전기학회논문지P (The Transactions of the Korean Institute of Electrical Engineers P)

  • 제64권3호
  • /
  • Pages.193-198
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  • 2015
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  • 1229-800X(pISSN)
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  • 2586-7792(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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HOG 특징과 다중 프레임 연산을 이용한 보행자 탐지

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)
  • 투고 : 2015.08.03
  • 심사 : 2015.08.18
  • 발행 : 2015.09.01
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초록

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.

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참고문헌

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