Graph spectral motion segmentation based on motion vanishing point analysis

Motion segmentation relies on identifying coherent relationships between image pixels that are associated with motion vectors. However, perspective differences can often deteriorate the performance of conventional techniques. In this paper, we develop a motion segmentation scheme that utilizes the motion map of a single frame to identify motion representations based on motion vanishing points. Segmentation is achieved using graph spectral clustering where a novel graph is constructed using the motion representation distances in the motion vanishing point image associated with the image pixels. Experimental results show that the proposed graph spectral motion segmentation algorithm outperforms state-of-the-art methods for dense segmentation on image sequences with strong perspective effects using motion vectors between only two images. 2015 IEEE International Workshop on Multimedia Signal Processing (MMSP) This work may not be copied or reproduced in whole or in part for any commerci...

• Type: Journal
• Year: 2015
• Where: MMSP
• Authors: Dong Tian, Jiun-Yu Kao, Hassan Mansour, Anthony Vetro
• Keywords: MMSP 2015, Multimedia