Features Accumulation on a Multiple View Oriented Model for People Re-Identification

dc.contributor.author	García, Jorge	en_US
dc.contributor.author	Kambhamettu, C.	en_US
dc.contributor.author	Gardel, A.	en_US
dc.contributor.author	Bravo, I.	en_US
dc.contributor.author	Lázaro, J. L.	en_US
dc.contributor.editor	Umberto Castellani and Tobias Schreck and Silvia Biasotti and Ioannis Pratikakis and Afzal Godil and Remco Veltkamp	en_US
dc.date.accessioned	2013-09-24T12:04:09Z
dc.date.available	2013-09-24T12:04:09Z
dc.date.issued	2013	en_US
dc.identifier.isbn	978-3-905674-44-6	en_US
dc.identifier.issn	1997-0463	en_US
dc.identifier.uri	http://dx.doi.org/10.2312/3DOR/3DOR13/105-108	en_US
dc.description.abstract	People re-identification process provides relevant information in order to understand the scene. In this paper, we present a multiple-view oriented model for performing people re-identification in a camera network. An appear- ance model for different perspectives is generated from people trajectories. Global and local features besides path orientation are extracted from each person's image, given a short-term tracking. Experimental results based on different sets of features demonstrate the effectiveness of our system.	en_US
dc.publisher	The Eurographics Association	en_US
dc.subject	I.4.8 [Image Processing and Computer Vision]	en_US
dc.subject	Scene Analysis	en_US
dc.title	Features Accumulation on a Multiple View Oriented Model for People Re-Identification	en_US
dc.description.seriesinformation	Eurographics Workshop on 3D Object Retrieval	en_US
dc.description.sectionheaders	Short Papers	en_US