지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2014 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.6 No.1
- 발행연도
- 2014.6
- 수록면
- 105 - 108 (4page)
이용수
초록· 키워드
오류제보하기
This paper proposes a human action recognition algorithm which can be efficiently applied to a real-time intelligent surveillance system. This method models the background image or video stream, obtains the difference image between input image and the modeled background image, extracts the silhouette of human object from input the image, and recognizes human actions. In order to recognize human actions, the proposed method uses direction vector of movement and link codes of movement dependent histograms (LCMDH). Human actions are classified into walking, sitting, standing up, and unusual actions (falling down and fainting. According to the test results the proposed algorithm efficiently classified human actions, detected unusual actions, and provided an alarm service.
목차
Abstract
I. INTRODUCTION
II. THE PROPOSED METHOD
III. TEST AND RESULTS
IV. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2018-004-000962233