Human detection plays an important role in Intelligent Video Surveillance. Real-time and accuracy are the two important capabilities in the human detection algorithm. The pedestrian detection method based on HOG feature draws many researchers' attention for its excellent results. However, due to HOG-based detection method requires large amounts of computing, it is difficult to meet the actual demand in real-time applications. This paper proposes a pedestrian detection method that is a combination of HOG detection method and Background Subtraction detection algorithm and achieves the accuracy and real-time demand. Experimental results show correctness and effectiveness of the method proposed in this paper.
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