Earticle

초록

영어

The detection of moving object is the hot topic of computer vision research. In this paper, we propose a new method to detect moving object in surveillance video based on the visual features of frog eyes. The method used the principle of entropy which derived from information theory. First, we filtering out the noise and some unnecessary information in the frame images sequence used smoothing filter; Second, detecting the edge point of the smoothed image obtained in the first step by Canny operator; At last, spatial-temporal sliding windows are built for each edge point, then calculating the entropy of spatial-temporal windows and comparing the value in adjacent frames, in which the difference exceeds a certain intensity is considered as a part of moving object. Experimental results show that the proposed method can detect the edge of moving object effectively and has lower computational complexity.

목차

Abstract
 1. Introduction
 2. The Features of Frog Vision
 3. Related Algorithm
  3.1. Smoothing Filter
  3.2. Edge Detection Operator
  3.3. Spatial-temporal entropy
 4. The Proposed Method
  4.1. Steps of the Algorithm
  4.2. Canny Edge Detection
  4.3. Spatial-temporal Entropy
 5. Experimental Results
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Zhi-yong Li [ College of Information Science and Engineering, Hunan University ] Corresponding Author
• Zhen Jiang [ College of Information Science and Engineering, Hunan University ]
• Jun-min Liu [ College of Information Science and Engineering, Hunan University ]
• Chao Chen [ College of Information Science and Engineering, Hunan University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605