Title :
A dynamic model integrating colour and shape information for objects tracking in conditions of occlusion
Author :
Marchesotti, L. ; Piva, S. ; Regazzoni, C.S.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Univ. of Genoa, Genova
Abstract :
In this paper, an algorithm for tracking multiple rigid and non-rigid objects in conditions of occlusion is presented. The proposed method is based on a scalable and adaptive model based on joint information of color and shape. Through a GHT (generalized Hough transform) based voting method the center of mass of each object can be determined in real time with a good degree of precision. Quantitative and qualitative results are presented to validate the efficiency of the method
Keywords :
Hough transforms; image colour analysis; image sequences; object detection; tracking; video signal processing; GHT based voting; center of mass; colour information; dynamic model; generalized Hough transform; nonrigid objects; object tracking; occlusion; rigid objects; scalable adaptive model; shape information; video sequence; Assembly; Data mining; Image sequence analysis; Object detection; Robustness; Shape; Target tracking; Vehicle dynamics; Video sequences; Voting;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394542
