Robust motion detection in real-life scenarios /
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| Format: | eBook |
| Language: | English |
| Published: |
London ; New York :
Springer,
[2012]
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| Series: | SpringerBriefs in computer science.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Robust Motion Detectionin Real-Life Scenarios; Preface; Acknowledgments; Contents; 1 Introduction; 1.1 Background Subtraction Overview; References; 2 Motion Detection in Static Backgrounds; 2.1 State of the Art; 2.2 Combination of Difference Approach; 2.3 Experimental Results; 2.3.1 Principles for Performance Evaluation and Comparison; 2.3.2 Experimental Results Over Image Datasets; 2.3.3 Experimental Results Over Our Own Dataset; 2.4 Conclusions; References; 3 Motion Detection in General Backgrounds; 3.1 State of the Art; 3.2 Mixture of Differences (MoD) Approach; 3.2.1 Training Period
- 3.2.2 Segmentation Period3.3 Experimental Results; 3.3.1 Experimental Results Over Image Datasets; 3.3.2 Experimental Results Over Our Own Dataset; 3.4 Conclusions; References; 4 Applications; 4.1 Biological Studies; 4.1.1 Introduction; 4.1.2 Animal Communication Analysis; 4.2 Traffic Flow Monitoring; 4.3 Human Action Recognition; 4.3.1 Introduction; 4.3.2 Sports Video Analysis; References; 5 Appendix: Computer Vision Concepts; 5.1 Color Spaces; 5.1.1 RGB Space; 5.1.2 HSI Color Space; 5.1.3 CIE Lab Space; 5.2 Thresholding Methods; 5.2.1 Basic Thresholding; 5.2.2 Band Thresholding
- 5.3 Connected Component Labeling5.4 Convolution; 5.5 Morphological Operations; 5.5.1 Basic Operations; References;