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Statistical Learning and Pattern Analysis for Image and Video Processing

Nanning Zheng, Jianru Xue (Autoren)

Buch | Hardcover

365 Seiten

2010
Springer London Ltd (Verlag)
978-1-84882-311-2 (ISBN)

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Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing ?elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.

Pattern Analysis and Statistical Learning.- Unsupervised Learning for Visual Pattern Analysis.- Component Analysis.- Manifold Learning.- Functional Approximation.- Supervised Learning for Visual Pattern Classification.- Statistical Motion Analysis.- Bayesian Tracking of Visual Objects.- Probabilistic Data Fusion for Robust Visual Tracking.- Multitarget Tracking in Video-Part I.- Multi-Target Tracking in Video – Part II.- Information Processing in Cognition Process and New Artificial Intelligent Systems.

Erscheint lt. Verlag	16.4.2010
Reihe/Serie	Advances in Pattern Recognition
Zusatzinfo	XVI, 365 p.
Verlagsort	England
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	1-84882-311-8 / 1848823118
ISBN-13	978-1-84882-311-2 / 9781848823112
Zustand	Neuware