Detecting multiple moving objects in crowded environments with coherent motion regions

Cheriyadat, Anil M.; Radke, Richard J.

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Title: Detecting multiple moving objects in crowded environments with coherent motion regions

Abstract

Coherent motion regions extend in time as well as space, enforcing consistency in detected objects over long time periods and making the algorithm robust to noisy or short point tracks. As a result of enforcing the constraint that selected coherent motion regions contain disjoint sets of tracks defined in a three-dimensional space including a time dimension. An algorithm operates directly on raw, unconditioned low-level feature point tracks, and minimizes a global measure of the coherent motion regions. At least one discrete moving object is identified in a time series of video images based on the trajectory similarity factors, which is a measure of a maximum distance between a pair of feature point tracks.

Inventors:: Cheriyadat, Anil M.; Radke, Richard J.

Issue Date:: 2013-06-11

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1084203

Patent Number(s):: 8462987

Application Number:: 12/489,589

Assignee:: UT-Battelle, LLC (Oak Ridge, TN)

Patent Classifications (CPCs):: G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

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G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
G06T2207/10016 - Video
G06T2207/30196 - Human being
G06T2207/30232 - Surveillance
G06T2207/30241 - Trajectory
G06T7/246 - using feature-based methods, e.g. the tracking of corners or segments

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DOE Contract Number:: ACO5-000R22725

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

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                    Cheriyadat, Anil M., and Radke, Richard J. Detecting multiple moving objects in crowded environments with coherent motion regions.  United States: N. p., 2013. 
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                    Cheriyadat, Anil M., & Radke, Richard J. Detecting multiple moving objects in crowded environments with coherent motion regions.  United States.

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                    Cheriyadat, Anil M., and Radke, Richard J. Tue .  
        "Detecting multiple moving objects in crowded environments with coherent motion regions".  United States.  https://www.osti.gov/servlets/purl/1084203.

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@article{osti_1084203,

  title        = {Detecting multiple moving objects in crowded environments with coherent motion regions},

  author       = {Cheriyadat, Anil M. and Radke, Richard J.},

  abstractNote = {Coherent motion regions extend in time as well as space, enforcing consistency in detected objects over long time periods and making the algorithm robust to noisy or short point tracks. As a result of enforcing the constraint that selected coherent motion regions contain disjoint sets of tracks defined in a three-dimensional space including a time dimension. An algorithm operates directly on raw, unconditioned low-level feature point tracks, and minimizes a global measure of the coherent motion regions. At least one discrete moving object is identified in a time series of video images based on the trajectory similarity factors, which is a measure of a maximum distance between a pair of feature point tracks.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2013},

  month        = {6}

}

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Works referenced in this record:

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