Hidden Markov Models

Applications In Computer Vision

Horst Bunke (-), Terry Michael Caelli (Univ Of Alberta, Canada)

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English

World Scientific Publishing Co Pte Ltd
07 June 2001

Mathematical modelling; Computer vision

Series: Series In Machine Perception And Artificial Intelligence

Summary
Details

Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking and image database retrieval.

Edited by: Horst Bunke (-), Terry Michael Caelli (Univ Of Alberta, Canada)
Imprint: World Scientific Publishing Co Pte Ltd
Country of Publication: Singapore
Volume: 45
Dimensions: Height: 230mm, Width: 160mm, Spine: 18mm
Weight: 544g
ISBN: 9789810245641
ISBN 10: 9810245645
Series: Series In Machine Perception And Artificial Intelligence
Pages: 244
Publication Date: 07 June 2001
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active