Disparity estimation based 3-D video object segmentation

Stereo video object segmentation is a critical technology of the new generation of video coding, video retrieval and other emerging interactive multimedia field. Determinations of distinctive depth of a frame features have become more and more popular in everyday life for automation industries like machine vision and computer vision technologies. This paper deals with the evaluation of the depth cues through dense of two frame stereo correspondence method. Experimental results show that the method can segment the stationary and moving objects both with better accuracy and robustness. The contributions are gaining higher accuracy in matching and reducing time of convergence.