关键词: 粒子滤波, 多线索, 融合策略, 遮挡

Abstract: This paper presents visual cues fusion and tracking local object properties for object tracking in video sequences using particle filtering. The visual cues, color, edge and texture, form the likelihood of the developed particle filter, a method for self-adaptively weighted product fusion strategy is proposed, and the cues real-time is updated. By using local object properties instead of the global ones, the performance of the tracker is greatly improved when the object undergoes partial occlusion. The results show that the proposal is more robust than simple cue fusing or conventional particle filter, and fast enough for real-time applications.

Key words: particle filter, multiple cues, fusion strategy, occlusion