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

The Korean Institute of Electrical Engineers (대한전기학회)
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Pedestrian Detection using RGB-D Information and Distance Transform

RGB-D 정보 및 거리변환을 이용한 보행자 검출

  • Lee, Ho-Hun (School of Electronics Engineering, Chungbuk National University) ;
  • Lee, Dae-Jong (School of Electronics Engineering, Chungbuk National University) ;
  • Chun, Myung-Geun (School of Electronics Engineering, Chungbuk National University)
  • Received : 2016.02.10
  • Accepted : 2016.02.24
  • Published : 2016.03.01
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Abstract

According to the development of depth sensing devices and depth estimation technology, depth information becomes more important for object detection in computer vision. In terms of recognition rate, pedestrian detection methods have been improved more accurately. However, the methods makes slower detection time. So, many researches have overcome this problem by using GPU. Here, we propose a real-time pedestrian detection algorithm that does not rely on GPU. First, the depth-weighted distance map is used for detecting expected human regions. Next, human detection is performed on the regions. The performance for the proposed approach is evaluated and compared with the previous methods. We show that proposed method can detect human about 7 times faster than conventional ones.

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References

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