Detection and segmentation of moving vehicles and trains using Gaussian mixtures, shadow detection and morphological processing - Publication - Bridge of Knowledge

Search

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.

Cite as

Full text

full text is not available in portal

Keywords

Details

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

seen 93 times

Recommended for you

Meta Tags