1st International ICST Workshop on Ambient Technologies for Diagnosing and Monitoring Chronic Patients

Research Article

Semi-automatic calibration of 3D camera images - Monitoring activities made easy

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2796,
        author={Bart Jansen and Rudi Deklerck},
        title={Semi-automatic calibration of 3D camera images - Monitoring activities made easy},
        proceedings={1st International ICST Workshop on Ambient Technologies for Diagnosing and Monitoring Chronic Patients},
        publisher={IEEE},
        proceedings_a={ATDMCP},
        year={2008},
        month={7},
        keywords={Biomedical imaging  Biomedical monitoring  Calibration  Cameras  Consumer electronics  Informatics  Position measurement  Remote monitoring  Senior citizens  Temperature sensors },
        doi={10.4108/ICST.PERVASIVEHEALTH2008.2796}
    }
    
  • Bart Jansen
    Rudi Deklerck
    Year: 2008
    Semi-automatic calibration of 3D camera images - Monitoring activities made easy
    ATDMCP
    IEEE
    DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2796
Bart Jansen1,*, Rudi Deklerck1,*
  • 1: Department of Electronics and Informatics Vrije Universiteit Brussel Pleinlaan 2, Brussel, Belgium
*Contact email: bjansen@etro.vub.ac.be, rpdekler@etro.vub.ac.be

Abstract

A major practical problem when implementing home monitoring using 3D camera technology is the calibration process which serves to relate the camera coordinate system to a coordinate system interpretable by the caregiver. In this paper, we propose a calibration algorithm which can relate both coordinate systems without performing actual measurements of the position of reference points in the room. The calibration tool is constructed such that it can be operated by any caregiver and hence eases the deployment of the home monitoring appliances. Our method (semi)automatically detects a plane corresponding to the ground floor in the three dimensional images. Random points from that plane are used to calculate rotation angles in a least squares manner. Experiments are performed to investigate how the obtained results depend on the parameters of the algorithm.