Title :
Bayesian GOETHE Tracking
Author :
Wirkert, Sebastian ; Dellandréa, Emmanuel ; Chen, Liming
Author_Institution :
LIRIS, Ecole Centrale de Lyon, Lyon, France
Abstract :
Occlusions pose serious challenges when tracking multiple targets. By severly changing the measurement, they imply strong inter-target dependencies. Exact computation of these dependencies is not feasible. The GOETHE approximations preserve much of the information while staying computationally affordable.
Keywords :
belief networks; particle filtering (numerical methods); target tracking; GOETHE approximations; bayesian GOETHE tracking; multiple target tracking; occlusions pose; particle filter; Approximation methods; Bayesian methods; Computational modeling; Joints; Pixel; Target tracking; Videos; Bayes filter; multi-target tracking; occlusion; particle filter;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.511
