The location and scale filters in discriminative correlation filter methods are lack of accurate rotation representation capability and updated with fixed intervals, which leads to tracking failure and time-consuming in complex scenarios. In this manuscript, a robust tracker integrating particle filter into correlation filter is presented to cope with sharp rotation and remarkable deformation. The target position and scale factor are firstly estimated from the correlation filter, and then the rotation factor is determined by similarity between candidates and template based on the particle filter. As a result, target variation can be accurately described with position, scale and rotation factor. Moreover, a long-time and short-time update scheme is proposed to solve target template drifting problem. Extensive experimental results conducted on OTB-2013, OTB-2015 and VOT-2016 show that the proposed tracker improves the accuracy and robustness of discriminative correlation filter methods.

判别相关滤波方法中的位置和比例尺过滤器缺乏精确的旋转表示功能，并以固定间隔进行更新，这导致在复杂情况下跟踪失败并耗时。在此手稿中，提出了一种将粒子滤波器集成到相关滤波器中的鲁棒跟踪器，以应对急剧的旋转和明显的变形。首先从相关滤波器中估计目标位置和比例因子，然后基于粒子滤波器，根据候选对象与模板之间的相似性确定旋转因子。结果，可以利用位置，比例和旋转因子准确地描述目标变化。此外，针对目标模板漂移问题，提出了一种长时短时更新方案。