Learning optimised representations for view-invariant gait recognition

Ning Jia, Victor Sanchez, Chang Tsun Li

    Research output: Book chapter/Published conference paperConference paperpeer-review

    9 Citations (Scopus)


    Gait recognition can be performed without subject cooperation under harsh conditions, thus it is an important tool in forensic gait analysis, security control, and other commercial applications. One critical issue that prevents gait recognition systems from being widely accepted is the performance drop when the camera viewpoint varies between the registered templates and the query data. In this paper, we explore the potential of combining feature optimisers and representations learned by convolutional neural networks (CNN) to achieve efficient view-invariant gait recognition. The experimental results indicate that CNN learns highly discriminative representations across moderate view variations, and these representations can be further improved using view-invariant feature selectors, achieving a high matching accuracy across views.
    Original languageEnglish
    Title of host publication2017 International Joint Conference on Biometrics (IJCB)
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Number of pages7
    ISBN (Electronic)9781538611241
    ISBN (Print)9781538611258 (Print on demand)
    Publication statusPublished - 01 Feb 2018
    EventIEEE International Joint Conference on Biometrics: IJCB 2017 - Denver Marriott Tech Center , Denver, United States
    Duration: 01 Oct 201704 Oct 2017
    http://www.ijcb2017.org/ijcb2017/index.php (Conference website)
    https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8263072 (Conference proceedings)


    ConferenceIEEE International Joint Conference on Biometrics
    Country/TerritoryUnited States
    OtherThe International Joint Conference on Biometrics (IJCB 2017) combines two major biometrics research annual conferences, the Biometrics Theory, Applications and Systems (BTAS) conference and the International Conference on Biometrics (ICB). The blending of these two conferences in 2017 is through special agreement between the IEEE Biometrics Council and the IAPR TC-4, and presents an exciting event for the entire worldwide biometrics research community. This is the third such joint conference, following IJCB 2014 in Clearwater Florida and the first IJCB 2011 in Washington DC. This conference is a result of major worldwide consensus to join the two major biometrics meetings and to establish IJCB as a venue for presenting biometrics research results of highest quality.
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