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...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2017.
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Σειρά: | Studies in Computational Intelligence,
711 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.