Detection of Illegal Dumping from CCTV at Recycling Centres

Author

Harte, Naomi ; Rankin, Andrew ; Baugh, Gary ; Kokaram, Anil

Author_Institution

Trinity Coll. Dublin, Dublin

fYear

2007

fDate

5-7 Sept. 2007

Firstpage

204

Lastpage

204

Abstract

This paper describes initial work on a framework for automatic detection of illegal dumping from CCTV footage from recycle centres. Frames are seperated into foreground and background regions using a Bayesian approach that combines global motion estimates with image based information to generate a robust segmentation. The framework hence avoids explicit modelling and tracking of objects in the scene such as cars, people or rubbish bags. A feature extraction stage with diagnostics will be presented.

Keywords

closed circuit television; environmental science computing; feature extraction; image segmentation; motion estimation; object detection; recycling; video signal processing; Bayesian approach; CCTV; automatic detection; explicit modelling; feature extraction stage; global motion estimates; illegal dumping detection; image based information; objects tracking; recycling centres; robust segmentation; Bayesian methods; Councils; Educational institutions; Event detection; Feature extraction; Image processing; Layout; Machine vision; Motion estimation; Recycling;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing Conference, 2007. IMVIP 2007. International

Conference_Location

Kildare

Print_ISBN

978-0-7695-2887-8

Type

conf

DOI

10.1109/IMVIP.2007.22

Filename

4318158