Probabilistic Multi-Person Tracking by Using Relative Position Measurements with Occlusion Reasoning
Kanji Tanaka, Yoshihiko Kimuro, Nobuhiro Okada, Eiji Kondo · TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C · 2007
A problem of probabilistic vision-based multi-person tracking with a monocular camera in a cluttered office environment is addressed. In such a case, it is often difficult to obtain reliable measurements of the absolute position of a person on the floor plane due to the inherent uncertainty in depth. To deal with this problem, a novel measurement technique based on occlusion reasoning is proposed and combined with a standard particle filtering technique. This technique is based on the relative position of a person with respect to background objects. The effectiveness of the proposed technique is investigated in an experiment where two persons overlap on the image plane.