一种融合粒子滤波的多特征特定行人追踪方法

针对特定行人目标跟踪，提出了一种融合粒子滤波的多特征特定行人检测追踪方法。该方法借鉴空间金字塔匹配模型将行人在空间上进行划分，然后融合颜色特征和局部三值模式（LTP）纹理特征，提取目标行人各子区域信息，最后结合粒子滤波来综合判断目标行人的位置。实验结果显示，本文方法能够有效区分目标与背景，同时在目标行人被遮挡的情况下，算法能够有效跟踪。 

A Specific Pedestrian Tracking Method Based on Particle Filter and Multi-Feature Fusion

For the target tracking of specific pedestrians, a particular pedestrian tracking approach based on multi-feature fusion and particle filter is proposed.The approach uses the space pyramid matching model for reference to divide the target in space, then extracts color features and LTP features from each sub-region of the target, finally, integrates particle filter to determine the location of the target pedestrians.The experimental results show that the approach can effectively distinguish between target and background.Moreover, it can effectively track the target in the case of occluded.