Commenced in January 2007
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Human Detection using Projected Edge Feature

Authors: HernSoo Hahn, Jaedo Kim, Youngjoon Han

Abstract:

The purpose of this paper is to detect human in images. This paper proposes a method for extracting human body feature descriptors consisting of projected edge component series. The feature descriptor can express appearances and shapes of human with local and global distribution of edges. Our method evaluated with a linear SVM classifier on Daimler-Chrysler pedestrian dataset, and test with various sub-region size. The result shows that the accuracy level of proposed method similar to Histogram of Oriented Gradients(HOG) feature descriptor and feature extraction process is simple and faster than existing methods.

Keywords: linear SVM, human detection, Projected edge descriptor, Local appearance feature

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334273

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