Combining gait and face for tackling the elapsed time challenges

Yu Guan, Xingjie Wei, Chang Tsun Li, Gian Luca Marcialis, Fabio Roli, Massimo Tistarelli

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

13 Citations (Scopus)

Abstract

Random Subspace Method (RSM) has been demonstrated as an effective framework for gait recognition. Through combining a large number of weak classifiers, the generalization errors can be greatly reduced. Although RSM-based gait recognition system is robust to a large number of covariate factors, it is, in essence an unimodal biometric system and has the limitations when facing extremely large intra-class variations. One of the major challenges is the elapsed time covariate, which may affect the human walking style in an unpredictable manner. To tackle this challenge, in this paper we propose a multimodal-RSM framework, and side face is used to strengthen the weak classifiers without compromising the generalization power of the whole system. We evaluate our method on the TUM-GAID dataset, and it significantly outperforms other multimodal methods. Specifically, our method achieves very competitive results for tackling the most challenging elapsed time covariate, which potentially also includes the changes in shoe, carrying status, clothing, lighting condition, etc.
Original languageEnglish
Title of host publicationProceedings of The IEEE Sixth International Conference on Biometrics
Subtitle of host publicationTheory, Applications, and Systems
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-8
Number of pages8
ISBN (Print)9781479905270
DOIs
Publication statusPublished - 2013
EventThe IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013) - Capital View Ballroom, Washington, DC, United States
Duration: 29 Sep 201302 Oct 2013

Conference

ConferenceThe IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013)
CountryUnited States
CityWashington, DC
Period29/09/1302/10/13

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