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Contextual Analysis of Videos by Myo Thida, How-lung Eng, Dorothy Monekosso, Paolo Remagnino (Paperback, 2013)

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Video context analysis is an active and vibrant research area, which provides means for extracting, analyzing and understanding behavior of a single target and multiple targets. Over the last few decades, computer vision researchers have been working to improve the accuracy and robustness of algorithms to analyse the context of a video automatically. In general, the research work in this area can be categorized into three major topics: 1) counting number of people in the scene 2) tracking individuals in a crowd and 3) understanding behavior of a single target or multiple targets in the scene. This book focusses on tracking individual targets and detecting abnormal behavior of a crowd in a complex scene. Firstly, this book surveys the state-of-the-art methods for tracking multiple targets in a complex scene and describes the authors' approach for tracking multiple targets. The proposed approach is to formulate the problem of multi-target tracking as an optimization problem of finding dynamic optima (pedestrians) where these optima interact frequently. A novel particle swarm optimization (PSO) algorithm that uses a set of multiple swarms is presented. Through particles and swarms diversification, motion prediction is introduced into the standard PSO, constraining swarm members to the most likely region in the search space. The social interaction among swarm and the output from pedestrians-detector are also incorporated into the velocity-updating equation. This allows the proposed approach to track multiple targets in a crowded scene with severe occlusion and heavy interactions among targets. The second part of this book discusses the problem of detecting and localising abnormal activities in crowded scenes. We present a spatio-temporal Laplacian Eigenmap method for extracting different crowd activities from videos. This method learns the spatial and temporal variations of local motions in an embedded space and employs representatives of different activities to construct the model which characterises the regular behavior of a crowd. This model of regular crowd behavior allows for the detection of abnormal crowd activities both in local and global context and the localization of regions which show abnormal behavior. The last chapter suggests a number of research directions to be pursued for future work.

Product Identifiers

Publisher
Morgan & Claypool Publishers
ISBN-13
9781627051668
eBay Product ID (ePID)
190030925

Product Key Features

Author
MYO Thida, How-Lung Eng, Dorothy Monekosso, Paolo Remagnino
Publication Name
Contextual Analysis of Videos
Format
Paperback
Language
English
Subject
Engineering & Technology
Publication Year
2013
Type
Textbook
Number of Pages
102 Pages

Dimensions

Item Height
235mm
Item Width
191mm
Item Weight
210g

Additional Product Features

Title_Author
Dorothy Monekosso, Paolo Remagnino, MYO Thida, How-Lung Eng
Series Title
Synthesis Lectures on Image, Video, and Multimedia Processing
Country/Region of Manufacture
United States

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Contextual Analysis of Videos by Myo Thida, How-lung Eng, Dorothy Monekosso, Paolo Remagnino (Paperback, 2013)

About this product

Product Information

Product Identifiers

Product Key Features

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Additional Product Features

Best Selling in Adult Learning & University

Permaculture: A Designer's Manual by Bill Mollison (Hardcover, 1988)

Australian Native Bee Book: Keeping Stingless Bee Hives for Pets, Pollination and Sugarbag Honey by Tim Heard (Paperback, 2015)

The Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by Adam Grubb, Annie Raser-Rowland (2012, Paperback)

Empire of the Summer Moon: Quanah Parker and the Rise and Fall of the Comanches, the Most Powerful Indian Tribe in American History by S.C. Gwynne (Paperback, 2011)

Botanical Field Guide by Stefan Mager (Fold-out book or chart, 2021)

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The Hundred Years' War on Palestine: A History of Settler Colonial Conquest and Resistance by Rashid I. Khalidi (Paperback, 2020)

Save on Adult Learning & University

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