Crowd Object Segmentation Method Based on Posture Model
Huifang Qian · Jisuanji gongcheng · 2010
Object tracking and recognition across multiple cameras requires as far as precise object area.Aiming at the adhesion problem of crowd object,this paper proposes a crowd object segmentation method based on posture model.According to the posture change rule during human movement,it constructs seven kinds of posture model with high probability.Each object position,size and posture message are obtained by model matching for single and combined objects.Experimental results show that this method can solve object segmentation effectively under the situation of occlusion.