Motion objects segmentation using a new level set based method

Authors:
Hongqiang Bao;Zhaoyang Zhang
Affiliations:
School of Communication and Information Engineering, Shanghai University, Shanghai, China;Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2004

Citing 6
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Abstract

Segmentation of moving object in a video sequence is one of the difficult problems in video processing. Moreover, multiple objects segmenting and extracting is more challenging task due to the complexity of multiple motion. This paper presents a novel multiple object segmentation approach based on spatial-temporal curve evolution. First, According to the characteristic of the intra-frame and inter-frame (spatial and temporal) information, a joint energy model is proposed with global and local features, thus, a curve evolution equation could be achieved based on the method of level set. Then, after an initial object model is achieved with a simplified method using the difference between two successive frames, multiple object are tracked and extracted with spatio-temporal curve evolution. Finally, while the occlusion is emerged due to multiple object overlapping motion, the covered/uncovered object could be segmented using motion field template matching. The experiment results show that the approach is effective.