Title :
Uniform sampling for multiple target tracking
Author :
Morelande, Mark R. ; Zhang, Alan
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Parkville, VIC, Australia
Abstract :
A major problem in the application of particle filters to multiple target tracking is the loss of modes due to sample degeneracy. A particle filter based on the notion of uniform sampling is developed to address this issue. The proposed particle filter approximates uniform sampling in an auxiliary variable framework. Simulation results show that the proposed method provides significantly improved mode retention compared to a particle filter using the optimal importance density.
Keywords :
particle filtering (numerical methods); target tracking; auxiliary variable framework; improved mode retention; multiple target tracking; optimal importance density; particle filters; uniform sampling; Approximation methods; Density measurement; Kernel; Noise; Numerical models; Surveillance; Target tracking; multiple target tracking; particle filtering;
Conference_Titel :
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4577-0267-9