Stochastic Algorithms for Visual Tracking 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Maccormick, F. 作者

Springer Verlag

译者

出版日期

174 页数

$ 134.47 价格

HRD

丛书系列

9781852336011 图书编码

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发表于2024-12-25

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Stochastic Algorithms for Visual Tracking 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Stochastic Algorithms for Visual Tracking 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Stochastic Algorithms for Visual Tracking 在线电子书图书描述

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.

Stochastic Algorithms for Visual Tracking 在线电子书下载 mobi epub pdf txt 在线电子书下载

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