DocumentCode
3325054
Title
A statistical method for object localization in multi-camera tracking
Author
Havasi, László ; Szlávik, Zoltán
Author_Institution
Comput. & Autom. Res. Inst., Budapest, Hungary
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
3925
Lastpage
3928
Abstract
The aim of the paper is to show that localization of observed moving objects is possible in a multicamera environment, based on the simple foreground mask and the estimation of the size distribution on image plane. The method is flexible, it can handle arbitrary number of cameras and objects. It is based only on change detection masks and does not depend on appearance information. Due to its statistical nature the proposed method efficiently handles such challenging situations as changes in viewpoint, occlusions due to view variations, background clutter.
Keywords
cameras; image motion analysis; object detection; statistical analysis; appearance information; background clutter; change detection masks; image plane; multicamera tracking; object localization; size distribution; statistical method; statistical nature; Cameras; Estimation; Pixel; Surveillance; Target tracking; Three dimensional displays; localization; surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5650985
Filename
5650985
Link To Document