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Gait-based person identification robust to changes in appearance

Sensors (Basel, Switzerland), 2013-06, Vol.13 (6), p.7884-7901 [Peer Reviewed Journal]

Copyright MDPI AG 2013 ;2013 by the authors; licensee MDPI, Basel, Switzerland. 2013 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s130607884 ;PMID: 23783739

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  • Title:
    Gait-based person identification robust to changes in appearance
  • Author: Iwashita, Yumi ; Uchino, Koji ; Kurazume, Ryo
  • Subjects: affine moment invariants ; gait ; local features ; person identification
  • Is Part Of: Sensors (Basel, Switzerland), 2013-06, Vol.13 (6), p.7884-7901
  • Description: The identification of a person from gait images is generally sensitive to appearance changes, such as variations of clothes and belongings. One possibility to deal with this problem is to collect possible subjects' appearance changes in a database. However, it is almost impossible to predict all appearance changes in advance. In this paper, we propose a novel method, which allows robustly identifying people in spite of changes in appearance, without using a database of predicted appearance changes. In the proposed method, firstly, the human body image is divided into multiple areas, and features for each area are extracted. Next, a matching weight for each area is estimated based on the similarity between the extracted features and those in the database for standard clothes. Finally, the subject is identified by weighted integration of similarities in all areas. Experiments using the gait database CASIA show the best correct classification rate compared with conventional methods experiments.
  • Publisher: Switzerland: MDPI AG
  • Language: English
  • Identifier: ISSN: 1424-8220
    EISSN: 1424-8220
    DOI: 10.3390/s130607884
    PMID: 23783739
  • Source: Open Access: DOAJ Directory of Open Access Journals
    Geneva Foundation Free Medical Journals at publisher websites
    AUTh Library subscriptions: ProQuest Central
    PubMed Central
    ROAD: Directory of Open Access Scholarly Resources
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