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Computer Vision Systems

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Cover of 'Computer Vision Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Knowing What Happened - Automatic Documentation of Image Analysis Processes
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    Chapter 2 Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video
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    Chapter 3 A Method for Asteroids 3D Surface Reconstruction from Close Approach Distances
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    Chapter 4 Computer Vision Systems
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    Chapter 5 A Quantitative Comparison of Speed and Reliability for Log-Polar Mapping Techniques
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    Chapter 6 Toward Accurate Feature Detectors Performance Evaluation
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    Chapter 7 Evaluation of Local Descriptors for Action Recognition in Videos
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    Chapter 8 On the Spatial Extents of SIFT Descriptors for Visual Concept Detection
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    Chapter 9 An Experimental Framework for Evaluating PTZ Tracking Algorithms
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    Chapter 10 Unsupervised Activity Extraction on Long-Term Video Recordings Employing Soft Computing Relations
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    Chapter 11 Unsupervised Discovery, Modeling, and Analysis of Long Term Activities
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    Chapter 12 Ontology-Based Realtime Activity Monitoring Using Beam Search
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    Chapter 13 Probabilistic Recognition of Complex Event
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    Chapter 14 Computer Vision Systems
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    Chapter 15 3D Saliency for Abnormal Motion Selection: The Role of the Depth Map
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    Chapter 16 Scene Understanding through Autonomous Interactive Perception
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    Chapter 17 A Cognitive Vision System for Nuclear Fusion Device Monitoring
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    Chapter 18 Knowledge Representation and Inference for Grasp Affordances
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    Chapter 19 Towards a General Abstraction through Sequences of Conceptual Operations
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    Chapter 20 Girgit: A Dynamically Adaptive Vision System for Scene Understanding
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    Chapter 21 Run Time Adaptation of Video-Surveillance Systems: A Software Modeling Approach
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    Chapter 22 Automatically Searching for Optimal Parameter Settings Using a Genetic Algorithm
Attention for Chapter 22: Automatically Searching for Optimal Parameter Settings Using a Genetic Algorithm
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Chapter title
Automatically Searching for Optimal Parameter Settings Using a Genetic Algorithm
Chapter number 22
Book title
Computer Vision Systems
Published by
Springer, Berlin, Heidelberg, September 2011
DOI 10.1007/978-3-642-23968-7_22
Book ISBNs
978-3-64-223967-0, 978-3-64-223968-7
Authors

David S. Bolme, J. Ross Beveridge, Bruce A. Draper, P. Jonathon Phillips, Yui Man Lui, Bolme, David S., Beveridge, J. Ross, Draper, Bruce A., Phillips, P. Jonathon, Lui, Yui Man

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Student > Master 6 29%
Professor 3 14%
Student > Bachelor 1 5%
Lecturer > Senior Lecturer 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Computer Science 10 48%
Engineering 7 33%
Chemistry 1 5%
Business, Management and Accounting 1 5%
Unknown 2 10%