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Roadside Video Data Analysis

Deep Learning. Studies in Computational Intelligence 711

Format: Hardback
Publisher: Springer Verlag, Singapore, Singapore, Singapore
Published: 5th May 2017
Dimensions: w 156mm h 234mm d 14mm
Weight: 483g
ISBN-10: 9811045380
ISBN-13: 9789811045387
Barcode No: 9789811045387
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Synopsis
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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