A Coarse-to-Fine Human Body Segmentation Method in Video

Yingna Deng, Wenqing Wang


Human body precise segmentation is difficult because of inter-occlusion when there are multiple human bodies in video. A coarse-to-fine segmentation method is proposed. In coarse segmentation, human shape models are used to get human’s position and coarse region. The human models with variant scale and posture are constructed with head, torso, and legs. For each human body, its corresponding human shape model is obtained by model matching, and by which human position is obtained roughly. Human precise contour is obtained in fine segmentation by curve evolution with initial contour obtained from coarse segmentation. Experiment results show that the proposed method could segment human object precisely.


DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3539


Human shape model; level set; bayesian model; segmentation

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