Tracking in a Dense Crowd Using Multiple Cameras
Author:
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/s11263-009-0307-0.pdf
Reference40 articles.
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2. Arsic, D., Hristov, E., Lehment, N., Hornler, B., Schuller, B., & Rigoll, G. (2008). Applying multi layer homography for multi camera person tracking. In International conference on distributed smart cameras.
3. Brostow, G. J., & Cipolla, R. (2006). Unsupervised Bayesian detection of independent motion in crowds. In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) (pp. 594–601).
4. Cai, Q., & Aggarwal, J. K. (1999). Tracking human motion in structured environments using a distributed-camera system. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(11), 1241–1247.
5. Cheung, G. K. M., Kanade, T., Bouguet, J. Y., & Holler, M. (2000). A real time system for robust 3D voxel reconstruction of human motions. In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) (pp. 714–720).
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