DocumentCode
2068989
Title
Commentary Paper 1 on "Automatic Detection of Adverse Weather Conditions in Traffic Scenes"
Author
Prati, Andrea
Author_Institution
Di.S.M.I., Univ. of Modena & Reggio Emilia, Reggio Emilia, Italy
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
280
Lastpage
280
Abstract
This paper describes two solutions for detecting snow and fog, respectively, in traffic scenes. The former weather condition is detected by modeling the video luminance with a mixture of Gaussians (MoG), while the latter is detected analyzing the Fourier harmonic frequencies.
Keywords
Gaussian processes; traffic engineering computing; video signal processing; video surveillance; Fourier harmonic frequencies; Gaussians mixture; adverse weather conditions automatic detection; fog detection; snow detection; traffic scenes; video luminance; Cameras; Detection algorithms; Frequency domain analysis; Gaussian processes; Harmonic analysis; Layout; Snow; Surveillance; Traffic control; Videoconference;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/AVSS.2008.53
Filename
4730424
Link To Document