西安电子科技大学学报（自然科学版）Issue(5)：175-182,8.DOI:10.3969/j.issn.1001-2400.2015.05.029
一种AGMM配准的尺度自适应目标跟踪方法
Visual object tracking with the adaptive scale based on AGMM point sets matching
摘要
Abstract
A visual object tracking method with the adaptive scale based on AGMM ( Asymmetrical Gauss Mixture Models) point sets matching is proposed aimed at adaptively following the object's scale changes , which often cause tracking failure . As the feature point set in the last frame is considered as the GMM centroids and the feature point set in the current frame represents the data respectively , AGMM fuses the feature information and spatial information;by comparing the similarity between data and GMM centroids , we match the point sets between two adjacent frames and obtain the reliable feature points in the current frame;the degree of dispersion between points in the point set accurately reflects the size of the object scale and by using affine transformation , the proportion of the two point sets is computed to estimate the position and scale of the bounding box in the current frame accurately and effectively . Experimental results demonstrate that the method is adaptive to scale change and has advantage in illumination variation and color similar target tracking .关键词
视觉跟踪/尺度自适应/不对称高斯混合模型配准/仿射变换/特征点集Key words
visual tracking/adaptive scale/asymmetrical Gauss mixture models alignment/affine transformation/feature point set分类
信息技术与安全科学引用本文复制引用
张立朝,毕笃彦,杨源,余旺盛,覃兵..一种AGMM配准的尺度自适应目标跟踪方法[J].西安电子科技大学学报（自然科学版）,2015,(5):175-182,8.基金项目
国家自然科学基金资助项目（61202339）；博士后基金面上资金资助项目（2012M512144）；陕西省自然科学基金资助项目 （）
