Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Implementation of Improved Object Detection and Tracking based on Camshift and SURF for Augmented Reality Service

증강현실 서비스를 위한 Camshift와 SURF를 개선한 객체 검출 및 추적 구현

  • Lee, Yong-Hwan (Department Of Digital Contents, Wonkwang University) ;
  • Kim, Heung-Jun (Department of Computer Science and Engineering, Gyeongnam National University of Science and Technology)
  • 이용환 (원광대학교 디지털콘텐츠공학과) ;
  • 김흥준 (경남과학기술대학교 컴퓨터공학과)
  • Received : 2017.12.27
  • Accepted : 2017.12.27
  • Published : 2017.12.31
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Abstract

Object detection and tracking have become one of the most active research areas in the past few years, and play an important role in computer vision applications over our daily life. Many tracking techniques are proposed, and Camshift is an effective algorithm for real time dynamic object tracking, which uses only color features, so that the algorithm is sensitive to illumination and some other environmental elements. This paper presents and implements an effective moving object detection and tracking to reduce the influence of illumination interference, which improve the performance of tracking under similar color background. The implemented prototype system recognizes object using invariant features, and reduces the dimension of feature descriptor to rectify the problems. The experimental result shows that that the system is superior to the existing methods in processing time, and maintains better problem ratios in various environments.

Keywords

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