激光与光电子学进展, 2020, 57 (24): 241012, 网络出版: 2020-11-25
自适应上下文感知相关滤波跟踪 下载: 804次
Adaptive Context-Aware Correlation Filter Tracking
图像处理 机器视觉 目标跟踪 相关滤波 上下文感知 时间感知 image processing machine vision target tracking correlation filtering context-aware time awareness
摘要
针对上下文感知相关滤波跟踪算法中提取目标周围背景信息训练滤波器时,未考虑滤波器时间一致性的问题,当目标出现外观突变时,滤波器无法适应连续两帧图像中目标和背景信息的变化,易出现目标漂移等问题,提出一种自适应上下文感知相关滤波跟踪算法。首先,将目标周围的背景信息学习到滤波器中,增加滤波器对背景信息和目标的分类能力,加入时间感知项,保证学习连续两帧图像的滤波器尽可能一致。然后,采用线性插值法用于确定目标位置,模型更新阶段,引入遮挡判别依据平均峰值相关能量对目标是否遮挡进行判别。最后,在数据集OTB100上与当前主流算法进行大量对比实验。实验结果表明,本文算法在数据集OTB100上的精确率和成功率分别为0.798和0.722,与其他主流算法相比,本文算法在快速运动、遮挡、光照变化等复杂条件下也具有较好的跟踪效果。
Abstract
For the context-aware correlation filtering tracking algorithm, when extracting the background information around the target to train the filter, the time consistency of the filter is not considered. When the appearance of the target changes suddenly, the filter cannot adapt to the change of the target and background information in two consecutive frames, and the target drift is easy to occur. This paper proposes an adaptive context-aware correlation filtering tracking algorithm. First, the background information around the target is learned into the filter to enhance the filter''s ability to classify the background information and the target is added, and the time perception term is added to ensure that the filter for learning two consecutive images is as consistent as possible. Then, linear interpolation method is used to determine the target position. In the model update stage, occlusion discrimination is introduced to determine whether the target is occluded or not based on the average peak correlation energy. Finally, a large number of comparative experiments are carried out with the current mainstream algorithm on the data set OTB100. Experimental results show that the precision and success rate of the proposed algorithm on the data set OTB100 are 0.798 and 0.722, respectively. Compared with other mainstream algorithms, the proposed algorithm also has better tracking effect under complex conditions such as fast motion, occlusion, and illumination change.
姜文涛, 涂潮, 刘万军, 金岩. 自适应上下文感知相关滤波跟踪[J]. 激光与光电子学进展, 2020, 57(24): 241012. Jiang Wentao, Tu Chao, Liu Wanjun, Jin Yan. Adaptive Context-Aware Correlation Filter Tracking[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241012.