원문정보
초록
영어
Aiming at object occlusions and appearance changes and other issues under complex environment, a new tracking method of multi-cue integration particle filter based on blocking is proposed. Based on fragment the method using color, texture and edge cues integration constructs particle weights updating scheme, and according to the probabilities of which varied information belongs to the object or to the background region, distinguishes appearance changes and occlusions, then the local template updating is applied and the stability of tracking is improved. In order to verify the performance and effectiveness of this method, the experiments use the indoor and outdoor test videos which contained the light changes, occlusions, and the appearance changes of objects. The experimental results showed that the method had strong robustness and high tracking accuracy.
목차
1. Introduction
2. Fragment Tracking Algorithm [9]
3. Adaptive Multi-Cues Integration Particle Filter Tracking
3.1. Basic Particle Filter
3.2. Adaptive Multi-Cues Integration Particle Filter Tracking
4. Algorithm Proposed by This Paper
4.1. Multi-cues Integration
4.2. Cue Weight Update
4.3. Template Online Update
5. Experiments and Analysis
5.1. The Experiments and Analysis on the Videos with Occlusions
5.2. The Quantitative Analysis
6. Conclusions
Acknowledgements
References