Title :
Tracking system using CamShift and feature points
Author :
Ganoun, Ali ; Ould-Dris, Nouar ; Canals, Raphael
Author_Institution :
Lab. of Electron., Signals & Images (LESI), Univ. of Orleans, Orleans, France
Abstract :
In this paper, we present a new object tracking approach in grey-level image sequences. The method is based on the analysis of the histogram of distribution of the image and the feature points of the object. Among the essential contributions of this work, we can quote a better modelling of the object to track and the consideration of the target appearance changes during the sequence. Our approach is a prolongation of the CamShift algorithm (Continuously Adaptive MeanShift) applications. The goal is to widen the field of application of this algorithm in order to adapt it to grey-level image sequences presenting strong modifications of shape, luminosity and grey-level values.
Keywords :
feature extraction; image sequences; object tracking; CamShift algorithm; continuously adaptive meanshift; feature points; grey-level image sequences; grey-level values; image distribution; luminosity; object tracking approach; target appearance; tracking system; Abstracts; Adaptation models; Target tracking;
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence