A Probabilistic Background Model for Tracking-Reference-Cited by-同舟云学术

A Probabilistic Background Model for Tracking

Published:2000 Issue: Volume: Page:336-350
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Rittscher J.,Kato J.,Joga S.,Blake A.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45053-X_22

Reference21 articles.

1. J. Besag. Spatial interaction and the statistical analysis of lattice systems. J. R. Statist. Soc. B, 36:192–236, 1974.

2. D. Beymer, P. McLauchlan, B. Coifman, and J. Malik. A real-time computer vision system for measuring traffic pramameters. In IEEE Conf. Computer Vision and Pattern Recognition, June 1997, Puerto Rico, 1997.

3. F. Divino, A. Frigessi, and P. J. Green. Penalized pseudolikelihood inference in spatial interaction models with covariates. Scandinavian Journal of Statistics (to appear), 1998.

4. N. Ferrier, S. Rowe, and A. Blake. Real-time traffic monitoring. InProc. 2nd IEEE Workshop on Applications of Computer Vision, pages 81–88, 1994.

5. S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. PAMI, 6:721–741, 1984.

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