"Mtrack 1.0": A multi-vehicle, deterministic tracking algorithm

Carrano, C J

doi:10.2172/945703

Title: "Mtrack 1.0": A multi-vehicle, deterministic tracking algorithm

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Abstract

As overhead persistent surveillance sensors become more capable at acquiring wide-field image sequences for longer time-spans, the need to exploit such data becomes ever greater. A desirable use of such sensors is to be able to track all the observable vehicles while they persist in the imagery. Typically, this imagery is characterized by lower resolutions (e.g. >= 0.5 m/pixel ) and lower frame rates (e.g. {approx} few Hz). We describe our initial implementation of a multiple-vehicle tracking algorithm for overhead persistent surveillance imagery. Subsequent reports will then present results of applying this tracker to specific persistent surveillance imagery as well as algorithm improvements and extensions for dealing with wider-field imagery.

Authors:: Carrano, C J

Publication Date:: Thu May 22 00:00:00 EDT 2008

Research Org.:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 945703

Report Number(s):: LLNL-TR-404638
TRN: US200904%%5

DOE Contract Number:: W-7405-ENG-48

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 99 GENERAL AND MISCELLANEOUS; 42 ENGINEERING; M CODES; ALGORITHMS; VEHICLES; MONITORING; IMAGES

Citation Formats


                    Carrano, C J. "Mtrack 1.0": A multi-vehicle, deterministic tracking algorithm.  United States: N. p., 2008. 
        Web.  doi:10.2172/945703.

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                    Carrano, C J. "Mtrack 1.0": A multi-vehicle, deterministic tracking algorithm.  United States.  https://doi.org/10.2172/945703

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                    Carrano, C J. 2008.  
        ""Mtrack 1.0": A multi-vehicle, deterministic tracking algorithm".  United States.  https://doi.org/10.2172/945703.  https://www.osti.gov/servlets/purl/945703.

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@article{osti_945703,

  title        = {"Mtrack 1.0": A multi-vehicle, deterministic tracking algorithm},

  author       = {Carrano, C J},

  abstractNote = {As overhead persistent surveillance sensors become more capable at acquiring wide-field image sequences for longer time-spans, the need to exploit such data becomes ever greater. A desirable use of such sensors is to be able to track all the observable vehicles while they persist in the imagery. Typically, this imagery is characterized by lower resolutions (e.g. >= 0.5 m/pixel ) and lower frame rates (e.g. {approx} few Hz). We describe our initial implementation of a multiple-vehicle tracking algorithm for overhead persistent surveillance imagery. Subsequent reports will then present results of applying this tracker to specific persistent surveillance imagery as well as algorithm improvements and extensions for dealing with wider-field imagery.},

  doi          = {10.2172/945703},

  url          = {https://www.osti.gov/biblio/945703},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu May 22 00:00:00 EDT 2008},

  month        = {Thu May 22 00:00:00 EDT 2008}

}

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https://doi.org/10.2172/945703

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