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Gait recognition using low spatial and temporal resolution videos
conference contribution
posted on 2014-01-01, 00:00 authored by S D Choudhury, Y Guan, Chang-Tsun LiChang-Tsun LiDue to limited transmission bandwidth and storage capacity, the gait sequences captured by a Closed Circuit Television (CCTV) camera are recorded at low frame-rates with low spatial resolution, which significantly affect the performance of a gait recognition method. Thus, this paper proposes a gait recognition method which uses dual-tree complex wavelet transform for spatial resolution enhancement of the input low resolution silhouettes. To achieve invariance to low frame-rate gait sequences, the method determines seven key frames from a gait sequence based on silhouette matching by weighted Krawtchouk moments to form a Gait Keyframe Image (GKI). The subjects are identified based on a similarity score obtained by Procrustes image distance between the gallery and probe GKIs. Experimental analysis on OU-ISIR gait dataset D demonstrates the efficacy of the method.
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IEEE Biometrics Council. Workshop (2nd : 2014 : Valletta, Malta)Series
IEEE Biometrics Council WorkshopPagination
1 - 6Publisher
Institute of Electrical and Electronics EngineersLocation
Valletta, MaltaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-03-27End date
2014-03-28ISBN-13
9781479943708Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
IWBF2014 2014 : Proceedings of the 2nd International Workshop on Biometrics and ForensicsUsage metrics
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