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http://dx.doi.org/10.5392/JKCA.2016.16.08.395

ROI Based Object Extraction Using Features of Depth and Color Images  

Ryu, Ga-Ae (충북대학교 컴퓨터과학/디지털정보융합학과)
Jang, Ho-Wook (충북대학교 컴퓨터과학/디지털정보융합학과)
Kim, Yoo-Sung (인하대학교 정보통신공학부)
Yoo, Kwan-Hee (충북대학교 소프트웨어학과)
Publication Information
The Journal of the Korea Contents Association / v.16, no.8, 2016 , pp. 395-403 More about this Journal
Abstract
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.
Keywords
Object Extraction; Codebook; Feature Point;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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