We introduce a parallel implementation of the histogram of oriented gradients algorithm for object detection. Our implementation uses the GPU and the NVIDIA CUDA framework. Our implementation is END to END which makes us able to get a running time improvement of 86X over the standard sequential implementation and 1.2X over fastHOG. The purpose is to implement it on OxSight SmartSpecs used by the visually impaired.

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