Passenger management system based on face recognition for intelligent transport vehicles

Author

Byung-Gil Han ; Kil-Taek Lim ; Yun-Su Chung ; Soo-In Lee

Author_Institution

Daegu-Gyeongbuk Res. Center, Electron. & Telecommun. Res. Inst., Daegu, South Korea

fYear

2013

fDate

2-5 July 2013

Firstpage

117

Lastpage

118

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.

Keywords

automated highways; face recognition; learning (artificial intelligence); object detection; traffic engineering computing; AdaBoost method; LBP; cascade structure; face detection system; face recognition technology; intelligent transport vehicles; local binary pattern histogram; mass transport vehicles; passenger identification; passenger management system; public transport bus; subway; train; Artificial intelligence; Classification algorithms; Face; Face detection; Face recognition; Servers; Vehicles; AdaBoost; LBP; face recognition; intelligent vehicle; passenger management;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous and Future Networks (ICUFN), 2013 Fifth International Conference on

Conference_Location

Da Nang

ISSN

2165-8528

Type

conf

DOI

10.1109/ICUFN.2013.6614792

Filename

6614792