Light-weight salient foreground detection for embedded smart cameras

Author:

Casares Mauricio,Velipasalar Senem,Pinto Alvaro

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference31 articles.

1. C.H. Anderson, P.J. Burt, G.S.V.D. Wal, Change detection and tracking using pyramid transform techniques, in: Proceedings of SPIE Intelligent Robots and Computer Vision, vol. 579, Cambridge, MA, September 16–20, 1985, pp. 72–78.

2. S. Bhandarkar, X. Luo, Fast and robust background updating for real-time traffic surveillance and monitoring, in: Proceedings of the IEEE Workshop on Machine Vision for Intelligent Vehicles, June 2005, p. 55.

3. M. Casares, S. Velipasalar, Light-weight salient foreground detection for embedded smart cameras, in: Proceedings of the ACM/IEEE International Conference on Distributed Smart Cameras, 2008, pp. 1–7.

4. M. Casares, S. Velipasalar, Light-weight salient foreground detection with adaptive memory requirement, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2009, pp. 1245–1248.

5. T.H. Chalidabhongse, K. Kim, D. Harwood, L. Davis, A perturbation method for evaluating background subtraction algorithms, in: Proceedings of the Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, in conjunction with ICCV, October 2003.

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