Simultaneous surveillance camera calibration and foot-head homology estimation from human detections

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Simultaneous surveillance camera calibration and foot-head homology estimation from human detections

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Simultaneous surveillance camera calibration and foot-head homology estimation from human detections

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

—

Počet stran výsledku

8

Strana od-do

1562-1569

Název nakladatele

Omnipress

Místo vydání

Madison

Místo konání akce

San Francisco

Datum konání akce

13. 6. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000287417501077