Retrieval System for Person Re-identification

Sławomir Bąk, François Brémond, Vasanth Bathrinarayanan, Alessandro Capra, Davide Giacalone, Giuseppe Messina, Antonio Buemi

2014

Abstract

This paper addresses the problem of person re-identification and its application to a real world scenario. We introduce a retrieval system that helps a human operator in browsing a video content. This system is designed for determining whether a given person of interest has already appeared over a network of cameras. In contrast to most of state of the art approaches we do not focus on searching the best strategy for feature matching between camera pairs, but we explore techniques that can perform relatively well in a whole network of cameras. This work is devoted to analyze current state of the art algorithms and technologies, which are currently available on the market. We examine whether current techniques may help a human operator in solving this challenging task. We evaluate our system on the publicly available dataset and demonstrate practical advantages of the proposed solutions.

References

  1. Bak, S., Charpiat, G., Corvee, E., Bremond, F., and Thonnat, M. (2012). Learning to match appearances by correlations in a covariance metric space. In ECCV.
  2. Bak, S., Corvee, E., Bremond, F., and Thonnat, M. (2011a). Boosted human re-identification using riemannian manifolds. Image and Vision Computing.
  3. Bak, S., Corvee, E., Bremond, F., and Thonnat, M. (2011b). Multiple-shot human re-identification by mean riemannian covariance grid. In AVSS.
  4. Bak, S., Kumar, F. R., and Bremond, F. (2014). Brownian descriptor: a Rich Meta-Feature for Appearance Matching. In WACV.
  5. Bazzani, L., Cristani, M., Perina, A., Farenzena, M., and Murino, V. (2010). Multiple-shot person reidentification by hpe signature. In ICPR, pages 1413- 1416.
  6. Bialkowski, A., Denman, S., Sridharan, S., Fookes, C., and Lucey, P. (2012). A database for person reidentification in multi-camera surveillance networks. In DICTA, pages 1-8.
  7. Cheng, D. S., Cristani, M., Stoppa, M., Bazzani, L., and Murino, V. (2011). Custom pictorial structures for reidentification. In BMVC, pages 68.1-68.11.
  8. Cucchiara, R., Grana, C., Neri, G., Piccardi, M., and Prati, A. (2001). The sakbot system for moving object detection and tracking. In Video-Based Surveillance Systems-Computer Vision and Distributed Processing, pages 145-157.
  9. Dalal, N. and Triggs, B. (2005). Histograms of oriented gradients for human detection. In CVPR, volume 1.
  10. Dikmen, M., Akbas, E., Huang, T. S., and Ahuja, N. (2010). Pedestrian recognition with a learned metric. In ACCV, pages 501-512.
  11. Ess, A., Leibe, B., and Van Gool, L. (2007). Depth and appearance for mobile scene analysis. In ICCV, pages 1-8.
  12. Farenzena, M., Bazzani, L., Perina, A., Murino, V., and Cristani, M. (2010). Person re-identification by symmetry-driven accumulation of local features. In CVPR.
  13. Felzenszwalb, P. F., Girshick, R. B., McAllester, D., and Ramanan, D. (2010). Object detection with discriminatively trained part based models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9):1627-1645.
  14. Gheissari, N., Sebastian, T. B., and Hartley, R. (2006). Person reidentification using spatiotemporal appearance. In CVPR, pages 1528-1535.
  15. Girshick, R. B., Felzenszwalb, P. F., and McAllester, D. Discriminatively trained deformable part models, release 5. http://people.cs.uchicago.edu/ rbg/latentrelease5/.
  16. Gray, D., Brennan, S., and Tao, H. (2007). Evaluating Appearance Models for Recognition, Reacquisition, and Tracking. PETS.
  17. Gray, D. and Tao, H. (2008). Viewpoint invariant pedestrian recognition with an ensemble of localized features. In ECCV, pages 262-275.
  18. Hirzer, M., Beleznai, C., Roth, P. M., and Bischof, H. (2011). Person re-identification by descriptive and discriminative classification. In SCIA, pages 91-102.
  19. Koestinger, M., Hirzer, M., Wohlhart, P., Roth, P. M., and Bischof, H. (2012). Large scale metric learning from equivalence constraints. In CVPR.
  20. Lin, Z. and S. Davis, L. (2010). Shape-based human detection and segmentation via hierarchical part-template matching. Transactions on Software Engineering, pages 604-622.
  21. Park, U., Jain, A., Kitahara, I., Kogure, K., and Hagita, N. (2006). Vise: Visual search engine using multiple networked cameras. In ICPR, pages 1204-1207.
  22. Prosser, B., Zheng, W.-S., Gong, S., and Xiang, T. (2010). Person re-identification by support vector ranking. In BMVC, pages 21.1-21.11.
  23. Tuzel, O., Porikli, F., and Meer, P. (2006). Region covariance: A fast descriptor for detection and classification. In ECCV, pages 589-600.
  24. Wang, X., Doretto, G., Sebastian, T., Rittscher, J., and Tu, P. (2007). Shape and appearance context modeling. In ICCV, pages 1-8.
  25. Wang, X., Han, T. X., and Yan, S. (2009). An HOG-LBP human detector with partial occlusion handling. In ICCV.
  26. Zheng, W.-S., Gong, S., and Xiang, T. (2009). Associating groups of people. In BMVC.
  27. Zheng, W.-S., Gong, S., and Xiang, T. (2011). Person reidentification by probabilistic relative distance comparison. In CVPR.
Download


Paper Citation


in Harvard Style

Bąk S., Brémond F., Bathrinarayanan V., Capra A., Giacalone D., Messina G. and Buemi A. (2014). Retrieval System for Person Re-identification . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: PANORAMA, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 732-738. DOI: 10.5220/0004871807320738


in Bibtex Style

@conference{panorama14,
author={Sławomir Bąk and François Brémond and Vasanth Bathrinarayanan and Alessandro Capra and Davide Giacalone and Giuseppe Messina and Antonio Buemi},
title={Retrieval System for Person Re-identification},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: PANORAMA, (VISIGRAPP 2014)},
year={2014},
pages={732-738},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004871807320738},
isbn={978-989-758-004-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: PANORAMA, (VISIGRAPP 2014)
TI - Retrieval System for Person Re-identification
SN - 978-989-758-004-8
AU - Bąk S.
AU - Brémond F.
AU - Bathrinarayanan V.
AU - Capra A.
AU - Giacalone D.
AU - Messina G.
AU - Buemi A.
PY - 2014
SP - 732
EP - 738
DO - 10.5220/0004871807320738