Title :
Appraisal of an enhanced Particale Filter for object tracking
Author :
El-Halym, H.A.A. ; Mahmoud, Imbaby I. ; AbdelTawab, A. ; Habib, S.E.-D.
Author_Institution :
Nucl. Res. Center, Atomic Energy Authority, UK
Abstract :
An enhanced particle Filter (PF) is introduced for object tracking. In this work, a new likelihood model is proposed. It depends on multiple of likelihood functions: position likelihood; gray level intensity likelihood; and similarity likelihood. Also, it combines information about the tracked object to get a robust and an accurate tracking performance. The proposed enhanced PF is implemented and evaluated. Its results are compared with a single likelihood function PF tracker, as well as, a correlation tracker and an edge tracker. The experimental results demonstrate the superior performance of the proposed tracker in terms of accuracy, robustness and occlusion compared with other methods.
Keywords :
hidden feature removal; image colour analysis; object detection; particle filtering (numerical methods); tracking; enhanced particle filter; gray level intensity likelihood; likelihood model; object tracking; occlusion; position likelihood; similarity likelihood; Appraisal; Filtering; Histograms; Mathematical model; Object detection; Particle filters; Particle tracking; Power engineering and energy; Robustness; Signal processing algorithms;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413536