TLD tracking algorithm for metro construction site security
chinese automation congress(2020)
摘要
In view of security issues. this paper studies how to track the target at the metro construction site accurately and effectively. It is proposed to replace the tracking module in the TLD(Tracking-Leaning-Detection) algorithm with the GOTURN algorithm, to enhance the tracking robustness of the original algorithm in response to the target's illumination changes, rotation, occlusion, etc. To solve the problem of inaccurate sample division in the TLD algorithm learning module. a sample constraint mechanism is introduced to divide positive and negative samples more objectively and accurately. The sample deletion mechanism of weighted model matching is introduced to delete samples that are weak in characterizing the current target. which improves the tracking accuracy and efficiency of the algorithm. The experimental results show that the improved algorithm can well reduce the interference that is caused by the target pedestrian's illumination change. turning. occlusion, etc It can accurately track the target pedestrian for a long time, and has good robustness and real-time performance.
更多查看译文
关键词
Security on metro construction site,TLD tracking algorithm,GOTURN algorithm,Sample constraint and deletion mechanism
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要