Target Pedestrian Tracking Algorithm Based on Occlusion Scene

2019 The 5th International Conference on Electrical Engineering, Control and Robotics

无线电电子学;计算机科学

Du, Guocai^1

Department of Computer Science and Engineering, Yunnan University, Kunming

650000, China^1

关键词: Forgetting factors;    Incremental learning;    Observation model;    Pedestrian tracking;    Tracking algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/533/1/012059/pdf
DOI  :  10.1088/1757-899X/533/1/012059

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The traditional incremental learning tracking algorithm tends to drift or lose track when the pedestrian is occluded and the background is similar to the pedestrian target. This paper proposes a pedestrian tracking algorithm based on improved incremental learning. According to the difference between the central position of the current observation model and that of the previous one, the reliability of the observation model can be judged, and then the forgetting factor can be adjusted, so that the observation model can adapt to the changes of pedestrian targets. The experimental results show that the improved algorithm can track the pedestrian target accurately and effectively in the occlusion scene.