Hand Tracking based on Adaptive Kernel Bandwidth Mean Shift
In the process of human computer interaction,hand tracking is of great importance.A practical hand tracking method based on improved mean shift is proposed.Firstly,a rectangle tracking window containing the hand is determined manually in the initial frame.A target model based on the color histogram is established.For the subsequent frames,candidate models are also established.Next,the optimal center location of the target can be found by iterative operations with finite number of times.By modifying the radius of the kernel profile with a certain fraction,the size of the tracking window can be changed adaptively,and the proposed hand tracking method is no longer affected by scale changes of the target.Experimental results demonstrate that the proposed method can track the moving hand accurately.The proposed hand tracking method can be used in the fields of human computer interaction and augmented reality.
human computer interaction hand tracking mean shift kernel bandwidth color histogram Bhattacharyya coefficient
Yi Zheng Ping Zheng
School of Information and Electronic Engineering Shandong Technology and Business University Yantai, School of Computer Science and Engineering Anhui University of Science and Technology Huainan,China
国际会议
重庆
英文
548-552
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）