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| Object Tracking under Constraint of Adaptive Structure-Preserving |
| CHEN Chen-Shu, ZHANG Jun, XIE Zhao, GAO Jun |
| School of Computer and Information, Hefei University of Technology, Hefei 230009 |
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Abstract With structure preserving property in tracking, a representation method for object structural appearance is proposed. In the proposed method, regional nodes are built to describe the local property of the object. And several soft/hard constraints are defined on regional nodes so that local and global properties of the object and the spatial structure of regional nodes are unified and described by the object structural representation. During the tracking procedure, state of objects can be roughly estimated by matching scale-invariant feature transform (SIFT) flow of local regions between successive frames. Then, through soft/hard constraints on regional nodes, the tracking result can be adaptively adjusted, which is called adaptive structure-preserving (ASP). Experimental results show that ASP performs better than other methods in tracking objects with deformation, shadows and illumination changes. Furthermore, ASP shows robustness and good generalization ability when the resolution of video sequences is low and the object is similar to the background.
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Received: 24 March 2014
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2015, Vol. 28 
