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논문검색

A New Method for Trip-line Detection in Surveillance Video

초록

영어

Trip-line detection is one of the very important research topics of intelligent monitoring category. This paper will present a trip-line detection system. In our trip line detection algorithm, Gauss model is used to model background, background differencing is used to detect object. Scanning the set of points on the line, if object is cross the line, for double-direction trip-line detection system directly alerts, but for single-direction trip-line detection, the moving direction of the object must be analyzed first. If the moving direction of the object violate passing rule, system directly alerts.

목차

Abstract
 1. Introduction
 2. The Architecture of the Proposed System
 3. Target Detection
  3.1. Gaussian Mixture Models (GMM)
  3.2. Background Differencing
 4. Remove the Sadow
 5. Cross the Trip-Line Detection
 6. Trip-line Event Detection
  6.1. Target Matching
  6.2. The Direction of Target
 7. Experimental results
  7.1. Single-direction Trip-Line Detection
  7.2. Double-Direction Trip-Line Detection
 8. Conclusions
 Acknowledgements
 References

저자정보

  • ZuKuan WEI Cloud Computing Research Department, ETRI, Daejeon 305-700, Korea, College of Computer Science & Engineering,UESTC,ChengDu 611-731, P.R. China
  • NaChen College of Computer Science & Engineering,UESTC,ChengDu 611-731, P.R. China
  • YoungHwan OH Dept. of Info & Comm, Korea Nazarene Univ, Cheonan, 331-718, Korea
  • HongYeon KIM Cloud Computing Research Department, ETRI, Daejeon 305-700, Korea
  • JaeHong KIM Dept. of Computer & Info. Engi, YoungDong Univ, Chungbuk, 370-701, Korea

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