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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.
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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Paperback
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R367
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Discovery Miles 3 400
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