| Paper: | IMDSP-P10.5 | ||
| Session: | Video Segmentation and Tracking | ||
| Time: | Thursday, May 18, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Video Segmentation and Tracking | ||
| Title: | IMPROVED OBJECT TRACKING WITH CAMSHIFT ALGORITHM | ||
| Authors: | Nouar Ould-Dris, Ali Ganoun, Raphael Canals, Laboratory of Electronics, Signals and Images (LESI), France | ||
| Abstract: | In this paper, we present a new object tracking approach based on the analysis of a two-dimensional image distribution histogram calculated from two colorimetric channels automatically selected on criteria of representativeness. Among the essential contributions of this work, we can quote a better modelling of the object to track and the management of the target appearance changes during the sequence. Our approach is a prolongation of the CamShift algorithm applications (Continuously Adaptive MeanShift) in order to track object presenting strong modifications of shape and luminosity. | ||
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