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0206
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0110
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0510
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Template tracking using color invariant pixel features,
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0210
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0606
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WWW Version.
0405
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0701
BibRef
Earlier:
Robust multi-target tracking using spatio-temporal context,
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0606
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0508
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0801
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Earlier:
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0508
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PDF Version.
0506
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Erratum:
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0610
BibRef
Earlier:
PETS01(xx-yy).
0110
Probabilistic color appearance models; Visual vehicle and people tracking;
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0610
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0611
BibRef
Earlier:
Multitarget Tracking with Split and Merged Measurements,
CVPR05(I: 605-610).
IEEE DOI Link
0507
BibRef
Schindler, G.[Grant],
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0705
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Lin, W.C.[Wen-Chieh],
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0704
BibRef
Earlier:
Tracking Dynamic Near-Regular Texture Under Occlusion and Rapid
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ECCV06(II: 44-55).
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0608
BibRef
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Ph.D.Thesis.
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0704
BibRef
Earlier:
Discrete pose space estimation to improve ICP-based tracking,
3DIM05(523-530).
IEEE DOI Link
0508
BibRef
Earlier: A3, A1, A2:
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IEEE Abstract. IEEE Top Reference.
0408
Use known motion limits to reduce match search space.
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WWW Version.
0711
Visual surveillance; Spatial reasoning; Temporal reasoning;
Resolving ambiguity; Continuity
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0803
BibRef
Earlier: A1, A2, A4, Only:
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WWW Version.
0405
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IEEE DOI Link
0803
BibRef
Earlier:
An Efficient Object Tracking Algorithm with Adaptive Prediction of
Initial Searching Point,
PSIVT06(1113-1122).
Springer DOI Link
0612
BibRef
Pan, J.Y.[Ji-Yan],
Hu, B.[Bo],
Robust Object Tracking Against Template Drift,
ICIP07(III: 353-356).
IEEE DOI Link
0709
BibRef
And:
Robust Occlusion Handling in Object Tracking,
OTCBVS07(1-8).
IEEE DOI Link
0706
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Zhu, L.[Lin],
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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],
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WWW Version.
0801
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Hotta, K.[Kazuhiro],
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0607
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Yang, T.[Tao],
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0807
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Yang, T.[Tao],
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IEEE DOI Link
0507
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Asadi, M.,
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WWW Version.
0811
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Asadi, M.[Majid],
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A Comparison of Different Approaches to Nonlinear Shift Estimation for
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ICIP07(III: 221-224).
IEEE DOI Link
0709
BibRef
Dore, A.[Alessio],
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0810
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A Probabilistic Bayesian Framework for Model-Based Object Tracking
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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
Dore, A.[Alessio],
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ICIP08(237-240).
IEEE DOI Link
0810
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Asadi, M.,
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Beoldo, A.,
Regazzoni, C.S.,
Tracking by using dynamic shape model learning in the presence of
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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
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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
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AVSBS06(24-24).
IEEE DOI Link
0611
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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
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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
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AVSBS08(117-118).
IEEE DOI Link
0809
See also Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors, A.
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Pan, P.[Pan],
Schonfeld, D.[Dan],
Visual tracking using high-order Monte Carlo Markov chain,
ICIP08(2636-2639).
IEEE DOI Link
0810
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Keitler, P.[Peter],
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Klinker, G.[Gudrun],
Indirect Tracking to Reduce Occlusion Problems,
ISVC08(II: 224-235).
Springer DOI Link
0812
BibRef
Campbell-West, F.,
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Miller, P.,
Where is It? Object Reacquisition in Surveillance Video,
IMVIP08(182-187).
IEEE DOI Link
0809
BibRef
Ablavsky, V.[Vitaly],
Thangali, A.[Ashwin],
Sclaroff, S.[Stan],
Layered graphical models for tracking partially-occluded objects,
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0806
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Joshi, N.[Neel],
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Matusik, W.[Wojciech],
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Synthetic Aperture Tracking: Tracking through Occlusions,
ICCV07(1-8).
IEEE DOI Link
0710
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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
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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
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.[Zhuhan],
Target Positioning with Dominant Feature Elements,
CAIP07(69-76).
Springer DOI Link
0708
BibRef
Ali, S.[Saad],
Reilly, V.[Vladimir],
Shah, M.[Mubarak],
Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in
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CVPR07(1-6).
IEEE DOI Link
0706
BibRef
Ali, S.[Saad],
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Hu, M.[Min],
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Online2006,
HTML Version.
See also Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras.
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Ali, S.[Saad],
Shah, M.[Mubarak],
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SPIE(nnnn), March 2006, Airborne Intelligence, Surveillance,
Reconnaissance (ISR) Systems and Applications, Orlando.
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BibRef
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Namboodiri, V.P.[Vinay P.],
Ghorawat, A.[Amit],
Chaudhuri, S.[Subhasis],
Improved Kernel-Based Object Tracking Under Occluded Scenarios,
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Springer DOI Link
0612
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Zhou, Y.[Yan],
Hu, B.[Bo],
Zhang, J.Q.[Jian-Qiu],
Occlusion Detection and Tracking Method Based on Bayesian Decision
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PSIVT06(474-482).
Springer DOI Link
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Latecki, L.J.[Longin Jan],
Miezianko, R.[Roland],
Object Tracking with Dynamic Template Update and Occlusion Detection,
ICPR06(I: 556-560).
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0609
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Yin, Z.Z.[Zhao-Zheng],
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IEEE DOI Link
0906
BibRef
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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
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Bunyak, F.[Filiz],
Subramanya, S.R.,
Maintaining Trajectories of Salient Objects for Robust Visual Tracking,
ICIAR05(820-827).
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0509
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PETS05(49-56).
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0602
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Sapiro, G.,
Tracking of Moving Objects Under Severe and Total Occlusions,
ICIP05(I: 301-304).
IEEE DOI Link
0512
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Kak, A.C.[Avinash C.],
Accurate 3D Tracking of Rigid Objects with Occlusion Using Active
Appearance Models,
Motion05(II: 90-95).
WWW Version.
PDF Version.
0502
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Fitzgibbon, A.W.[Andrew W.],
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CVPR05(II: 553-559).
IEEE DOI Link
0507
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Essa, I.A.[Irfan A.],
Tracking Multiple Objects through Occlusions,
CVPR05(II: 1051-1058).
IEEE DOI Link
WWW Version.
Dataset, Actions.
0507
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And:
CVPR05(II: 1182).
IEEE DOI Link
0507
See also Georgia Tech.
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Wada, T.[Toshikazu],
Tracking a firefly: A stable likelihood estimation for variable
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Nearest First Traversing Graph for Simultaneous Object Tracking and
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CREST05(154-161).
WWW Version.
0505
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Motion05(II: 96-102).
WWW Version.
0502
BibRef
Stauffer, C.[Chris],
Learning a Factorized Segmental Representation of Far-Field Tracking
Data,
EventVideo04(115).
HTML Version.
0502
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0412
Occlusions for gait.
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Kang, J.M.[Jin-Man],
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Object reacquisition using invariant appearance model,
ICPR04(IV: 759-762).
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0409
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Lapresté, J.T.[Jean-Thierry],
Real-Time Tracking with Classifiers,
WDV06(218-231).
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0705
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Lapreste, J.T.,
Real time tracking with occlusion and illumination variations,
ICPR04(IV: 763-766).
IEEE DOI Link
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Real-Time Tracking Using Wavelet Representation,
DAGM02(523 ff.).
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0303
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Takada, C.[Chika],
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PSIVT09(191-202).
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0901
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Sugaya, Y.[Yasuyuki],
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Extending Interrupted Feature Point Tracking for 3-D Affine
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ECCV04(Vol I: 310-321).
WWW Version.
0405
Deal with occlusions in tracking.
See also Optimizing a Triangular Mesh for Shape Reconstruction from Images.
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Wildenauer, H.,
Melzer, T.,
Bischof, H.,
A gradient-based eigenspace approach to dealing with occlusions and
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Incomplete motion feature tracking algorithm in video sequences,
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ICIP01(II: 65-68).
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0108
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Markers Elucidated and Applied in Local 3-Space,
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Resolving Visual Uncertainty and Occlusion through Probabilistic
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BMVC00(xx-yy).
PDF Version.
0009
BibRef
Sherrah, J.,
Gong, S.,
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
HTML Version.
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.
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Labit, C.,
Multiple Occluding Objects Tracking Using a Non-Redundant Boundary-Based
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ICIP97(II: 426-429).
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Mae, Y.S.[Yasu-Shi],
Shirai, Y.[Yoshiaki],
Tracking Moving Object in 3-D Space Based on Optical Flow and Edges,
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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.],
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Divided we fall: Resolving occlusions using causal reasoning,
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Springer DOI Link
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BibRef
Gordon, G.L.,
On the Tracking of Featureless Objects with Occlusion,
Motion89(13-20).
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Ward, M.O.,
Chien, Y.T.,
Occlusion Analysis in Time-Varying Imagery,
PRIP81(504-507).
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Thompson, W.B.,
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Occlusion-Sensitive Matching,
ICCV88(285-289).
IEEE Abstract. IEEE Top Reference.
BibRef
8800
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking Techniques, Particle Filter Techniques .