CAJ | 학술논문

基于核密度估计的均值漂移算法因其良好的实时性而被广泛地应用于目标跟踪，但传统的均值漂移算法极易因颜色等信息的缺乏而使跟踪不稳定，且目标尺度的变化也不利于目标位置的准确估计，为此，提出了一种具有边界约束的均值漂移红外人体目标跟踪新方法。该方法通过各向异性扩散，并联合红外图像的梯度与亮度信息来获取目标边界，自适应调整核窗宽，从而利用均值漂移策略进行红外人体目标跟踪。实验结果表明，该方法在红外人体目标尺度改变时仍能实现良好的跟踪。
기우핵밀도고계적균치표이산법인기량호적실시성이피엄범지응용우목표근종，단전통적균치표이산법겁역인안색등신식적결핍이사근종불은정，차목표척도적변화야불리우목표위치적준학고계，위차，제출료일충구유변계약속적균치표이홍외인체목표근종신방법。해방법통과각향이성확산，병연합홍외도상적제도여량도신식래획취목표변계，자괄응조정핵창관，종이이용균치표이책략진행홍외인체목표근종。실험결과표명，해방법재홍외인체목표척도개변시잉능실현량호적근종。
As mean shift algorithm based on KDE has good performance of real-time,it has been widely used in target tracking.However,the tracking robust of traditional mean shift algorithm is often depended on such features like color, etc.Moreover,the tracked position is usually affected by the scale change of target during tracking procedures.To o-vercome these disadvantages,a new infrared pedestrian target tracking approach based on mean shift with boundary constraint is proposed.This method uses the gradient of infrared image processed by anisotropic diffusion.Particularly, the target boundary is obtained by its gradient as well as brightness information,kernel bandwidth is adaptively adjus-ted.At last,the infrared pedestrian target tracking is carried out by the strategy of mean shift algorithm,and the experi-mental results show that the proposed approach can achieve efficient tracking when the scale of the target changes.