16.6.2.2.2 Target Tracking Techniques, Occlusions, Clutter

Legters, Jr., G.R., and Young, T.Y.,
A Mathematical Model for Computer Image Tracking,
PAMI(4), No. 6, November 1982, pp. 583-594. Kalman Filter. Operates on synthetic binary images, operators for translation and rotation describe the motion and a predictive Kalman filter is used to track motion through occlusions (2-d rigid motion only). Differences between pairs of scenes (images) give a positive and negative image. From the error function, the adjustment in (Dx, Dy) can be computed (iterate!). The gradient of the error is computed to aid in this (change is in the direction of the gradient). There may be something in the formulation that implies that perfect differences can give proper results. BibRef 8211

Ichida, L.F.[Le_Roy F.], Sturla, R.A.[Robert A.], Sacks, J.M.[Jacob M.],
Scene tracker using multiple independent correlators,
US_Patent4,220,967, 09/02/1980.
HTML Version. Correlation tracking. BibRef 8009

Sacks, J.M.[Jack M.], Coleman, G.B.[Guy B.],
Target acquisition system and method,
US_Patent4,739,401, 04/19/1988.
HTML Version. BibRef 8804

Lo, T.K.[Thomas K.], Banh, N.D.[Nam D.], Bohn, T.T.[Timothy T.], Sacks, J.M.[Jack M.],
Apparatus and method for tracking a target,
US_Patent5,062,056, Oct 29, 1991
WWW Version. BibRef 9110

Kokaram, A.C., Morris, R.D., Fitzgerald, W.J., Rayner, P.J.W.,
Detection of Missing Data in Image Sequences,
IP(4), No. 11, November 1995, pp. 1496-1508.
IEEE DOI Link BibRef 9511
And:
Interpolation of Missing Data in Image Sequences,
IP(4), No. 11, November 1995, pp. 1509-1519.
IEEE DOI Link BibRef

Jauffret, C., Pillon, D.,
Observability in Passive Target Motion Analysis,
AeroSys(32), No. 4, October 1996, pp. 1290-1300. 9611
BibRef

Kirubarajan, T., Bar-Shalom, Y.,
Low Observable Target Motion Analysis Using Amplitude Information,
AeroSys(32), No. 4, October 1996, pp. 1367-1384. 9611
BibRef

Veenman, C.J.[Cor J.], Reinders, M.J.T.[Marcel J.T.], Backer, E.[Eric],
Resolving Motion Correspondence for Densely Moving Points,
PAMI(23), No. 1, January 2001, pp. 54-72.
IEEE Abstract.
IEEE DOI Link 0101
With lots of points, there is always ambiguity in the resulting match. Track to deal with occlusions, crossings, etc. BibRef

Veenman, C.J., Hendriks, E.A., Reinders, M.J.T.,
A fast and robust point tracking algorithm,
ICIP98(III: 653-657).
IEEE DOI Link 9810
BibRef

Jurie, F.[Frédéric], Dhome, M.[Michel],
Real time tracking of 3D objects: an efficient and robust approach,
PR(35), No. 2, February 2002, pp. 317-328.
WWW Version. 0201
BibRef

Masson, L., Jurie, F., Dhome, M.,
Tracking 3D Object using Flexible Models,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Masson, L., Dhome, M., Jurie, F.,
Robust real time tracking of 3D objects,
ICPR04(IV: 252-255).
IEEE DOI Link 0409
BibRef

Duculty, F., Dhome, M., Jurie, F.,
Real time 3D face tracking from appearance,
ICIP02(I: 581-584).
IEEE Abstract. 0210
BibRef
Earlier:
Tracking of 3D Objects from Appearance,
SCIA01(O-Tu5). 0206
BibRef

Jurie, F.[Frédéric], Dhome, M.[Michel],
Hyperplane Approximation for Template Matching,
PAMI(24), No. 7, July 2002, pp. 996-1000.
IEEE Abstract. 0207
BibRef
Earlier:
Real Time 3D Template Matching,
CVPR01(I:791-796).
IEEE Abstract. 0110
BibRef
And:
Real Time Tracking of 3d Objects with Occultations,
ICIP01(I: 413-416).
IEEE Abstract. 0108
3-D Pose. And Tracking. BibRef

Jurie, F.[Frederic], Dhome, M.[Michel],
Real Time Robust Template Matching,
BMVC02(Matching/Recognition). 0208
BibRef
Earlier:
A Simple and Efficient Template Matching Algorithm,
ICCV01(II: 544-549).
IEEE DOI Link 0106
BibRef

Iannizzotto, G.[Giancarlo], Vita, L.[Lorenzo],
On-line Object Tracking for Colour Video Analysis,
RealTimeImg(8), No. 2, April 2002, pp. 145-155.
WWW Version. 0208
Using contours, but not snake approach, track object with occlusions. See also Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images. BibRef

Iannizzotto, G.,
Real-time Object Tracking with Movels and Affine Transformations,
ICIP00(Vol I: 316-318).
IEEE Abstract. 0008
BibRef

Sanchez, O.[Olivia], Dibos, F.[Françoise],
Displacement Following of Hidden Objects in a Video Sequence,
IJCV(57), No. 2, May 2004, pp. 91-105.
WWW Version. 0402
Recovery of the most likely motion of the occluded object using optical flow (at time of occlusion). BibRef

Jonchery, C.[Claire], Dibos, F.[Françoise], Koepfler, G.[Georges],
Camera Motion Estimation Through Planar Deformation Determination,
JMIV(32), No. 1, September 2008, pp. xx-yy.
Springer DOI Link 0804
BibRef

Dibos, F.[Françoise], Jonchery, C.[Claire], Koepfler, G.[Georges],
Iterative Camera Motion and Depth Estimation in a Video Sequence,
CAIP09(1028-1035).
Springer DOI Link 0909
BibRef

Gentile, C.[Camillo], Camps, O.I.[Octavia I.], and Sznaier, M.[Mario],
Segmentation for Robust Tracking in the Presence of Severe Occlusion,
IP(13), No. 2, February 2004, pp. 166-178.
IEEE DOI Link 0404
BibRef
Earlier: CVPR01(II:483-489).
IEEE Abstract. 0110
Maintain the object when it passes behind another. Apply to traffic. BibRef

Lim, H.[Hwasup], Camps, O.I.[Octavia I.], Sznaier, M.[Mario], Morariu, V.I.[Vlad I.],
Dynamic Appearance Modeling for Human Tracking,
CVPR06(I: 751-757).
IEEE DOI Link 0606
BibRef

Lim, H.[Hwasup], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
A Caratheodory-Fejer Approach to Dynamic Appearance Modeling,
CVPR05(I: 301-307).
IEEE DOI Link 0507
BibRef

Fransen, B.R.[Benjamin R.], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
Robust Structure from Motion and Identified Dynamics,
ICCV05(I: 772-777).
IEEE DOI Link 0510
Estimate dynamics from previous frames. BibRef

Camps, O.I., Lim, H.[Hwasup], Mazzaro, C., Sznaier, M.,
A Caratheodory-Fejer Approach to Robust Multiframe Tracking,
ICCV03(1048-1055).
IEEE DOI Link 0311
Model the dynmaics as an unknown operator that satisfies certain interpolation conditions. BibRef

Nguyen, H.T.[Hieu T.], Smeulders, A.W.M.[Arnold W.M.],
Fast Occluded Object Tracking by a Robust Appearance Filter,
PAMI(26), No. 8, August 2004, pp. 1099-1104.
IEEE Abstract. 0407
BibRef
Earlier:
Template tracking using color invariant pixel features,
ICIP02(I: 569-572).
IEEE Abstract. 0210
Learn the object to handle aspect changes. Template matching based, with template updated by Kalman filter. BibRef

Nguyen, H.T.[Hieu T.], Smeulders, A.W.M.[Arnold W.M.],
Robust Tracking Using Foreground-Background Texture Discrimination,
IJCV(69), No. 3, September 2006, pp. 277-293.
Springer DOI Link 0606
BibRef
Earlier:
Tracking Aspects of the Foreground against the Background,
ECCV04(Vol II: 446-456).
WWW Version. 0405
BibRef

Nguyen, H.T.[Hieu T.], Ji, Q.A.[Qi-Ang], Smeulders, A.W.M.[Arnold W.M.],
Spatio-Temporal Context for Robust Multitarget Tracking,
PAMI(29), No. 1, January 2007, pp. 52-64.
IEEE DOI Link 0701
BibRef
Earlier:
Robust multi-target tracking using spatio-temporal context,
CVPR06(I: 578-585).
IEEE DOI Link 0606
Use context to maintain tracking with occlusions. Spatial context of background and nearby targets and the temporal context. BibRef

Yilmaz, A.[Alper], Li, X.[Xin], and Shah, M.[Mubarak],
Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras,
PAMI(26), No. 11, November 2004, pp. 1531-1536.
IEEE Abstract. 0410
BibRef

Loutas, E., Pitas, I., Nikou, C.,
Entropy-based metrics for the analysis of partial and total occlusion in video object tracking,
VISP(151), No. 6, December 2004, pp. 487-497.
IEEE Abstract. 0501
BibRef
Earlier: A1, A3, A2:
Information theory-based analysis of partial and total occlusion in object tracking,
ICIP02(II: 309-312).
IEEE Abstract. 0210
BibRef

Loutas, E., Nikolaidis, N., Pitas, I.,
Evaluation of tracking reliability metrics based on information theory and normalized correlation,
ICPR04(IV: 653-656).
IEEE DOI Link 0409
BibRef

Pang, C.C.C., Lam, W.W.L., Yung, N.H.C.,
A novel method for resolving vehicle occlusion in a monocular traffic-image sequence,
ITS(5), No. 3, September 2004, pp. 129-141.
IEEE Abstract. 0501
BibRef

Sun, C.C., Arr, G.S., Ramachandran, R.P., Ritchie, S.G.,
Vehicle Reidentification using multidetector fusion,
ITS(5), No. 3, September 2004, pp. 155-164.
IEEE Abstract. 0501
BibRef

Cavallaro, A.P., Steiger, O., Ebrahimi, T.,
Tracking Video Objects in Cluttered Background,
CirSysVideo(15), No. 4, April 2005, pp. 575-584.
IEEE Abstract. 0501
BibRef

Greenhill, D.R., Renno, J.R., Orwell, J., Jones, G.A.,
Learning the Semantic Landscape: Embedding scene knowledge in object tracking,
RealTimeImg(11), No. 3, June 2005, pp. 186-203.
WWW Version. 0508
BibRef

Greenhill, D.R., Renno, J.R., Orwell, J., Jones, G.A.,
Occlusion Analysis: Learning and Utilising Depth Maps in Object Tracking,
IVC(26), No. 3, 3 March 2008, pp. 430-441.
WWW Version. 0801
BibRef
Earlier: BMVC04(xx-yy).
HTML Version. 0508
Object tracking; Occlusion analysis; Depth map BibRef

Ren, J.P., Orwell, J., Jones, G.A.,
Towards plug-and-play visual surveillance: learning tracking models,
ICIP02(III: 453-456).
IEEE Abstract. 0210
BibRef

Gao, J.[Jean], Kosaka, A.[Akio], Kak, A.C.[Avinash C.],
A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments,
CVIU(99), No. 1, July 2005, pp. 1-57.
WWW Version.
PDF Version. 0506
BibRef
And: Erratum: CVIU(102), No. 3, June 2006, pp. 259.
WWW Version. BibRef
And: Corrected version: CVIU(102), No. 3, June 2006, pp. 260-316.
WWW Version. Kalman filtering; Normalized cross-correlation; Recursive motion estimation; Boundary extraction; Region growing; Human-in-the-loop segmentation 0605
BibRef

Yoon, Y.R.[Young-Rock], Kosaka, A.[Akio], Kak, A.C.[Avinash C.],
A New Kalman-Filter-Based Framework for Fast and Accurate Visual Tracking of Rigid Objects,
RA(24), No. 5, October 2008, pp. xx-yy.
PDF Version. BibRef 0810

Kwon, H., Yoon, Y.R., Park, J.B., and Kak, A.C.,
Person Tracking with a Mobile Robot using Two Uncalibrated Independently Moving Cameras,
CRA05(xx-yy).
PDF Version. BibRef 0500

Yoon, Y.R., Kosaka, A., Park, J.B., and Kak, A.C.,
A New Approach to the Use of Edge Extremities for Model-based Object Tracking,
CRA05(xx-yy).
PDF Version. BibRef 0500

Gao, J.[Jean],
Self-occlusion immune video tracking of objects in cluttered environments,
AVSBS03(79-84).
IEEE Abstract. 0310
BibRef

Senior, A.W.[Andrew W.], Hampapur, A.[Arun], Tian, Y.L.[Ying-Li], Brown, L.M.[Lisa M.], Pankanti, S.[Sharath], Bolle, R.M.[Ruud M.],
Appearance Models for Occlusion Handling,
IVC(24), No. 11, 1 November 2006, pp. 1233-1243.
WWW Version. 0610
BibRef
Earlier: PETS01(xx-yy). 0110
Probabilistic color appearance models; Visual vehicle and people tracking; Occlusion resolution; Moving object segmentation; Surveillance BibRef

Brown, L.M., Lu, M.[Max], Shu, C.F.[Chiao-Fe], Tian, Y.L.[Ying-Li], Hampapur, A.,
Improving Performance via Post Track Analysis,
PETS05(341-347).
IEEE DOI Link 0602
BibRef

Xu, M.[Ming], Ellis, T.[Tim],
Augmented tracking with incomplete observation and probabilistic reasoning,
IVC(24), No. 11, 1 November 2006, pp. 1202-1217.
WWW Version. 0610
Kalman filtering; Occlusion; Partial observation; BAYESIAN network BibRef

Xu, M.[Ming], Ellis, T.[Tim], Godsill, S.J., Jones, G.A.,
Visual tracking of partially observable targets with suboptimal filtering,
IET-CV(5), No. 1, March 2011, pp. 1-13.
WWW Version. 1101
BibRef

Khan, Z.[Zia], Balch, T.[Tucker], Dellaert, F.[Frank],
MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements,
PAMI(28), No. 12, December 2006, pp. 1960-1972.
IEEE DOI Link 0611
BibRef
Earlier:
Multitarget Tracking with Split and Merged Measurements,
CVPR05(I: 605-610).
IEEE DOI Link 0507
BibRef

Schindler, G.[Grant], Dellaert, F.[Frank],
A Rao-Blackwellized Parts-Constellation Tracker,
WDV06(178-189).
Springer DOI Link 0705
BibRef

Magarey, J.F.A.[Julian Frank Andrew],
Video feature tracking with loss-of-track detection,
US_Patent7,177,446, Feb 13, 2007
WWW Version. BibRef 0702

Lin, W.C.[Wen-Chieh], Liu, Y.X.[Yan-Xi],
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking,
PAMI(29), No. 5, May 2007, pp. 777-792.
IEEE DOI Link 0704
BibRef
Earlier:
Tracking Dynamic Near-Regular Texture Under Occlusion and Rapid Movements,
ECCV06(II: 44-55).
Springer DOI Link 0608
BibRef

Lin, W.C.[Wen-Chieh],
A Lattice-based MRF model for Dynamic Near-regular Texture Tracking and Manipulation,
CMU-RI-TR-05-58, December, 2005. BibRef 0512 Ph.D.Thesis.
WWW Version. BibRef

Shang, L.M.[Li-Min], Jasiobedzki, P.[Piotr], Greenspan, M.[Michael],
Model-Based Tracking by Classification in a Tiny Discrete Pose Space,
PAMI(29), No. 6, June 2007, pp. 976-989.
IEEE DOI Link 0704
BibRef
Earlier:
Discrete pose space estimation to improve ICP-based tracking,
3DIM05(523-530).
IEEE DOI Link 0508
BibRef
Earlier: A3, A1, A2:
Efficient Tracking with the Bounded Hough Transform,
CVPR04(I: 520-527).
IEEE Abstract. 0408
Use known motion limits to reduce match search space. Hybrid method combines with ICP for better results. BibRef

Shang, L.M.[Li-Min], Greenspan, M.[Michael],
Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding,
IJCV(89), No. 2-3, September 2010, pp. xx-yy.
Springer DOI Link 1006
BibRef

Shang, L.M.[Li-Min], Greenspan, M.[Michael],
Pose Determination by Potential Well Space Embedding,
3DIM07(297-304).
IEEE DOI Link 0708
BibRef

Bennett, B.[Brandon], Magee, D.R.[Derek R.], Cohn, A.G.[Anthony G.], Hogg, D.C.[David C.],
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity,
IVC(26), No. 1, 1 January 2008, pp. 67-81.
WWW Version. 0711
Visual surveillance; Spatial reasoning; Temporal reasoning; Resolving ambiguity; Continuity BibRef

Ross, D.A.[David A.], Lim, J.W.[Jong-Woo], Lin, R.S.[Ruei-Sung], Yang, M.H.[Ming-Hsuan],
Incremental Learning for Robust Visual Tracking,
IJCV(77), No. 1-3, May 2008, pp. 125-141.
Springer DOI Link 0803
BibRef
Earlier: A1, A2, A4, Only:
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update,
ECCV04(Vol II: 470-482).
WWW Version. 0405
Deal with lighting changes. BibRef

Yang, M.H.[Ming-Hsuan], Lin, R.S.[Ruei-Sung], Lim, J.W.[Jong-Woo], Ross, D.A.[David A.],
Adaptive discriminative generative model and application to visual tracking,
US_Patent7,369,682, May 6, 2008
WWW Version. BibRef 0805

Zhu, L.[Lin], Zhou, J.[Jie], Song, J.Y.[Jing-Yan],
Tracking multiple objects through occlusion with online sampling and position estimation,
PR(41), No. 8, August 2008, pp. 2447-2460.
WWW Version. 0805
Multiple objects tracking; Occlusion; Online sampling; Position estimation BibRef

Imai, J.I.[Jun-Ichi], Kaneko, M.[Masahide],
Visual Tracking in Occlusion Environments by Autonomous Switching of Targets,
IEICE(E91-D), No. 1, January 2008, pp. 86-95.
WWW Version. 0801
BibRef

Hotta, K.[Kazuhiro],
A Robust Object Tracking Method under Pose Variation and Partial Occlusion,
IEICE(E89-D), No. 7, July 2006, pp. 2132-2141.
WWW Version. 0607
BibRef

Hotta, K.[Kazuhiro],
Adaptive Weighting of Local Classifiers by Particle Filter,
ICPR06(II: 610-613).
IEEE DOI Link 0609
BibRef

Yang, T.[Tao], Li, J.[Jing], Pan, Q.[Quan], Cheng, Y.M.[Yong-Mei],
Visual Tracking With Automatic Confident Region Extraction,
IJIG(8), No. 3, July 2008, pp. 369-381. 0807
BibRef

Yang, T.[Tao], Li, S.Z.[Stan Z.], Pan, Q.[Quan], Li, J.[Jing],
Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes,
CVPR05(I: 970-975).
IEEE DOI Link 0507
BibRef

Asadi, M., Monti, F.[Francesco], Regazzoni, C.S.[Carlo S.],
Feature Classification for Robust Shape-Based Collaborative Tracking and Model Updating,
JIVP(2008), No. 2008, pp. xx-yy.
WWW Version. 0811
BibRef

Asadi, M.[Majid], Regazzoni, C.S.[Carlo S.],
A Comparison of Different Approaches to Nonlinear Shift Estimation for Object Tracking,
ICIP07(III: 221-224).
IEEE DOI Link 0709
BibRef

Dore, A.[Alessio], Soto, M., Regazzoni, C.S.[Carlo S.],
Bayesian Tracking for Video Analytics,
SPMag(27), No. 5, 2010, pp. 46-55.
IEEE DOI Link 1003
BibRef

Dore, A.[Alessio], Asadi, M.[Majid], Regazzoni, C.S.[Carlo S.],
Online Discriminative Feature Selection in a Bayesian Framework using Shape and Appearance,
VS08(xx-yy). 0810
BibRef

Asadi, M.[Majid], Regazzoni, C.S.[Carlo S.],
A Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors,
AVSBS08(108-115).
IEEE DOI Link 0809
See also Commentary Paper 2 on A Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors. See also Commentary Paper 1 on A Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors. BibRef

Beoldo, A.[Andrea], Dore, A.[Alessio], Regazzoni, C.S.[Carlo S.],
Extraction of contextual information for automotive applications,
ICIP09(1153-1156).
IEEE DOI Link 0911
To detect other vehicles in traffic. BibRef

Dore, A.[Alessio], Beoldo, A.[Andrea], Regazzoni, C.S.[Carlo S.],
Multitarget tracking with a corner-based particle filter,
VS09(1251-1258).
IEEE DOI Link 0910
BibRef
Earlier:
Multiple cue adaptive tracking of deformable objects with Particle Filter,
ICIP08(237-240).
IEEE DOI Link 0810
BibRef

Asadi, M., Dore, A., Beoldo, A., Regazzoni, C.S.,
Tracking by using dynamic shape model learning in the presence of occlusion,
AVSBS07(230-235).
IEEE DOI Link 0709
BibRef

Asadi, M., Beoldo, A., Regazzoni, C.S.,
A Nonlinear-Shift Approach to Object Tracking Based on Shape Information,
CIAP07(311-316).
IEEE DOI Link 0709
Apply to vehicles also. BibRef

Piva, S., Comes, L., Asadi, M., Regazzoni, C.S.,
Grouped-People Splitting Based on Face Detection and Body Proportion Constraints,
AVSBS06(24-24).
IEEE DOI Link 0611
BibRef

Papadakis, N.[Nicolas], Bugeau, A.[Aurelie],
Tracking with Occlusions via Graph Cuts,
PAMI(33), No. 1, January 2011, pp. 144-157.
IEEE DOI Link 1011
See also Multi-label Depth Estimation for Graph Cuts Stereo Problems. See also Track and Cut: Simultaneous Tracking and Segmentation of Multiple Objects with Graph Cuts. Deal with occlusions. BibRef

Nakhmani, A.[Arie], Tannenbaum, A.[Allen],
Particle Filtering with Region-Based Matching for Tracking of Partially Occluded and Scaled Targets,
SIIMS(4), No. 1, 2011, pp. 220-242.
WWW Version.
WWW Version. visual tracking; particle filtering; normalized cross-correlation; occlusions; scale changes BibRef 1100

Lee, J.[Jehoon], Lankton, S.[Shawn], Tannenbaum, A.[Allen],
Object Tracking and Target Reacquisition Based on 3-D Range Data for Moving Vehicles,
IP(20), No. 10, October 2011, pp. 2912-2924.
IEEE DOI Link 1110
BibRef

Lankton, S.[Shawn], Malcolm, J.[James], Nakhmani, A.[Arie], Tannenbaum, A.[Allen],
Tracking through changes in scale,
ICIP08(241-244).
IEEE DOI Link
PDF Version. 0810
BibRef

Lee, J.[Jehoon], Karasev, P.[Peter], Tannenbaum, A.[Allen],
Range based object tracking and segmentation,
ICIP10(4641-4644).
IEEE DOI Link 1009
BibRef

Karasev, P.[Peter], Malcolm, J.[James], Tannenbaum, A.[Allen],
Kernel-based high-dimensional histogram estimation for visual tracking,
ICIP08(2728-2731).
IEEE DOI Link 0810
BibRef

Malcolm, J.[James], Rathi, Y.[Yogesh], Tannenbaum, A.[Allen],
Label Space: A Multi-object Shape Representation,
IWCIA08(xx-yy).
Springer DOI Link 0804
BibRef
Earlier:
Multi-Object Tracking Through Clutter Using Graph Cuts,
NRTL07(1-5).
IEEE DOI Link 0710
BibRef
And:
Tracking Through Clutter Using Graph Cuts,
BMVC07(xx-yy).
PDF Version. 0709
See also Graph Cut Segmentation with Nonlinear Shape Priors. BibRef

Keck, Jr., M.A.[Mark A.], Davis, J.W.[James W.],
Recovery and Reasoning About Occlusions in 3D Using Few Cameras with Applications to 3D Tracking,
IJCV(95), No. 3, December 2011, pp. 240-264.
WWW Version. 1109
BibRef
Earlier:
3D occlusion recovery using few cameras,
CVPR08(1-8).
IEEE DOI Link 0806
Location of static occlusions and dynamic occlusion. Effectively track objects. BibRef

Tyagi, A.[Ambrish], Davis, J.W.[James W.], Keck, Jr., M.A.[Mark A.],
Multiview fusion for canonical view generation based on homography constraints,
VSSN06(61-70).
WWW Version. 0701
BibRef

Keck, Jr., M.A.[Mark A.], Davis, J.W.[James W.], Tyagi, A.[Ambrish],
Tracking mean shift clustered point clouds for 3D surveillance,
VSSN06(187-194).
WWW Version. 0701
BibRef

Panda, D.K.[Deepak Kumar], Meher, S.[Sukadev],
Robust real-time object tracking under background clutter,
ICIIP11(1-6).
IEEE DOI Link 1112
BibRef

Zhu, S.Q.[Sen-Qiang], Wang, D.W.[Dan-Wei],
Cooperative ground target tracking with input constraints,
ICARCV10(1051-1056).
IEEE DOI Link 1109
BibRef

Abramson, H.[Haggai], Avidan, S.[Shai],
Tracking through scattered occlusion,
MLVMA11(1-8).
IEEE DOI Link 1106
BibRef

Wu, Y.[Yi], Ling, H.B.[Hai-Bin], Blasch, E.[Erik], Bai, L.[Li], Chen, G.[Genshe],
Visual Tracking Based on Log-Euclidean Riemannian Sparse Representation,
ISVC11(I: 738-747).
Springer DOI Link 1109
BibRef

Mei, X.[Xue], Ling, H.B.[Hai-Bin], Wu, Y.[Yi], Blasch, E.[Erik], Bai, L.[Li],
Minimum error bounded efficient L1 tracker with occlusion detection,
CVPR11(1257-1264).
IEEE DOI Link 1106
BibRef

Yang, T.[Tao], Zhang, Y.N.[Yan-Ning], Tong, X.M.[Xiao-Min], Zhang, X.Q.[Xiao-Qiang], Yu, R.[Rui],
Continuously tracking and see-through occlusion based on a new hybrid synthetic aperture imaging model,
CVPR11(3409-3416).
IEEE DOI Link 1106
BibRef

Wirkert, S.[Sebastian], Dellandrea, E.[Emmanuel], Chen, L.M.[Li-Ming],
Bayesian GOETHE Tracking,
ICPR10(2077-2080).
IEEE DOI Link 1008
To deal with occlusions. BibRef

Grabner, H.[Helmut], Matas, J.G.[Jiri G.], Van Gool, L.J.[Luc J.], Cattin, P.[Philippe],
Tracking the invisible: Learning where the object might be,
CVPR10(1285-1292).
IEEE DOI Link Video of talk:
WWW Version. 1006
BibRef

Bibby, C.[Charles], Reid, I.D.[Ian D.],
Real-time tracking of multiple occluding objects using level sets,
CVPR10(1307-1314).
IEEE DOI Link 1006
BibRef

Smith, A.W.B.[Andrew W.B.], Lovell, B.C.[Brian C.],
Self Occlusions and Graph Based Edge Measurement Schemes for Visual Tracking Applications,
DICTA09(416-423).
IEEE DOI Link 0912
BibRef
Earlier:
Measurement Function Design for Visual Tracking Applications,
ICPR06(I: 789-792).
IEEE DOI Link 0609
BibRef

Meng, G.[Gang], Jiang, Z.G.[Zhi-Guo], Zhao, D.[Danpei], Ye, K.[Keren],
Real-Time Illumination Robust Maneuvering Target Tracking Based on Color Invariance,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Bianchi, L.[Luca], Dondi, P.[Piercarlo], Gatti, R.[Riccardo], Lombardi, L.[Luca], Lombardi, P.[Paolo],
Evaluation of a Foreground Segmentation Algorithm for 3D Camera Sensors,
CIAP09(797-806).
Springer DOI Link 0909
BibRef

Bianchi, L.[Luca], Gatti, R.[Riccardo], Lombardi, L.[Luca], Lombardi, P.[Paolo],
Tracking without Background Model for Time-of-Flight Cameras,
PSIVT09(726-737).
Springer DOI Link 0901
Different problem -- have the depth to deal with occlusions, etc. Separate the object by depth, then track. BibRef

Lipton, A.J.[Alan J.],
Commentary Paper 1 on 'A Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors',
AVSBS08(116-116).
IEEE DOI Link 0809
See also Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors, A. BibRef

Malik, H.[Hafiz],
Commentary Paper 2 on 'A Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors',
AVSBS08(117-118).
IEEE DOI Link 0809
See also Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors, A. BibRef

Keitler, P.[Peter], Schlegel, M.[Michael], Klinker, G.[Gudrun],
Indirect Tracking to Reduce Occlusion Problems,
ISVC08(II: 224-235).
Springer DOI Link 0812
BibRef

Campbell-West, F., Wang, H.B.[Hong-Bin], Miller, P.,
Where is It? Object Reacquisition in Surveillance Video,
IMVIP08(182-187).
IEEE DOI Link 0809
BibRef

Ablavsky, V.[Vitaly], Sclaroff, S.[Stan],
Layered Graphical Models for Tracking Partially Occluded Objects,
PAMI(33), No. 9, September 2011, pp. 1758-1775.
IEEE DOI Link 1109
BibRef
Earlier: Add A2: Thangali, A.[Ashwin], CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Joshi, N.[Neel], Avidan, S.[Shai], Matusik, W.[Wojciech], Kriegman, D.J.[David J.],
Synthetic Aperture Tracking: Tracking through Occlusions,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Cannons, K.[Kevin], Wildes, R.P.[Richard P.],
Spatiotemporal Oriented Energy Features for Visual Tracking,
ACCV07(I: 532-543).
Springer DOI Link 0711
Track oriented features. Especially in clutter. BibRef

Huang, Z.Q.[Zhuan Qing], Jiang, Z.H.[Zhu-Han],
Target Positioning with Dominant Feature Elements,
CAIP07(69-76).
Springer DOI Link 0708
BibRef

Reilly, V.[Vladimir], Solmaz, B.[Berkan], Shah, M.[Mubarak],
Geometric Constraints for Human Detection in Aerial Imagery,
ECCV10(VI: 252-265).
Springer DOI Link 1009
BibRef

Reilly, V.[Vladimir], Idrees, H.[Haroon], Shah, M.[Mubarak],
Detection and Tracking of Large Number of Targets in Wide Area Surveillance,
ECCV10(III: 186-199).
Springer DOI Link 1009
BibRef

Ali, S.[Saad], Reilly, V.[Vladimir], Shah, M.[Mubarak],
Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in Aerial Videos,
CVPR07(1-6).
IEEE DOI Link 0706
BibRef

Ali, S.[Saad], Sheikh, Y.A.[Yaser A.], Hu, M.[Min], Scovanner, P.[Paul],
COCOA: Alignment, Object Detection, Object Tracking and Indexing of Aerial Videos,
Online2006,
HTML Version.
HTML Version. See also Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras. BibRef 0600

Ali, S.[Saad], Shah, M.[Mubarak],
COCOA: Tracking in Aerial Imagery,
SPIE(nnnn), March 2006, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications, Orlando.
PDF Version. And for more details on the project. BibRef 0603

Namboodiri, V.P.[Vinay P.], Ghorawat, A.[Amit], Chaudhuri, S.[Subhasis],
Improved Kernel-Based Object Tracking Under Occluded Scenarios,
ICCVGIP06(504-515).
Springer DOI Link 0612
BibRef

Zhou, Y.[Yan], Hu, B.[Bo], Zhang, J.Q.[Jian-Qiu],
Occlusion Detection and Tracking Method Based on Bayesian Decision Theory,
PSIVT06(474-482).
Springer DOI Link 0612
BibRef

Yin, Z.Z.[Zhao-Zheng], Collins, R.T.[Robert T.],
Shape constrained figure-ground segmentation and tracking,
CVPR09(731-738).
IEEE DOI Link 0906
BibRef
Earlier:
Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef
Earlier:
Spatial Divide and Conquer with Motion Cues for Tracking through Clutter,
CVPR06(I: 570-577).
IEEE DOI Link 0606
BibRef

Bunyak, F.[Filiz], Subramanya, S.R.,
Maintaining Trajectories of Salient Objects for Robust Visual Tracking,
ICIAR05(820-827).
Springer DOI Link 0509
BibRef

Guha, P.[Prithwijit], Mukerjee, A.[Amitabha], Venkatesh, K.S.,
Efficient occlusion handling for multiple agent tracking by reasoning with surveillance event primitives,
PETS05(49-56).
IEEE DOI Link 0602
BibRef

Bartesaghi, A., Sapiro, G.,
Tracking of Moving Objects Under Severe and Total Occlusions,
ICIP05(I: 301-304).
IEEE DOI Link 0512
BibRef

Mittrapiyanuruk, P.[Pradit], de Souza, G.N.[Guilherme N.], Kak, A.C.[Avinash C.],
Accurate 3D Tracking of Rigid Objects with Occlusion Using Active Appearance Models,
Motion05(II: 90-95).
IEEE DOI Link
PDF Version. 0502
BibRef

Apostoloff, N.[Nicholas], Fitzgibbon, A.W.[Andrew W.],
Learning Spatiotemporal T-Junctions for Occlusion Detection,
CVPR05(II: 553-559).
IEEE DOI Link 0507
BibRef

Huang, Y.[Yan], Essa, I.A.[Irfan A.],
Tracking Multiple Objects through Occlusions,
CVPR05(II: 1051-1058).
IEEE DOI Link
WWW Version. Dataset, Actions. 0507
BibRef
And: CVPR05(II: 1182).
IEEE DOI Link 0507
See also Georgia Tech. BibRef

Tsukamoto, Y.[Yoshihiko], Matsumoto, Y.[Yusuke], Wada, T.[Toshikazu],
Tracking a firefly: A stable likelihood estimation for variable appearance object tracking-,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Sakagaito, J.[Junya], Wada, T.[Toshikazu],
Nearest First Traversing Graph for Simultaneous Object Tracking and Recognition,
CVPR07(1-7).
IEEE DOI Link 0706
BibRef

Wada, T.[Toshikazu], Sakagaito, J.[Junya], Kato, T.[Takekazu],
Simultaneous Object Tracking and Recognition by Nearest Neighbor Traversing Graph,
CREST05(154-161).
WWW Version. 0505
BibRef

Stauffer, C.[Chris],
Learning to Track Objects Through Unobserved Regions,
Motion05(II: 96-102).
IEEE DOI Link 0502
BibRef

Stauffer, C.[Chris],
Learning a Factorized Segmental Representation of Far-Field Tracking Data,
EventVideo04(115).
HTML Version. 0502
BibRef

Moustakas, K., Tzovaras, D., Strintzis, M.G.,
A non causal bayesian framework for object tracking and occlusion handling for the synthesis of stereoscopic video,
3DPVT04(147-154).
IEEE Abstract. 0412
Occlusions for gait. BibRef

Kang, J.M.[Jin-Man], Cohen, I., Medioni, G.,
Object reacquisition using invariant appearance model,
ICPR04(IV: 759-762).
IEEE DOI Link 0409
BibRef

Penne, T.[Thomas], Tilmant, C.[Christophe], Chateau, T.[Thierry], Barra, V.[Vincent],
Modular Ensemble Tracking,
IPTA10(363-368).
IEEE DOI Link 1007
BibRef

Chateau, T.[Thierry], Gay-Belille, V.[Vincent], Chausse, F.[Frederic], Lapresté, J.T.[Jean-Thierry],
Real-Time Tracking with Classifiers,
WDV06(218-231).
Springer DOI Link 0705
BibRef

Chateau, T., Lapreste, J.T.,
Real time tracking with occlusion and illumination variations,
ICPR04(IV: 763-766).
IEEE DOI Link 0409
BibRef

Chateau, T., Jurie, F., Dhome, M., Clady, X.,
Real-Time Tracking Using Wavelet Representation,
DAGM02(523 ff.).
HTML Version. 0303
BibRef

Takada, C.[Chika], Sugaya, Y.[Yasuyuki],
Detecting Incorrect Feature Tracking by Affine Space Fitting,
PSIVT09(191-202).
Springer DOI Link 0901
BibRef

Sugaya, Y.[Yasuyuki], Kanatani, K.[Kenichi],
Extending Interrupted Feature Point Tracking for 3-D Affine Reconstruction,
ECCV04(Vol I: 310-321).
WWW Version. 0405
Deal with occlusions in tracking. See also Optimizing a Triangular Mesh for Shape Reconstruction from Images. BibRef

Wildenauer, H., Melzer, T., Bischof, H.,
A gradient-based eigenspace approach to dealing with occlusions and non-gaussian noise,
ICPR02(II: 977-980).
IEEE DOI Link 0211
BibRef

Gao, J., Kak, A.,
Multi-frame based motion estimation for semantic object tracking in the presence of occlusion,
ICIP02(III: 881-884).
IEEE Abstract. 0210
BibRef

Marcenaro, L., Ferrari, M., Marcbesotti, L., Regazzoni, C.S.,
Multiple object tracking under heavy occlusions by using kalman filters based on shape matching,
ICIP02(III: 341-344).
IEEE Abstract. 0210
BibRef

Luo, Z.X.[Zhong-Xiang], Zhuang, Y.T.[Yue-Ting], Liu, F.[Feng], Pan, Y.H.[Yun-He],
Incomplete motion feature tracking algorithm in video sequences,
ICIP02(III: 617-620).
IEEE Abstract. 0210
BibRef

Loutas, E., Diamantaras, K.I., Pitas, I.,
Occlusion Resistant Object Tracking,
ICIP01(II: 65-68).
IEEE Abstract. 0108
BibRef

Brill, F.Z., Martin, W.N., Olson, T.J.,
Markers Elucidated and Applied in Local 3-Space,
SCV95(49-54).
IEEE Top Reference. U. of Virginia. Markers -- objects being tracked, which may be occluded. BibRef 9500

Sherrah, J.[Jamie], Gong, S.G.[Shao-Gang],
Resolving Visual Uncertainty and Occlusion through Probabilistic Reasoning,
BMVC00(xx-yy).
PDF Version. 0009
BibRef
And:
Tracking Discontinuous Motion using Bayesian Inference,
ECCV00(II: 150-166).
WWW Version. 0003
BibRef

Gidas, B., Robertson, C., de Almeida, M.P.[Murilo Pereira],
Tracking of Moving Objects in Cluttered Environments Via Monte Carlo Filter,
ICPR00(Vol I: 175-178).
IEEE DOI Link 0009
BibRef

Baker, K.D., Grove, T.[Tom], Tan, T.N.,
Colour Based Object Tracking,
ICPR98(Vol II: 1442-1444).
IEEE DOI Link 9808
Track using color histogram, not blobs. BibRef

Bonnaud, L., and Labit, C.,
Multiple Occluding Objects Tracking Using a Non-Redundant Boundary-Based Representation for Image Sequence Interpolation After Decoding,
ICIP97(II: 426-429).
IEEE DOI Link BibRef 9700

Mae, Y.S.[Yasu-Shi], Shirai, Y.[Yoshiaki],
Tracking Moving Object in 3-D Space Based on Optical Flow and Edges,
ICPR98(Vol II: 1439-1441).
IEEE DOI Link 9808
BibRef

Mae, Y., Shirai, Y., Miura, J., Kuno, Y.,
Object Tracking in Cluttered Background Based on Optical Flow and Edges,
ICPR96(I: 196-200).
IEEE DOI Link 9608
(Osaka Univ., J) BibRef

Cooper, P.R.[Paul R.], Birnbaum, L.A.[Lawrence A.], Halabe, D.[Daniel], Brand, M.[Matthew], Prokopowicz, P.N.[Peter N.],
Divided we fall: Resolving occlusions using causal reasoning,
ECCV94(A:535-540).
Springer DOI Link 9405
BibRef

Gordon, G.L.,
On the Tracking of Featureless Objects with Occlusion,
Motion89(13-20). Objects (blobs) are tracked using size for matching. BibRef 8900

Ward, M.O., Chien, Y.T.,
Occlusion Analysis in Time-Varying Imagery,
PRIP81(504-507). BibRef 8100

Thompson, W.B., Whillock, R.P.,
Occlusion-Sensitive Matching,
ICCV88(285-289).
IEEE Abstract. BibRef 8800

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking Techniques, Particle Filter Techniques .