A Gaussian mixture model and support vector machine approach to vehicle type and colour classification

Author:

Chen Zezhi1,Pears Nick2,Freeman Michael2,Austin Jim2

Affiliation:

1. Cybula Ltd.Computer Science Building, Deramore LaneYorkYO10 5DDUK

2. Department of Computer ScienceUniversity of YorkYorkYO10 5DDUK

Funder

Technology Strategy Board

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Reference37 articles.

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3. A review of computer vision techniques for the analysis of urban traffic;Buch N.;IEEE Trans. Intell. Transp. Syst.,2011

4. NietoM.UnzuetaL.CortesA.BarandiaranJ.OtaeguiO.SanchezP.: ‘Real‐time 3d modeling of vehicles in low‐cost monocamera systems’.Proc. Int. Conf. Computer Vision Theory and Applications VISAPP2011 2011 pp.459–464

5. FriedmanN.RussellS.: ‘Image segmentation in video sequences: A probabilistic approach’.Proc 13th Conf. Uncertainty in Artificial Intelligence 1997 pp.175–181

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