The histogram of oriented gradients (HOG) is a widely used feature descriptor in computer vision for the purpose of object detection. In the paper, a modified HOG descriptor is described, it uses a lookup table and the method of integral image to speed up the detection performance by a factor of 5~10. By exploiting the special hardware features of a given platform(e.g. a digital signal processor), further improvement can be made to the HOG descriptor in order to have real-time object detection and tracking.
@article{arxiv.1703.06256,
title = {A Fast HOG Descriptor Using Lookup Table and Integral Image},
author = {Chunde Huang and Jiaxiang Huang},
journal= {arXiv preprint arXiv:1703.06256},
year = {2017}
}