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http://dx.doi.org/10.5370/KIEEP.2015.64.3.193

Pedestrian Detection using HOG Feature and Multi-Frame Operation  

Seo, Chang-jin (Dept. of National Defense Intelligence Engineering, Sangmyung University)
Ji, Hong-il (Dept. of Automotive Software, YoungDong University)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.64, no.3, 2015 , pp. 193-198 More about this Journal
Abstract
A large number of vision applications rely on matching keypoints across images. Pedestrian detection is under constant pressure to increase both its quality and speed. Such progress allows for new application. A higher speed enables its inclusion into large systems with extensive subsequent processing, and its deployment in computationally constrained scenarios. In this paper, we focus on improving the speed of pedestrian detection using HOG(histogram of oriented gradient) and multi frame operation which is robust to illumination changes in cluttering images. The result of our simulation indicates that the detection rate and speed of the proposed method is much faster than that of conventional HOG and differential images.
Keywords
HOG; Object detection; Object tracking; Background image;
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