earticle

논문검색

Moving Object Detection Based on Improved ViBe Algorithm

초록

영어

In this paper, an improved ViBe background subtraction algorithm is proposed for dealing with ghost problem during the process of moving object detection. The ghost areas in image can be detected based on the theory that the histogram distributions of ghost areas have similarity distribution characteristics. However, the histogram distributions of real moving objects change with the real objects moving. The influence of ghost areas on moving object detection is eliminated. The improved ViBe, the original ViBe and the Gauss mixture model are compared and analyzed, The results show that the improved ViBe can effectively eliminate ghost areas, and has high real-time.

목차

Abstract
 1. Introduction
 2. ViBe Algorithm Theory
  2.1. Background Model Establishment
  2.2. Pixel Classification
  2.3. Background Model Update
 3. Improved ViBe
 4. Calculation and Analysis
  4.1. Comparison of Original ViBe and Improved ViBe
  4.2. Efficiency Comparison
 5. Conclusion
 References

저자정보

  • Gu Bo School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou, China
  • Song Kefeng School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou, China
  • Qiu Daoyin School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou, China
  • Zhang Hongtao School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.