? Prior-Free Dependent Motion Segmentation Using Helmholtz-Hodge Decomposition Based Object-Motion Oriented Map
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Journal of Computer Science and Technology 2017, Vol. 32 Issue (3) :520-535    DOI: 10.1007/s11390-017-1741-z
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Prior-Free Dependent Motion Segmentation Using Helmholtz-Hodge Decomposition Based Object-Motion Oriented Map
Cui-Cui Zhang1, Zhi-Lei Liu2,*, Member, CCF
1. School of Marine Science and Technology, Tianjin University, Tianjin 300072, China;
2. Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology Tianjin University, Tianjin 300072, China

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Abstract Motion segmentation in moving camera videos is a very challenging task because of the motion dependence between the camera and moving objects. Camera motion compensation is recognized as an effective approach. However, existing work depends on prior-knowledge on the camera motion and scene structure for model selection. This is not always available in practice. Moreover, the image plane motion suffers from depth variations, which leads to depth-dependent motion segmentation in 3D scenes. To solve these problems, this paper develops a prior-free dependent motion segmentation algorithm by introducing a modified Helmholtz-Hodge decomposition (HHD) based object-motion oriented map (OOM). By decomposing the image motion (optical flow) into a curl-free and a divergence-free component, all kinds of camera-induced image motions can be represented by these two components in an invariant way. HHD identifies the camera-induced image motion as one segment irrespective of depth variations with the help of OOM. To segment object motions from the scene, we deploy a novel spatio-temporal constrained quadtree labeling. Extensive experimental results on benchmarks demonstrate that our method improves the performance of the state-of-the-art by 10%~20% even over challenging scenes with complex background.
Articles by authors
Cui-Cui Zhang
Zhi-Lei Liu
Keywordsprior-free dependent motion segmentation   Helmholtz-Hodge decomposition(HHD)   object-motion oriented map(OOM)   quadtree labeling     
Received 2017-01-19;
Fund:

This work is supported by the National Natural Science Foundation of China under Grant No. 61503277.

Corresponding Authors: Zhi-Lei Liu     Email: zhileiliu@tju.edu.cn
About author: Cui-Cui Zhang received her Ph.D. degree in computer science from the Kyoto University, Kyoto, in 2015. She is currently an assistant professor in the School of Marine Science and Technology, Tianjin University, Tianjin. Her research interests are computer graphics and visualization.
Cite this article:   
Cui-Cui Zhang, Zhi-Lei Liu.Prior-Free Dependent Motion Segmentation Using Helmholtz-Hodge Decomposition Based Object-Motion Oriented Map[J]  Journal of Computer Science and Technology, 2017,V32(3): 520-535
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http://jcst.ict.ac.cn:8080/jcst/EN/10.1007/s11390-017-1741-z
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