Gait recognition using low spatial and temporal resolution videos

Sruti Das Choudhury, Yu Guan, Chang Tsun Li

Research output: Book chapter/Published conference paperConference paper

2 Citations (Scopus)

Abstract

Due 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.
Original languageEnglish
Title of host publicationProceedings of the 2014 International Workshop on Biometrics and Forensics
Subtitle of host publicationIWBF 2014
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781479943708
DOIs
Publication statusPublished - 30 Sep 2014
EventIWBF 2014: 2nd International Workshop on Biometrics and Forensics - University of Malta, Valletta, Malta
Duration: 27 Mar 201428 Mar 2014
http://www.um.edu.mt/events/iwbf2014/

Conference

ConferenceIWBF 2014
CountryMalta
CityValletta
Period27/03/1428/03/14
OtherThe International Workshop on Biometrics and Forensics (IWBF) is organized by COST Action IC1106 – "Integrating Biometrics and Forensics for the Digital Age" and by IAPR TC4, the technical committee on Biometrics. It is an international forum devoted specifically to the development of synergies between the biometrics and forensic science research areas. IWBF provides the meeting place for those concerned with the usage of biometric recognition systems in forensic science applications, attracting participants from industry, research, academia and users.
Internet address

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  • Cite this

    Choudhury, S. D., Guan, Y., & Li, C. T. (2014). Gait recognition using low spatial and temporal resolution videos. In Proceedings of the 2014 International Workshop on Biometrics and Forensics: IWBF 2014 (pp. 1-6). [6914252] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IWBF.2014.6914252