DocumentCode :
2633078
Title :
A near-infrared imaging method for capturing the interior of a vehicle through windshield
Author :
Hao, Xiaoli ; Chen, Houjin ; Yao, Chang ; Yang, Na ; Bi, Hongjun ; Wang, Changli
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2010
fDate :
23-25 May 2010
Firstpage :
109
Lastpage :
112
Abstract :
We investigate a near-infrared (NIR) imaging method for capturing the interior of vehicles, the purpose of which is to automatically monitor and count vehicle occupants. The proposed NIR imaging method can effectively deal with the challenge due to windshield reflection and operate during both day and night. Our goal is to improve the clarity of the captured image of the vehicle interior under these adverse conditions, in order to facilitate the task of monitoring and counting of vehicle occupants either by human screeners or by pattern recognition algorithms. The NIR imaging approach is demonstrated with numerical results in our experiments.
Keywords :
Automotive components; Cameras; Face detection; Glass; Humans; Licenses; Optical imaging; Optical reflection; Transportation; Vehicle detection; face detection; high occupancy vehicle (HOV); near-infrared imaging; occupants detection; windshield reflection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on
Conference_Location :
Austin, TX, USA
Print_ISBN :
978-1-4244-7801-9
Type :
conf
DOI :
10.1109/SSIAI.2010.5483907
Filename :
5483907
Link To Document :
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