DocumentCode
2805199
Title
Automatic localisation of moving vehicles in image sequences using morphological operations
Author
Frejlichowski, Dariusz
Author_Institution
Fac. of Comput. Sci. & Inf. Syst., Szczecin Univ. of Technol., Szczecin
fYear
2008
fDate
18-21 May 2008
Firstpage
1
Lastpage
4
Abstract
An algorithm for moving vehicles localisation in digital image sequences is presented and initially explored. It can be in future applied e.g. as a step in traffic monitoring, speed verification, accident detection, searching for stolen cars, license plates recognition, etc. It is based on selection of sections, that are different from background in consecutive frames. It requires earlier preparation of the background image, what it is not always possible, especially, when the monitoring is performed continuously. That is why, the process of generating the background image is based on averaging frames for assumed time, simultaneously to localisation. When the background image is generated, the process of localisation can be performed. It is based on few steps: subtraction of a frame from the background (performed to select new objects on scene), binarisation, dilatation, filling the gaps, construction of the rectangle enclosing the object. The goal of these steps is to mark localised vehicles, separately from the background.
Keywords
image sequences; mathematical morphology; object recognition; road vehicles; traffic engineering computing; accident detection; automatic moving vehicle localisation; background image; digital image sequences; license plates recognition; morphological operations; speed verification; traffic monitoring; Digital images; Filling; Image generation; Image sequences; Layout; Licenses; Monitoring; Morphological operations; Road accidents; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, 2008. IT 2008. 1st International Conference on
Conference_Location
Gdansk
Print_ISBN
978-1-4244-2244-9
Electronic_ISBN
978-1-4244-2245-6
Type
conf
DOI
10.1109/INFTECH.2008.4621677
Filename
4621677
Link To Document