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.
| ISBN: | 9789811045387 |
| Publication date: | 5th May 2017 |
| Author: | Brijesh Verma, Ligang Zhang, David Stockwell |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Hardback |
| Pagination: | 189 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Electronics engineering Highway and traffic engineering Artificial intelligence Digital signal processing (DSP) Image processing Human–computer interaction |