基于改进粒子滤波算法的人体运动跟踪

在复杂环境中对人体进行有效性和鲁棒性的跟踪是计算机视觉领域一个非常富有挑战性的课题,提出了一种基于改进粒子滤波算法实现的人体运动跟踪。利用改进的粒子滤波算法跟踪视频序列中的人体运动,不但解决了传统粒子滤波算法计算量大、误码多的缺点,而且能较好地处理遮挡和自遮挡问题。实验结果表明,该改进算法能更准确、更有效地跟踪运动人体。

A improved particle-filer based algorithm for human motion tracking

An improved particle filter-based algorithm for human motion tracking is proposed, in this paper. In the field of computer vision, it is a challenging task to track the object effectively and robustly in intricate conditions. The theory of the improved particle-filter is illustrated and introduced to the human motion tracking. It resolves not only the defect of massive computation and frequent error-coded, but also the occlusion and auto-occlusion problem correctly. The results prove that the improved algorithm can track the human motion more correctly and efficiently.