Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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A Speed-up Method of Pedestrian Detection in Realtime Image

실시간 영상에서의 보행자 검출 고속화 방법

  • Lee, Yun-Gu (Dept. of Computer Engineering, Hanbat University) ;
  • Lee, Jae-Heung (Dept. of Computer Engineering, Hanbat University)
  • Received : 2015.03.27
  • Accepted : 2015.04.29
  • Published : 2015.06.30
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Abstract

In this paper, we propose a method for pedestrian detection in real time video and reducing the calculation time of the HOG features for pedestrian detection. When the pedestrian is detected in real-time image, the next frame is detected by using a previously detected region information. In addition, we used a PSO to detect a pedestrian may appear in a region other than a pedestrian is detected quickly. the performance was measured for MIT, INRIA dataset, showed a performance increase of about 82% than the conventional method.

본 논문에서는 실시간 영상에서 보행자 검출 속도를 빠르게 하는 방법을 제안한다. 보행자 검출에 사용되는 HOG 특징을 빠르게 계산하고, 실시간 영상에서 검출 속도를 향상시키기 위한 방법을 제안한다. 실시간 영상에서 최초 보행자가 검출되면 그 다음 프레임에서는 이전 프레임의 검출정보를 이용하여 보행자가 존재할 가능성이 높은 영역에 대해서만 검출을 시도한다. 추가적으로 이전프레임에서 보행자가 검출되지 않은 영역에서 나타나는 보행자를 빠르게 검출하기 위해 PSO를 사용하였다. MIT, INRIA 데이터 셋에 대해서 성능을 측정하였고, 제안한 방법을 적용하여 기존의 방법보다 82%의 성능 향상을 보였다.

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References

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