Title :
Commentary Paper 2 on "Automatic Detection of Adverse Weather Conditions in Traffic Scenes"
Author :
Nicolescu, Mircea
Abstract :
The paper presents a methodology for the detection of adverse weather conditions (snow and fog) in video sequences of traffic scenes. The snow falling is detected by tuning the learning parameter of the background model, while the fog is detected by analyzing the frequency spectrum from the Fourier Transform of the image.
Keywords :
Fourier transform optics; fog; image sequences; snow; traffic information systems; video signal processing; Fourier Transform; adverse weather conditions; automatic detection; fog; frequency spectrum; learning parameter; snow; traffic scenes; video sequences; Computer vision; Frequency; Image motion analysis; Layout; Nonlinear optics; Optical computing; Snow; Surveillance; Traffic control; Vehicle detection;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2008. AVSS '08. IEEE Fifth International Conference on
Conference_Location :
Santa Fe, NM
Print_ISBN :
978-0-7695-3341-4
Electronic_ISBN :
978-0-7695-3422-0
DOI :
10.1109/AVSS.2008.78
