and Background

摘要：

　　The kernel-based mean shift tracker outperforms other trackers due to its innovated target representation and efficient optimization strategy. However, this representation relies overmuch on the foreground and thus. decreases the robustness to the background change and clutter. To this point. this paper presents a dual-kernel tracker based on mean shift using both foreground and background. The proposed target representation consists of foreground model and background model, and the optimizing process integrates foreground kernel iteration and background kernel iteration. Experiments indicate that the proposed tracker obtains better performance in coping with background change and clutter.

关键词： visual tracking mean shift kernel-based tracker dual-kernel tracker

作者: Wangsheng Yu Zhiqiang Hou Xiaohua Tian Lang Zhang Wanjun Xu

作者单位: Information and Navigation College, Air Force Engineering University, Xian, China

会议类型: 国际会议

会议名称: 9th Conference on Image and Graphics Technologies and Applications(IGTA2014)(第九届图像图形技术与应用学术会议)

会议地点: 北京

会议语种:英文

页码: 88-95

在线出版日期: 2014-06-01（万方平台首次上网日期，不代表论文的发表时间）