DocumentCode :
382749
Title :
Using intrinsic images for shadow handling
Author :
Martin, Robert F K ; Masoud, Osama ; Papanikolopoulos, Nikolaos
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., USA
fYear :
2002
fDate :
2002
Firstpage :
152
Lastpage :
155
Abstract :
The ability to detect shadows is a critical feature of any intelligent transportation system (ITS). The improper handling of shadows can be the cause of erroneous conclusions in traffic analysis. As vision-based ITS applications are becoming more popular, it is important to minimize the effects of shadows. Here, we present a novel method for shadow handling in a sequence of images. Following recent work motivated by studies of the statistics of natural images, we show that this new method is a reliable detector of shadows and can be easily implemented in real-time.
Keywords :
automated highways; computer vision; image sequences; object recognition; road traffic; traffic engineering computing; ITS; computer vision; image sequence; intelligent transportation system; intrinsic images; shadow handling; vehicle detection; Artificial intelligence; Computer vision; Computerized monitoring; Image edge detection; Intelligent robots; Intelligent transportation systems; Layout; Magnetic analysis; Vehicle detection; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
Print_ISBN :
0-7803-7389-8
Type :
conf
DOI :
10.1109/ITSC.2002.1041205
Filename :
1041205
Link To Document :
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