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Roadside Video Data Analysis: Deep Learning - David Stockwell,Brijesh Verma,Ligang Zhang

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2017-05-05
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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 extr ... Visas aprašymas

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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.

Daugiau informacijos

Autorius David Stockwell, Brijesh Verma, Ligang Zhang
Leidėjas Springer Nature Singapore
Series Studies in Computational Intelligence
Išleidimo metai 2017
Viršelio tipas Kieti viršeliai
EAN 9789811045387
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148,48 € 197,98 €