Features Accumulation on a Multiple View Oriented Model for People Re-Identification
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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.
BibTeX
@inproceedings {10.2312:3DOR:3DOR13:105-108,
booktitle = {Eurographics Workshop on 3D Object Retrieval},
editor = {Umberto Castellani and Tobias Schreck and Silvia Biasotti and Ioannis Pratikakis and Afzal Godil and Remco Veltkamp},
title = {{Features Accumulation on a Multiple View Oriented Model for People Re-Identification}},
author = {García, Jorge and Kambhamettu, C. and Gardel, A. and Bravo, I. and Lázaro, J. L.},
year = {2013},
publisher = {The Eurographics Association},
ISSN = {1997-0463},
ISBN = {978-3-905674-44-6},
DOI = {10.2312/3DOR/3DOR13/105-108}
}
booktitle = {Eurographics Workshop on 3D Object Retrieval},
editor = {Umberto Castellani and Tobias Schreck and Silvia Biasotti and Ioannis Pratikakis and Afzal Godil and Remco Veltkamp},
title = {{Features Accumulation on a Multiple View Oriented Model for People Re-Identification}},
author = {García, Jorge and Kambhamettu, C. and Gardel, A. and Bravo, I. and Lázaro, J. L.},
year = {2013},
publisher = {The Eurographics Association},
ISSN = {1997-0463},
ISBN = {978-3-905674-44-6},
DOI = {10.2312/3DOR/3DOR13/105-108}
}