Object segmentation and extraction are vital tasks in many issues of content-based video processing. A video object segmentation algorithm is proposed in this paper based on disparity analysis and threshold segmentation for stereoscopic sequences including overlapped multi-objects with global motion. An improved area-based method is firstly adopted for disparity estimation by accelerating the matching processing. Then

to segment different objects in the scene

iterative threshold segmentation and self-adaptive threshold segmentation are respectively performed on the images

and the objects are extracted at last. Experimental results show that the proposed algorithm is an effective object extraction method suitable for stereoscopic sequences with unitary global motion.