首页|基于多尺度特征融合的跨视角步态识别

基于多尺度特征融合的跨视角步态识别

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在跨视角步态识别中,针对衣着遮挡情况下难以提取具有可辨别性和多样性的步态特征,导致识别准确率下降的问题,提出了一种基于多尺度特征融合网络的跨视角步态识别方法.该方法能够有效利用步态特征间的互补性,获得具有可辨别性和多样性的步态特征,从而解决因衣着遮挡造成可辨别性差以及单一性的问题,进而提升跨视角步态识别的准确性.为验证所提方法的有效性,在公共数据集CASIA-B上进行了验证,实验结果表明所提方法在处理具有遮挡条件下的跨视角步态识别问题的识别性能达到了73.4%,同时在正常和背包两种行走条件下的识别性能分别达到了95.5%和88.0%.此外,我们的方法在处理遮挡条件下的识别性能优于同类典型的步态识别方法.
Cross-view gait recognition based on multi-scale feature fusion
In cross-view gait recognition,it is difficult to extract distinguishable and diverse gait features in the case of clothing occlusion,which leads to the decrease of recognition accuracy.A multi-scale feature fusion network based cross-view gait recognition method is proposed.This method can effectively utilize the complementarity among gait features to obtain gait features with discriminability and diversity,thereby solving the problem of poor discriminability and uniformity caused by clothing occlusion,and thus improving the accuracy of cross-viewing Angle gait recognition.In order to verify the effectiveness of the proposed method,the public data set CASIA-B was used to verify the proposed method.The experimental results show that the proposed method achieves 73.4％ recognition performance for the cross-viewing Angle gait recognition problem with occlusion,and 95.5％ and 88.0％ recognition performance under normal and backpack walking conditions,respectively.In addition,the performance of our method is better than that of other typical gait recognition methods under occluded conditions.

cross-view gait recognitionmulti-scale feature fusiongait featurediscriminability

邹雪、谭棉、严晓波、王飞、王林

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贵州民族大学数据科学与信息工程学院 贵阳 550025

贵州省模式识别与智能系统重点实验室,贵州民族大学 贵阳 550025

贵州民族大学人文科技学院 贵阳 550025

跨视角步态识别 多尺度特征融合 步态特征 可辨别性

国家自然科学基金国家自然科学基金贵州省科技计划项目贵州省科技计划项目贵州省科技计划项目贵州省科技计划项目贵州省高层次创新型人才项目贵州省教育厅自然科学研究项目贵州省教育厅青年科技人才成长项目贵州省教育厅青年科技人才成长项目贵州省教育厅青年科技人才成长项目贵州省教育厅青年科技人才成长项目贵州省教育厅青年科技人才成长项目贵州省模式识别与智能系统重点实验室开放课题

6224120662162012黔科合基础-ZK[2022]一般195黔科合基础-ZK[2023]一般143黔科合基础-ZK[2022]一般 550黔科合平台人才-ZCKJ[2021]007黔科合平台人才-GCC[2023]027黔教技[2022]015号黔教技[2023]012号黔教技[2022]015号黔教技[2023]061号黔教技[2023]062号黔教合 KY字[2021]115GZMUKL[2022]KF01

2024

10.19651/j.cnki.emt.2314185

电子测量技术
北京无线电技术研究所

电子测量技术

CSTPCD北大核心
影响因子：1.166
ISSN：1002-7300
年,卷(期)：2024.47(1)
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