基于自适应压缩跟踪算法的视觉目标跟踪

Chun-mei PEI,Yi HU,Gong-sheng ZHU,Ni-qin JING

Journal of Inner Mongolia Normal University(Natural Science Edition)（2018）

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Abstract

针对压缩跟踪算法在目标发生遮挡、快速移动、有相似目标情况存在跟踪漂移的问题,提出了基于卡尔曼滤波的自适应学习压缩跟踪算法.该算法首先利用压缩跟踪算法对目标进行定位,然后根据跟踪结果的置信图对分类器参数自适应更新,当判定目标严重遮挡时,利用卡尔曼滤波进行预测估计.实验结果表明,该算法相比目前先进的算法有更好的跟踪精度和鲁棒性,且算法平均跟踪速度39帧/s,能够满足实时性的要求.

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Key words

Kalman filter,compressive tracking,confidence map,adaptive learning

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