Fast pedestrian detection based on region of interest and multi-block local binary pattern descriptors ?
We introduced a new ROI method, it decreases computational cost and improve detection speed. We improved the images edges within the candidate region using non-tensor product wavelet filter. We used full-body descriptor based on shapelet and body-part descriptor based on MB-LBP for features extraction. We built a cascade ILFDA classifier to handle large data.
pedestrian detection roi non-tensor product wavelet filter mb-lbp shapelet feature iflda