Title :
Occlusion-handling for improved particle filtering-based tracking
Author :
Canals, Raphael ; Ganoun, Ali ; Leconge, Remy
Author_Institution :
PRISME Inst., Univ. of Orleans, Orleans, France
Abstract :
One of the particle filtering uses is object tracking since this technique permits to deal with uncertainty over time met in real time image sequences framework. This uncertainty is as much non-manageable that an object occlusion appears in images. In this paper, we propose an occlusion-handling scheme which significantly improves the tracking performance in presence of partial occlusion. The proposed technique is applied to track a single object in real greyscale image sequences. Results confirm tracking performance enhancement.
Keywords :
image filtering; image sequences; object tracking; particle filtering (numerical methods); tracking filters; greyscale image sequence; object occlusion-handling scheme; particle filtering-based object tracking; Abstracts; Conferences;
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7