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Detecting multiple moving objects in crowded environments with coherent motion regions

Patent ·
OSTI ID:1084203
;
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.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Assignee:
UT-Battelle, LLC (Oak Ridge, TN)
Patent Number(s):
8,462,987
Application Number:
12/489,589
OSTI ID:
1084203
Country of Publication:
United States
Language:
English

References (5)

Crowd Segmentation Through Emergent Labeling book January 2004
Detecting multiple moving objects in crowded environments with coherent motion regions
  • Cheriyadat, Anil M.; Bhaduri, Budhendra L.; Radke, Richard J.
  • 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops) https://doi.org/10.1109/CVPRW.2008.4562983
conference June 2008
Moving object detection in video by detecting non-Gaussian regions in subbands and active contours conference January 2003
Simultaneous Estimation of Segmentation and Shape conference January 2005
Spatio-temporal differentiation and integration in visual motion perception: An experimental and theoretical analysis of calculus-like functions in visual data processing journal January 1976

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Related Subjects

97 MATHEMATICS AND COMPUTING