Paper Info
Title
A single-view based framework for robust estimation of heights and positions of moving people
Abstract
In recent years, there has been increased interest in characterizing 3D information from video sequences for human tracking/identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In the proposed work, 2D features of a target object are back-projected into the 3D scene where its coordinate system is given by a rectangular marker. Then the position and height are measured in the scene space. In addition, geometric error caused by inaccurate projective mapping is corrected by using geometric constraints provided by the marker. The accuracy and robustness are verified on the experimental results of several video sequences from outdoor environments.
Year
DOI
Venue
2007
10.1109/ICCE.2010.5419008
PSIVT
Keywords
DocType
ISBN
rectangular marker,scene space,video signal processing,3d information,video sequences,single view based framework,moving people height estimation,robust estimation,object recognition,inaccurate projective mapping,geometric constraint,moving people position estimation,outdoor environment,spatial variables measurement,geometric constraints,coordinate system,human tracking,target object,real video sequence,geometric error,robust estimator
Conference
978-1-4244-4316-1
Citations 
PageRank 
References 
5
1.52
16
Authors
3
Name
Order
Citations
PageRank
Seok-han Lee1447.35
Tae-Eun Kim246190.78
Jong-Soo Choi314730.10