Earticle

초록

영어

For moving objects detection, a background subtraction algorithm based on adaptive Gaussian mixture model is proposed in order to extract moving regions. The OTSU algorithm is researched in order to adapt to the changes in the background images; In order to accelerate model updating rate, a novel mechanism is the combination of expected sufficient statistics and L-recent window.

목차

Abstract
 1. Introduction
 2 The Traditional Detection Method
  2.1 Optical Flow
  2.2 Frame Subtraction
  2.3 Background Subtraction
 3. The Proposed Motion Object Detection Method
  3.1 Create Background Model with GMM
  3.2 Background Updating Criteria
  3.3 Selection of OTSU Threshold
  3.4 Analysis of Connected Areas
 4. Experimental Analysis and Results
  4.1 Detection of Motion Targets
  4.2 Evaluation of Quality
 5. Conclusion
 References

키워드

저자

• Gang Liu [ Physical Education Department, Harbin Engineering University, Harbin 150000, China ]
• Yang Liu [ Harbin Sport University, Harbin 150001, China ]
• Yang Wang [ Physical Education Department, Harbin Engineering University, Harbin 150000, China ]
• Jingmeng Sun [ Physical Education Department, Harbin Engineering University, Harbin 150000, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605