摘要
利用帧差法和基于Sampson距离的随机抽样一致性(RANSAC)匹配算法,实现基于时空信息的多运动目标跟踪。采用帧差法获知运动目标大概位置,运用Harris算法提取每帧视频图像中运动目标的角点,并对其进行归一化处理,利用RANSAC算法对角点进行匹配,使用阈值分割法确定运动目标位置。实验结果表明,该方法能准确跟踪相似目标,其实时性较高。
By using the frame differencing algorithm and Random Sampling Consensus（RANSAC） matching algorithm based on Sampson distance, this paper realizes a multiple motion targets tracking based on temporal and spatial information. It gains the approximate position of motion target by using frame differencing algorithm, uses Harris algorithm to pick up the comer points of motion targets in every frame of video image and normalizes the configuration of these comer points. It uses RANSAC algorithm to match the corner points. A thresholding method is adopted to locate the position of the motion target. Experimental results show that this method can track similar targets with high precision and real-time performance.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第18期219-220,251,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60772122)
安徽省教育厅自然科学基金资助重点项目(KJ2007A045
KJ2008A033)
关键词
视频
目标跟踪
HARRIS算法
角点检测
随机抽样一致性匹配算法
video
target tracking
Harris algorithm
comer point detection
Random Sampling Consensus（RANSAC） matching algorithm
