Object segmentation based on disparity estimation

Authors:
Qian Zhang;Suxing Liu;Ping An;Zhaoyang Zhang
Affiliations:
School of Communication and Information Engineering, shanghai, China;School of Communication and Information Engineering, shanghai, China;School of Communication and Information Engineering, shanghai, China;School of Communication and Information Engineering, shanghai, China
Venue:
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Year:
2009

Citing 3
Cited 0

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Abstract

Object segmentation plays an important role in multi-view video analysis. In this paper, we present a new object segmentation method for multi-view video in which only the disparity is used for segmentation and the motion estimation is neglected. Firstly, a modified locally adaptive support-weight approach is proposed for disparity estimation. Then, segmentation is realized by mean-shift algorithm. The experimental results show that proposed method could segment the semantically meaningful objects from complex background with high precision.