An adaptive window object tracking based on particle filtering

摘要：

In the process of targeting and tracking under complex scenes, the scale of the target often changes. Tracking systems with fixed-size tracking window usually cannot accommodate the scenarios with irregularly varied scale of the targets. In this paper, we propose an adaptive window object tracking based on particle filtering, combining particle filtering tracking with moving target detection. This method is efficient to improve the classical color histogram based particle filtering tracking frameworks. In the presented tracking experiments, this new method successfully selects the proper size of tracking window when the object scale varies over time.

关键词： target tracking particle filtering adaptive spatial based window update scale feature color histogram

作者: Wenping Wu Jing Shao Wei Guo

作者单位: Department of Computing Mathematics Hebei University of Technology Tian Jin,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 170-174

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）