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Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments

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Release : 2021-09-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 683/5 ( reviews)

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Book Synopsis Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments by : Marcin Woźniak

Download or read book Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments written by Marcin Woźniak. This book was released on 2021-09-01. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –

Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments

Download Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments PDF Online Free

Author :
Release : 2021
Genre :
Kind : eBook
Book Rating : 693/5 ( reviews)

GET EBOOK


Book Synopsis Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments by : Marcin Woźniak

Download or read book Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments written by Marcin Woźniak. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland -

Visual Object Recognition

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Release : 2022-05-31
Genre : Computers
Kind : eBook
Book Rating : 533/5 ( reviews)

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Book Synopsis Visual Object Recognition by : Kristen Thielscher

Download or read book Visual Object Recognition written by Kristen Thielscher. This book was released on 2022-05-31. Available in PDF, EPUB and Kindle. Book excerpt: The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions

Feature Detectors and Motion Detection in Video Processing

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Release : 2016-10-25
Genre : Computers
Kind : eBook
Book Rating : 265/5 ( reviews)

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Book Synopsis Feature Detectors and Motion Detection in Video Processing by : Dey, Nilanjan

Download or read book Feature Detectors and Motion Detection in Video Processing written by Dey, Nilanjan. This book was released on 2016-10-25. Available in PDF, EPUB and Kindle. Book excerpt: Video is one of the most important forms of multimedia available, as it is utilized for security purposes, to transmit information, promote safety, and provide entertainment. As motion is the most integral element in videos, it is important that motion detection systems and algorithms meet specific requirements to achieve accurate detection of real time events. Feature Detectors and Motion Detection in Video Processing explores innovative methods and approaches to analyzing and retrieving video images. Featuring empirical research and significant frameworks regarding feature detectors and descriptor algorithms, the book is a critical reference source for professionals, researchers, advanced-level students, technology developers, and academicians.

Object Detection with Deep Learning Models

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Author :
Release : 2022-11-01
Genre : Computers
Kind : eBook
Book Rating : 795/5 ( reviews)

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Book Synopsis Object Detection with Deep Learning Models by : S Poonkuntran

Download or read book Object Detection with Deep Learning Models written by S Poonkuntran. This book was released on 2022-11-01. Available in PDF, EPUB and Kindle. Book excerpt: Object Detection with Deep Learning Models 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 applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection

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