Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph-Reference-Cited by-同舟云学术

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Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph

Published:2016-09-06 Issue:2 Volume:122 Page:313-333
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Wen Longyin,Lei Zhen,Chang Ming-Ching,Qi Honggang,Lyu Siwei

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s11263-016-0943-0.pdf

Reference53 articles.

1. Andriyenko, A., & Schindler, K. (2011). Multi-target tracking by continuous energy minimization. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (pp. 1265–1272).

2. Andriyenko, A., Schindler, K., & Roth, S. (2012). Discrete-continuous optimization for multi-target tracking. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (pp. 1926–1933).

3. Attanasi, A., Cavagna, A., Castello, L. D., Giardina, I., Jelic, A., Melillo, S., et al. (2015). GReTA—a novel global and recursive tracking algorithm in three dimensions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(1), 1.

4. Berclaz, J., Fleuret, F., & Fua, P. (2009). Multiple object tracking using flow linear programming. In Winter-PETS (pp. 1–8). Snowbird: IEEE.

5. Berclaz, J., Fleuret, F., Türetken, E., & Fua, P. (2011). Multiple object tracking using k-shortest paths optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(9), 1806–1819.

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