目标跟踪中巴氏系数误差的分析及其消除方法  

Errors of Bhattacharyya Coefficient and Its Reduction in Object Tracking

作　　者：文志强[1] 蔡自兴[1] 

机构地区：[1]中南大学信息科学与工程学院

出　　处：《计算机学报》2008年第7期1165-1174,共10页Chinese Journal of Computers

基　　金：国家自然科学基金(60234030,60773110);国家“九七三”重点基础研究发展规划项目基金(A1420060159)资助

摘　　要：在meanshift的目标跟踪方法中,Taylor公式的近似展开会造成优化过程中Bhattacharyya系数值的误差,这种误差会给目标跟踪带来偏差,同时不适合快速运动目标的跟踪.针对Bhattacharyya系数的Taylor公式近似表示情形,研究了这种近似表示引起的系数误差和对目标跟踪的影响,在此基础上,将Bhattacharyya系数的优化问题转化为求解约束优化问题,从而提出一种改进的目标跟踪方法,以达到提高目标跟踪的精度,而且证明了该改进方法的收敛性.实验表明文中方法对于快速运动目标的跟踪具有更好的跟踪精度.Taylor approximate formula, which will bring some errors of Bhattacharyya coefficient in mean shift object tracking, will result in errors of object racking, so mean shift object tracking method do not fit for the case that object moves quickly. Errors of Bhattacharyya coefficient and its influence on object tracking are studied in this paper. Based the analysis on errors of Bhattacharyya coefficient, the optimization problem of Bhattacharyya coefficient is transformed into a constrained optimization problem for improving the precision of object tracking, so an improved object tracking method is presented in this paper. In addition, the convergence of the improved object tracking method is proved and more details about this method are given. Experiments on object tracking are done and correlative parameter is discussed by experiments. The experimental results show the improved method is good for fast moving object tracking.

关 键 词：MEANSHIFT 目标跟踪 目标模型 BHATTACHARYYA系数 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]