16.7.2.4 Surveillance of Vehicles and Occupants

Mayeaux, P.H.[Paul H.], Stamps, V.O.[Virgil O.],
Traffic surveillance system,
US_Patent5,161,107, 11/03/1992
HTML Version. Not much to it. Monitor zones in image. BibRef 9211

Huang, T.[Timothy], Russell, S.[Stuart],
Object identification: A Bayesian analysis with application to traffic surveillance,
AI(103), No. 1-2, August 1998, pp. 77-93.
WWW Version. The task of deciding that two objects are really the same object. Define an identity criterion and an appearance probability. Recognize cars in widely spaced cameras. BibRef 9808

Koller, D., Weber, J., Huang, T.S., Malik, J., Ogasawara, G., Rao, B., Russell, S.,
Towards Robust Automatic Traffic Scene Analysis in Real-Time,
ICPR94(A:126-131).
IEEE DOI Link BibRef 9400

Aste, M., Rossi, M., Cattoni, R., Caprile, B.,
Visual Routines for Real Time Monitoring of Vehicle Behavior,
MVA(11), No. 1, 1998, pp. 16-23.
HTML Version. 9808
BibRef

Burlina, P., Chellappa, R.,
Temporal Analysis of Motion in Video Sequences Through Predictive Operators,
IJCV(28), No. 2, June-July 1998, pp. 175-192.
WWW Version. 9808
BibRef

Burlina, P., Chellappa, R., Lin, C.L.,
A Spectral Attentional Mechanism Tuned to Object Configurations,
IP(6), No. 8, August 1997, pp. 1117-1128.
IEEE DOI Link 9708
See also Adaptive Target Detection in Foliage-Penetrating SAR Images Using Alpha-Stable Models. BibRef

Chellappa, R., Burlina, P., Zheng, Q., Shekhar, C., Davis, L.S.,
Temporal Analysis of Vehicular Activities from SAR/EO,
DARPA97(415-424). BibRef 9700

Chellappa, R.[Rama], Burlina, P.[Phillipe], Davis, L.S.[Larry S.], Rosenfeld, A.[Azriel],
SAR/EO Vehicular Activity Analysis System Guided by Temporal and Contextual Information,
DARPA98(615-620). BibRef 9800

Burlina, P.[Philippe], Lin, B.[Bruce], Chellappa, R.[Rama],
On a Spectral Attentional Mechanism,
CVPR96(120-127).
IEEE Abstract. IEEE Top Reference.
WWW Version. Find areas with vehicles, using spectral computations. BibRef 9600

Tunali, G.D.[Gamze D.], Chellappa, R.[Rama], Burlina, P.[Philippe],
Following and Monitoring Roads on Airborne Video,
UMD--TR3990, February 1999.
WWW Version.
WWW Version. BibRef 9902

Cetintemel, G.D., Burlina, P.,
On-the-fly snake construction from video,
ICIP98(III: 638-642).
IEEE DOI Link 9810
BibRef

Burlina, P., Cetintemel, G.D.,
On-the-Fly Road Tracking from video,
DARPA98(223-227). Snakes BibRef 9800

Davis, L.S.[Larry S.], Challappa, R.[Rama], Rosenfeld, A.[Azriel], Harwood, D.[David], Haritaoglu, I.[Ismail], Cutler, R.[Ross],
Visual Surveillance and Monitoring,
DARPA98(73-76). BibRef 9800

Chellappa, R., Burlina, P., Phillips, W., Cetintemel, G.D., Shekhar, C., Parameswaran, V., Davis, L.S., and Rosenfeld, A.,
Context-based Analysis and Reasoning on Vehicular Activities in SAR-EO Imagery,
UMD-- F33615, February 1998. Tracking and understanding of vehicular activity from intermittent observations.
Postscript Version. BibRef 9802

Ellis, R.D., Meitzler, T.J., Witus, G., Sohn, E., Bryk, D., Goetz, R., Gerhart, G.R.,
Computational Modeling of Age-Differences in a Visually Demanding Driving Task: Vehicle Detection,
SMC-A(30), No. 3, May 2000, pp. 336-346.
IEEE Top Reference. 0006
Human performance. BibRef

Kamijo, S., Matsushita, Y., Ikeuchi, K., Sakauchi, M.,
Traffic monitoring and accident detection at intersections,
ITS(1), No. 2, June 2000, pp. 108-118.
IEEE Abstract. IEEE Top Reference. 0402
BibRef

Pavlidis, I., Morellas, V., Papanikolopoulos, N.P.,
A vehicle occupant counting system based on near-infrared phenomenology and fuzzy neural classification,
ITS(1), No. 2, June 2000, pp. 72-85.
IEEE Abstract. IEEE Top Reference. 0402
BibRef

Pavlidis, I., Symosek, P., Fritz, B., Bazakos, M., Papanikolopoulos, N.P.,
Automatic detection of vehicle occupants: The Imaging Problem and its solution,
MVA(11), No. 6, 2000, pp. 313-320.
HTML Version. 0005
BibRef

Pavlidis, I., Symosek, P., Fritz, B., Papanikolopoulos, N.P.,
A Near-Infrared Fusion Scheme for Automatic Detection of Vehicle Passengers,
CVBVS99(41).
IEEE DOI Link BibRef 9900

Masoud, O.T., Papanikolopoulos, N.P., Kwon, E.,
The use of computer vision in monitoring weaving sections,
ITS(2), No. 1, March 2001, pp. 18-25.
IEEE Abstract. IEEE Top Reference. 0402
BibRef

Veeraraghavan, H., Masoud, O.T., Papanikolopoulos, N.P.,
Computer vision algorithms for intersection monitoring,
ITS(4), No. 2, June 2003, pp. 78-89.
IEEE Abstract. IEEE Top Reference. 0402
BibRef

Atev, S., Arumugam, H., Masoud, O.T., Janardan, R., Papanikolopoulos, N.P.,
A vision-based approach to collision prediction at traffic intersections,
ITS(6), No. 4, December 2005, pp. 416-423.
IEEE DOI Link 0601
BibRef

Ferryman, J.M.[James M.], Maybank, S.J.[Stephen J.], Worrall, A.D.[Anthony D.],
Visual Surveillance for Moving Vehicles,
IJCV(37), No. 2, June 2000, pp. 187-197.
WWW Version. 0008
BibRef
Earlier: VS98(Monitoring and Surveillance of Traffic Scenes). BibRef

Morris, R.J., Hogg, D.C.,
Statistical Models of Object Interaction,
IJCV(37), No. 2, June 2000, pp. 209-215.
WWW Version. 0008
BibRef
Earlier: VS98(Monitoring and Surveillance of Traffic Scenes). BibRef

Shekhar, C.[Chandra], and Chellappa, R.[Rama],
Airborne Video Registration for Activity Monitoring,
VideoRegister03(Chapter 6). BibRef 0300

Jung, Y.K.[Young-Kee], Lee, K.W.[Kyu-Won], Ho, Y.S.[Yo-Sung],
Content-based event retrieval using semantic scene interpretation for automated traffic surveillance,
ITS(2), No. 3, September 2001, pp. 151-163.
IEEE Abstract. IEEE Top Reference. 0402
BibRef

Manolakis, D.E.,
Comment on 'Content-Based Event Retrieval Using Semantic Scene Interpretation for Automated Traffic Surveillance',
ITS(5), No. 3, September 2004, pp. 219-219.
IEEE Abstract. IEEE Top Reference. 0501
See also Content-based event retrieval using semantic scene interpretation for automated traffic surveillance. BibRef

Srinivasan, D., Jin, X.[Xin], Cheu, R.L.,
Evaluation of adaptive neural network models for freeway incident detection,
ITS(5), No. 1, March 2004, pp. 1-11.
IEEE Abstract. IEEE Top Reference. 0501
BibRef

Tang, S., Gao, H.,
Traffic-Incident Detection-Algorithm Based on Nonparametric Regression,
ITS(6), No. 1, March 2005, pp. 38-42.
IEEE Abstract. IEEE Top Reference. 0501
BibRef

Diamantopoulos, G.[Georgios], Spann, M.[Michael],
Event detection for intelligent car park video surveillance,
RealTimeImg(11), No. 3, June 2005, pp. 233-243.
WWW Version. 0508
BibRef

Oh, C.[Cheol], Ritchie, S.G.[Stephen G.],
Recognizing vehicle classification information from blade sensor signature,
PRL(28), No. 9, 1 July 2007, pp. 1041-1049.
WWW Version. 0704
Probabilistic neural network; Vehicle classification; Traffic surveillance BibRef

Takagi, A.[Akira], Imanishi, M.[Masayuki], Goto, T.[Tomoyuki], Sato, H.[Hironori],
Apparatus for protecting occupant in vehicle,
US_Patent7,139,410, Nov 21, 2006
WWW Version. BibRef 0611

Micheloni, C.[Christian], Snidaro, L.[Lauro], Foresti, G.L.[Gian Luca],
Exploiting Temporal Statistics for Events Analysis and Understanding,
IVC(27), No. 10, 2 September 2009, pp. 1459-1469.
Elsevier DOI Link
WWW Version. 0906
BibRef
And: Add A3: Piciarelli, C.[Claudio], CIAP07(530-535).
IEEE DOI Link 0709
BibRef
Earlier: A3, A1, A2:
Event classification for automatic visual-based surveillance of parking lots,
ICPR04(III: 314-317).
IEEE DOI Link 0409
Apply to parking lots. Event analysis; Event understanding; Video surveillance; Security BibRef

Denman, S., Fookes, C., Cook, J.A., Davoren, C., Mamic, A., Farquharson, G., Chen, D., Chen, B., Sridharan, S.,
Multi-view Intelligent Vehicle Surveillance System,
AVSBS06(26-26).
IEEE DOI Link 0611
BibRef

Denman, S.[Simon], Chandran, V.[Vinod], Sridharan, S.[Sridha], Fookes, C.,
A Multi-Class Tracker Using a Scalable Condensation Filter,
AVSBS06(25-25).
IEEE DOI Link 0611
BibRef

Kennedy, K.R.[Karl R.], Nathan, J.F.[John F.], Shridhar, M.,
An LVQ-based Automotive Occupant Classification System,
ICPR06(II: 662-665).
WWW Version. 0609
BibRef

Teshima, T.[Tomoaki], Saito, H.[Hideo], Ozawa, S.[Shinji], Yamamoto, K.[Keiichi], Ihara, T.[Toru],
Vehicle Lateral Position Estimation Method Based on Matching of Top-View Images,
ICPR06(IV: 626-629).
WWW Version. 0609
BibRef

Niu, C.[Chaowei], Grimson, W.E.L.[W. Eric L.],
Recovering Non-overlapping Network Topology Using Far-field Vehicle Tracking Data,
ICPR06(IV: 944-949).
WWW Version. 0609
BibRef

Li, L.[Li], Wang, F.Y.[Fei-Yue],
Approximate Vehicle Waiting Time Estimation Using Adaptive Video-Based Vehicle Tracking,
IWICPAS06(105-114).
Springer DOI Link 0608
BibRef

Tan, R.[Rui], Huo, H.[Hong], Qian, J.[Jin], Fang, T.[Tao],
Traffic Video Segmentation Using Adaptive-K Gaussian Mixture Model,
IWICPAS06(125-134).
Springer DOI Link 0608
BibRef

Liu, H.[Hong], Li, J.T.[Jin-Tao], Qian, Y.L.[Yue-Liang], Lin, S.X.[Shou-Xun], Liu, Q.[Qun],
Motion and Gray Based Automatic Road Segment Method MGARS in Urban Traffic Surveillance,
IWICPAS06(85-94).
Springer DOI Link 0608
BibRef

Saunier, N., Sayed, T.,
A feature-based tracking algorithm for vehicles in intersections,
CRV06(59-59).
IEEE DOI Link 0607
BibRef

Goktuk, S.B., Rafii, A.,
An Occupant Classification System Eigen Shapes or Knowledge-Based Features,
MVIV05(III: 57-57).
IEEE DOI Link 0507
BibRef

Hosotani, D.[Daisuke], Yoda, I.[Ikushi], Sakaue, K.[Katsuhiko],
Development and Long-Term Verification of Stereo Vision Sensor System for Controlling Safety at Railroad Crossing,
CVS09(154-163).
Springer DOI Link 0910
BibRef

Yoda, I.[Ikushi], Sakaue, K.[Katsuhiko], Hosotani, D.[Daisuke],
Multi-point Stereo Camera System for Controlling Safety at Railroad Crossings,
CVS06(51).
IEEE DOI Link 0602
BibRef

Fujiyoshi, H.[Hironobu], Komura, T.[Takeshi], Eguchi, I.[Ikuko], Kayama, K.[Kentaro],
Road Observation and Information Providing System for Supporting Mobility of Pedestrian,
CVS06(37).
IEEE DOI Link 0602
BibRef

Li, X.K.[Xiao-Kun], Porikli, F.M.,
A hidden markov model framework for traffic event detection using video features,
ICIP04(V: 2901-2904).
IEEE DOI Link 0505
BibRef

Porikli, F.M.[Fatih M.], Haga, T.[Tetsuji],
Event Detection by Eigenvector Decomposition Using Object and Frame Features,
EventVideo04(114).
HTML Version. 0502
BibRef

Chan, C.Y.[Ching-Yao], Marco, D., Misener, J.,
Threat assessment of traffic moving toward a controlled intersection,
IVS04(931-936).
IEEE Abstract. IEEE Top Reference. 0411
BibRef

Yoon, J.J., Ellis, T.J.,
Real-time occupant detection system in an active illumination,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Kong, H.[Henry], Sun, Q.[Qin], Bauson, W.A.[William A.], Kiselewich, S.J.[Stephen J.], Ainslie, P.[Paul], Hammoud, R.I.[Riad I.],
Disparity Based Image Segmentation for Occupant Classification,
OTCBVS04(126).
HTML Version. 0502
BibRef

Wender, S., Loehlein, O.,
A cascade detector approach applied to vehicle occupant monitoring with an omni-directional camera,
IVS04(345-350).
IEEE Abstract. IEEE Top Reference. 0411
BibRef

Leitão, A.P., Tilie, S., Ieng, S.S., Vigneron, V.,
Detecting and Classifying Road Turn Directions from a Sequence of Images,
CAIP03(555-562).
WWW Version. 0311
BibRef

Lim, D.W.[Dae-Woon], Choi, S.H.[Sung-Hoon], Jun, J.S.[Joon-Suk],
Automated detection of all kinds of violations at a street intersection using real time individual vehicle tracking,
Southwest02(126-129).
IEEE Top Reference. 0208
BibRef

Eikvil, L.[Line], Huseby, R.B.[Ragnar Bang],
Traffic Surveillance in Real-time using Hidden Markov Models,
SCIA01(O-Tu3B). 0206
BibRef

Sacchi, C., Regazzoni, C.S., Gera, G., Foresti, G.L.,
Use of Neural Networks for Behaviour Understanding in Railway Transport Monitoring Applications,
ICIP01(I: 541-544).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Lai, A.H.S., Yung, N.H.C.,
A Video-based System Methodology for Detecting Red Light Runners,
MVA98(xx-yy). BibRef 9800

Bremond, F.[Francois], and Medioni, G.[Gerard],
Scenario Recognition in Airborne Video Imagery,
DARPA98(211-216). BibRef 9800 USC Computer Vision BibRef
And: Motion98(xx).
Postscript Version. BibRef

Zingirian, N., Baglietto, P., Maresca, M., Migliardi, M.,
Customizing MPEG video compression algorithms to specific application domains: The case of highway monitoring,
CIAP97(II: 46-53).
WWW Version. 9709
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Driver Monitoring, Eyes, Gaze .