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Author : Grinberg, Michael
Publisher : KIT Scientific Publishing
Page : 296 pages
File Size : 43,9 Mb
Release : 2018-08-10
Category : Electronic
ISBN : 9783731507819
Author : Michael Grinberg
Publisher : Unknown
Page : 286 pages
File Size : 49,8 Mb
Release : 2020-10-09
Category : Computers
ISBN : 1013279255
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. 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.
Author : Margrit Betke,Zheng Wu
Publisher : Springer Nature
Page : 110 pages
File Size : 46,7 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031018169
In the human quest for scientific knowledge, empirical evidence is collected by visual perception. Tracking with computer vision takes on the important role to reveal complex patterns of motion that exist in the world we live in. Multi-object tracking algorithms provide new information on how groups and individual group members move through three-dimensional space. They enable us to study in depth the relationships between individuals in moving groups. These may be interactions of pedestrians on a crowded sidewalk, living cells under a microscope, or bats emerging in large numbers from a cave. Being able to track pedestrians is important for urban planning; analysis of cell interactions supports research on biomaterial design; and the study of bat and bird flight can guide the engineering of aircraft. We were inspired by this multitude of applications to consider the crucial component needed to advance a single-object tracking system to a multi-object tracking system—data association. Data association in the most general sense is the process of matching information about newly observed objects with information that was previously observed about them. This information may be about their identities, positions, or trajectories. Algorithms for data association search for matches that optimize certain match criteria and are subject to physical conditions. They can therefore be formulated as solving a "constrained optimization problem"—the problem of optimizing an objective function of some variables in the presence of constraints on these variables. As such, data association methods have a strong mathematical grounding and are valuable general tools for computer vision researchers. This book serves as a tutorial on data association methods, intended for both students and experts in computer vision. We describe the basic research problems, review the current state of the art, and present some recently developed approaches. The book covers multi-object tracking in two and three dimensions. We consider two imaging scenarios involving either single cameras or multiple cameras with overlapping fields of view, and requiring across-time and across-view data association methods. In addition to methods that match new measurements to already established tracks, we describe methods that match trajectory segments, also called tracklets. The book presents a principled application of data association to solve two interesting tasks: first, analyzing the movements of groups of free-flying animals and second, reconstructing the movements of groups of pedestrians. We conclude by discussing exciting directions for future research.
Author : Herrmann, Christian
Publisher : KIT Scientific Publishing
Page : 180 pages
File Size : 46,6 Mb
Release : 2018-08-03
Category : Electronic computers. Computer science
ISBN : 9783731507994
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 : Bullinger, Sebastian
Publisher : KIT Scientific Publishing
Page : 194 pages
File Size : 51,8 Mb
Release : 2020-08-26
Category : Computers
ISBN : 9783731510123
"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 : Sommer, Lars Wilko
Publisher : KIT Scientific Publishing
Page : 276 pages
File Size : 41,6 Mb
Release : 2022-02-09
Category : Computers
ISBN : 9783731511137
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 : Becker, Stefan
Publisher : KIT Scientific Publishing
Page : 228 pages
File Size : 40,5 Mb
Release : 2020-12-02
Category : Computers
ISBN : 9783731510383
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.
Author : Meshram, Ankush
Publisher : KIT Scientific Publishing
Page : 224 pages
File Size : 41,6 Mb
Release : 2023-06-19
Category : Electronic
ISBN : 9783731512578
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.
Author : Beyerer, Jürgen,Taphanel, Miro
Publisher : KIT Scientific Publishing
Page : 136 pages
File Size : 45,7 Mb
Release : 2019-07-12
Category : Computers
ISBN : 9783731509363
Author : Beyerer, Jürgen,Zander, Tim
Publisher : KIT Scientific Publishing
Page : 170 pages
File Size : 42,7 Mb
Release : 2020-10-23
Category : Computers
ISBN : 9783731510284
In 2019 fand wieder der jährliche Workshop des Fraunhofer IOSB und des Lehrstuhls für Interaktive Echtzeitsysteme des Karlsruher Insitut für Technologie statt. Die Doktoranden beider Institutionen präsentierten den Fortschritt ihrer Forschung in den Themen Maschinelles Lernen, Machine Vision, Messtechnik, Netzwerksicherheit und Usage Control. Die Ideen dieses Workshops sind in diesem Buch gesammelt in der Form technischer Berichte. - In 2019 again, the annual joint workshop of the Fraunhofer IOSB and the Vision and Fusion Laboratory of the Karlsruhe Institute of Technology took place. The doctoral students of both institutions presented extensive reports on the status of their research and discussed topics ranging from computer vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book in the form of technical reports.
Author : Beyerer, Jürgen,Zander, Tim
Publisher : KIT Scientific Publishing
Page : 192 pages
File Size : 55,9 Mb
Release : 2021-06-22
Category : Computers
ISBN : 9783731510918
In 2020 fand der jährliche Workshop des Faunhofer IOSB und the Lehrstuhls für interaktive Echtzeitsysteme statt. Vom 27. bis zum 31. Juli trugen die Doktorranden der beiden Institute über den Stand ihrer Forschung vor in Themen wie KI, maschinellen Lernen, computer vision, usage control, Metrologie vor. Die Ergebnisse dieser Vorträge sind in diesem Band als technische Berichte gesammelt. - In 2020, the annual joint workshop of the Fraunhofer IOSB and the Vision and Fusion Laboratory of the KIT was hosted at the IOSB in Karlsruhe. For a week from the 27th to the 31st July the doctoral students of both institutions presented extensive reports on the status of their research and discussed topics ranging from computer vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book.
Author : Beyerer, Jürgen,Zander, Tim
Publisher : KIT Scientific Publishing
Page : 140 pages
File Size : 41,9 Mb
Release : 2023-07-05
Category : Electronic
ISBN : 9783731513049
In August 2022, Fraunhofer IOSB and IES of KIT held a joint workshop in a Schwarzwaldhaus near Triberg. Doctoral students presented research reports and discussed various topics like computer vision, optical metrology, network security, usage control, and machine learning. This book compiles the workshop's results and ideas, offering a comprehensive overview of the research program of IES and Fraunhofer IOSB.
Author : Pfrommer, Julius
Publisher : KIT Scientific Publishing
Page : 210 pages
File Size : 49,5 Mb
Release : 2024-06-04
Category : Electronic
ISBN : 9783731512530
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.
Author : Dürr, Fabian
Publisher : KIT Scientific Publishing
Page : 248 pages
File Size : 52,6 Mb
Release : 2023-10-09
Category : Electronic
ISBN : 9783731513148
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 : Qu, Chengchao
Publisher : KIT Scientific Publishing
Page : 234 pages
File Size : 48,5 Mb
Release : 2018-10-02
Category : Electronic
ISBN : 9783731508281