Surveillance in long-distance turbulence-degraded videos

Yitzhak Yitzhaky, Eli Chen, Oren Haik

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

    Abstract

    Surveillance in long-distance turbulence-degraded video is a difficult challenge because of the effects of the atmospheric turbulence that causes blur and random shifts in the image. As imaging distances increase, the degradation effects become more significant. This paper presents a method for surveillance in long-distance turbulence-degraded videos. This method is based on employing new criteria for discriminating true from false object detections. We employ an adaptive thresholding procedure for background subtraction, and implement new criteria for distinguishing true from false moving objects, that take into account the temporal consistency of both shape and motion properties. Results show successful detection also tracking of moving objects on challenging video sequences, which are significantly distorted with atmospheric turbulence. However, when the imaging distance is increased higher false alarms may occur. The method presented here is relatively efficient and has low complexity.

    Original languageAmerican English
    Title of host publicationElectro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing
    DOIs
    StatePublished - 16 Dec 2013
    EventElectro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing - Dresden, Germany
    Duration: 24 Sep 201326 Sep 2013

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume8897

    Conference

    ConferenceElectro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing
    Country/TerritoryGermany
    CityDresden
    Period24/09/1326/09/13

    Keywords

    • Automatic surveillance
    • Long-distance imaging
    • Moving object detection

    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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