Detection and segmentation of moving vehicles and trains using Gaussian mixtures, shadow detection and morphological processing
Abstrakt
Solution presented in this paper combines background modelling, shadow detection and morphological and temporal processing into one system responsible for detection and segmentation of moving objects recorded with a static camera. Vehicles and trains are detected based on their pixellevel difference from the continually updated background model utilizing a Gaussian mixture calculated separately for every pixel. The shadow detection method utilizes a colour model, which allows to estimate 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 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.
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Opublikowano w:
-
Machine Graphics and Vision
nr 15,
strony 339 - 348,
ISSN: 1230-0535 - Język:
- angielski
- Rok wydania:
- 2006
- Opis bibliograficzny:
- Dalka P.: Detection and segmentation of moving vehicles and trains using Gaussian mixtures, shadow detection and morphological processing// Machine Graphics and Vision. -Vol. 15., nr. nr 3/4 (2006), s.339-348
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 137 razy