Skip navigation
Logo
User training | Reference and search service

Library catalog

Retrievo
EDS
b-on
More
resources
Content aggregators
Please use this identifier to cite or link to this item:

acessibilidade

http://hdl.handle.net/10071/16344
acessibilidade
Title: Gait recognition using normalized shadows
Authors: Verlekar, T. T.
Correia, P. L.
Soares, L. D.
Keywords: Shadow biometrics
Gait recognition
Issue Date: 2017
Publisher: IEEE
Abstract: Surveillance of public spaces is often conducted with the help of cameras placed at elevated positions. Recently, drones with high resolution cameras have made it possible to perform overhead surveillance of critical spaces. However, images obtained in these conditions may not contain enough body features to allow conventional biometric recognition. This paper introduces a novel gait recognition system which uses the shadows cast by users, when available. It includes two main contributions: (i) a method for shadow segmentation, which analyzes the orientation of the silhouette contour to identify the feet position along time, in order to separate the body and shadow silhouettes connected at such positions; (ii) a method that normalizes the segmented shadow silhouettes, by applying a transformation derived from optimizing the low rank textures of a gait texture image, to compensate for changes in view and shadow orientation. The normalized shadow silhouettes can then undergo a gait recognition algorithm, which in this paper relies on the computation of a gait energy image, combined with linear discriminant analysis for user recognition. The proposed system outperforms the available state-of-the-art, being robust to changes in acquisition viewpoints.
Description: WOS:000426986000189 (Nº de Acesso Web of Science)
Peer reviewed: yes
URI: https://ciencia.iscte-iul.pt/id/ci-pub-40066
http://hdl.handle.net/10071/16344
DOI: 10.23919/EUSIPCO.2017.8081345
ISBN: 978-0-9928626-7-1
ISSN: 2076-1465
Appears in Collections:IT-CRI - Comunicações a conferências internacionais

Files in This Item:
acessibilidade
File Description SizeFormat 
Gait Recognition Using Shadow Biometrics.pdfPós-print767.9 kBAdobe PDFView/Open


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Currículo DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.