摘要
运动目标识别与跟踪在军事和工业领域具有广泛的应用前景。典型的跟踪方法有相关匹配算法、光流算法、基于运动轮廓算法等。典型的识别方法有:模板匹配目标识别法、基于相似性度量识别法、基于遗传算法目标识别算法等。本文提出了一种基于神经网络的识别与跟踪方法,并研究了运动目标识别与跟踪仿真模型和实现方法。
The moving target recognition and tracking in the military and industry has a broad application prospects. The typical tracking methods are correlation matching algorithm, optical flow algorithm, motion-based contour algorithm, and so on. The typical identification methods include： template matching target recognition method, similarity measure based identification method, genetic algorithm based target recognition algorithm, and so on. This paper presents a neural network based identification and tracking method, and studies the identification and tracking of moving target simulation model and the realization method.
出处
《计算机与现代化》
2010年第5期63-65,共3页
Computer and Modernization
关键词
目标识别
目标跟踪
仿真
target identification
target tracking
simulation
