Pedestrian Detection Based on Histograms of Oriented Gradients in ROI

Abstract:

To locate pedestrian faster and more accurately, a pedestrian detection method based on histograms of oriented gradients (HOG) in region of interest (ROI) is introduced. The features are extracted in the ROI where the pedestrian's legs may exist, which is helpful to decrease the dimension of feature vector and simplify the calculation. Then the vertical edge symmetry of pedestrian's legs is fused to confirm the detection. Experimental results indicate that this method can achieve an ideal accuracy with lower process time compared to traditional method.

• Periodical: Advanced Materials Research (Volumes 542-543)
• Pages: 937-940
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.542-543.937
• Online since: June 2012
• Authors: Ping Shu Ge, Guo Kai Xu, Xiu Chun Zhao, Peng Song, Lie Guo
• Keywords: Histograms of Oriented Gradient (HOG), Intelligent Vehicle, Pedestrian Detection, Region of Interest

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