Detection and segmentation of moving vehicles and trains using Gaussian mixtures, shadow detection and morphological processing

• Autorzy: Dalka P.
• Konferencja: International Conference on Computer Vision and Graphics ICCVG 2006 (25-27.09.2006 ; Warsaw, Poland)
• Języki publikacji: EN

Abstrakty

EN

The solution presented in this paper combines background modelling, shadow detection and morphological and temporal processing into a single system responsible for detection and segmentation of moving objects recorded with a static camera. Vehicles and trains are detected based on their pixel-level difference with respect to a continually updated background model, using a Gaussian mixture calculated separately for every pixel. The shadow detection method utilizes a colour model which allows for estimating chromatic and brightness differences between the pixel colour and the background model. Morphological and temporal operations performed on binary images denoting moving objects include connecting the components, closing and temporal filtering. Experiments carried out involve employing implemented algorithms to detect vehicles and trains in video sequences. The results achieved are described and illustrated in figures.

Słowa kluczowe

EN

image processing; vehicle detection and segmentation; mixture of Gaussians; shadow detection; morphological operations

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2006
• Tom: Vol. 15, No. 3/4
• Strony: 339--348
• Opis fizyczny: Bibliogr. 10 poz., zdj.

Twórcy

autor

Dalka P.

• Gdansk University of Technology, Multimedia Systems Departament, Narutowicza 11/12, 80-952 Gdansk, Poland,

Bibliografia

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