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基于可变模板的前视目标跟踪算法
引用本文:牛轶峰,伯晓晨,沈林成.基于可变模板的前视目标跟踪算法[J].国防科技大学学报,2003,25(5):80-84.
作者姓名:牛轶峰  伯晓晨  沈林成
作者单位:国防科学技术大学机电工程与自动化学院,湖南,长沙,410073
摘    要:基于图像序列分析的图像制导极大地提高了成像武器的跟踪精度。给出了一种基于可变模板技术和遗传退火算法的图像序列目标跟踪算法。根据目标的物理特征构造出可变模板,定义合适的能量函数,采用遗传退火算法进行优化搜索。实验结果表明,该算法能够精确检测并跟踪目标,具有很快的收敛性和较高的抗噪声性。

关 键 词:目标跟踪  图像序列  可变模板  能量函数  遗传退火算法
文章编号:1001-2486(2003)05-0080-05
收稿时间:3/3/2003 12:00:00 AM
修稿时间:2003年3月3日

A Forward Looking Object Tracking Algorithm Based on Deformable Template
NIU Yifeng,BO Xiaochen and SHEN Lincheng.A Forward Looking Object Tracking Algorithm Based on Deformable Template[J].Journal of National University of Defense Technology,2003,25(5):80-84.
Authors:NIU Yifeng  BO Xiaochen and SHEN Lincheng
Institution:College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China
Abstract:The image guidance using image sequences analysis improves the shoot accuracy of missiles greatly. In this paper, we present a new method of automatic object recognition and tracking based on deformable template and genetic annealing algorithm. After the constructing object template and defining energy function according to their features, we use genetic annealing algorithm to search for the optimal solution. Experiment results show the method can be applied to detect and track the object efficiently and accurately.
Keywords:object tracking  image sequences  deformable template  energy function  genetic annealing algorithm
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