A novel approach to motion segmentation based on gamma distribution

作者：Jung, Cheolkon^*; Jiao, L. C.; Gong, Maoguo

来源：AEU-International Journal of Electronics and Communications, 2012, 66(3): 235-238.

DOI：10.1016/j.aeue.2011.07.006

• Gamma distribution
• Motion segmentation
• Motion estimation
• Optical flow

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.

• 出版日期2012
• 单位西安电子科技大学