Object Detection and Analysis
A Coherency Filtering Approach
(Sprache: Englisch)
Designing a general purpose computer vision system with performance comparable to that of the human vision system is the goal of many researchers. This book introduces a local appearance method, termed coherency filtering, which allows for the robust...
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Designing a general purpose computer vision system with performance comparable to that of the human vision system is the goal of many researchers. This book introduces a local appearance method, termed coherency filtering, which allows for the robust detection and analysis of rigid objects contained in heterogeneous scenes by properly exploiting the wealth of information returned by a k-nearest neighbours (k-NN) classifier. A significant advantage of k-NN classifiers is their ability to indicate uncertainty in the classification of a local window by returning a list of k candidate classifications. Classification of a local window can be inherently uncertain when considered in isolation since local windows from different objects may be similar in appearance. In order to robustly identify objects in a query image, a process is needed to appropriately resolve this uncertainty. Coherency filtering resolves this uncertainty by imposing constraints across the colour channels of a queryimage along with spatial constraints between neighbouring local windows in a manner that produces reliable classification of local windows and ultimately results in the robust identification of objects.
Autoren-Porträt von Donovan Parks
Donovan H. Parks received his B.Eng. from the University of Victoria in 2004 and his M.Eng. from McGill University in 2007. He has been awarded a Natural Sciences and Engineering Research Council of Canada Postgraduate Scholarship to pursue doctoral research in human motion analysis.
Bibliographische Angaben
- Autor: Donovan Parks
- 2008, 172 Seiten, Maße: 15 x 22 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller e.K.
- ISBN-10: 3639013808
- ISBN-13: 9783639013801
Sprache:
Englisch
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