基于遮挡检测的尺度自适应相关滤波跟踪

Scale Adaptive Correlation Filter Tracking with Occlusion Detection

近年来,相关滤波(CF)方法在目标跟踪领域的应用取得了骄人的成绩.本文针对相关跟踪在目标遮挡时效果不佳以及尺度变化方面不敏感的问题,提出了一个有效的遮挡检测机制和尺度变换策略.将跟踪目标以中心为原点分成四块矩形块,通过计算分析四块的峰值响应(Peak-to-Sidelobe Ratio, PSR)来判断目标受遮挡情况.并依据之前四个峰值响应点的位置,提出一个新的自适应尺度更新策略.在具有遮挡,尺度变化,光照变化等问题的公开数据集上对该方法进行测试,仿真实验表明,本文提出的自适应尺度的核相关滤波(OSCF)具有良好的跟踪性能.

In recent years, the Correlation Filter（CF） method in the field of tracking applications has made remarkable achievements. In this study, an effective occlusion detection mechanism and a scale transformation strategy are proposed to solve the problem that the relevant tracking is insensitive to the effect of target occlusion and the scale change. The tracking target is divided into four rectangular blocks with the center as the origin, and judging the degree of occlusion by calculating the Peak-to-Sidelobe Ratio（PSR） of the four blocks. And a new adaptive scale update strategy is proposed based on the position of the previous four peak response points. The method is tested on a public data set with problems such as occlusion, scale change, light change, etc. The simulation results show that the adaptive scale CF（OSCF）proposed in this study has good scale processing ability.