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논문검색

A Survey of Video Object Tracking

원문정보

Meng Li, Chuliang Wei, Ye Yuan, Zemin Cai

보안공학연구지원센터(IJCA) International Journal of Control and Automation Vol.8 No.9 2015.09 pp.303-312
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초록

영어

Due to the numerous important applications of video surveillance and monitoring, video object tracking has been an active research topic in the last decade. This paper makes a survey of approaches to high quality object tracking by looking at theoretical backgrounds and practical results, which are categorized into four groups. The principle, the evolution processes and the latest progresses of these approaches are identified to form a conclusion for future directions of object tracking algorithms.

목차

Abstract
 1. Introduction
 2. Video Objec t Tracking Algorithms
  2.1. Matching-Based Tracking
  2.2. Filtering-Based Tracking
  2.3. Class-Based Tracking
  2.4. Fusion-Based Tracking
 3. Conclusion
 Acknowledgements
 References

키워드

저자정보

  • Meng Li Department of Electronic Engineering, College of Engineering, Shantou University, China, Guangdong Provicial Key Laboratory of Digital Signal and Image Processing Techniques, China
  • Chuliang Wei Department of Electronic Engineering, College of Engineering, Shantou University, China, Guangdong Provicial Key Laboratory of Digital Signal and Image Processing Techniques, China
  • Ye Yuan Department of Electronic Engineering, College of Engineering, Shantou University, China, Guangdong Provicial Key Laboratory of Digital Signal and Image Processing Techniques, China
  • Zemin Cai Department of Electronic Engineering, College of Engineering, Shantou University, China, Guangdong Provicial Key Laboratory of Digital Signal and Image Processing Techniques, China

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