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Video surveillance techniques and technologies

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Terdapat bibliografi dan indeks.

Chapter 1: Illumination Independent Moving Object Detection Algorithm

< >1. Introduction

< >2. The Shading Model Method

< >3. Background Updating

< >4. Experimental Results

< >5. Conclusion

Chapter 2: Improved Illumination Independent Moving Object Detection Algorithm

< >1. Introduction

< >2. Methodology

< >3. Experimental Results

< >4. Conclusion

Chapter 3: Application Of Improved Illumination Invariance Algorithm In Building Detection

< >1. Introduction

< >2. Illumination Invariant Detection Of Changing Image Areas

< >3. Building Detection Process

< >4. Experimental Results

< >5. Conclusion

Chapter 4: Multimedia Supported Intelligent Video Surveillance System

< >1. Introduction

< >2. System Configuration

< >3. Moving Object Detection Methods

< >4. Experimental Results

< >5. Conclusion

Chapter 5: Improved Spatial-Temporal Moving Object Detection Method Resistant to Noise

< >1. Introduction


< >2. Methodology

< >3. Experimental Results

< >4. Conclusion

Chapter 6: Improved Illumination Independent Moving Object Detection Algorithm Applied to Infrared Video Sequences

< >1. Introduction

< >2. Improved Noise Resistant Illumination Independent Moving Object Detection Algorithm

< >3. Experimental Results

< >4. Conclusion

Chapter 7: Classification Of Building Images In Video Sequences

< >1. Introduction

< >2. Edge-Based Building Image Classification

< >3. Changing Region Detection

< >4. Experimental Results

< >5. Conclusion

Chapter 8: Shape Recognition Methods Used for Complex Polygonal Shape Recognition

< >1. Introduction

< >2. Method Overview

< >3. Algorithm Overview

< >4. Experimental Results

< >5. Conclusion

Chapter 9: Nonlinear Diffusion Filters Combined with Triangle Method Used for Noise Removal from Polygonal Shapes

< >1. Introduction

< >2. The Turning Function

< >3. Improved Nonlinear Diffusion Filters

< >4. The Triangle Method

< >5. Experimental Results

< >6. Conclusion

Chapter 10: Algorithms for ISAR Image Recognition and Classification

< >1. Introduction

< >2. Principle Of Isar Imaging

< >3. Isar Images Classification Algorithms

< >4. Experimental Results

< >5. Conclusion

Chapter 11: Anthropometric Algorithm Used for Automatic Body Dimensions and Skin Color Detection Aimed for Homeland Security Systems

< >1. Introduction

< >2. Automatic Anthropometric Measurements Algorithm

< >3. Experimental Results

< >6. Conclusion

Chapter 12: Algorithm for Automated Iris Recognition Using Biorthogonal Wavelets

< >1. Introduction

< >2. Image Database

< >3. Biorthogonal Wavelets

< >4. Experimental Results

< >5. Conclusion

Chapter 13: Algorithm for Automatic Pattern Classification Designed for Real Metallographic Images

< >1. Introduction

< >2. Automatic pattern classification algorithm-image segmentation

< >3. Automatic pattern classification algorithm

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Availability

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Detail Information

Series Title

null

Call Number

621.389 ZEL v

Publisher

Hershey : IGI Global., 213

Collation

xviii, 349 hlm.; ilus.; 29 cm.

Language

English

ISBN/ISSN

9781466648975

Classification

621.389

Content Type

-

Media Type

-

Carrier Type

-

Edition

null

Subject(s)

Video Surveillance
Electronik Surveillance
Video Recording

Specific Detail Info

-

Statement of Responsibility

Vesna Zeljkovic

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