Computer vision based on machine learning technology: monograph : Information technology for computer vision based on neural networks, artificial intelligence, video/image recognition

Victoria Vysotska

ISBN 10: 6204983180 / ISBN 13: 9786204983189

Verlag: LAP LAMBERT Academic Publishing, 2025

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - The monograph is devoted to the development of computer vision methods and tools using AI for fast identification of moving objects in a video data stream based on deep learning technologies. Classical and non-classical methods of artificial intelligence, convolutional neural networks, computer vision and image recognition, and theories of control systems based on estimates and criteria of mathematical statistics are considered. As a result of recognition, the type of recognised object is determined, and quantitative accuracy estimates are calculated. A method of applying templates is implemented. The algorithm has information about what the sought object looks like, what background it may have, what specific contours of the object look like and in what position they are. The possible location of the object detection is immediately taken into account. It allows for the achievement of high recognition quality and good performance. When a video camera shoots several similar objects, different templates are satisfied, and recognition decreases. Artificial neural network models are used to estimate or approximate functions that may depend on many inputs and are usually unknown.

Bestandsnummer des Verkäufers 9786204983189

Bibliografische Details

• Titel: Computer vision based on machine learning technology: monograph : Information technology for computer vision based on neural networks, artificial intelligence, video/image recognition
• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-10: 6204983180
• ISBN-13: 9786204983189
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 220B x 150 H x 25 T Millimeter Breite: 220 mm, Höhe: 150 mm, Tiefe: 25 mm
• Gewicht: 608 Gramm

Über diesen Titel

Inhaltsangabe

The monograph is devoted to the development of computer vision methods and tools using AI for fast identification of moving objects in a video data stream based on deep learning technologies. Classical and non-classical methods of artificial intelligence, convolutional neural networks, computer vision and image recognition, and theories of control systems based on estimates and criteria of mathematical statistics are considered. As a result of recognition, the type of recognised object is determined, and quantitative accuracy estimates are calculated. A method of applying templates is implemented. The algorithm has information about what the sought object looks like, what background it may have, what specific contours of the object look like and in what position they are. The possible location of the object detection is immediately taken into account. It allows for the achievement of high recognition quality and good performance. When a video camera shoots several similar objects, different templates are satisfied, and recognition decreases. Artificial neural network models are used to estimate or approximate functions that may depend on many inputs and are usually unknown.