Infrared target tracking based on multi-feature fusion under motion platform

作     者：袁胜智 谢晓方 李洪周 

作者机构：Department of Ordnance Science and TechnologyNaval Aeronautical and Astronautical University 

出 版 物：《Optoelectronics Letters》 (光电子快报（英文版）)

年 卷 期：2009年第5卷第6期

页      面：459-463页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by the National Defense Research Fund of China (No.43511121B) 

主　　题：多特征融合 运动平台 目标跟踪 红外目标 卡尔曼滤波 自适应跟踪 核密度估计 ared 

摘      要：In order to realize infrared target tracking accurately under motion platform,and make up for the shortcoming of the nuclear density estimation based on gradation feature,an adaptive kalman-mean shift algorithm based on multi-feature fusion is *** target model based on edge-gradation feature fusion is applied in the mean shift *** starting position at present of an infrared target is predicted by a kalman filter,and then a scale updating item of tracking window is appended based on the relationship between mutual information and the object *** the moving object,especially the object with a variable scale,is adaptively tracked under motion *** results demonstrate that the adaptability of mean shift algorithm is enhanced by the improved scheme,which can be applied in the process of long time tracking for the object with a variable scale.