A method of motion segmentation based on region shrinking

Authors:
Zhihui Li;Fenggang Huang;Yongmei Liu
Affiliations:
School of Computer Science and Technology, Harbin Engineering University, Harbin, China;School of Computer Science and Technology, Harbin Engineering University, Harbin, China;School of Computer Science and Technology, Harbin Engineering University, Harbin, China
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

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Abstract

Motion segmentation needs to estimate the parameters of motion and its supporting region. The usual problem in determining the supporting region is how to obtain a complete spatial consistence. On the basis of maximum posterior marginal probability (MPM-MAP) algorithm this paper presents a new algorithm based on region shrinking to locate the supporting area. First the motion parameters are estimated by MPM-MAP algorithm. In this algorithm pixels of maximum probabilities belonging to a motion are considered to be preselected pixels for supporting area. Then the region shrinking algorithm is used to determine the region of maximum density of the preselected pixels to be the range of supporting area. Finally the active contour based on gradient vector flow (GVF) is adopted to obtain the accurate shape of supporting region. This method obtains a solid region to be supporting area of a motion and extracts the accurate shape of moving objects, so it offers a better way in motion segmentation to solve the problem of spatial continuity.