Ebook: Roadside Video Data Analysis: Deep Learning
- Tags: Signal Image and Speech Processing, Computational Intelligence, User Interfaces and Human Computer Interaction, Computer Imaging Vision Pattern Recognition and Graphics, Transportation Technology and Traffic Engineering
- Series: Studies in Computational Intelligence 711
- Year: 2017
- Publisher: Springer Singapore
- Edition: 1
- Language: English
- pdf
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.
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