Title :
Object tracking in complex scenes by means of the correspondence based method
Author :
Franchi, G. ; Gamba, Paolo ; Marazzi, A. ; Mecocci, A.
Author_Institution :
Dipartimento di Ingegneria Elettronica, Pavia Univ., Italy
Abstract :
The problem of tracking targets in complex scenes can be solved with correspondence based methods by finding out an appropriate set of features for the identification of targets in motion, establishing a correspondence between the representation of the same objects at subsequent times by feature matching, tracking the target motion behaviour (history) in time. The authors propose a new solution to this problem for a nonmodel based system of tracking. The system presented is able to localize and to track a generic target in motion in a real scene without any information about it
Keywords :
feature extraction; identification; image matching; motion estimation; target tracking; tracking; complex scenes; correspondence based method; feature matching; generic target localisation; moving target identification; nonmodel based tracking system; object representation; object tracking; real scene; target motion behaviour; target tracking; Costs; Filtering; Layout; Low pass filters; Pattern recognition; Pixel; Target tracking; Tiles; Tires; Vehicles;
Conference_Titel :
Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
Conference_Location :
Bari
Print_ISBN :
0-7803-3109-5
DOI :
10.1109/MELCON.1996.551398