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The book describes a system for visual surveillance using intelligent cameras. The camera uses robust techniques for detecting and tracking moving objects. The real time capture of the objects is then stored in the database. The tracking data stored in the database is analysed to study the camera view, detect and track objects, and study object behavior. These set of models provide a robust framework for coordinating the tracking of objects between overlapping and non-overlapping cameras, and recording the activity of objects detected by the system.

Wide Area Surveillance

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

WIDE AREA SURVEILLANCE

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Editorial Board.
Title Page.
Copyright Page.
Preface.
Contents.
Editor Biography.
1: Background Subtraction: Theory and Practice.
2: Moving Cast Shadows Detection Methods for Video Surveillance Applications.
3: Moving Object Detection and Tracking in Wide Area Motion Imagery.
4: Recognizing Complex Human Activities via Crowd Context.
5: Event Based Switched Dynamic Bayesian Networks for Autonomous Cognitive Crowd Monitoring.
6: Unified Face Representation for Individual Recognition in Surveillance Videos.
7: Person Re-identification in Wide Area Camera Networks.
8: Opportunities and Challenges of Terrain Aided Navigation Systems for Aerial Surveillance by Unmanned Aerial Vehicles.
9: Automatic Target Recognition in Multispectral and Hyperspectral Imagery Via Joint Transform Correlation.
10: An Overview of Distributed Tracking and Control in Camera Networks.
Index.

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Wide Area Surveillance