Unsupervised Human Members Tracking Based on an Silhouette Detection and Analysis Scheme
نویسندگان
چکیده
In this paper, an unsupervised, automatic video human members(human body and parts) tracking algorithm is proposed based on a propabilictic human silhouette detection method and a geometric human silhouette analysis algorithm. First, the human silhouette is estimated using the following scheme : 1) an face detection, and 2) a human body detection based on biometric 2-D templates. Next, the human members are recognized and 18 major points, located on the human body and parts, are detected using a 2-D biometric model. The proposed method is executed automatically in each frame of the video sequence.
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