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http://dx.doi.org/10.3745/KTSDE.2017.6.1.9

Robust Object Tracking System Based on Face Detection  

Kwak, Min Seok (한국디지털미디어고등학교)
Publication Information
KIPS Transactions on Software and Data Engineering / v.6, no.1, 2017 , pp. 9-14 More about this Journal
Abstract
Embedded devices with the development of modern computer technology also began equipped with a variety of functions. In this study, to provide a method of tracking efficient face with a small instrument of resources, such as built-in equipment that uses an image sensor in recent years has been actively carried out. It uses a face detection method using the features of the MB-LBP in order to obtain an accurate face, specify the region (Region of Interest) around the face when the face detection for the face object tracking in the next video did. And in the video can not be detected faces, to track objects using the CAM-Shift key is a conventional object tracking method, which make it possible to retain the information without loss of object information. In this study, through the comparison with the previous studies, it was confirmed the precision and high-speed performance of the object tracking system.
Keywords
Embedded Devices; CAM-Shift; MB-LBP; ROI; Face Detection;
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