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

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

803

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560859

Filename

560859