Paper Info
Title
A statistical method for object localization in multi-camera tracking
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.
Year
DOI
Venue
2010
10.1109/ICIP.2010.5650985
Image Processing
Keywords
Field
DocType
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,localization,surveillance
Object detection,Computer vision,Change detection,Pattern recognition,Clutter,Computer science,Image plane,Multi camera tracking,Artificial intelligence,Pixel,Statistical analysis
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-7993-1
978-1-4244-7993-1
2
PageRank 
References 
Authors
0.39
9
2
Name
Order
Citations
PageRank
Laszlo Havasi1666.80
Zoltán Szlávik211621.40