한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제20권7호
  • /
  • Pages.1014-1023
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  • 2017
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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Estimation of Human Height Using Downward Depth Images

  • Kim, Heung-Jun (Dept. of Computer Software Engineering, Dongeui University) ;
  • Lee, Dong-Seok (Dept. of Computer Software Engineering, Dongeui University) ;
  • Kwon, Soon-Kak (Dept. of Computer Software Engineering, Dongeui University)
  • 투고 : 2017.04.21
  • 심사 : 2017.07.04
  • 발행 : 2017.07.31
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초록

In this paper, we propose a method for estimating the human height by using downward depth images. We detect a point with the lowest depth value in an object as top of the head and estimate the height by calculating the depth difference with the floor. Since the depth of the floor varies depending on the angle of the camera, the correction formula is applied. In addition, the binarization threshold is variably applied so that height can be estimated even when several people are adjacent. Simulation results show that the proposed method has better performance than the conventional methods. The proposed method is expected to be widely used in body measurement, intelligent surveillance, and marketing.

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참고문헌

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