상세정보
학술대회
Passenger Management System Based on Face Recognition for Intelligent Transport Vehicles
- 발행일
- 201307
- 출처
- International Conference on Ubiquitous and Future Networks (ICUFN) 2013, pp.117-118
- 협약과제
- 13ZI1200, 산업계 기술지원사업, 김영선
- 초록
- This paper describes the passenger management system based on the face recognition technology for intelligent transport vehicles. In the mass transport vehicles such as a public transport bus, a subway and a train, a lot of people get on and off at the same time, thus the speed of face detection is the most important issue for the development of intelligent vehicle system which can identify passengers. In this paper, the AdaBoost method utilizing Local Binary Pattern (LBP) histogram is employed for face detection system. And the cascade structure is also introduced in order to improve the detection speed. © 2013 IEEE.
- KSP 제안 키워드
- Adaboost method, Cascade structure, Detection speed, Face detection, Intrusion detection system(IDS), Local binary Pattern, Management system, Mass transport, Public transport, Transport vehicles, face recognition