Ecole d'ingénieur et centre de recherche en Sciences du numérique

Cap detection for moving people in entrance surveillance

Min, Rui; Dugelay, Jean-Luc

MM 2011, 19th ACM International Conference on Multimedia, 28 November-1 December, 2011, Scottsdale, USA

While there has been an enormous amount of research on face recognition under pose/illumination changes and image degradations, problems caused by occlusions are mostly overlooked. Moreover, most of the existing approaches of face recognition under occlusion conditions focus on overcoming facial occlusion problems due to sunglasses and scarf. To the best of our knowledge, occlusion due to cap has never been studied in the literature, but the importance of this problem should be emphasized since it is known that bank robbers and football hooligans take advantage of it for hiding their faces. This paper presents a solution to this newly identified face occlusion problem - the time-variant occlusion due to cap in entrance surveillance, in the context of face biometrics in video surveillance. The proposed approach consists of two parts: detection and tracking of occluded faces in complex surveillance videos; detecting the presence of cap by exploiting temporal information. The detection and tracking part is based upon body silhouette and elliptical head tracker. The classification of cap/non-cap faces utilizes dynamic time warping (DTW) and agglomerative hierarchical clustering. The proposed algorithm is evaluated on several surveillance videos and yields good detection rates.        

Document Doi Bibtex

Titre:Cap detection for moving people in entrance surveillance
Mots Clés:Entrance surveillance, face recognition, occlusion detection, security management.
Type:Conférence
Langue:English
Ville:Scottsdale
Pays:ÉTATS-UNIS
Date:
Département:Sécurité numérique
Eurecom ref:3453
Copyright: © ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in MM 2011, 19th ACM International Conference on Multimedia, 28 November-1 December, 2011, Scottsdale, USA http://dx.doi.org/10.1145/2072298.2071987
Bibtex: @inproceedings{EURECOM+3453, doi = {http://dx.doi.org/10.1145/2072298.2071987}, year = {2011}, title = {{C}ap detection for moving people in entrance surveillance }, author = {{M}in, {R}ui and {D}ugelay, {J}ean-{L}uc}, booktitle = {{MM} 2011, 19th {ACM} {I}nternational {C}onference on {M}ultimedia, 28 {N}ovember-1 {D}ecember, 2011, {S}cottsdale, {USA}}, address = {{S}cottsdale, {\'{E}}{TATS}-{UNIS}}, month = {11}, url = {http://www.eurecom.fr/publication/3453} }
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