EFFECTIVE APPEARANCE MODEL FOR PROBABILISTIC OBJECT TRACKING

作     者：Wang Shupeng Ji Hongbing 

作者机构：School of Electronic Engineering Xidian University Xi＇an 710071 China School of Communication and Information Engineering Xi＇an University of Science and Technology Xi＇an 7100541 China 

出 版 物：《Journal of Electronics(China)》 (电子科学学刊（英文版）)

年 卷 期：2009年第26卷第4期

页      面：503-508页

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080203[工学-机械设计及理论] 081105[工学-导航、制导与控制] 0802[工学-机械工程] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：Supported by the National Natural Science Foundation of China (No. 60677040) 

主　　题：Object tracking Appearance model Particle filter Adaptive scale 

摘      要：This paper presents a robust object tracking approach via a spatially constrained colour model. Local image patches of the object and spatial relation between these patches are informative and stable during object tracking. So, we propose to partition an object into patches and develop a Spatially Constrained Colour Model (SCCM) by combining the colour distributions and spatial configuration of these patches. The likelihood of the candidate object is given by estimating the confidences of the pixels in the candidate object region. The appearance model is learnt from the first frame and the tracking is carried out by particle filter. The experimental results show that the proposed tracking approach can accurately track the object with scale changes, pose variance and partial occlusion.