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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2009

  • Confidentiality

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