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基于警务实战应用的步态识别技术研究

A Research on Gait Recognition Technology and Its Application in Policing Practice
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摘要 步态识别具有唯一性、防伪装性和抗干扰性强等先天优势,在警务实战应用中拥有巨大潜力和广阔前景。步态识别技术分为表征描述、特征提取和分类识别三个阶段,当前各阶段研究工作已取得显著成绩,但仍存在技术难点。在未来侦查实务中,要将步态识别技术与人脸识别技术、图像侦控平台、技术侦查手段进行“三结合三融入”,探索五项创新应用模式,进一步推动侦查领域生产力解放。 Gait recognition has the advantages of uniqueness,anti-counterfeiting and interference immunity,making its has great potential and bright prospects in policing practice.The technology of gait recognition consists of three stages:morphology description,feature extraction and classified recognition.Although recently great achievements have been reached at every stage,there still remain some technical difficulties.In the future investigation practice,in order to explore five innovative application models and further develop productivity and liberate the labour force in the investigation field,gait recognition should be combined with face recognition technology,image detection and control platform,and means of technical investigation,which is called“combine three and blend three”by us.
作者 张扬 ZHANG Yang(Binhai New Area Public Security Bureau,Tianjin 300450,China)
出处 《北京警察学院学报》 2021年第6期113-116,共4页 Journal of Beijing Police College
关键词 步态识别 步态识别技术 应用前景 gait recognition gait recognition technology application prospect in policing practice
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  • 1Jain A, Bolle R, Pankanti S. Biometrics: Personal Identification in Networked Society [M]. Boston, USA: Kluwer Academic Publishers, 1999.
  • 2Niyogi S A, Adelson E. Analyzing and recognizing walking figures in XYT [C]// Proceedings of 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA. USA: IEEE, 1994: 469-474.
  • 3Sarkar S, Phillips P Jonathon, Liu Z, et al. The human ID gait challenge problem: data sets, performance, and analysis [J].IEEE Transactions on Pattern Analysis and Machine Intelligence (SO 162-8828), 2005, 27(2): 162-177.
  • 4Huang Ping S. Automatic gait recognition via statistical approaches for extended template features [J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics (S 1083-4419), 2001, 31 (5): 818-824.
  • 5Wang Liang, Ning Huazhong, Hu Weiming, et al. Gait recog2nition based on procrustes shape analysis [C]// Proceedings of the 9th IEEE International Conference on Image processing, Rochester, New York, USA, 2002. USA: IEEE, 2002: 433-436.
  • 6Dockstader Shiloh L, Bergkessel Kelly A, Tekalp A Murat. Feature extraction for the analysis of gait and human motion [C]// Proceedings of the 16th International Conference on Pattern Recognition. Quebec, Canada: ICPR, 2002: 5-8.
  • 7Dockstader Shiloh L, Tekalp A Murat. A kinematic model for human motion and gait analysis [C]// Proceedings of the Workshop on Statistical Methods in Video Processing, International ECCV 2002 Workshop. Copenhagen, Danmark: ECCV, 2002: 49-54.
  • 8Lee L, Grimson W E L. Gait appearance for recognition [C]// Proceedings of Biometric Authentication, International ECCV 2002 Workshop. Copenhagen, Danmark, ECCV, 2002: 143-154.
  • 9Zhang Rong, Vogler Christian, Metaxas Dimitris. Human gait recognition [C]// Proceedings of t he 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW'04). USA: IEEE, 2004, 27(02): 18-20.
  • 10Urtasun R, Fua P. 3D tracking for gait characterization and recognition [C]// Proceedings of the 6t h IEEE International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, 2004. USA: IEEE, 2004: 17-22.

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