A New Target Tracking Algorithm Based on Online Adaboost

摘要：

　　In order to overcome the effect of blocking in process of target tracking under stationary camera, a target tracking algorithm based on online Adaboost was presented.Codebook model was set up to detect moving target in YUV color space; in process of tracking, feature of online Adaboost fused texture contours and color, then accurate target location was obtained.The experimental results show that, the detecting algorithm in this paper has good detecting results, which provides assistance to tracking.The proposed tracking algorithm is effective for the targets having blocking, even a large area of blocking in more complex scenes.

关键词： moving target tracking codebook model online Adaboost feature selection

作者: Zhuowen Lv Kejun Wang Tao Yan

作者单位: College of Automation, Harbin Engineering University, 150001 Harbin, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 301-307

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）