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Fisheye camera modeling for human segmentation refinement in indoor videos

Published: 29 May 2013 Publication History

Abstract

In this paper, we concentrate on refining the results of segmenting human presence from indoors videos acquired by a fisheye camera, using a 3D mathematical model of the camera. The model has been calibrated according to the specific indoor environment that is being monitored. Human segmentation is implemented using a standard established technique. The fisheye camera used for video acquisition is modeled using a spherical element, while the parameters of the camera model are determined only once, using the correspondence of a number of user-defined landmarks, both in real world coordinates and on the acquired video frame. Subsequently, each pixel of the video frame is inversely mapped to the direction of view in the real world and the relevant data are stored in look-up tables for very fast utilization in real-time video processing. The proposed fisheye camera model enables the inference of possible real world positions of a segmented cluster of pixels in the video frame. In this work, we utilize the constructed camera model to achieve a simple geometric reasoning that corrects gaps and mistakes of the human figure segmentation. Initial results are also presented for a small number of video sequences, which prove the efficiency of the proposed method.

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  • (2021)A deep survey on supervised learning based human detection and activity classification methodsMultimedia Tools and Applications10.1007/s11042-021-10811-5Online publication date: 27-May-2021
  • (2014)Employing affection in elderly healthcare serious games interventionsProceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2674396.2674456(1-4)Online publication date: 27-May-2014
  • (2014)Human centered computing for the development of assistive environmentsProceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2674396.2674453(1-7)Online publication date: 27-May-2014
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  1. Fisheye camera modeling for human segmentation refinement in indoor videos

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    PETRA '13: Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
    May 2013
    413 pages
    ISBN:9781450319737
    DOI:10.1145/2504335
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    • NSF: National Science Foundation
    • FORTH: Foundation for Research and Technology - Hellas
    • HERACLEIA: HERACLEIA Human-Centered Computing Laboratory at UTA
    • U of Tex at Arlington: U of Tex at Arlington
    • TEI: Technological Educational Institution of Athens
    • UCG: University of Central Greece
    • NCRS: Demokritos National Center for Scientific Research
    • Fulbrigh, Greece: Fulbright Foundation, Greece
    • Ionian: Ionian University, GREECE

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 May 2013

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    Author Tags

    1. geometric reasoning
    2. human activity detection
    3. mathematical model of fisheye camera
    4. video segmentation

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    PETRA '13
    Sponsor:
    • NSF
    • FORTH
    • HERACLEIA
    • U of Tex at Arlington
    • TEI
    • UCG
    • NCRS
    • Fulbrigh, Greece
    • Ionian

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    Cited By

    View all
    • (2021)A deep survey on supervised learning based human detection and activity classification methodsMultimedia Tools and Applications10.1007/s11042-021-10811-5Online publication date: 27-May-2021
    • (2014)Employing affection in elderly healthcare serious games interventionsProceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2674396.2674456(1-4)Online publication date: 27-May-2014
    • (2014)Human centered computing for the development of assistive environmentsProceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2674396.2674453(1-7)Online publication date: 27-May-2014
    • (2014)Refinement of human silhouette segmentation in omni-directional indoor videosComputer Vision and Image Understanding10.1016/j.cviu.2014.06.011128(65-83)Online publication date: Nov-2014
    • (2014)Activity Recognition in Assistive EnvironmentsProceedings of the 8th International Conference on Universal Access in Human-Computer Interaction. Aging and Assistive Environments - Volume 851510.1007/978-3-319-07446-7_51(525-536)Online publication date: 22-Jun-2014

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