Robust clothing-invariant gait recognition

Yu Guan, Chang Tsun Li, Yongjian Hu

Research output: Book chapter/Published conference paperConference paper

38 Citations (Scopus)
4 Downloads (Pure)

Abstract

Robust gait recognition is a challenging problem, due to the large intra-subject variations and small inter-subject variations. Out of the covariate factors like shoe type, carrying condition, elapsed time, it has been demonstrated that clothing is the most challenging covariate factor for appearance-based gait recognition. For example, long coat may cover a significant amount of gait features and make it difficult for individual recognition. In this paper, we proposed a random subspace method (RSM) framework for clothing-invariant gait recognition by combining multiple inductive biases for classification. Even for small size training set, this method can achieve promising performance. Experiments are conducted on the OU-ISIR Treadmill dataset B which includes 32 combinations of clothing types, and the average recognition accuracy is more than 80%, which indicates the effectiveness of our proposed method.
Original languageEnglish
Title of host publicationProceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Subtitle of host publicationIIH-MSP 2012
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages321-324
Number of pages4
ISBN (Print)9780769547121
DOIs
Publication statusPublished - 2012
Event8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing: IIHMSP-2012 - Department of Informatics, University of Piraeus, Piraeus-Athens, Greece
Duration: 18 Jul 201220 Jul 2012
https://web.archive.org/web/20120422072853/http://iihmsp12.unipi.gr (Conference website)

Conference

Conference8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
CountryGreece
CityPiraeus-Athens
Period18/07/1220/07/12
OtherIIH-MSP 2012 is the eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year is technically co-sponsored by IEEE and the European Association for Biometrics (EAB) and hosted by the University of Piraeus, Piraeus, Greece. Multimedia technologies with an increasing level of intelligence are emerging to enable the process of creating a global information infrastructure that will interconnect heterogeneous computer networks and various forms of information technologies around the world. The conference is intended as an international forum for researchers and professionals in all areas of information hiding and multimedia signal processing.
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