A Multi-modal gait based human identity recognition system based on surveillance videos

Emdad Hossain; Girija Chetty

doi:10.1109/ICSPCS.2012.6508011

A Multi-modal gait based human identity recognition system based on surveillance videos

Emdad Hossain, Girija Chetty

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In this paper we propose a novel human-identification scheme from long range gait profiles in surveillance videos. We investigate the role of multi view gait images acquired from multiple cameras, importance of infrared and visible range images in ascertaining identity, and role of soft/secondary biometric (walking style) in enhancing the accuracy and robustness of the identification systems, Experimental evaluation of several subspace based gait feature extraction approaches (PCA/LDA) and learning classifier methods (MLP/SMO) on different datasets from a publicly available gait database CASIA, show that it is possible to do large scale human identity recognition from gait information captured in multiple view-points, with multiple cameras and with usage of subtle soft/secondary biometric information

Original language	English
Title of host publication	ieee proceedings on 6th international conference on signal processing and communication systems
Editors	Tad Wysocki
Place of Publication	New Jersey, USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-4
Number of pages	4
ISBN (Print)	9781467323918
DOIs	https://doi.org/10.1109/ICSPCS.2012.6508011
Publication status	Published - 2012
Event	6th international conference on signal processing and communication systems - Gold Coast , Gold Coast , Australia Duration: 12 Dec 2012 → 14 Dec 2012 https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=20977

Conference

Conference	6th international conference on signal processing and communication systems
Country/Territory	Australia
City	Gold Coast
Period	12/12/12 → 14/12/12
Internet address	https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=20977

Access to Document

10.1109/ICSPCS.2012.6508011

Cite this

@inproceedings{31c87436e8f841fb80762d1db517bdab,

title = "A Multi-modal gait based human identity recognition system based on surveillance videos",

abstract = "In this paper we propose a novel human-identification scheme from long range gait profiles in surveillance videos. We investigate the role of multi view gait images acquired from multiple cameras, importance of infrared and visible range images in ascertaining identity, and role of soft/secondary biometric (walking style) in enhancing the accuracy and robustness of the identification systems, Experimental evaluation of several subspace based gait feature extraction approaches (PCA/LDA) and learning classifier methods (MLP/SMO) on different datasets from a publicly available gait database CASIA, show that it is possible to do large scale human identity recognition from gait information captured in multiple view-points, with multiple cameras and with usage of subtle soft/secondary biometric information",

keywords = "Multimodal, Gait, Biometric Identification",

author = "Emdad Hossain and Girija Chetty",

year = "2012",

doi = "10.1109/ICSPCS.2012.6508011",

language = "English",

isbn = "9781467323918",

pages = "1--4",

editor = "Tad Wysocki",

booktitle = "ieee proceedings on 6th international conference on signal processing and communication systems",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "6th international conference on signal processing and communication systems ; Conference date: 12-12-2012 Through 14-12-2012",

url = "https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=20977",

}

Hossain, E & Chetty, G 2012, A Multi-modal gait based human identity recognition system based on surveillance videos. in T Wysocki (ed.), ieee proceedings on 6th international conference on signal processing and communication systems. IEEE, Institute of Electrical and Electronics Engineers, New Jersey, USA, pp. 1-4, 6th international conference on signal processing and communication systems, Gold Coast , Queensland, Australia, 12/12/12. https://doi.org/10.1109/ICSPCS.2012.6508011

A Multi-modal gait based human identity recognition system based on surveillance videos. / Hossain, Emdad; Chetty, Girija.
ieee proceedings on 6th international conference on signal processing and communication systems. ed. / Tad Wysocki. New Jersey, USA: IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 1-4.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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AU - Chetty, Girija

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AB - In this paper we propose a novel human-identification scheme from long range gait profiles in surveillance videos. We investigate the role of multi view gait images acquired from multiple cameras, importance of infrared and visible range images in ascertaining identity, and role of soft/secondary biometric (walking style) in enhancing the accuracy and robustness of the identification systems, Experimental evaluation of several subspace based gait feature extraction approaches (PCA/LDA) and learning classifier methods (MLP/SMO) on different datasets from a publicly available gait database CASIA, show that it is possible to do large scale human identity recognition from gait information captured in multiple view-points, with multiple cameras and with usage of subtle soft/secondary biometric information

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