一种抗遮挡的运动目标跟踪算法

针对当前目标跟踪算法受环境干扰大、抗遮挡能力差等不足,设计一种抗遮挡的运动目标跟踪算法.首先分析经典运动目标跟踪算法——均值漂移算法的局限性,然后从目标候选特征中选择对跟踪贡献最大的显著特征,并采用自适应的模板更新策略提高运动目标精度.仿真实验结果表明,该算法能对运动目标进行准确、实时跟踪,加快了运动目标跟踪速度,且对遮挡目标具有良好的鲁棒性,可获得更理想的运动目标跟踪结果.

An Anti-occlusion Tracking Algorithm for Moving Objects

Aiming at the problem that the current target tracking algorithm was subject to large environmental interference and poor anti\|occlusion ability, the author designed an anti\|occlusion tracking algorithm for moving objects. Firstly, the limitations of the classical tracking algorithm for moving objects—mean shift algorithm were analyzed, and then salient features that contributed most to the tracking were selected from the target candidate features, and the adaptive template updating strategy was adopted to improve the accuracy of the moving objects. The simulation results show that the algorithm can track moving object accurately and real time, accelerate the tracking speed of moving object, have good robustness to occlusion object, and obtain better tracking results for moving object.