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Hierarchical Active Shape Model-based Motion Estimation for Real-time Tracking of Non-rigid Object  

강진영 (중앙대학교)
이성원 (중앙대학교)
신정호 (중앙대학교)
백준기 (중앙대학교)
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Abstract
In this paper we proposed a hierarchical ASM for real-time tracking of non-rigid objects. For tracking an object we used ASM for estimating object contour possibly with occlusion. Moreover, to reduce the processing time we used hierarchical approach for real-time tacking. In the next frame we estimated the initial feature point by using Kalman filter. We also added block matching algorithm for increasing accuracy of the estimation. The proposed hierarchical, prediction-based approach was proven to out perform the exiting non-hierarchical, non-prediction methods.
Keywords
Active Shape Model; Block matching; Kalman filter; Hierarchical; Non-rigid object tracking;
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