Efficient multi-camera vehicle detection, tracking, and identification in a tunnel surveillance application

Computer Vision and Image Understanding

Volumn 116, Issue 6, 2012, Pages 742-753

  Rios Cabrera, Reyes ^a   Tuytelaars, Tinne ^a   Van Gool, Luc ^a,b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b ETH ZURICH   (Switzerland)

Author keywords

AdaBoost; Multi camera tracking; Tunnel surveillance; Vehicle detection

Indexed keywords

COMPUTATIONAL LOADS; CONFIDENCE SCORE; DATA SETS; DECENTRALIZED ARCHITECTURE; IDENTIFICATION PROBLEM; IMAGING CONDITIONS; INTEGRATED SOLUTIONS; INTEGRATING INFORMATION; MULTI-CAMERA TRACKING; MULTI-CAMERAS; NON-OVERLAPPING CAMERAS; REAL-TIME OPERATION; SURVEILLANCE APPLICATIONS; SURVEILLANCE VIDEO; VEHICLE DETECTION;

ADAPTIVE BOOSTING; CAMERAS; MONITORING; SECURITY SYSTEMS; VEHICLES;

TRACKING (POSITION);

EID: 84858306797     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2012.02.006     Document Type: Article

References (31)

1. V. Kastrinaki, M. Zervakis, and K. Kalaitzakis A survey of video processing techniques for traffic applications Image and Vision Computing 21 4 2003 359 381
2. Alper Yilmaz, Omar Javed, and Mubarak Shah Object tracking: a survey ACM Computing Surveys (CSURs) 38 4 2006 p. 13-es
3. H. Grabner, C. Leistner, H. Bischof, Semi-supervised on-line boosting for robust tracking, in: ECCV, 2008.
4. S. Stalder, H. Grabner, L. Van Gool, Beyond semi-supervised tracking: tracking should be as simple as detection, but not simpler than recognition, in: IEEE ICCV, WS on On-line Learning for Computer Vision, 2009.
5. Jianyu Wang, Xilin Chen, and Wen Gao Online selecting discriminative tracking features using particle filter IEEE CVPR 2 2005 1037 1042
6. R. Rios Cabrera, T. Tuytelaars, L. Van Gool, Efficient multi-camera detection, tracking, and identification using a shared set of haar-features, in: Proceedings IEEE CVPR 2011, Colorado Springs, CO, USA, 21-23 June 2011.
7. Roman Pflugfelder, Horst Bischof, Gustavo Fernandez Dominguez, Michael Nolle, Helmut Schwabach, Influence of camera properties on image analysis in visual tunnel surveillance, in: Proceedings of the 8th International Conference on Intelligent Transportation Systems (ITSC), ITSS, IEEE Computer Society, September 2005.
8. Helmut Schwabach, Manfred Harrer, Walter Holzmann, Horst Bischof, Gustavo Fernandez Dominguez, Michael Nolle, Roman Pflugfelder, Bernhard Strobl, Andreas Tacke, Anton Waltl, Video based image analysis for tunnel safety - VITUS-1: a tunnel video surveillance and traffic control system, in: 12th World Congress on Intelligent Transport Systems, November 2005.
9. A. Torralba, K.P. Murphy, and W.T. Freeman Sharing visual features for multiclass and multiview object detection IEEE Transactions on Pattern Analysis and Machine Intelligence 29 5 2007 854 869
10. Sung Ju Hwang, Fei Sha, Kristen Grauman, Sharing features between objects and their attributes, in: Proceedings IEEE CVPR 2011, Colorado Springs, CO, USA, 21-23 June 2011.
11. Ruslan Salakhutdinov, Antonio Torralba, Josh Tenenbaum, Learning to share visual appearance for multiclass object detection, in: Proceedings IEEE CVPR 2011, Colorado Springs, CO, USA, 21-23 June 2011.
12. Quan Yuan, S. Sclaroff, Is a detector only good for detection? in: IEEE ICCV, 2009.
13. Alexandr Andoni, Piotr Indyk, Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions, in: FOCS, 2006, pp. 459-468.
14. A. Torralba, R. Fergus, Y. Weiss, Small codes and large image databases for recognition, in: Proceedings IEEE CVPR, 2008.
15. V. Jelaca, J. Nio, A. Frias, A. Pizurica, W. Philips, Real-time vehicle matching for multi-camera tunnel surveillance, in: Proceedings of the SPIE 2011, vol. 7871, San Francisco, 2011.
16. O. Hamdoun, F. Moutarde, B. Stanciulescu, B. Steux, Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences, in: Second ACM/IEEE international conference on distributed smart cameras, ICDSC, 2008.
17. Kai Jungling, Christoph Bodensteiner, Michael Arens, Person re-identification in multi-camera networks, in: Proceedings of workshop on camera networks and wide area scene analysis in CVPR2011, Colorado Springs, CO, USA, 21-23 June 2011
18. Kenji Okuma, Ali Taleghani, Nando De Freitas, James J. Little, David G. Lowe, A boosted particle filter: multitarget detection and tracking, ECCV, 2004.
19. P. Viola, M. Jones, Rapid object detection using a boosted cascade of simple features, in: Proceedings IEEE CVPR, 2001.
20. Freund Yoav, Robert E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, Journal of Computer and System Sciences (55) (1997).
21. L. Bourdev, J. Brandt, Robust object detection via soft cascade, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 236-243.
22. Chang Huang, Haizhou Ai, Bo Wu, Shihong Lao, Boosting nested cascade detector for multi-view face detection, in: 17th International Conference on Pattern Recognition, Cambridge, UK, 23-26 August 2004.
23. D. Lowe, Object recognition from local scale-invariant features, in: ICCV, 1999.
24. Bay Herbert, Ess Andreas, T. Tuytelaars, L. Van Gool, SURF: speeded up robust features, CVIU 110(3) (2008).
25. Liu Yang Distance Metric Learning: A Comprehensive Survey vol. 19 2006 Michigan State University
26. M. Everingham, L. Van Gool, C.K.I. Williams, J. Winn, A. Zisserman, The PASCAL Visual Object Classes Challenge, 2010 (VOC2010).
27. Zeisl Bernhard, Leistner Christian, Saffari Amir, Bischof Horst, Online semi-supervised multiple-instance boosting, in: Proceedings IEEE CVPR 2010, San Francisco CA.
28. Boris Babenko, Ming-Hsuan Yang, Serge Belongie, Visual tracking with online multiple instance learning, in: Proceedings IEEE CVPR 2009, Miami, Florida.
29. O. Barnich, M. Van Droogenbroeck, ViBe: a universal background subtraction algorithm for video sequences, IEEE Transactions on Image Processing 20(6) (2011) 1709-1724.
30. Sebastian Brutzer, Benjamin Hoferlin, Gunther Heidemann, Evaluation of background subtraction techniques for video surveillance, in: Proceedings IEEE CVPR 2011, Colorado Springs, CO, USA, 21-23 June 2011.
31. Vidit Jain, Erik Learned-Miller, Online domain adaptation of a pre-trained cascade of classifiers, in: CVPR, 2011.