Stereo Images-Based Real-time Object Tracking Using Active Feature Model 


Vol. 16,  No. 2, pp. 109-116, Apr.  2009
10.3745/KIPSTB.2009.16.2.109


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  Abstract

In this thesis, an object tracking method based on the active feature model and the optical flow in stereo images is proposed. We acquired the translation information of object of interest and the features of object by utilizing the geometric information and depth of stereo images. Tracking performance is improved for the occlude object with this information by predicting the movement information of features of the occlude object. Rigid and non-rigid objects are experimented. From the result of experiment, the OOI can be real-time tracked from complicate back ground. Besides, we got the improved result of object tracking in any occlusion state, no matter what it is rigid or non-rigid object.

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[IEEE Style]

M. G. Park and J. W. Jang, "Stereo Images-Based Real-time Object Tracking Using Active Feature Model," The KIPS Transactions:PartB , vol. 16, no. 2, pp. 109-116, 2009. DOI: 10.3745/KIPSTB.2009.16.2.109.

[ACM Style]

Min Gyu Park and Jong Whan Jang. 2009. Stereo Images-Based Real-time Object Tracking Using Active Feature Model. The KIPS Transactions:PartB , 16, 2, (2009), 109-116. DOI: 10.3745/KIPSTB.2009.16.2.109.

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