Infrared Small Target Tracking Approach Using Mean-shift

摘要：

When the infrared small target has obvious mobile process and appearance changes, classic mean shift algorithm can not trace the object effectively, an algorithm that combines mean shift and kalman is proposed in this paper. Experimental results demonstrate that the improved algorithm can track the object successfully and have better robust for mobile process and appearance changes through predicting the site and size of the moving target in the next frame.

关键词： mean shift infrared small target target tracking kalman filter

作者: HE Rongguo FAN Guihua WANG Jiping ZHANG Tinghua

作者单位: Department of Photoelectricity Equipment, the Academy of Equipment Command & Technology,Beijing 1014 Department of Photoelectricity Equipment, the Academy of Equipment Command & Technology, Beijing 101

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 2306-2308

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）