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Kniha Stochastic Algorithms for Visual Tracking John MacCormick

Stochastic Algorithms for Visual Tracking

Probabilistic Modelling and Stochastic Algorithms for Visual Localisation and Tracking

Autor: John MacCormick
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer London Ltd
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
2 286 Kč
A central problem in computer vision is to track objects as they move and deform in a video sequence...

Informace o knize

Autor
John MacCormick
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2011
Stránek
174
EAN
9781447111764
ISBN
1447111761
Enbook ID
06794615
Vydavatel
Springer London Ltd
Hmotnost
295
Rozměry
155 x 235 x 11

Kompletní popis

A central problem in computer vision is to track objects as they move and deform in a video sequence. Stochastic algorithms -- in particular, particle filters and the Condensation algorithm -- have dramatically enhanced the state of the art for such visual tracking problems in recent years. This book presents a unified framework for visual tracking using particle filters, including the new technique of partitioned sampling which can alleviate the "curse of dimensionality" suffered by standard particle filters. The book also introduces the notion of contour likelihood: a collection of models for assessing object shape, colour and motion, which are derived from the statistical properties of image features. Because of their statistical nature, contour likelihoods are ideal for use in stochastic algorithms. A unifying theme of the book is the use of statistics and probability, which enable the final output of the algorithms presented to be interpreted as the computer's "belief" about the state of the world. The book will be of use and interest to students, researchers and practitioners in computer vision, and assumes only an elementary knowledge of probability theory.

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