Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9iS(1)/109907
Year: 2016, Volume: 9, Issue: Special Issue 1, Pages: 1-8
Original Article
Jong Hun Park1 , Gang Seong Lee2*, Jin Soo Kim3 , Seuc Ho Ryu4 and Sang Hun Lee2
1 Department of Plasmadiodisplay, Kwangwoon University, Seoul, 01897, Korea; [email protected]
2 Ingenium College of Liberal Arts, Kwangwoon University, Seoul, 01897, Korea; [email protected], [email protected]
3 IDP System, Co. Ltd, Seoul, 07646, Korea 4 Deptartment of Game Design, Kong Ju National University, Kong Ju, 32588, Korea
*Author for correspondence
Gang Seong Lee
Ingenium College of Liberal Arts
Email: [email protected]
Background/Objectives: In this paper, a tracking method that is based on the colors and contours is proposed to obtain results that are superior to those of the traditional methods for the tracking of the objects in video. Methods/Statistical Analysis: The proposed method requires an initial conversion of the existing RGB-color-based video in the HSV color space, and a back-projection histogram in the HSV color space is used to obtain the color information of the object region that is to be tracked. The contour information is also obtained to track the target based on the Canny algorithm, whereby the moving object in the video is tracked in real time on the basis of the color and contour information. Findings: An experiment was performed wherein the proposed method was compared with the Mean-shift tracking method, the Camshaft tracking method, the Kalman-filter tracking method, and the Particle-filter tracking method in terms of the objective of this paper. The comparison showed that the proposed method is more accurate regarding the tracking of a single object in video. Improvements/Applications: This improved tracking method will be utilized in object tracking, CCTV for car tracking and HCI.
Keywords: Canny Algorithm, Contour Detection, Histogram Back-Projection, Object Tracking, RGB-to-HSV Conversion
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