Items related to Information technologies for video object recognition:...
Synopsis
The monograph is devoted to developing methods and means of using AI to rapidly identify moving objects in a video data stream based on deep learning technologies. Classical and non-classical methods of AI, convolutional neural networks, computer vision and pattern recognition, and theories of control systems based on estimates and criteria of mathematical statistics are considered. As a result of recognition, we will determine the type of the recognized object and will have quantitative accuracy estimates. A method for applying templates has been implemented. The algorithm has information about what the required object looks like, what kind of background it may have, how specific contours of the object look and what positions they may be. It immediately considers a possible location of the object's detection. It allows you to achieve high recognition quality and has good performance. However, when the video camera captures several similar objects, different patterns are satisfied, and recognition decreases. A family of models (artificial neural networks) are used to estimate or approximate functions that may depend on many inputs and are usually unknown.
"synopsis" may belong to another edition of this title.
Search results for Information technologies for video object recognition:...
Stock Image
Information technologies for video object recognition: monograph
Published by
LAP Lambert Academic Publishing, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Softcover
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9783659864865_new
Quantity: Over 20 available
Stock Image
Information technologies for video object recognition (Paperback)
Published by
LAP Lambert Academic Publishing, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. The monograph is devoted to developing methods and means of using AI to rapidly identify moving objects in a video data stream based on deep learning technologies. Classical and non-classical methods of AI, convolutional neural networks, computer vision and pattern recognition, and theories of control systems based on estimates and criteria of mathematical statistics are considered. As a result of recognition, we will determine the type of the recognized object and will have quantitative accuracy estimates. A method for applying templates has been implemented. The algorithm has information about what the required object looks like, what kind of background it may have, how specific contours of the object look and what positions they may be. It immediately considers a possible location of the object's detection. It allows you to achieve high recognition quality and has good performance. However, when the video camera captures several similar objects, different patterns are satisfied, and recognition decreases. A family of models (artificial neural networks) are used to estimate or approximate functions that may depend on many inputs and are usually unknown. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9783659864865
Quantity: 1 available
Stock Image
Information technologies for video object recognition: monograph
Published by
LAP Lambert Academic Publishing, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Softcover
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9783659864865
Quantity: Over 20 available
Stock Image
Information technologies for video object recognition: monograph
Published by
LAP LAMBERT Academic Publishing Nov 2024, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 340 pp. Englisch. Seller Inventory # 9783659864865
Quantity: 2 available
Stock Image
Information technologies for video object recognition: monograph : Processing videos and images based on big data analysis and machine learning technology
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. Seller Inventory # 9783659864865
Quantity: 1 available
Stock Image
Information technologies for video object recognition (Paperback)
Published by
LAP Lambert Academic Publishing, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Paperback
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. The monograph is devoted to developing methods and means of using AI to rapidly identify moving objects in a video data stream based on deep learning technologies. Classical and non-classical methods of AI, convolutional neural networks, computer vision and pattern recognition, and theories of control systems based on estimates and criteria of mathematical statistics are considered. As a result of recognition, we will determine the type of the recognized object and will have quantitative accuracy estimates. A method for applying templates has been implemented. The algorithm has information about what the required object looks like, what kind of background it may have, how specific contours of the object look and what positions they may be. It immediately considers a possible location of the object's detection. It allows you to achieve high recognition quality and has good performance. However, when the video camera captures several similar objects, different patterns are satisfied, and recognition decreases. A family of models (artificial neural networks) are used to estimate or approximate functions that may depend on many inputs and are usually unknown. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9783659864865
Quantity: 1 available
Seller Image
Information technologies for video object recognition: monograph
Published by
LAP LAMBERT Academic Publishing Nov 2024, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The monograph is devoted to developing methods and means of using AI to rapidly identify moving objects in a video data stream based on deep learning technologies. Classical and non-classical methods of AI, convolutional neural networks, computer vision and pattern recognition, and theories of control systems based on estimates and criteria of mathematical statistics are considered. As a result of recognition, we will determine the type of the recognized object and will have quantitative accuracy estimates. A method for applying templates has been implemented. The algorithm has information about what the required object looks like, what kind of background it may have, how specific contours of the object look and what positions they may be. It immediately considers a possible location of the object's detection. It allows you to achieve high recognition quality and has good performance. However, when the video camera captures several similar objects, different patterns are satisfied, and recognition decreases. A family of models (artificial neural networks) are used to estimate or approximate functions that may depend on many inputs and are usually unknown.Books on Demand GmbH, Überseering 33, 22297 Hamburg 340 pp. Englisch. Seller Inventory # 9783659864865
Quantity: 1 available
Stock Image
Information technologies for video object recognition (Paperback)
Published by
LAP Lambert Academic Publishing, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Paperback
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. The monograph is devoted to developing methods and means of using AI to rapidly identify moving objects in a video data stream based on deep learning technologies. Classical and non-classical methods of AI, convolutional neural networks, computer vision and pattern recognition, and theories of control systems based on estimates and criteria of mathematical statistics are considered. As a result of recognition, we will determine the type of the recognized object and will have quantitative accuracy estimates. A method for applying templates has been implemented. The algorithm has information about what the required object looks like, what kind of background it may have, how specific contours of the object look and what positions they may be. It immediately considers a possible location of the object's detection. It allows you to achieve high recognition quality and has good performance. However, when the video camera captures several similar objects, different patterns are satisfied, and recognition decreases. A family of models (artificial neural networks) are used to estimate or approximate functions that may depend on many inputs and are usually unknown. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783659864865
Quantity: 1 available
Stock Image
Information technologies for video object recognition: monograph
Published by
LAP Lambert Academic Publishing, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26404163257
Quantity: 4 available
Stock Image
Information technologies for video object recognition: monograph
Published by
LAP Lambert Academic Publishing, 2024
ISBN 10: 3659864862
ISBN 13: 9783659864865
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 408991078
Quantity: 4 available