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Books > Computing & IT > General theory of computing > Data structures
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Stochastic Algorithms for Visual Tracking - Probabilistic Modelling and Stochastic Algorithms for Visual Localisation and Tracking (Paperback, Softcover reprint of the original 1st ed. 2002)
Loot Price: R2,895
Discovery Miles 28 950
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Stochastic Algorithms for Visual Tracking - Probabilistic Modelling and Stochastic Algorithms for Visual Localisation and Tracking (Paperback, Softcover reprint of the original 1st ed. 2002)
Series: Distinguished Dissertations
Expected to ship within 10 - 15 working days
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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.
General
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