Particle filter on GPUs for real-time tracking
ESCET-URJC
In SIGGRAPH ’04: ACM SIGGRAPH 2004 Posters (2004)
In this work, we have designed and implemented a preliminary real-time particle filter algorithm that makes use of a GPU to execute the algorithm’s main performance bottleneck. Our strategy uses a texture multiplication for reducing the computational efforts generated by a sequential evaluation. This work presents some similarities with the work of [Oh and Jung 2004] applied to GPU implementation of neural networks.
November 29, 2010 by hgpu