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Initialization of Model-Based Vehicle Tracking in Video Sequences of Inner-City Intersections
by
Nagel, H.-H.
, Ottlik, A.
in
Applied sciences
/ Artificial Intelligence
/ Computer Imaging
/ Computer Science
/ Computer science; control theory; systems
/ Exact sciences and technology
/ Image Processing and Computer Vision
/ Inner city
/ Pattern Recognition
/ Pattern Recognition and Graphics
/ Pattern recognition. Digital image processing. Computational geometry
/ Vision
2008
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Initialization of Model-Based Vehicle Tracking in Video Sequences of Inner-City Intersections
by
Nagel, H.-H.
, Ottlik, A.
in
Applied sciences
/ Artificial Intelligence
/ Computer Imaging
/ Computer Science
/ Computer science; control theory; systems
/ Exact sciences and technology
/ Image Processing and Computer Vision
/ Inner city
/ Pattern Recognition
/ Pattern Recognition and Graphics
/ Pattern recognition. Digital image processing. Computational geometry
/ Vision
2008
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Do you wish to request the book?
Initialization of Model-Based Vehicle Tracking in Video Sequences of Inner-City Intersections
by
Nagel, H.-H.
, Ottlik, A.
in
Applied sciences
/ Artificial Intelligence
/ Computer Imaging
/ Computer Science
/ Computer science; control theory; systems
/ Exact sciences and technology
/ Image Processing and Computer Vision
/ Inner city
/ Pattern Recognition
/ Pattern Recognition and Graphics
/ Pattern recognition. Digital image processing. Computational geometry
/ Vision
2008
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Initialization of Model-Based Vehicle Tracking in Video Sequences of Inner-City Intersections
Journal Article
Initialization of Model-Based Vehicle Tracking in Video Sequences of Inner-City Intersections
2008
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Overview
A
fully automatic initialization
approach for 3D-model-based vehicle tracking has been developed, based on Edge-Element and Optical-Flow association. An entire automatic initialization and tracking
system
incorporating this approach achieves results comparable to those obtained by earlier experiments based on
semi-interactive
initialization, provided the assessment criteria are roughly equivalent. Experiences with a large testing sample—about 15 minutes of inner-city traffic videos—are discussed in detail.
Publisher
Springer US,Springer,Springer Nature B.V
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