3D Body Model Construction and Matching for Real Time People Re-Identification
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.
Citation:Baltieri, Davide; Vezzani, Roberto; Cucchiara, Rita "3D Body Model Construction and Matching for Real Time People Re-Identification" Italian Chapter Conference, Genova, pp. 65 -71 , 18-19 Nov 2010, 2010 DOI: 10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/065-071
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- DOI: 10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/065-071