计算机与现代化Issue(8)：77-82,6.DOI:10.3969/j.issn.1006-2475.2026.08.010
数据-知识混合驱动的多部位特征共享步态识别方法
Multi-part Feature-sharing Gait Recognition Based on Hybrid Data and Knowledge Driving
摘要
Abstract
To address the critical challenge of compromising personnel identity authentication in intelligent factory surveillance,caused by severe occlusion of traditional biometric features(e.g.,face)due to mandated safety protocols(safety helmets and workwear),we propose a Multi-part Feature-sharing Gait recognition model(MFS-GaitPart)driven by a hybrid data-knowledge framework.At the data-driven level,a Frame-level Triple Feature Extractor(FTFE)captures fine-grained spatio-temporal features of the head,torso,and lower limbs,optimizing local motion representation.At the knowledge-driven level,in-dustrial safety protocols and biomechanical priors are integrated to dynamically constrain feature distributions.The data-knowledge hybrid driving mechanism is realized through the Horizontal Pooling Sharing(HP-S)module.The gait feature parti-tion is guided by industrial knowledge,and the shared weight is constructed based on the biomechanical prior to encode the multi-site collaborative relationship,and the adaptive fusion of data and knowledge features is completed through dynamic re-mapping.Extensive experiments demonstrate that in identity authentication scenarios(standard wear/carry distractions/abnormal intrusion),our model achieves an average recognition rate of 97.48%on the ISGD dataset—outperforming state-of-the-art meth-ods by 0.97 percentage points.On the CASIA-B dataset,it attains an average Rank-1 accuracy of 87.44%,surpassing existing approaches by 1.37percentage points~7.21percentage points.This work provides a high-robustness solution for personnel authen-tication and safety management in smart factories.关键词
智能工厂/身份认证/步态识别/深度学习/多部位特征Key words
smart factory/identity authentication/gait recognition/deep learning/multi-part features分类
信息技术与安全科学引用本文复制引用
赵雄赫,杨根,窦恩泽,李永富,杨鹏程..数据-知识混合驱动的多部位特征共享步态识别方法[J].计算机与现代化,2026,(8):77-82,6.基金项目
陕西省重点研发计划项目(2024GX-YBXM-237) （2024GX-YBXM-237）
