A method of robust moving vehicle detection for bad weather using an infrared thermography camera

We propose a method of real-time moving vehicle detection using infrared thermal images. It can detect moving vehicles robustly even for bad weather compared with conventional vehicle detection methods using visible light cameras. It can also measure the size of each vehicle around the clock. The al...

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Published in2008 International Conference on Wavelet Analysis and Pattern Recognition Vol. 1; pp. 86 - 90
Main Author Iwasaki
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.08.2008
Subjects
Online AccessGet full text
ISBN9781424422388
1424422388
ISSN2158-5695
DOI10.1109/ICWAPR.2008.4635755

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Abstract We propose a method of real-time moving vehicle detection using infrared thermal images. It can detect moving vehicles robustly even for bad weather compared with conventional vehicle detection methods using visible light cameras. It can also measure the size of each vehicle around the clock. The algorithm we propose for this detection is designed for a high-speed processing without complicated calculations and also designed for a real-time vehicle detection by using a general-purpose personal computer. Experimental results of our method by use of infrared thermal traffic images both at daytime with vehicular cast shadows and at nighttime in darkness show that the vehicle detection accuracy is 100%.
AbstractList We propose a method of real-time moving vehicle detection using infrared thermal images. It can detect moving vehicles robustly even for bad weather compared with conventional vehicle detection methods using visible light cameras. It can also measure the size of each vehicle around the clock. The algorithm we propose for this detection is designed for a high-speed processing without complicated calculations and also designed for a real-time vehicle detection by using a general-purpose personal computer. Experimental results of our method by use of infrared thermal traffic images both at daytime with vehicular cast shadows and at nighttime in darkness show that the vehicle detection accuracy is 100%.
Author Iwasaki
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Snippet We propose a method of real-time moving vehicle detection using infrared thermal images. It can detect moving vehicles robustly even for bad weather compared...
SourceID ieee
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StartPage 86
SubjectTerms Accuracy
Cameras
infrared thermography
ITS (Intelligent Transportation Systems)
Meteorology
Microcomputers
real-time robust measurement
Robustness
Vehicle detection
Vehicles
Title A method of robust moving vehicle detection for bad weather using an infrared thermography camera
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