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Robust gait recognition from extremely low frame-rate videos

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Guan, Yu, Li, Chang-Tsun and Choudhury, Sruti Das (2013) Robust gait recognition from extremely low frame-rate videos. In: 2013 International Workshop on Biometrics and Forensics (IWBF), Lisbon, Portugal, 4-5 Apr 2013 pp. 1-4. ISBN 9781467349871. doi:10.1109/IWBF.2013.6547319

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Official URL: http://dx.doi.org/10.1109/IWBF.2013.6547319

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Abstract

In this paper, we propose a gait recognition method for extremely low frame-rate videos. Different from the popular temporal reconstruction-based methods, the proposed method uses the average gait over the whole sequence as input feature template. Assuming the effect caused by extremely low frame-rate or large gait fluctuations are intra-class variations that the gallery data fails to capture, we build a general model based on random subspace method. More specifically, a number of weak classifiers are combined to reduce the generalization errors. We evaluate our method on the OU-ISIR-D dataset with large/small gait fluctuations, and very competitive results are achieved when both the probe and gallery are extremely low frame-rate gait sequences (e.g., 1 fps).

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Gait in humans -- Measurement, Human activity recognition, Image reconstruction
Publisher: Institute of Electrical and Electronics Engineers
ISBN: 9781467349871
Book Title: 2013 International Workshop on Biometrics and Forensics (IWBF)
Official Date: 2013
Dates:
DateEvent
2013Published
Page Range: pp. 1-4
DOI: 10.1109/IWBF.2013.6547319
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 28 December 2015
Date of first compliant Open Access: 28 December 2015
Conference Paper Type: Paper
Title of Event: 2013 International Workshop on Biometrics and Forensics (IWBF)
Type of Event: Workshop
Location of Event: Lisbon, Portugal
Date(s) of Event: 4-5 Apr 2013
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