Robust Descriptors Fusion for Pedestrians’ Re-identification and Tracking Across a Camera Network

Ahmed Derbel, Yousra Ben Jemaa, Sylvie Treuillet, Bruno Emile, Raphael Canals, Abdelmajid Ben Hamadou

2013

Abstract

In this paper, we introduce a new approach to identify people in multi-camera based on AdaBoost descriptors cascade. Given the complexity of this task, we propose a new regional color feature vector based on intra and inter color histograms fusion to characterize a person in multi-camera. This descriptor is then integrated into an extensive comparative study with several existing color, texture and shape feature vectors in order to choose the best ones. We prove through a comparative study with the main existing approaches on the VIPeR dataset and using Cumulative Matching Characteristic measurement that the proposed approach is very suitable to identify a person and provides very satisfactory performances.

References

  1. Alahi, A., Vandergheynst, P., and Bierlaire, M. (2010). Cascade of descriptors to detect and track objects across any network of cameras. Computer Vision and Image Understanding, 114(6):624-640.
  2. Cai, Y., Huang, K., and Tan, T. (2008). Matching tracking sequences across widely separated cameras. International Conference on Image Processing, pages 765- 768.
  3. Derbel, A., Ben Jemaa, Y., Canals, R., Emile, B., Treuillet, S., and Ben Hamadou, A. (2012). Comparative study between color texture and shape descriptors for multicamera pedestrians identification. IEEE International Conference on Image Processing Theory Tools and Applications, pages 313-318.
  4. Fleuret, F., Berclaz, J., Lengagne, R., and Fua, P. (2008). Multi-camera people tracking with a probabilistic occupancy map. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(2):267-282.
  5. Freund, Y., Iyer, R., Schapire, R. E., and Singer, Y. (2003). An efficient boosting algorithm for combining preferences. Journal ofMachine Learning Research, 4:933- 969.
  6. Gilbert, A. and Bowden, R. (2006). Tracking objects across cameras by incrementally learning intercamera colour calibration and patterns of activity. European Conference on Computer Vision, pages 125- 136.
  7. Gray, D. and Tao, H. (2008). Viewpoint invariant pedestrian recognition with an ensemble of localized features. European Conference on Computer Vision, pages 262-275.
  8. Nam, Y., Ryu, J., Choi, Y., and Cho, W. (2007). Learning spatio-temporal topology of a multi-camera network by tracking multiple people. World Academy of Science Engineering and Technology, 24:175-180.
  9. Prosser, B., Zheng, W. S., Gong, S., and Xiang, T. (2010). Person re-identification by support vector ranking. British Machine Vision Conference, pages 1-11.
  10. Sharma, P. K., Huang, C., and Nevatia, R. (2009). Evaluation of people tracking, counting and density estimation in crowded environments. IEEE Int'l Workshop Perf. Eval. of Tracking and Surveillance, pages 39-46.
  11. Truong Cong, D. N., Meurie, C., Khoudour, L., Achard, C., and Lezoray, O. (2010). People re-identification by spectral classification of silhouettes. Signal Processing, 90(8):2362-2374.
  12. Tung, T. and Matsuyama, T. (2008). Human motion tracking using a color-based particle filter driven by optical flow. InternationalWorkshop on Machine Learning for Vision-based Motion Analysis.
  13. Yang, C., Duraiswami, R., and Davis, L. (2005). Fast multiple object tracking via a hierarchical particle filter. IEEE International Conference on Computer Vision, pages 212-219.
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Paper Citation


in Harvard Style

Derbel A., Jemaa Y., Treuillet S., Emile B., Canals R. and Ben Hamadou A. (2013). Robust Descriptors Fusion for Pedestrians’ Re-identification and Tracking Across a Camera Network . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 92-97. DOI: 10.5220/0004275500920097


in Bibtex Style

@conference{visapp13,
author={Ahmed Derbel and Yousra Ben Jemaa and Sylvie Treuillet and Bruno Emile and Raphael Canals and Abdelmajid Ben Hamadou},
title={Robust Descriptors Fusion for Pedestrians’ Re-identification and Tracking Across a Camera Network},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={92-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004275500920097},
isbn={978-989-8565-48-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Robust Descriptors Fusion for Pedestrians’ Re-identification and Tracking Across a Camera Network
SN - 978-989-8565-48-8
AU - Derbel A.
AU - Jemaa Y.
AU - Treuillet S.
AU - Emile B.
AU - Canals R.
AU - Ben Hamadou A.
PY - 2013
SP - 92
EP - 97
DO - 10.5220/0004275500920097