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Detection and segmentation of moving vehicles and trains using Gaussian mixtures, shadow detection and morphological processing
Abstract
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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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
Machine Graphics and Vision
no. 15,
pages 339 - 348,
ISSN: 1230-0535 - Language:
- English
- Publication year:
- 2006
- Bibliographic description:
- 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
- Verified by:
- Gdańsk University of Technology
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