A Tracking Method with Structural Local Mean and Local Standard Deviation Appearance Model

摘要：

　　Aiming at the problem of illumination variation and partial occlusion in the object tracking,a structural local mean and local standard deviation appearance model is proposed.The object image is divided into some blocks.In each block,the local mean and local standard deviation are calculated,then,a feature vector is composed.In order to weaken the effect of the partial occlusion,an adaptive weighted value is set to each feature component.The Native Bayesian theory is applied to track the object in affine transform space.The experimental results demonstrate that the proposed tracking method performs favorably against several state-of-the-art methods.

关键词： object tracking local mean local standard deviation structural appearance model the Native Bayesian

作者: Dawei Yang Yang Cong Yandong Tang Yulian Li

作者单位: State Key Laboratory of Robotic,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyan State Key Laboratory of Robotic,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyan Shenyang Metrology Testing Institution,Shenyang,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 355-362

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）