Obstacle Recognition in Traffic by Adapting the HOG Descriptor and Learning in Layers (2015)
Abstract Despite many years of research, obstacle recognition is still a difficult, but very important task. We present a multi-class approach, that extracts from images the Histogram of Oriented Gradients (HOG) based on aspect ratio of Region of Interest (ROI) and use them in a multiclass classification problem. For the learning phase we propose…