Moving Object Detection And Segmentation For Remote Aerial Video Surveillance
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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
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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.
Dynamic Switching State Systems For Visual Tracking
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Author : Becker, Stefan
language : en
Publisher: KIT Scientific Publishing
Release Date : 2020-12-02
Dynamic Switching State Systems For Visual Tracking written by Becker, Stefan 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 2020-12-02 with Computers categories.
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.
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.
Image Based 3d Reconstruction Of Dynamic Objects Using Instance Aware Multibody Structure From Motion
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Author : Bullinger, Sebastian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2020-08-26
Image Based 3d Reconstruction Of Dynamic Objects Using Instance Aware Multibody Structure From Motion written by Bullinger, Sebastian 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 2020-08-26 with Computers categories.
"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
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Author : Guan, Tianyi
language : en
Publisher: KIT Scientific Publishing
Release Date : 2020-01-02
Predictive Energy Efficient Motion Trajectory Optimization Of Electric Vehicles written by Guan, Tianyi 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 2020-01-02 with Computers categories.
World Modeling For Intelligent Autonomous Systems
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Author : Belkin, Andrey
language : en
Publisher: KIT Scientific Publishing
Release Date : 2017-10-19
World Modeling For Intelligent Autonomous Systems written by Belkin, Andrey 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 2017-10-19 with Electronic computers. Computer science categories.
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
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Author : Pfrommer, Julius
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-06-04
Distributed Planning For Self Organizing Production Systems written by Pfrommer, Julius 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 2024-06-04 with categories.
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
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Author : Meshram, Ankush
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-06-19
Self Learning Anomaly Detection In Industrial Production written by Meshram, Ankush 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 2023-06-19 with categories.
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.
Principles Of Catastrophic Forgetting For Continual Semantic Segmentation In Automated Driving
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Author : Kalb, Tobias Michael
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-10-21
Principles Of Catastrophic Forgetting For Continual Semantic Segmentation In Automated Driving written by Kalb, Tobias 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 2024-10-21 with categories.
Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-incremental learning affect neural networks for automated driving, identifying semantic shifts and feature changes as key factors. Tools for quantitatively measuring forgetting are selected and used to show how strategies like image augmentation, pretraining, and architectural adaptations mitigate catastrophic forgetting.