tailieunhanh - Real time pedestrian detection using motion segmentation and cascade adaboost classifier

In this paper, we take advantage of Background Subtraction (BS) technique to extract moving objects region on whole natural scene images in complicated environments. Then, Haar-like or Histograms of Oriented Gradients (HOG) features are used to classify the detected moving objects to the categories they belong to. | Real time pedestrian detection using motion segmentation and cascade adaboost classifier