Object Tracking Algorithm Based on Camshift and Grey Prediction Model in Occlusions

摘要：

　　In this paper,an improved object tracking algorithm based on Camshift and grey prediction model GM (1.1) was proposed to solve problem of the poor tracking ability in occlusions.The whole tracking system could be divided into three parts:the occlusions identifying system based on Bhattacharyya coefficient analysis,the prediction system based on grey model GM (1.1) and Camshift algorithm.In the tracking process,those three parts run by turns according to different cases.Experiment results of variant video sequences demonstrate that the proposed method can track the objects stably and accurately during occlusions.

关键词： Occlusions Grey prediction Camshift Object tracking

作者: Zhiwei Wang Fuping Yang

作者单位: College of Computer Science and Information Guizhou University Guizhou, China,550025 College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chon

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 997-1000

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）