DocumentCode :
1906960
Title :
Danger detection from head light glare through vision estimation
Author :
Pharadornpanitchakul, Suchart ; Chaisricharoen, Roungsan
Author_Institution :
Sch. of Inf. Technol., Mae Fah Luang Univ., Chiang Rai, Thailand
fYear :
2013
fDate :
4-6 Sept. 2013
Firstpage :
661
Lastpage :
664
Abstract :
Driver´s night drive vision can be seriously reduced by opposite headlight glare especially in mountainous roads. Though there are methods for reducing opposite headlight glare effects, these techniques usually deteriorate night vision in normal state. Therefore, these techniques must be deployed if and only if a certain danger from the opposite headlight glare become really danger. The method for detecting this danger is proposed based on ordinary image or video captured device as anyone who own car can buy, using properties in every still color image to extract light source and eliminate unconcerned objects such as some reflects on pavement, background color from own light beams, and then find the most area in picture to determine whether it is dangerous glare or not. The result measurement performs by manually to find trend of percentage area for warning. The proposed method is evaluated based on recorded videos from various scenarios. The test implies good result based on no probability of negative fault error with only low of positive fault error probability.
Keywords :
driver information systems; image colour analysis; light sources; object detection; probability; roads; vision; background color; color image; danger detection; driver night drive vision estimation; image captured device; ligh beams; light source extraction; mountainous roads; opposite headlight glare effects; pavement; positive fault error probability; video captured device; Cameras; Educational institutions; Head; Image color analysis; Light sources; Market research; Vehicles; Finding regions; Glare detection; HSI; HSV; Reflection surface; Vision estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies (ISCIT), 2013 13th International Symposium on
Conference_Location :
Surat Thani
Print_ISBN :
978-1-4673-5578-0
Type :
conf
DOI :
10.1109/ISCIT.2013.6645944
Filename :
6645944
Link To Document :
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