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Hardcover - 9789811045387
128,39 €
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Beschreibung
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 concepts for roadside video data processing, and offers a detailed analysis of the segmentation, feature extraction and classification processes. Lastly, it demonstrates the applications of roadside video data analysis including scene labelling, roadside vegetation classification and vegetation biomass estimation in fire risk assessment.
Deep Learning
Deep Learning
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 12. Dezember 2018 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 335 Gramm |
| Format | Softcover |
| ISBN-13 | 9789811351624 |
| Auflage | Softcover reprint of the original 1st ed. 2017 |
| Seiten | 189 |
Schlagwörter
Bildverarbeitung, Computational Intelligence, Computer Imaging - Vision - Pattern Recognition and Graphics, Digitale Signalverarbeitung (DSP), Elektronik, Künstliche Intelligenz, Mensch-Computer-Interaktion, Signal - Speech and Image Processing, Transportation Technology and Traffic Engineering, User Interfaces and Human Computer Interaction, Verkehrsingenieurwesen - Verkehrsplanung
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