Feature-aided multiple target tracking in the image plane

Andrew P. Brown, Kevin J. Sullivan, David J. Miller

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    21 Scopus citations

    Abstract

    Vast quantities of EO and IR data are collected on airborne platforms (manned and unmanned) and terrestrial platforms (including fixed installations, e.g., at street intersections), and can be exploited to aid in the global war on terrorism. However, intelligent preprocessing is required to enable operator efficiency and to provide commanders with actionable target information. To this end, we have developed an image plane tracker which automatically detects and tracks multiple targets in image sequences using both motion and feature information. The effects of platform and camera motion are compensated via image registration, and a novel change detection algorithm is applied for accurate moving target detection. The contiguous pixel blob on each moving target is segmented for use in target feature extraction and model learning. Feature-based target location measurements are used for tracking through move-stop-move maneuvers, close target spacing, and occlusion. Effective clutter suppression is achieved using joint probabilistic data association (JPDA), and confirmed target tracks are indicated for further processing or operator review. In this paper we describe the algorithms implemented in the image plane tracker and present performance results obtained with video clips from the DARPA VIVID program data collection and from a miniature unmanned aerial vehicle (UAV) flight.

    Original languageEnglish (US)
    Title of host publicationIntelligent Computing
    Subtitle of host publicationTheory and Applications IV
    DOIs
    StatePublished - Sep 14 2006
    EventIntelligent Computing: Theory and Applications IV - Kissimmee, FL, United States
    Duration: Apr 17 2006Apr 18 2006

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume6229
    ISSN (Print)0277-786X

    Other

    OtherIntelligent Computing: Theory and Applications IV
    CountryUnited States
    CityKissimmee, FL
    Period4/17/064/18/06

    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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  • Cite this

    Brown, A. P., Sullivan, K. J., & Miller, D. J. (2006). Feature-aided multiple target tracking in the image plane. In Intelligent Computing: Theory and Applications IV [62290Q] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6229). https://doi.org/10.1117/12.666143