[PDF] Moving Object Detection And Segmentation For Remote Aerial Video Surveillance - eBooks Review

Moving Object Detection And Segmentation For Remote Aerial Video Surveillance


Moving Object Detection And Segmentation For Remote Aerial Video Surveillance
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Moving Object Detection And Segmentation For Remote Aerial Video Surveillance


Moving Object Detection And Segmentation For Remote Aerial Video Surveillance
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Author : Teutsch, Michael
language : en
Publisher: KIT Scientific Publishing
Release Date : 2015-03-11

Moving Object Detection And Segmentation For Remote Aerial Video Surveillance written by Teutsch, Michael and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-11 with Electronic computers. Computer science categories.


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


Moving Object Detection And Segmentation For Remote Aerial Video Surveillance
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Author : Michael Teutsch
language : en
Publisher:
Release Date : 2020-10-09

Moving Object Detection And Segmentation For Remote Aerial Video Surveillance written by Michael Teutsch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Technology & Engineering categories.


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


Handbook Of Research On Intelligent Data Processing And Information Security Systems
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Author : Bilan, Stepan Mykolayovych
language : en
Publisher: IGI Global
Release Date : 2019-11-29

Handbook Of Research On Intelligent Data Processing And Information Security Systems written by Bilan, Stepan Mykolayovych and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Computers categories.


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.



Video To Video Face Recognition For Low Quality Surveillance Data


Video To Video Face Recognition For Low Quality Surveillance Data
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Author : Herrmann, Christian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2018-08-03

Video To Video Face Recognition For Low Quality Surveillance Data written by Herrmann, Christian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-03 with Electronic computers. Computer science categories.


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.



Privacy Respecting Smart Video Surveillance Based On Usage Control Enforcement


Privacy Respecting Smart Video Surveillance Based On Usage Control Enforcement
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Author : Birnstill, Pascal
language : en
Publisher: KIT Scientific Publishing
Release Date : 2016-08-24

Privacy Respecting Smart Video Surveillance Based On Usage Control Enforcement written by Birnstill, Pascal and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-24 with Electronic computers. Computer science categories.


This research introduces a conceptual framework for enforcing privacy-related restrictions in smart video surveillance systems based on danger levels and incident types to be handled. It increases the selectivity of surveillance by restricting data processing to individuals associated to incidents under investigation. Constraints are enforced by usage control, which is instantiated for video surveillance for the first time and enables tailoring such systems to comply with data protection law.



Feature Based Probabilistic Data Association For Video Based Multi Object Tracking


Feature Based Probabilistic Data Association For Video Based Multi Object Tracking
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Author : Grinberg, Michael
language : en
Publisher: KIT Scientific Publishing
Release Date : 2018-08-10

Feature Based Probabilistic Data Association For Video Based Multi Object Tracking written by Grinberg, Michael and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-10 with categories.




Moving Objects Detection Using Machine Learning


Moving Objects Detection Using Machine Learning
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Author : Navneet Ghedia
language : en
Publisher: Springer Nature
Release Date : 2022-01-01

Moving Objects Detection Using Machine Learning written by Navneet Ghedia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.


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.



Deep Learning Based Vehicle Detection In Aerial Imagery


Deep Learning Based Vehicle Detection In Aerial Imagery
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Author : Sommer, Lars Wilko
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-02-09

Deep Learning Based Vehicle Detection In Aerial Imagery written by Sommer, Lars Wilko and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-09 with Computers categories.


This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.



Video Surveillance Techniques And Technologies


Video Surveillance Techniques And Technologies
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Author : Zeljkovic, Vesna
language : en
Publisher: IGI Global
Release Date : 2013-12-31

Video Surveillance Techniques And Technologies written by Zeljkovic, Vesna and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-31 with Computers categories.


"This book presents empirical research and acquired experience on the original solutions and mathematical algorithms for motion detection and object identification problems, emphasizing a wide variety of applications of security systems"--Provided by publisher.



Multimodal Panoptic Segmentation Of 3d Point Clouds


Multimodal Panoptic Segmentation Of 3d Point Clouds
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Author : Dürr, Fabian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-10-09

Multimodal Panoptic Segmentation Of 3d Point Clouds written by Dürr, Fabian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-09 with categories.


The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.