基于加速自适应时空背景感知相关滤波的目标追踪算法

Object Tracking Algorithm Based on Accelerated Adaptive Spatial-Temporal Background Aware Correlation Filters

基于相关滤波设计鲁棒的追踪算法是目标追踪领域的一个重要研究方向.背景、空间信息和时间信息对提高算法的追踪性能具有重要意义.在背景感知追踪算法的基础上,融合空间信息和时间信息,考虑空间权值矩阵的自适应性,文中提出基于加速自适应时空背景感知相关滤波的目标追踪算法.运用加速的交替方向乘子法求解空间权值矩阵和滤波器,实现目标自适应追踪.利用背景信息、空间信息及空间权值的自适应性,增强追踪器对背景和目标的鉴别能力.运用时间正则项,缓解追踪器在目标遮挡下的追踪漂移问题.应用加速的交替方向乘子法,提高求解速度.实验表明,文中算法在目标遮挡、背景干扰等情况下的追踪性能较优.

Designing a robust tracking algorithm based on correlation filters is an important research direction in the target tracking.The information of background,space and time is significant for improving the tracking performance of the algorithm.Grounded on the background-aware tracking algorithm,an object tracking algorithm based on accelerated adaptive spatial-temporal background aware correlation filter is proposed by fusing the spatial information,temporal information and the adaptability of the spatial weight matrix.Then,the appearance optimization model is solved by the accelerated alternating direction method of multipliers to obtain the spatial weight matrix and the correlation filter to realize the adaptive tracking.The proposed tracking algorithm enhances the discrimination of the tracker for the object from the background with the background information,spatial information and the adaptive spatial weight.The problem of tracking drifting for the case of target occlusion is alleviated by the temporal-regularization term,and the solving process is speeded up by the accelerated alternating direction method of multipliers.Experiments illustrate that the proposed algorithm produces better tracking results in the cases of target occlusion and background interference.