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This book explores intelligent object detection technology in industrial workshop scenarios in depth, evaluating its potential to transform traditional manual operations into digital, networked, and intelligent paradigms by serving as the "perceptual core" of smart workshops. It provides fundamental...
In the ever-evolving field of computer vision, "Deep Learning for Object Detection and Localization" serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically ta...
The ability to extract generic 3D objects from images is a crucial step towards automation of a variety of problems in cartographic database compilation, industrial inspection and assembly, and autonomous navigation. Many of these problem domains do not have strong constraints on object shape or...
Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgr...
This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its app...
This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodolog...
This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodolog...
This book explores intelligent object detection technology in industrial workshop scenarios in depth, evaluating its potential to transform traditional manual operations into digital, networked, and intelligent paradigms by serving as the "perceptual core" of smart workshops. It provides fundamental...
The ability to extract generic 3D objects from images is a crucial step towards automation of a variety of problems in cartographic database compilation, industrial inspection and assembly, and autonomous navigation. Many of these problem domains do not have strong constraints on object shape or...
Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgr...
This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its app...
The ability to extract generic 3D objects from images is a crucial step towards automation of a variety of problems in cartographic database compilation, industrial inspection and assembly, and autonomous navigation. Many of these problem domains do not have strong constraints on object shape or...
In the ever-evolving field of computer vision, "Deep Learning for Object Detection and Localization" serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically ta...
This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its app...
Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgr...
A wide-angle fisheye lens projects strong visual distortion on the image plane. Different from the perspective projection, the fisheye projection shows the object shape variations comparing with the human’s visual observation. It is challenging to recognize distorted objects either by the human be...
Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amoun...