HOG algorithm simplification and its impact on FPGA implementation: With applications in car detection

In this paper we propose and investigate some simplifications to the original Histogram of Oriented Gradients (HOG) algorithm, in order to allow a more efficient hardware implementation, while keeping the overall classification accuracy. The most aggressive simplification is the removal of the bin interpolation step in the algorithm, which does not affect the classification performance, but significantly reduces the FPGA area, which finally allows more parallelism and hence a faster processing speed of a full image.