Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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Implementation of Parallel Processing Based Pedestrian Detection Using a Modified CENTRIST Algorithm

개선된 CENTRIST 알고리즘을 적용한 병렬처리 기반 보행자 인식 구현

  • Jung, Jun-Mo (Dept. of Electronics Engineering, Seokyeong University)
  • Received : 2014.09.02
  • Accepted : 2014.09.23
  • Published : 2014.09.30
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Abstract

In this paper, we propose a parallel processing method of pedestrian detection algorithm based on ROI-CENTRIST. There is a difficulty in the real-time processing of pedestrian detection in the embedded environment, using the conventional pedestrian detection method. This problem can be solved by a parallel processing method of applying the ROI to the conventional algorithm. The proposed parallel processing method of pedestrian detection using ROI-CENTRIST show the result of 5.2 frames per second, which is about 10% improvement over the conventional pedestrian detection method based on CENTRIST.

본 논문은 ROI-CENTRIST 기반 보행자 인식 알고리즘의 병렬처리 방식을 제안한다. 기존의 보행자 인식 방식만을 이용하여 임베디드 환경에서 보행자 인식을 실시간으로 처리하기에는 어려움이 존재한다. 이러한 문제는 기존의 알고리즘에 ROI를 적용한 방식을 병렬로 처리함으로써 해결할 수 있다. 본 논문에서 제안하는 ROI-CENTRIST 기반 보행자 인식의 병렬처리 방식은 기존의 CENTRIST 기반 보행자 인식 방식보다 약 10% 향상된 5.2 fps의 성능을 보인다.

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References

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