计算机应用与软件2024，Vol.41Issue(8)：182-188,7.DOI:10.3969/j.issn.1000-386x.2024.08.026
基于视频关键帧提取的快速T3D动作识别模型
FAST T3D ACTION RECOGNITION METHOD BASED ON VIDEO KEY FRAME EXTRACTION
摘要
Abstract
The video level action recognition method has the problems of large amount of video input data and slow recognition speed.The main reason is that these methods not only need to extract human posture in the spatial dimension,but also need to consider the association of actions in the temporal dimension.This paperproposes a fast T3D action recognition method based on video key frame extraction.It extracted video key frames through improved Superpoint network to reduce the amount of video data.Based on T3D network,the computational efficiency was improvedthrough spatiotemporal decomposition of its key module variable timing convolution layer.Experimental validation was conducted on the public datasets UCF-101 and HMDB-51.This method's accuracy is similar to the original T3D network,but its recognition speed is twice that of the original T3D network,which is more suitable for practical application scenarios.关键词
快速动作识别/视频关键帧提取/T3D网络/Superpoint网络/快速识别Key words
Fast action recognition/Key frame extraction/T3D network/Superpoint network/Fast recognition分类
计算机与自动化引用本文复制引用
丁建立,袁梓瑞,王怀超..基于视频关键帧提取的快速T3D动作识别模型[J].计算机应用与软件,2024,41(8):182-188,7.基金项目
国家自然科学基金项目(U1833114) （U1833114）
民航安全能力项目(SA2020280) （SA2020280）
中央高校基本科研业务费项目(3122019120). （3122019120）
