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Detecting multiple moving objects in crowded environments with coherent motion regions

United States Patent

June 11, 2013
View the Complete Patent at the US Patent & Trademark Office
Oak Ridge National Laboratory - Visit the Partnerships Directorate Website
Detecting and Analyzing Multiple Moving Objects in a Crowd
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.
Cheriyadat; Anil M. (Knoxville, TN), Radke; Richard J. (Slingerlands, NY)
UT-Battelle, LLC (Oak Ridge, TN)
12/ 489,589
June 23, 2009
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT This invention was made with United States government support under Prime Contract No. DE-ACO5-000R22725 awarded by the U.S. Department of Energy and Contract No. IIS-0237516 awarded by the U.S. National Science Foundation. The United States government has certain rights in this invention.