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Stochastic Algorithms for Visual Tracking
John Maccormick
€ 123.10
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Description for Stochastic Algorithms for Visual Tracking
Paperback. Series: Distinguished Dissertations. Num Pages: 174 pages, biography. BIC Classification: UMB; UYQV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 10. Weight in Grams: 294.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer London Ltd United Kingdom
Number of pages
174
Condition
New
Series
Distinguished Dissertations
Number of Pages
174
Place of Publication
England, United Kingdom
ISBN
9781447111764
SKU
V9781447111764
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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