Object Detection and Recognition in Digital Images: Theory and Practice

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9780470976371: Object Detection and Recognition in Digital Images: Theory and Practice
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Provides examples of applications of object detection and recognition, along with the working examples of code for solutions to real computer vision problems Object Detection and Recognition in Digital Images addresses key problems of CV focusing on the significant issues of object detection, tracking, and recognition in images, which are not easily found in other CV books. Chapters included are dedicated to tensor methods in computer vision, classification methods and algorithms, detection and tracking, and recognition. Throughout the book content is balanced between theory, implementation and case studies in order to provide a complete and accessible treatment of the topic. Explanations of the main theoretical ideas behind each method are provided for a thorough understanding which are augmented with a rigorous mathematical derivation of the formulas, and demonstrated working in real applications. Featured case studies focus on practical applications of the discussed methods including problems of skin and face detection, pedestrian detection, road signs recognition, hand gesture recognition, blind people navigation, and traffic surveillance. Discusses the most significant and up-to-date methods of object detection and recognition. Offers a balanced treatment between theory, implementation (mainly C++ of crucial algorithms, with some algorithms in MATLAB) and case studies detailing practical applications of the discussed methods. Companion website hosting software, example data files, test images, colour images, as well as additional material such as software manual, and solutions to exercises.

From the Publisher:

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 postgraduate students working in computer vision and related fields.

Key features: * Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. * Places an emphasis on tensor and statistical based approaches within object detection and recognition. * Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. * Contains numerous case study examples of mainly automotive applications. * Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.

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Cyganek, Boguslaw
Editorial: John Wiley and Sons Ltd, United States (2013)
ISBN 10: 0470976373 ISBN 13: 9780470976371
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Descripción John Wiley and Sons Ltd, United States, 2013. Hardback. Estado de conservación: New. New.. 246 x 174 mm. Language: English . Brand New Book. 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 postgraduate students working in computer vision and related fields. Key features: * Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. * Places an emphasis on tensor and statistical based approaches within object detection and recognition. * Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. * Contains numerous case study examples of mainly automotive applications. * Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform. Nº de ref. de la librería AAH9780470976371

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Cyganek, Boguslaw
Editorial: John Wiley and Sons Ltd, United States (2013)
ISBN 10: 0470976373 ISBN 13: 9780470976371
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Descripción John Wiley and Sons Ltd, United States, 2013. Hardback. Estado de conservación: New. New.. 246 x 174 mm. Language: English . Brand New Book. 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 postgraduate students working in computer vision and related fields. Key features: * Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. * Places an emphasis on tensor and statistical based approaches within object detection and recognition. * Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. * Contains numerous case study examples of mainly automotive applications. * Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform. Nº de ref. de la librería AAH9780470976371

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