Roadside video data analysis : deep learning
This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems. It describes system architectures and methodologies that are specifically built upon learning...
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| Main Authors | , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Singapore :
Springer,
2017.
|
| Series | Studies in computational intelligence ;
v. 711. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9789811045394 9789811045387 |
| ISSN | 1860-949X ; |
| Physical Description | 1 online resource (xxv, 189 pages) : illustrations (some color) |
Cover
Table of Contents:
- Chapter 1: Introduction
- Chapter 2: Roadside Video Data Analysis Framework
- Chapter 3: Non-Deep Learning Techniques for Roadside Video Data Analysis
- Chapter 4: Deep Learning Techniques for Roadside Video Data Analysis
- Chapter 5: Case Study: Roadside Video Data Analysis for Fire Risk Assessment
- Chapter 6: Conclusion and Future Insight
- References.