Druck auf Anfrage Neuware - Printed after ordering - This book is the first overview book on video surveillance issues within airport grounds. It delves into the distinctive design principles underpinning computer vision algorithms tailored specifically for airport ground video surveillance, while also documenting the latest advancements within this domain.The initial section of this book introduces a comprehensive array of airport ground video surveillance datasets, encompassing the AGVS series alongside other pertinent datasets. Subsequently, the second section delves into the ongoing research endeavors on airport-ground-oriented computer vision algorithms, examining segmentation, recognition, and tracking methodologies. Lastly, the book's third segment elucidates the design methodologies and exemplary use cases of airport ground video surveillance applications.Written by the authors intimately involved in creating the datasets, algorithms, and applications outlined within, this book stands as an indispensable reference for researchers and graduate students operating within the realm of intelligent transportation.

Bestandsnummer des Verk�ufers 9789819623099

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Bibliografische Details

Titel: Airport Ground Video Surveillance : Algorithms and Applications
Verlag: Springer Nature Singapore, Springer Nature Singapore
Erscheinungsjahr: 2025
Sprache: Englisch
ISBN-10: 981962309X
ISBN-13: 9789819623099
Einband: Taschenbuch
Zustand: Neu

�ber diesen Titel

Inhaltsangabe

This book is the first overview book on video surveillance issues within airport grounds. It delves into the distinctive design principles underpinning computer vision algorithms tailored specifically for airport ground video surveillance, while also documenting the latest advancements within this domain.

The initial section of this book introduces a comprehensive array of airport ground video surveillance datasets, encompassing the AGVS series alongside other pertinent datasets. Subsequently, the second section delves into the ongoing research endeavors on airport-ground-oriented computer vision algorithms, examining segmentation, recognition, and tracking methodologies. Lastly, the book’s third segment elucidates the design methodologies and exemplary use cases of airport ground video surveillance applications.

Written by the authors intimately involved in creating the datasets, algorithms, and applications outlined within, this book stands as an indispensable reference for researchers and graduate students operating within the realm of intelligent transportation.

�ber die Autorin bzw. den Autor

Xiang Zhang is an associate professor at the University of Electronic Science and Technology of China. His research interests include computer vision and intelligent transportation. Xiang Zhang has conducted extensive research on intelligent airports, pioneering the design principles of computer vision algorithms for airport ground video surveillance. Collaborating with The Second Research Institute of Civil Aviation Administration of China, Xiang Zhang has contributed to the creation of multiple airport ground video surveillance applications. His research achievements have been recognized with several prestigious awards, including the First Prize of the China Intelligent Transportation Association in 2019 and the Second Prize of the China Society of Image and Graphics in 2018.

Honggang Wu is the chief engineer of the Second Research Institute of Civil Aviation Administration of China. He has led several national projects in the direction of intelligent airports, including the National Key R&D Program Project and the Key Project of Natural Science Foundation of China.

Guoqiang Wang is the director of the Research and Development Center of the Second Research Institute of Civil Aviation Administration of China. He has actively contributed in a number of national projects focusing on intelligent airports, including the National Key R&D Program Project of China.

Jian Cheng is a professor at the University of Electronic Science and Technology of China. His research interests include computer vision, machine learning, and artificial intelligence.

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