A Method for Counting Moving People in Video Surveillance Videos

Author:

Conte Donatello,Foggia Pasquale,Percannella Gennaro,Tufano Francesco,Vento Mario

Publisher

Springer Science and Business Media LLC

Reference14 articles.

1. Rittscher J, Tu PH, Krahnstoever N: Simultaneous estimation of segmentation and shape. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '05), June 2005 486-493.

2. Brostow GJ, Cipolla R: Unsupervised bayesian detection of independent motion in crowds. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '06), June 2006 594-601.

3. Zhao T, Nevatia R, Wu B: Segmentation and tracking of multiple humans in crowded environments. IEEE Transactions on Pattern Analysis and Machine Intelligence 2008, 30(7):1198-1211.

4. Cho S-Y, Chow TWS, Leung C-T: A neural-based crowd estimation by hybrid global learning algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part B 1999, 29(4):535-541. 10.1109/3477.775269

5. Kong D, Gray D, Tao H: A viewpoint invariant approach for crowd counting. Proceedings of the 18th International Conference on Pattern Recognition (ICPR '06), August 2006 1187-1190.

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