尺度自适应的抗遮挡目标跟踪算法

Scale Adaptive and Anti-Occlusion Arithmetic for Moving Object Tracking

  • 摘要: 针对目标跟踪过程中的尺度变化、易被遮挡及跟踪漂移等问题,提出一种跟踪检测一体化的算法,改进算法在最小输出均方误差和(MOSSE)的基础上增加尺度变化更新机制,通过相关计算推算目标的最新位置和最佳尺寸,并融合了判断遮挡、模板自适应更新机制.通过对Benchmark上51个测试视频集跟踪实验分析,结果表明本文算法在尺度自适应以及抗遮挡方面优于传统算法.

     

    Abstract: In order to solve the problems during the target tracking process such as scale change, occlusion and tracking drift, an integrated tracking and detection algorithm was proposed, to which was added the scale change update mechanism based on the minimum mean square error (MOSSE) of the output, and the latest position and the optimal size of the target was calculated through the relevant calculation. The analysis of the tracking experiments of 51 test video sets on Benchmark demonstrates that the proposed algorithm performs better than traditional algorithm in terms of scale variation and occlusion resistance.

     

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