GPU-Supported Object Tracking Using Adaptive Appearance Models and Particle Swarm Optimization
نویسندگان
چکیده
This paper demonstrates how CUDA-capable Graphics Processor Unit can be effectively used to accelerate a tracking algorithm based on adaptive appearance models. The object tracking is achieved by particle swarm optimization algorithm. Experimental results show that the GPU implementation of the algorithm exhibits a more than 40-fold speed-up over the CPU implementation.
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تاریخ انتشار 2010