Multi-view Multi-modal Gait Based Human Identity Recognition from Surveillance videos

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6 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, the importance of infrared and visible range images in ascertaining identity, the impact of multimodal fusion, efficient subspace features and classifier methods, and the 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 (NB/MLP/SVM/SMO) on different datasets from a publicly available gait database CASIA, show significant improvement in recognition accuracies with multimodal fusion of multi-view gait images from visible and infrared cameras acquired from video surveillance scenarios.
Original languageEnglish
Title of host publicationMultimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
EditorsFriedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency
Place of PublicationBerling Heidelberg
PublisherSpringer
Pages88-99
Number of pages12
Volume7742
ISBN (Electronic)9783642370816
ISBN (Print)9783642370809
DOIs
Publication statusPublished - 2013
EventIAPR TC3 Workshop, MPRSS 2012, Revised Selected Papers: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - Tsukuba, Tsukuba, Japan
Duration: 11 Nov 201215 Nov 2012
http://www.icpr2012.org/ (Conference webpage)

Conference

ConferenceIAPR TC3 Workshop, MPRSS 2012, Revised Selected Papers
CountryJapan
CityTsukuba
Period11/11/1215/11/12
Internet address

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Cite this

Hossain, E., CHETTY, G., & GOECKE, R. (2013). Multi-view Multi-modal Gait Based Human Identity Recognition from Surveillance videos. In F. Schwenker, S. Scherer, & L-P. Morency (Eds.), Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction (Vol. 7742, pp. 88-99). Berling Heidelberg: Springer. https://doi.org/10.1007/978-3-642-37081-6_11