摘要
针对目标跟踪中的特征提取和匹配问题进行分析,提出了一种基于局部特征匹配的目标跟踪方法,该算法基于Shape Context进行特征提取。首先,对现有特征提取算法进行简单介绍,并详细介绍Shape Context的基本思想,基于此提出基于局部特征的跟踪算法。其次,详细阐述了目标跟踪算法:采用目标点的χ2-test直方图距离统计值进行待匹配点的相似度度量并通过对匹配点进行投票预测的方法,确定跟踪轨迹。该算法对目标的旋转、遮挡等具有良好的鲁棒性。通过实验分析证明该算法是有效的。
Analyze the feature extraction and matching algorithms of object tracking,then we develop an object tracking method based on local feature matching.The existing feature extraction algorithms and the basic idea of Shape Context is introduced.The tracking algorithm based on local characteristics is proposed.In this algorithm,we evaluate the similarity between the two feature points by histogram distance statistics based on χ2-test and we determine the tracking trajectory by votes and prediction to the matching points.It is better matched in target deformation,rotation and occlusion by using this method.The experiment results show that the object matching method is effective.
出处
《电子设计工程》
2011年第22期154-156,共3页
Electronic Design Engineering
关键词
形状上下文
特征匹配
投票预测
目标跟踪
shape context
feature matching
votes and prediction
object tracking
