TED: A Texture-Edge Descriptor based on LBP for pedestrian detection

This paper presents a novel texture-edge descriptor, TED, for background modeling and pedestrian detection in video sequences which models texture and edge information of each image block simultaneously. Each image block is modeled as a group of adaptive TED histograms that are calculated for pixels of block over a rectangular neighborhood. TED is an 8-bit binary number which is independent of the neighborhood size. Experimental results over real-world sequences from PETS database clearly show the better performance of our method.