Camera Tracking and Autocalibration for Detecting and Correcting Camera De-Calibration
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00166010" target="_blank" >RIV/68407700:21230/09:00166010 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Camera Tracking and Autocalibration for Detecting and Correcting Camera De-Calibration
Original language description
In this report, we present several contributions to the dynamic 3D scene analysis supported by image and video processing from omnidirectional video data acquired by the AWEAR 2.0 platform. First, we summarize the upgrades of our structure from motion (SfM) pipelines for the autocalibration of the AWEAR 2.0 camera platform. Next, we examine several examples of detecting abnormal situations using statistics resulted from camera tracking: (i) feature detection, (ii) sequential matching, and (iii) stereo matching on the top of SfM. Finally, we demonstrate the detection and classification of abnormal situations, and correction of the contaminated camera calibrations according to the abnormal events on real video sequences.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
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
R - Projekt Ramcoveho programu EK
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů