MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-19318-7_43
Reference18 articles.
1. Reddy, V., Sanderson, C., Sanin, A., Lovell, B.: Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking. In: Proc. Advanced Video and Signal Based Surveillance (AVSS), pp. 172–179 (2010)
2. Toyama, K., Krumm, J., Brumitt, B., Meyers, B.: Wallflower: Principles and practice of background maintenance. In: Proc. Int. Conf. Computer Vision (ICCV), vol. 1, pp. 255–261 (1999)
3. Kim, K., Chalidabhongse, T., Harwood, D., Davis, L.: Real-time foreground–background segmentation using codebook model. Real-Time Imaging 11, 172–185 (2005)
4. Maddalena, L., Petrosino, A.: A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications. IEEE Trans. Image Processing 17, 1168–1177 (2008)
5. Lecture Notes in Computer Science;H. Wang,2006
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