基于改进的MOSSE相关滤波的目标跟踪

摘要

为了解决视频目标跟踪过程中遮挡、形变,光照导致跟踪漂移的问题,在MOSSE相关滤波算法基础上提出了一种多模式的视觉目标跟踪算法,该算法采用了一个控制模式更新率的策略,通过对不同模型下的跟踪置信度进行分析,自适应地对模型进行更新,有效地解决跟踪过程中目标剧烈外观变化或微弱位移变化,实现干扰条件下目标的稳定跟踪;对基准视频数据的仿真实验结果表明,提出的改进的算法可以明显改善跟踪精度和稳定性,适合工程应用.%In order to achieve robust tracking performance for occlusion,noise,and drifts,a multiple model update strategy for visual tracking algorithm is proposed to adapt the target appearance changes.Moreover,for adapting complex appearance change,an update rate strategy has been proposed.The multiple models update strategy for visual tracking algorithm can process both infinitesimally small movements and abrupt changes simultaneously,which can effective solve the severe appearance changes and weak displacement in the process of object tracking.Simulation experiments results have demonstrated that compared to its single model tracking algorithm,our proposed strategy can improves significantly the tracking stability and accuracy in benchmark datasets,which is suitable for military equipment applications.