Title :
Real-Time Implementation of Particle-PHD Filter Based on GPU
Author :
Lin Gao ; Xu Tang ; Ping Wei
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper addresses the computational problem of particle-Probability Hypothesis Density filter (P-PHDF) in multitarget tracking. A parallelization implementation scheme for P-PHDF on graphics processing unit (GPU) under the Compute Unified Device Architecture (CUDA) framework is proposed. Simulation results show that nearly 20× speedup was achieved on GPU compared to its CPU version.
Keywords :
graphics processing units; parallel architectures; particle filtering (numerical methods); probability; CPU; CUDA framework; GPU; P-PHDF; compute unified device architecture; graphics processing unit; multitarget tracking; parallelization implementation scheme; particle-probability hypothesis density filter; Clutter; Computer architecture; Estimation; Filtering algorithms; Graphics processing units; Signal processing algorithms; Target tracking; Compute Unified Device Architecture (CUDA); graphics processing unit (GPU); multitarget tracking; parallel computing; probability hypothesis density filter (PHDF);
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
DOI :
10.1109/CSE.2014.308
