Title :
Motion characterization of unrigid objects by detecting and tracking feature points
Author :
Fayolle, Jacques ; Ducottet, Christophe ; Fournel, Thierry ; Schon, Jean-paul
Author_Institution :
Univ. Jean Monnet, CNRS, St. Etienne, France
Abstract :
A new algorithm to determine the motion of unnrigid objects like smoke clouds is presented. It consists of two parts. The first one is the localisation of edges and feature points along them. The wavelet transform is used for each of these localisations. The determination of feature points is done through the characterisation of a quantity related to Lipschitz exponents. The second part is the tracking of the set of feature points obtained over an image sequence. We introduce a method which uses the gradient phase as characteristic to be tracked. Experimental results are presented to demonstrate the efficiency of the algorithm
Keywords :
edge detection; feature extraction; image sequences; motion estimation; smoke; tracking; wavelet transforms; Lipschitz exponents; algorithm efficiency; edge localisation; experimental results; feature point localisation; feature points detection; feature points tracking; gradient phase; image sequence; motion characterization; smoke clouds; unrigid objects; wavelet transform; Clouds; Computer vision; Detectors; Image edge detection; Motion detection; Object detection; Robustness; Shape; Tracking; Wavelet transforms;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560859
