计算机应用与软件2025，Vol.42Issue(4)：156-165,10.DOI:10.3969/j.issn.1000-386x.2025.04.024
基于时空交互网络的人体行为检测方法研究
HUMAN BEHAVIOR DETECTION METHOD BASED ON SPATIO-TEMPORAL INTERACTIVE NETWORK
摘要
Abstract
Aimed at the problems of poor feature fusion ability,weak correlation of time-series information and unclear behavior boundary in the existing human behavior detection methods,a human behavior detection method based on spatio-temporal interactive network is proposed.The dual flow feature extraction module was redesigned,and a connection layer was added between the two networks of spatial flow and spatio-temporal flow.The improved spatial transformation network and visual attention model were introduced into spatial flow and temporal flow networks respectively.A feature fusion module based on pixel filter was designed to calculate the correlation of time series information in key areas and aggregate two kinds of features with different dimensions.The loss function of the network was optimized.Experimental results on AVA dataset show that this method has advantages on detection accuracy,speed and generalization ability.关键词
时空交互网络/人体行为检测/视觉注意力/特征融合/损失函数Key words
Spatio-temporal interactive network/Human behavior detection/Visual attention/Feature fusion/Loss function分类
信息技术与安全科学引用本文复制引用
田青,张浩然,楚柏青,张正,豆飞..基于时空交互网络的人体行为检测方法研究[J].计算机应用与软件,2025,42(4):156-165,10.基金项目
国家重点研发计划项目(2020YFB1600702) （2020YFB1600702）
国家自然科学基金项目(61806008). （61806008）
