KSII Transactions on Internet and Information Systems (TIIS)

  • 제11권6호
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  • Pages.3104-3120
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  • 2017
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Human Tracking Based On Context Awareness In Outdoor Environment

  • Binh, Nguyen Thanh (Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, VNU-HCM) ;
  • Khare, Ashish (Department of Electronics and Communication University of Allahabad) ;
  • Thanh, Nguyen Chi (Faculty of Electronics and Computer Science Engineering Cao Thang Technical College)
  • 투고 : 2016.05.10
  • 심사 : 2017.03.30
  • 발행 : 2017.06.30
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초록

The intelligent monitoring system has been successfully applied in many fields such as: monitoring of production lines, transportation, etc. Smart surveillance systems have been developed and proven effective in some specific areas such as monitoring of human activity, traffic, etc. Most of critical application monitoring systems involve object tracking as one of the key steps. However, task of tracking of moving object is not easy. In this paper, the authors propose a method to implement human object tracking in outdoor environment based on human features in shearlet domain. The proposed method uses shearlet transform which combines the human features with context-sensitiveness in order to improve the accuracy of human tracking. The proposed algorithm not only improves the edge accuracy, but also reduces wrong positions of the object between the frames. The authors validated the proposed method by calculating Euclidean distance and Mahalanobis distance values between centre of actual object and centre of tracked object, and it has been found that the proposed method gives better result than the other recent available methods.

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참고문헌

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