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'Mtrack 2.0': An Ultra-Scale Tracking Algorithm for Low-Resolution Overhead Imagery.

DE2009947747

Publication Date	2008
Personal Author	Carrano, C. J.
Page Count	14
Abstract	Overhead persistent surveillance systems are becoming more capable at acquiring wide-field image sequences for long time-spans. The need to exploit this data is becoming ever greater. The ability to track a single vehicle of interest or to track all the observable vehicles, which may number in the thousands, over large, cluttered regions while they persist in the imagery is very desirable. Typically, this imagery has many thousands of pixels on a side and is characterized by lower resolutions (e.g. (approx)0.5 meters/pixel to (approx)2.0 meters/pixel) and lower frame rates (e.g. (approx) sub-Hz to several Hz). We describe our ultra-scale capable implementation of a multiple-vehicle tracking algorithm for overhead persistent surveillance imagery. This work builds upon an earlier report, where now the algorithm has been modified for improved performance and has been substantially improved to handle much larger datasets in a much shorter time.
Keywords	Tracking Imagery Algorithms Implementation Performance Vehicles Lower frame rates Lower resolutions Multiple-vehicle tracking algorithm Mtrack 2.0 Overhead persistent surveillance imagery
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Berkeley National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200915
Contract Number	W-7405-ENG-48

'Mtrack 2.0': An Ultra-Scale Tracking Algorithm for Low-Resolution Overhead Imagery.

'Mtrack 2.0': An Ultra-Scale Tracking Algorithm for Low-Resolution Overhead Imagery.
DE2009947747

Publication Date	2008
Personal Author	Carrano, C. J.
Page Count	14
Abstract	Overhead persistent surveillance systems are becoming more capable at acquiring wide-field image sequences for long time-spans. The need to exploit this data is becoming ever greater. The ability to track a single vehicle of interest or to track all the observable vehicles, which may number in the thousands, over large, cluttered regions while they persist in the imagery is very desirable. Typically, this imagery has many thousands of pixels on a side and is characterized by lower resolutions (e.g. (approx)0.5 meters/pixel to (approx)2.0 meters/pixel) and lower frame rates (e.g. (approx) sub-Hz to several Hz). We describe our ultra-scale capable implementation of a multiple-vehicle tracking algorithm for overhead persistent surveillance imagery. This work builds upon an earlier report, where now the algorithm has been modified for improved performance and has been substantially improved to handle much larger datasets in a much shorter time.
Keywords	Tracking Imagery Algorithms Implementation Performance Vehicles Lower frame rates Lower resolutions Multiple-vehicle tracking algorithm Mtrack 2.0 Overhead persistent surveillance imagery
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Berkeley National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200915
Contract Number	W-7405-ENG-48