计算机科学 ›› 2010, Vol. 37 ›› Issue (8): 15-20.

• 综述 • 上一篇    下一篇

步态表征和步态融合方法新进展

陈昌红,梁继民,赵恒,焦李成   

  1. (南京邮电大学通信与信息工程学院 南京210003);(西安电子科技大学生命科学与技术学院 西安710071);(西安电子科技大学电子工程学院 西安710071)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家重点基础研究发展计划973(2006CB705700),国家自然科学基金(60402038和60872154),江苏信软(2007)161号项目资助。

Advances in Gait Representation and Gait Fusion Methods

CHEN Chang-hong,LIANG Ji-min,ZHAO Heng,JIAO Li-cheng   

  • Online:2018-12-01 Published:2018-12-01

摘要: 作为可远距离感知的生物特征识别技术之一,步态识别受到越来越多的关注。有效的步态表征方法是步态识别的关键,信息融合是提高步态识别性能的重要手段。从步态表征方法和信息融合方法两方面总结了步态识别技术的最新进展;对步态表征方法做了详细的总结;从多特征融合、多视角融合和多模态生物特征融合3个方面归纳了融合在步态识别方面的发展。在此基础上,分析了步态识别的发展趋势。

关键词: 步态识别,步态表征,信息融合

Abstract: As one of the biometrics which can be perceived unobtrusively at a distance, gait recognition gets more and more attention. Efficient gait representation is critical for gait recognition and information fusion methods are important alternative to improve the performance of gait recognition. We summarized the recent advances in gait recognition from the viewpoint of gait representation and gait information fusion methods. We also summarized the latest gait representation methods in detail and sums up the gait information fusion methods from three categories: multi-feature fusion,multi-view fusion and multi-biometric fusion. Furthermore, the development trend of gait recognition was analyzed.

Key words: Gait recognition, Gait representation, Information fusion

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