Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Auto-Detection Algorithm of Gait's Joints According to Gait's Type

보행자 타입에 따른 보행자의 관절 점 자동 추출 알고리즘

  • Kwak, Nae-Joung (Dept. of Information & Communication Eng., Chungbuk National University) ;
  • Song, Teuk-Seob (Div. of Convergence Computer and Media, Mokwon University)
  • Received : 2017.01.04
  • Accepted : 2017.11.09
  • Published : 2018.03.31
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Abstract

In this paper, we propose an algorithm to automatically detect gait's joints. The proposed method classifies gait's types into front gait and flank gait so as to automatically detect gait's joints. And then according to classified types, the proposed applies joint extracting algorithm to input images. Firstly, we split input images into foreground image using difference images of Hue and gray-scale image of input and background one and extract gait's object. The proposed method classifies gaits into front gait and flank gait using ratio of Face's width to torso's width. Then classified gait's type, joints are detected 10 at front gait and detected 7~8 at flank gait. The proposed method is applied to the camera's input and the result shows that the proposed method automatically extracts joints.

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References

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