3D Body Model Construction and Matching for Real Time People Re-Identification
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Wide area video surveillance always requires to extract and integrate information coming from different cameras and views. Re-identification of people captured from different cameras or different views is one of most challenging problems. In this paper, we present a novel approach for people matching with vertices-based 3D human models. People are detected and tracked in each calibrated camera, and their silhouette, appearance, position and orientation are extracted and used to place, scale and orientate a 3D body model. Colour features are computed from the 2D appearance images and mapped to the 3D model vertices, generating the 3D model for each tracked person. A distance function between 3D models is defined in order to find matches among models belonging to the same person. This approach achieves robustness against partial occlusions, pose and viewpoint changes. A first experimental evaluation is conducted using images extracted from a real camera set-up.
Description
@inproceedings{:10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/065-071,
booktitle = {Eurographics Italian Chapter Conference 2010},
editor = {Enrico Puppo and Andrea Brogni and Leila De Floriani},
title = {{3D Body Model Construction and Matching for Real Time People Re-Identification}},
author = {Baltieri, Davide and Vezzani, Roberto and Cucchiara, Rita},
year = {2010},
publisher = {The Eurographics Association},
ISBN = {978-3-905673-80-7},
DOI = {/10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/065-071}
}