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. The proposed fusion method achieves a speedup of at least compared to conventional approaches based on Haar-Like and HOG descriptors only for high resolution images (768 x 576), with detection rate of and a minor false detection rate of . |