Title :
A robust method for 3D hand tracking using histogram of gradients and particle filter
Author_Institution :
IBISC Lab., Univ. of Evry, Evry, France
Abstract :
This work deals with 3D hand tracking in cluttered background which is an important task in human computer interaction and non intrusive marketing behavior. In this paper a particle filter framework is proposed to integrate gradient distributions and image observations in order to estimate the 3D position of hand from monocular image sequences. Extensive experiments have bee carried out to demonstrate the efficiency and the robustness of our approach.
Keywords :
gradient methods; human computer interaction; image sequences; object tracking; particle filtering (numerical methods); 3D hand tracking; cluttered background; gradient distributions; histogram of gradients; human computer interaction; image observations; monocular image sequences; nonintrusive marketing behavior; particle filter framework; robust method; Computational modeling; Histograms; Particle filters; Real time systems; Robustness; Solid modeling; Tracking;
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-1968-4
DOI :
10.1109/ICIAS.2012.6306214
