Generalized Stauffer–Grimson background subtraction for dynamic scenes

Author:

Chan Antoni B.,Mahadevan Vijay,Vasconcelos Nuno

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference28 articles.

1. Sheikh Y., Shah M.: Bayesian modeling of dynamic scenes for object detection. IEEE Trans. PAMI 27(11), 1778–1792 (2005)

2. Stauffer, C., Grimson, W.: Adaptive background mixture models for real-time tracking. In: CVPR, pp. 246–52 (1999)

3. Doretto G., Chiuso A., Wu Y.N., Soatto S.: Dynamic textures. Int. J. Comp. Vis. 51(2), 91–109 (2003)

4. Saisan, P., Doretto, G., Wu, Y., Soatto, S.: Dynamic texture recognition. In: IEEE Conference Computer Vision and Pattern Recognition, vol. 2, pp. 58–63 (2001)

5. Chan, A.B., Vasconcelos, N.: Probabilistic kernels for the classification of auto-regressive visual processes. In: IEEE Conference Computer Vision and Pattern Recognition, vol. 1, pp. 846–851 (2005)

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