Abstract. We propose a new simplified 3D body model (called Sarc3D) for surveillance application, that can be created, updated and compared in rea-time. 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. Foreach vertex of the model a signature (color features, reliability and saliency) is computed from the 2D appearance images and exploited for mathing. This approach achieves robustness against partial occlusions, pose and viewpoint changes. The complete proposal and a full experimental evaluation is presented, using a new benchmark suite and the PETS2009 dataset.
Baltieri et al. REF propose a new simplified 3D body model computed from 2D person images detected and tracked in each calibrated camera.
SARC3D: a new 3D body model for people tracking and re-identification
ICIAP
Computer Science