摘要
针对复杂背景下运动目标跟踪这类问题,提出了一种显著性加权最小二乘图像匹配跟踪算法。新方法首先根据目标上不同区域和背景的差别大小,给每个目标区域赋予不同的权值。然后将权值与最小二乘图像匹配算法结合起来对目标进行跟踪。实验中将本文算法与三种经典跟踪算法进行比较,实验结果表明,在复杂背景下,新算法仍然可以有效、准确地跟踪运动目标,而经典算法均出现问题。新算法的单帧处理时间也可以满足实时处理要求。
To track the moving target in the cluttering backgrounds is one of the most important research fields in computer vision. A new tracking method based on the significance weighted least square image matching was proposed. According to the variance between the target and the background, the new method set the different weights to every parts of the target and tracks the target by the Significance Weighted Least Square Image Matching Method （SWLSIM）. We compared our new method with the three classical tracking methods. Experimental results show that the new method can track moving targets in the cluttering background effectively and accurately. However, the tracking results of the other three methods are unacceptable. And the new method is satisfied for real-time tracking processing.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2008年第4期23-27,34,共6页
Opto-Electronic Engineering
关键词
运动目标跟踪
显著性加权
最小二乘
图像匹配
moving target tracking
significance weighted
least square, image matching
