Moving Object Detection And Segmentation For Remote Aerial Video Surveillance

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Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

Author : Teutsch, Michael
Publisher : KIT Scientific Publishing
ISBN 13 : 3731503204
Total Pages : 242 pages
Book Rating : 4.7/5 (315 download)

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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 and published by KIT Scientific Publishing. This book was released on 2015-03-11 with total page 242 pages. 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

Author : Michael Teutsch
Publisher :
ISBN 13 : 9781013281815
Total Pages : 234 pages
Book Rating : 4.2/5 (818 download)

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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 and published by . This book was released on 2020-10-09 with total page 234 pages. 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

Author : Bilan, Stepan Mykolayovych
Publisher : IGI Global
ISBN 13 : 1799812928
Total Pages : 434 pages
Book Rating : 4.7/5 (998 download)

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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 and published by IGI Global. This book was released on 2019-11-29 with total page 434 pages. 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

Author : Navneet Ghedia
Publisher : Springer Nature
ISBN 13 : 3030909107
Total Pages : 91 pages
Book Rating : 4.0/5 (39 download)

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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 and published by Springer Nature. This book was released on 2022-01-01 with total page 91 pages. 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

Author : Herrmann, Christian
Publisher : KIT Scientific Publishing
ISBN 13 : 3731507994
Total Pages : 180 pages
Book Rating : 4.7/5 (315 download)

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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 and published by KIT Scientific Publishing. This book was released on 2018-08-03 with total page 180 pages. 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.

Privacy-Respecting Smart Video Surveillance Based on Usage Control Enforcement

Author : Birnstill, Pascal
Publisher : KIT Scientific Publishing
ISBN 13 : 373150538X
Total Pages : 268 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Privacy-Respecting Smart Video Surveillance Based on Usage Control Enforcement by : Birnstill, Pascal

Download or read book Privacy-Respecting Smart Video Surveillance Based on Usage Control Enforcement written by Birnstill, Pascal and published by KIT Scientific Publishing. This book was released on 2016-08-24 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Grinberg, Michael
Publisher : KIT Scientific Publishing
ISBN 13 : 3731507811
Total Pages : 296 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking by : Grinberg, Michael

Download or read book Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking written by Grinberg, Michael and published by KIT Scientific Publishing. This book was released on 2018-08-10 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.

Deep Learning based Vehicle Detection in Aerial Imagery

Author : Sommer, Lars Wilko
Publisher : KIT Scientific Publishing
ISBN 13 : 3731511134
Total Pages : 276 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Deep Learning based Vehicle Detection in Aerial Imagery by : Sommer, Lars Wilko

Download or read book Deep Learning based Vehicle Detection in Aerial Imagery written by Sommer, Lars Wilko and published by KIT Scientific Publishing. This book was released on 2022-02-09 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multimodal Panoptic Segmentation of 3D Point Clouds

Author : Dürr, Fabian
Publisher : KIT Scientific Publishing
ISBN 13 : 3731513145
Total Pages : 248 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Multimodal Panoptic Segmentation of 3D Point Clouds by : Dürr, Fabian

Download or read book Multimodal Panoptic Segmentation of 3D Point Clouds written by Dürr, Fabian and published by KIT Scientific Publishing. This book was released on 2023-10-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Dynamic Switching State Systems for Visual Tracking

Author : Becker, Stefan
Publisher : KIT Scientific Publishing
ISBN 13 : 3731510383
Total Pages : 228 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Dynamic Switching State Systems for Visual Tracking by : Becker, Stefan

Download or read book Dynamic Switching State Systems for Visual Tracking written by Becker, Stefan and published by KIT Scientific Publishing. This book was released on 2020-12-02 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.

Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion

Author : Bullinger, Sebastian
Publisher : KIT Scientific Publishing
ISBN 13 : 373151012X
Total Pages : 194 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion by : Bullinger, Sebastian

Download or read book Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion written by Bullinger, Sebastian and published by KIT Scientific Publishing. This book was released on 2020-08-26 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation and multiple view geometry methods. The MSfM pipeline tracks two-dimensional object shapes on pixel level to determine object specific feature correspondences, in order to reconstruct 3D object shapes as well as 3D object motion trajectories" -- Publicaciones de Arquitectura y Arte.

Predictive energy-efficient motion trajectory optimization of electric vehicles

Author : Guan, Tianyi
Publisher : KIT Scientific Publishing
ISBN 13 : 3731509784
Total Pages : 320 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Predictive energy-efficient motion trajectory optimization of electric vehicles by : Guan, Tianyi

Download or read book Predictive energy-efficient motion trajectory optimization of electric vehicles written by Guan, Tianyi and published by KIT Scientific Publishing. This book was released on 2020-01-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:

World Modeling for Intelligent Autonomous Systems

Author : Belkin, Andrey
Publisher : KIT Scientific Publishing
ISBN 13 : 3731506416
Total Pages : 222 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis World Modeling for Intelligent Autonomous Systems by : Belkin, Andrey

Download or read book World Modeling for Intelligent Autonomous Systems written by Belkin, Andrey and published by KIT Scientific Publishing. This book was released on 2017-10-19 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The functioning of intelligent autonomous systems requires constant situation awareness and cognition analysis. Thus, it needs a memory structure that contains a description of the surrounding environment (world model) and serves as a central information hub. This book presents a row of theoretical and experimental results in the field of world modeling. This includes areas of dynamic and prior knowledge modeling, information fusion, management and qualitative/quantitative information analysis.

Distributed Planning for Self-Organizing Production Systems

Author : Pfrommer, Julius
Publisher : KIT Scientific Publishing
ISBN 13 : 373151253X
Total Pages : 210 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Distributed Planning for Self-Organizing Production Systems by : Pfrommer, Julius

Download or read book Distributed Planning for Self-Organizing Production Systems written by Pfrommer, Julius and published by KIT Scientific Publishing. This book was released on 2024-06-04 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: In dieser Arbeit wird ein Ansatz entwickelt, um eine automatische Anpassung des Verhaltens von Produktionsanlagen an wechselnde Aufträge und Rahmenbedingungen zu erreichen. Dabei kommt das Prinzip der Selbstorganisation durch verteilte Planung zum Einsatz. - Most production processes are rigid not only by way of the physical layout of machines and their integration, but also by the custom programming of the control logic for the integration of components to a production systems. Changes are time- and resource-expensive. This makes the production of small lot sizes of customized products economically challenging. This work develops solutions for the automated adaptation of production systems based on self-organisation and distributed planning.

Self-learning Anomaly Detection in Industrial Production

Author : Meshram, Ankush
Publisher : KIT Scientific Publishing
ISBN 13 : 3731512572
Total Pages : 224 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Self-learning Anomaly Detection in Industrial Production by : Meshram, Ankush

Download or read book Self-learning Anomaly Detection in Industrial Production written by Meshram, Ankush and published by KIT Scientific Publishing. This book was released on 2023-06-19 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an industrial system in the absence of information on networking infrastructure and programmed deterministic industrial process is challenging. Within the research work, different self-learning frameworks to analyze passively captured network traces from PROFINET-based industrial system for protocol-based and process behavior-based anomaly detection are developed, and evaluated on a real-world industrial system.

Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos

Download Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos PDF Online Free

Author : Janya-anurak, Chettapong
Publisher : KIT Scientific Publishing
ISBN 13 : 3731506424
Total Pages : 248 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos by : Janya-anurak, Chettapong

Download or read book Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos written by Janya-anurak, Chettapong and published by KIT Scientific Publishing. This book was released on 2017-04-04 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The framework using gPC based on Bayesian UQ proposed in this work is capable of analyzing the system systematically and reducing the disagreement between the model predictions and the measurements of the real processes to fulfill user defined performance criteria.

Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments

Author : Petereit, Janko
Publisher : KIT Scientific Publishing
ISBN 13 : 3731505800
Total Pages : 282 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments by : Petereit, Janko

Download or read book Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments written by Petereit, Janko and published by KIT Scientific Publishing. This book was released on 2017-01-20 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state.