earticle

논문검색

Emergency Detection Method using Motion History Image for a Video-based Intelligent Security System

초록

영어

This paper proposed a method that detects emergency situations in a video stream using MHI (Motion History Image) and template matching for a video-based intelligent security system. The proposed method creates a MHI of each human object through image processing technique such as background removing based on GMM (Gaussian Mixture Model), labeling and accumulating the foreground images, then the obtained MHI is compared with the existing MHI templates for detecting an emergency situation. To evaluate the proposed emergency detection method, a set of experiments on the dataset of video clips captured from a security camera has been conducted. And we successfully detected emergency situations using the proposed method. In addition, the implemented system also provides MMS (Multimedia Message Service) so that a security manager can deal with the emergency situation appropriately.

목차

Abstract
 1. INTRODUCTION
 2. EMERGENCY DETECTION METHOD USING MHI
 3. EXPERIMENTAL RESULT
 4. CONCLUSION
 ACKNOWLEDGMENT
 REFERENCES

저자정보

  • Jun Lee Dept. of Intelligent Robot Engineering, Mokwon University, Korea
  • Se-Jong Lee Dept. of Intelligent Robot Engineering, Mokwon University, Korea
  • Jeong-Sik Park Dept. of Intelligent Robot Engineering, Mokwon University, Korea
  • Yong-Ho Seo Dept. of Intelligent Robot Engineering, Mokwon University, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.
      ※ 학술발표대회집, 워크숍 자료집 중 4페이지 이내 논문은 '요약'만 제공되는 경우가 있으니, 구매 전에 간행물명, 페이지 수 확인 부탁 드립니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.