Pedestrian detection method of vision based on HOG features
Zhaozhuang Guo · Transducer and Microsystem Technologies · 2011
Pedestrian detection is intensively investigated and becoming a hot topic in the field of computer vision.By making use of monocular vision detector as the main mean of catching outside environmental information,a pedestrian detection system including segmenting of regions of interests(RoIs)and recognizing detection system is built.According to the particular characteristic of pedestrian,based on pedestrian segmenting method grounding on vertical edge and the symmetry property of it,and the pedestrian is accurately located and segmented from the video image.In the recognition process,HOG feature extraction method is produced to extract pedestrian features and a linear support vector machine(SVM)is used for pedestrian recognition.A large number of tests at different kinds of weather and scenes are carried out.Experimental results show that the pedestrian detection algorithm has effective performance.