ROI Based Object Extraction Using Features of Depth and Color Images

깊이와 칼라 영상의 특징을 사용한 ROI 기반 객체 추출

  • 류가애 (충북대학교 컴퓨터과학/디지털정보융합학과) ;
  • 장호욱 (충북대학교 컴퓨터과학/디지털정보융합학과) ;
  • 김유성 (인하대학교 정보통신공학부) ;
  • 류관희 (충북대학교 소프트웨어학과)
  • Received : 2016.03.28
  • Accepted : 2016.07.26
  • Published : 2016.08.28


Recently, Image processing has been used in many areas. In the image processing techniques that a lot of research is tracking of moving object in real time. There are a number of popular methods for tracking an object such as HOG(Histogram of Oriented Gradients) to track pedestrians, and Codebook to subtract background. However, object extraction has difficulty because that a moving object has dynamic background in the image, and occurs severe lighting changes. In this paper, we propose a method of object extraction using depth image and color image features based on ROI(Region of Interest). First of all, we look for the feature points using the color image after setting the ROI a range to find the location of object in depth image. And we are extracting an object by creating a new contour using the convex hull point of object and the feature points. Finally, we compare the proposed method with the existing methods to find out how accurate extracting the object is.


Supported by : 충북대학교


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