Moving Object Detection and Segmentation for Remote Aerial Video Surveillance PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Moving Object Detection and Segmentation for Remote Aerial Video Surveillance PDF full book. Access full book title Moving Object Detection and Segmentation for Remote Aerial Video Surveillance by Teutsch, Michael. Download full books in PDF and EPUB format.
Author: Teutsch, Michael
Publisher: KIT Scientific Publishing
ISBN: 3731503204
Category : Electronic computers. Computer science
Languages : en
Pages : 242
Get Book Here
Book Description
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.
Author: Teutsch, Michael
Publisher: KIT Scientific Publishing
ISBN: 3731503204
Category : Electronic computers. Computer science
Languages : en
Pages : 242
Get Book Here
Book Description
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.
Author: Bilan, Stepan Mykolayovych
Publisher: IGI Global
ISBN: 1799812928
Category : Computers
Languages : en
Pages : 434
Get Book Here
Book Description
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.
Author: Herrmann, Christian
Publisher: KIT Scientific Publishing
ISBN: 3731507994
Category : Electronic computers. Computer science
Languages : en
Pages : 180
Get Book Here
Book Description
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.
Author: Birnstill, Pascal
Publisher: KIT Scientific Publishing
ISBN: 373150538X
Category : Electronic computers. Computer science
Languages : en
Pages : 268
Get Book Here
Book Description
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.
Author: Grinberg, Michael
Publisher: KIT Scientific Publishing
ISBN: 3731507811
Category : Electronic computers. Computer science
Languages : en
Pages : 296
Get Book Here
Book Description
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.
Author: Sommer, Lars Wilko
Publisher: KIT Scientific Publishing
ISBN: 3731511134
Category : Computers
Languages : en
Pages : 276
Get Book Here
Book Description
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.
Author: Dürr, Fabian
Publisher: KIT Scientific Publishing
ISBN: 3731513145
Category :
Languages : en
Pages : 248
Get Book Here
Book Description
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.
Author: Kalb, Tobias Michael
Publisher: KIT Scientific Publishing
ISBN: 3731513730
Category :
Languages : en
Pages : 236
Get Book Here
Book Description
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.
Author: Bullinger, Sebastian
Publisher: KIT Scientific Publishing
ISBN: 373151012X
Category : Computers
Languages : en
Pages : 194
Get Book Here
Book Description
"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.
Author: Guan, Tianyi
Publisher: KIT Scientific Publishing
ISBN: 3731509784
Category : Computers
Languages : en
Pages : 320
Get Book Here
Book Description
