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.

3D Body Model Construction and Matching for Real Time People Re-Identification / Baltieri, Davide; Vezzani, Roberto; Cucchiara, Rita. - STAMPA. - (2010), pp. 65-71. ((Intervento presentato al convegno Italian Chapter Conference tenutosi a Genova nel 18-19 Nov 2010 [10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/065-071].

3D Body Model Construction and Matching for Real Time People Re-Identification

BALTIERI, DAVIDE;VEZZANI, Roberto;CUCCHIARA, Rita
2010

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.
Italian Chapter Conference
Genova
18-19 Nov 2010
65
71
Baltieri, Davide; Vezzani, Roberto; Cucchiara, Rita
3D Body Model Construction and Matching for Real Time People Re-Identification / Baltieri, Davide; Vezzani, Roberto; Cucchiara, Rita. - STAMPA. - (2010), pp. 65-71. ((Intervento presentato al convegno Italian Chapter Conference tenutosi a Genova nel 18-19 Nov 2010 [10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/065-071].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/648393
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