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Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

2015-03-11 Electronic computers. Computer science
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Release : 2015-03-11
Genre : Electronic computers. Computer science
Kind : eBook
Book Rating : 204/5 ( reviews)

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Book Synopsis Moving Object Detection and Segmentation for Remote Aerial Video Surveillance by : Teutsch, Michael

Download or read book Moving Object Detection and Segmentation for Remote Aerial Video Surveillance written by Teutsch, Michael. This book was released on 2015-03-11. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods.

Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

2020-10-09 Technology & Engineering
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Release : 2020-10-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 815/5 ( reviews)

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Book Synopsis Moving Object Detection and Segmentation for Remote Aerial Video Surveillance by : Michael Teutsch

Download or read book Moving Object Detection and Segmentation for Remote Aerial Video Surveillance written by Michael Teutsch. This book was released on 2020-10-09. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Handbook of Research on Intelligent Data Processing and Information Security Systems

2019-11-29 Computers
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Release : 2019-11-29
Genre : Computers
Kind : eBook
Book Rating : 928/5 ( reviews)

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Book Synopsis Handbook of Research on Intelligent Data Processing and Information Security Systems by : Bilan, Stepan Mykolayovych

Download or read book Handbook of Research on Intelligent Data Processing and Information Security Systems written by Bilan, Stepan Mykolayovych. This book was released on 2019-11-29. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent technologies have emerged as imperative tools in computer science and information security. However, advanced computing practices have preceded new methods of attacks on the storage and transmission of data. Developing approaches such as image processing and pattern recognition are susceptible to breaches in security. Modern protection methods for these innovative techniques require additional research. The Handbook of Research on Intelligent Data Processing and Information Security Systems provides emerging research exploring the theoretical and practical aspects of cyber protection and applications within computer science and telecommunications. Special attention is paid to data encryption, steganography, image processing, and recognition, and it targets professionals who want to improve their knowledge in order to increase strategic capabilities and organizational effectiveness. As such, this book is ideal for analysts, programmers, computer engineers, software engineers, mathematicians, data scientists, developers, IT specialists, academicians, researchers, and students within fields of information technology, information security, robotics, artificial intelligence, image processing, computer science, and telecommunications.

Moving Objects Detection Using Machine Learning

2022-01-01 Technology & Engineering
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Release : 2022-01-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 107/5 ( reviews)

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Book Synopsis Moving Objects Detection Using Machine Learning by : Navneet Ghedia

Download or read book Moving Objects Detection Using Machine Learning written by Navneet Ghedia. This book was released on 2022-01-01. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. In addition, the shows how the proposed algorithm makes use of parameter optimization and adaptive threshold techniques as intrinsic improvements of the Gaussian Mixture Model. The presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations were carried out in offline processing with the computation done by a single laptop computer with MATLAB serving as software environment.

Video-to-Video Face Recognition for Low-Quality Surveillance Data

2018-08-03 Electronic computers. Computer science
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Release : 2018-08-03
Genre : Electronic computers. Computer science
Kind : eBook
Book Rating : 994/5 ( reviews)

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Book Synopsis Video-to-Video Face Recognition for Low-Quality Surveillance Data by : Herrmann, Christian

Download or read book Video-to-Video Face Recognition for Low-Quality Surveillance Data written by Herrmann, Christian. This book was released on 2018-08-03. Available in PDF, EPUB and Kindle. Book excerpt: The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.

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