计算机工程与应用2025，Vol.61Issue(23)：126-134,9.DOI:10.3778/j.issn.1002-8331.2408-0410
融合双序列姿态的驾驶员行为识别方法
Driver Behavior Recognition Method Using Dual-Sequence Pose Integration
摘要
Abstract
Identifying dangerous driving behavior patterns can enhance driving safety and is a crucial aspect of autono-mous driving technology research.Currently,image-based driver behavior recognition methods face challenges such as high computational costs and information redundancy.To address these issues,a novel driver behavior recognition method called SimPoseConv3D is proposed,which integrates dual-sequence posture information.Firstly,the SimCC module extracts driver pose heatmap sequences from video.These heatmaps are then stacked,cropped,and sampled along the temporal dimension.Subsequently,the heatmap volumes are fused in both forward and backward directions along the time axis before being input into a 3D CNN to extract spatiotemporal features for behavior recognition.Training and testing on the Drive&Act dataset,along with ablation experiments,show that the proposed method achieves recognition accura-cies of 70.25%and 79.04%on Task-level(overall behavior)and Mid-level(fine-grained behavior)test sets,respectively,representing improvements of 6.07 and 4.13 percentage points over the current best public methods.Additionally,using SimCC as the pose estimator enhances computational efficiency by 18.51%compared to traditional pose estimators.关键词
驾驶员行为识别/人体姿态估计/双向姿态热图序列Key words
driver behavior recognition/human pose estimation/bi-directional pose heatmap sequences分类
信息技术与安全科学引用本文复制引用
谭大艺,田炜,熊璐..融合双序列姿态的驾驶员行为识别方法[J].计算机工程与应用,2025,61(23):126-134,9.基金项目
重庆自然科学基金(CSTB2023NSCQ-MSX0063) （CSTB2023NSCQ-MSX0063）
同济大学自主原创基础研究项目(22120220593) （22120220593）
国家重点研发计划(2021YFB2501104) （2021YFB2501104）
上海汽车工业科技发展基金会项目(2407). （2407）
