Title :
Commentary Paper 1 on "Automatic Detection of Adverse Weather Conditions in Traffic Scenes"
Author_Institution :
Di.S.M.I., Univ. of Modena & Reggio Emilia, Reggio Emilia, Italy
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;
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.2008.53
