Initialization of Model-Based Vehicle Tracking in Video Sequences of Inner-City Intersections

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 experiment...

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Bibliographic Details
Published in:International journal of computer vision 2008-11, Vol.80 (2), p.211-225
Main Authors: Ottlik, A., Nagel, H.-H.
Format: Article
Language:English
Subjects:
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
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Summary: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.
ISSN:0920-5691
1573-1405
DOI:10.1007/s11263-007-0112-6