Journal
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
Volume 66, Issue 3, Pages 235-238Publisher
ELSEVIER GMBH
DOI: 10.1016/j.aeue.2011.07.006
Keywords
Gamma distribution; Motion segmentation; Motion estimation; Optical flow
Funding
- National Natural Science Foundation of China [61050110144, 61072106, 60803097, 60972148, 60971128, 60970066, 61003198, 61001206]
- National Research Foundation of China [200807010003]
- National Science and Technology Ministry of China [9140A07011810DZ0107, 9140A07021010DZ0131]
- Fund for Foreign Scholars in University Research and Teaching Programs (the 111 Project) [B07048]
- Fundamental Research Funds for the Central Universities [JY10000902001, K50510020001, JY10000902045]
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We provide a new motion segmentation method in image sequences based on gamma distribution. Motion segmentation is very important because it can be employed for video surveillance, object tracking, and action recognition. The Gaussian mixture model (GMM) has been widely used as a distribution model for motion segmentation. However, we found that the gamma distribution model is more suitable than the GMM for the optical flow based motion segmentation. Experimental results show that the proposed method is very effective in producing accurate motion segmentation results in image sequences. (C) 2011 Elsevier GmbH. All rights reserved.
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