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
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEEK Transactions on Smart Processing & Computing Vol.1 No.1
- 발행연도
- 2012.8
- 수록면
- 1 - 7 (7page)
이용수
초록· 키워드
오류제보하기
This paper presents a systemused toautomatically recognize the road traffic control gestures of police officers. In this approach,the control gestures of traffic police officers are captured inthe form of depth images.A human skeleton is then constructed using a kinematic model. The feature vector describing a traffic control gesture is built from the relative angles found amongstthe joints of the constructed human skeleton. We utilizeSupport Vector Machines (SVMs) to perform the gesture recognition. Experiments show that our proposed method is robust and efficient and is suitable for realtime application. We also present a testbed system based on the SVMs trained data for real-time traffic gesture recognition.
목차
Abstract
1. Introduction
2. Human Body Parts Recognition Using Depth Images
3. Road Traffic Control GestureRecognition
4. The Experiment Results
5. Conclusion
References
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
이 논문과 함께 이용한 논문
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2015-560-001360852