3D noise-resistant segmentation and tracking of unknown and occluded objects using integral imaging

Doron Aloni, Jae Hyun Jung, Yitzhak Yitzhaky

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Three dimensional (3D) object segmentation and tracking can be useful in various computer vision applications, such as: object surveillance for security uses, robot navigation, etc. We present a method for 3D multiple-object tracking using computational integral imaging, based on accurate 3D object segmentation. The method does not employ object detection by motion analysis in a video as conventionally performed (such as background subtraction or block matching). This means that the movement properties do not significantly affect the detection quality. The object detection is performed by analyzing static 3D image data obtained through computational integral imaging With regard to previous works that used integral imaging data in such a scenario, the proposed method performs the 3D tracking of objects without prior information about the objects in the scene, and it is found efficient under severe noise conditions.

    Original languageAmerican English
    Title of host publicationCounterterrorism, Crime Fighting, Forensics, and Surveillance Technologies
    EditorsYitzhak Yitzhaky, Robert James Stokes, Henri Bouma, Felicity Carlysle-Davies
    PublisherSPIE
    ISBN (Electronic)9781510613461
    DOIs
    StatePublished - 1 Jan 2017
    EventCounterterrorism, Crime Fighting, Forensics, and Surveillance Technologies 2017 - Warsaw, Poland
    Duration: 11 Sep 201712 Sep 2017

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume10441

    Conference

    ConferenceCounterterrorism, Crime Fighting, Forensics, and Surveillance Technologies 2017
    Country/TerritoryPoland
    CityWarsaw
    Period11/09/1712/09/17

    Keywords

    • Computational integral imaging
    • Three dimensional object tracking
    • Three dimensional segmentation

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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