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Passenger Management System Based on Face Recognition for Intelligent Transport Vehicles
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- Authors
- Byung-Gil Han, Kil-Taek Lim, Yun-Su Chung, Soo-In Lee
- Issue Date
- 2013-07
- Citation
- International Conference on Ubiquitous and Future Networks (ICUFN) 2013, pp.117-118
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 Keywords
- Adaboost method, Cascade structure, Detection Systems(IDS), Detection speed, Management system, Mass transport, Public transport, Transport vehicles, face Recognition, face detection, intelligent transport