关键词: 粒子滤波, 多特征融合, 颜色直方图, 方向梯度直方图, 模块更新

Abstract: In order to avoid the tracking failure based on single feature under the conditions of cluttered backgrounds and illumination changes, a robust tracking algorithm was proposed based on multi-feature fusion and particle filter. Multi-block color histogram based on HSV was used to describe the overall distribution characteristics of the target and histogram of oriented gradients containing some construction information. The two features were fused in the frame of particle filter. Meanwhile, the weighs of fusing strategy, template and noise distribution parameters were updated online, and the particle number of the features was adjusted dynamically. The experimental results show that the proposed method is of higher robustness and provides more accurate result.

Key words: particle filter, multi-feature fusion, color histogram, histogram of oriented gradients, template updating