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  • 1
    Online Resource
    Online Resource
    London, United Kingdom : IntechOpen
    UID:
    b3kat_BV048995548
    Format: 1 Online-Ressource
    ISBN: 9781837682119 , 9781837682102
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-83769-987-2
    Language: English
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV048658325
    Format: 1 Online-Ressource , Illustrationen, Diagramme
    ISBN: 9781839694622 , 9781839694615
    Series Statement: IntechOpen book series. Artificial intelligence 11
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-83969-460-8
    Language: English
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    edoccha_9960947838102883
    Format: 1 online resource (212 pages)
    ISBN: 1-83969-461-0
    Content: The research on computer vision systems has been increasing every day and has led to the design of multiple types of these systems with innumerous applications in our daily life. The recent advances in artificial intelligence, together with the huge amount of digital visual data now available, have boosted vision system performance in several ways. Information extraction and visual object tracking are essential tasks in the field of computer vision with a huge number of real-world applications.This book is a result of research done by several researchers and professionals who have highly contributed to the field of image processing. It contains eight chapters divided into three sections. Section 1 consists of four chapters focusing on the problem of visual tracking. Section 2 includes three chapters focusing on information extraction from images. Finally, Section 3 includes one chapter that presents new advances in image sensors.
    Note: 1. Object Tracking Using Adapted Optical Flow. 2. Siamese-Based Attention Learning Networks for Robust Visual Object Tracking. 3. Robust Template Update Strategy for Efficient Visual Object Tracking. 4. Cognitive Visual Tracking of Hand Gestures in Real-Time RGB Videos. 5. Thresholding Image Techniques for Plant Segmentation. 6. A Study on Traditional and CNN Based Computer Vision Sensors for Detection and Recognition of Road Signs with Realization for ADAS. 7. Smart-Road: Road Damage Estimation Using a Mobile Device. 8. Adsorption-Semiconductor Sensor Based on Nanosized SnO2 for Early Warning of Indoor Fires.
    Additional Edition: ISBN 1-83969-460-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    almahu_9949712248102882
    Format: 1 online resource (212 pages)
    ISBN: 1-83969-461-0
    Content: The research on computer vision systems has been increasing every day and has led to the design of multiple types of these systems with innumerous applications in our daily life. The recent advances in artificial intelligence, together with the huge amount of digital visual data now available, have boosted vision system performance in several ways. Information extraction and visual object tracking are essential tasks in the field of computer vision with a huge number of real-world applications.This book is a result of research done by several researchers and professionals who have highly contributed to the field of image processing. It contains eight chapters divided into three sections. Section 1 consists of four chapters focusing on the problem of visual tracking. Section 2 includes three chapters focusing on information extraction from images. Finally, Section 3 includes one chapter that presents new advances in image sensors.
    Note: 1. Object Tracking Using Adapted Optical Flow. 2. Siamese-Based Attention Learning Networks for Robust Visual Object Tracking. 3. Robust Template Update Strategy for Efficient Visual Object Tracking. 4. Cognitive Visual Tracking of Hand Gestures in Real-Time RGB Videos. 5. Thresholding Image Techniques for Plant Segmentation. 6. A Study on Traditional and CNN Based Computer Vision Sensors for Detection and Recognition of Road Signs with Realization for ADAS. 7. Smart-Road: Road Damage Estimation Using a Mobile Device. 8. Adsorption-Semiconductor Sensor Based on Nanosized SnO2 for Early Warning of Indoor Fires.
    Additional Edition: ISBN 1-83969-460-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    edocfu_9960947838102883
    Format: 1 online resource (212 pages)
    ISBN: 1-83969-461-0
    Content: The research on computer vision systems has been increasing every day and has led to the design of multiple types of these systems with innumerous applications in our daily life. The recent advances in artificial intelligence, together with the huge amount of digital visual data now available, have boosted vision system performance in several ways. Information extraction and visual object tracking are essential tasks in the field of computer vision with a huge number of real-world applications.This book is a result of research done by several researchers and professionals who have highly contributed to the field of image processing. It contains eight chapters divided into three sections. Section 1 consists of four chapters focusing on the problem of visual tracking. Section 2 includes three chapters focusing on information extraction from images. Finally, Section 3 includes one chapter that presents new advances in image sensors.
    Note: 1. Object Tracking Using Adapted Optical Flow. 2. Siamese-Based Attention Learning Networks for Robust Visual Object Tracking. 3. Robust Template Update Strategy for Efficient Visual Object Tracking. 4. Cognitive Visual Tracking of Hand Gestures in Real-Time RGB Videos. 5. Thresholding Image Techniques for Plant Segmentation. 6. A Study on Traditional and CNN Based Computer Vision Sensors for Detection and Recognition of Road Signs with Realization for ADAS. 7. Smart-Road: Road Damage Estimation Using a Mobile Device. 8. Adsorption-Semiconductor Sensor Based on Nanosized SnO2 for Early Warning of Indoor Fires.
    Additional Edition: ISBN 1-83969-460-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    London :IntechOpen,
    UID:
    edocfu_9961133554802883
    Format: 1 online resource (150 pages)
    ISBN: 1-83768-210-0
    Content: Vision Sensors - Recent Advances reflects a selection of recent developments within the area of vision sensors and their algorithms. Among the image processing techniques involving the use of vision sensors are image measurement, image analysis, image transformation, image filtering, segmentation algorithms, supervised and unsupervised algorithms for classification, image recognition and parallel computing, and real-time algorithms. Recent literature reviews vision sensors with applications for localization of robot end effectors, panoramic vision sensors, wireless vision sensors, automated vision sensor inspection, multi-sensor imaging for medical data, and object recognition. This book brings together the work of a number of researchers and professionals who have made significant contributions to the field of vision sensors with image processing applications.
    Note: 1. Usage of RGB-D Multi-Sensor Imaging System for Medical Applications -- 2. Multi-Object Recognition Using a Feature Descriptor and Neural Classifier -- 3. EEG and MRI Processing for Alzheimer's Diseases -- 4. Saliency Detection from Subitizing Processing -- 5. The Use of Leap Motion in Manual Dexterity Testing by the Box and Blocks Test: A Review Study -- 6. Precise 6DOF Localization of Robot End Effectors Using 3D Vision and Registration without Referencing Targets -- 7. A Cognitive Digital-Optical Architecture for Object Recognition Applications in Remote Sensing.
    Additional Edition: ISBN 1-83769-987-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Online Resource
    Online Resource
    London :IntechOpen,
    UID:
    almahu_9949712156602882
    Format: 1 online resource (150 pages)
    ISBN: 1-83768-210-0
    Content: Vision Sensors - Recent Advances reflects a selection of recent developments within the area of vision sensors and their algorithms. Among the image processing techniques involving the use of vision sensors are image measurement, image analysis, image transformation, image filtering, segmentation algorithms, supervised and unsupervised algorithms for classification, image recognition and parallel computing, and real-time algorithms. Recent literature reviews vision sensors with applications for localization of robot end effectors, panoramic vision sensors, wireless vision sensors, automated vision sensor inspection, multi-sensor imaging for medical data, and object recognition. This book brings together the work of a number of researchers and professionals who have made significant contributions to the field of vision sensors with image processing applications.
    Note: 1. Usage of RGB-D Multi-Sensor Imaging System for Medical Applications -- 2. Multi-Object Recognition Using a Feature Descriptor and Neural Classifier -- 3. EEG and MRI Processing for Alzheimer's Diseases -- 4. Saliency Detection from Subitizing Processing -- 5. The Use of Leap Motion in Manual Dexterity Testing by the Box and Blocks Test: A Review Study -- 6. Precise 6DOF Localization of Robot End Effectors Using 3D Vision and Registration without Referencing Targets -- 7. A Cognitive Digital-Optical Architecture for Object Recognition Applications in Remote Sensing.
    Additional Edition: ISBN 1-83769-987-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    Online Resource
    Online Resource
    London :IntechOpen,
    UID:
    edoccha_9961133554802883
    Format: 1 online resource (150 pages)
    ISBN: 1-83768-210-0
    Content: Vision Sensors - Recent Advances reflects a selection of recent developments within the area of vision sensors and their algorithms. Among the image processing techniques involving the use of vision sensors are image measurement, image analysis, image transformation, image filtering, segmentation algorithms, supervised and unsupervised algorithms for classification, image recognition and parallel computing, and real-time algorithms. Recent literature reviews vision sensors with applications for localization of robot end effectors, panoramic vision sensors, wireless vision sensors, automated vision sensor inspection, multi-sensor imaging for medical data, and object recognition. This book brings together the work of a number of researchers and professionals who have made significant contributions to the field of vision sensors with image processing applications.
    Note: 1. Usage of RGB-D Multi-Sensor Imaging System for Medical Applications -- 2. Multi-Object Recognition Using a Feature Descriptor and Neural Classifier -- 3. EEG and MRI Processing for Alzheimer's Diseases -- 4. Saliency Detection from Subitizing Processing -- 5. The Use of Leap Motion in Manual Dexterity Testing by the Box and Blocks Test: A Review Study -- 6. Precise 6DOF Localization of Robot End Effectors Using 3D Vision and Registration without Referencing Targets -- 7. A Cognitive Digital-Optical Architecture for Object Recognition Applications in Remote Sensing.
    Additional Edition: ISBN 1-83769-987-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    UID:
    edoccha_9961125996202883
    Format: 1 online resource (210 pages)
    Content: The research on computer vision systems has been increasing every day and has led to the design of multiple types of these systems with innumerous applications in our daily life. The recent advances in artificial intelligence, together with the huge amount of digital visual data now available, have boosted vision system performance in several ways. Information extraction and visual object tracking are essential tasks in the field of computer vision with a huge number of real-world applications.This book is a result of research done by several researchers and professionals who have highly contributed to the field of image processing. It contains eight chapters divided into three sections. Section 1 consists of four chapters focusing on the problem of visual tracking. Section 2 includes three chapters focusing on information extraction from images. Finally, Section 3 includes one chapter that presents new advances in image sensors.
    Additional Edition: ISBN 1-83969-462-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    UID:
    edocfu_9961125996202883
    Format: 1 online resource (210 pages)
    Content: The research on computer vision systems has been increasing every day and has led to the design of multiple types of these systems with innumerous applications in our daily life. The recent advances in artificial intelligence, together with the huge amount of digital visual data now available, have boosted vision system performance in several ways. Information extraction and visual object tracking are essential tasks in the field of computer vision with a huge number of real-world applications.This book is a result of research done by several researchers and professionals who have highly contributed to the field of image processing. It contains eight chapters divided into three sections. Section 1 consists of four chapters focusing on the problem of visual tracking. Section 2 includes three chapters focusing on information extraction from images. Finally, Section 3 includes one chapter that presents new advances in image sensors.
    Additional Edition: ISBN 1-83969-462-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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