兵工自动化2024，Vol.43Issue(5)：77-79,3.DOI:10.7690/bgzdh.2024.05.016
一种基于SiameseRPN的模糊视频目标跟踪算法
A Blur Video Target Tracking Algorithm Based on SiameseRPN
赵曜 1周勇 1龚俊 1李锐1
作者信息
- 1. 中国兵器装备集团自动化研究所有限公司特种计算机事业部,四川 绵阳 621000
- 折叠
摘要
Abstract
In order to improve the tracking accuracy,a lightweight video tracking algorithm for fuzzy video is proposed.The mainstream countermeasure generation network model DeblurGAN V2 is used for deblurring,and the improved SiameseRPN target tracking algorithm is used for target tracking.In order to achieve lightweight,the feature network of target tracking is replaced by EfficientNet network,and the attention mechanism is improved to ECANet to capture multi-channel information,which is tested on GoPro data set.The test results show that compared with the Siamese RPN algorithm,the proposed algorithm can achieve higher tracking accuracy,and the frame rate can meet the real-time requirements,which has certain reference significance.关键词
模糊视频/目标跟踪/去模糊/算法轻量化Key words
blurred video/object tracking/deblurring/lightweight algorithm分类
信息技术与安全科学引用本文复制引用
赵曜,周勇,龚俊,李锐..一种基于SiameseRPN的模糊视频目标跟踪算法[J].兵工自动化,2024,43(5):77-79,3.
