Simultaneous surveillance camera calibration and foot-head homology estimation from human detections
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00212626" target="_blank" >RIV/68407700:21230/10:00212626 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CVPR.2010.5539786" target="_blank" >http://dx.doi.org/10.1109/CVPR.2010.5539786</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR.2010.5539786" target="_blank" >10.1109/CVPR.2010.5539786</a>
Alternative languages
Result language
angličtina
Original language name
Simultaneous surveillance camera calibration and foot-head homology estimation from human detections
Original language description
We propose a novel method for automatic camera calibration and foot-head homology estimation by observing persons standing at several positions in the camera field of view. We demonstrate that human body can be considered as a calibration target thus avoiding special calibration objects or manually established fiducial points. First, by assuming roughly parallel human poses we derive a new constraint which allows to formulate the calibration of internal and external camera parameters as a Quadratic Eigenvalue Problem. Secondly, we couple the calibration with an improved effective integral contour based human detector and use 3D projected models to capture a large variety of person and camera mutual positions. The resulting camera auto-calibration method is very robust and efficient, and thus well suited for surveillance applications where the camera calibration process cannot use special calibration targets and must be simple.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVPR 2010: Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
978-1-4244-6984-0
ISSN
1063-6919
e-ISSN
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Number of pages
8
Pages from-to
1562-1569
Publisher name
Omnipress
Place of publication
Madison
Event location
San Francisco
Event date
Jun 13, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000287417501077