Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CSE.2014.308 | C3S2E |
Keywords | Field | DocType |
graphics processing unit,particle filtering (numerical methods),multitarget tracking,probability hypothesis density filter (phdf),gpu,particle-probability hypothesis density filter,p-phdf,parallel architectures,graphics processing units,graphics processing unit (gpu),compute unified device architecture,compute unified device architecture (cuda),parallelization implementation scheme,cpu,parallel computing,cuda framework,probability,clutter,estimation,computer architecture | Computational problem,Computer science,Clutter,CUDA,Parallel computing,Graphics processing unit,Signal processing algorithms,Speedup | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||