Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking

Author: Grinberg, Michael

Publisher: KIT Scientific Publishing

Published: 2018-08-10

Total Pages: 296

ISBN-13: 3731507811

DOWNLOAD EBOOK

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.

Video-to-Video Face Recognition for Low-Quality Surveillance Data
Video-to-Video Face Recognition for Low-Quality Surveillance Data

Author: Herrmann, Christian

Publisher: KIT Scientific Publishing

Published: 2018-08-03

Total Pages: 180

ISBN-13: 3731507994

DOWNLOAD EBOOK

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.

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

Author: Bullinger, Sebastian

Publisher: KIT Scientific Publishing

Published: 2020-08-26

Total Pages: 194

ISBN-13: 373151012X

DOWNLOAD EBOOK

"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.

Deep Learning based Vehicle Detection in Aerial Imagery
Deep Learning based Vehicle Detection in Aerial Imagery

Author: Sommer, Lars Wilko

Publisher: KIT Scientific Publishing

Published: 2022-02-09

Total Pages: 276

ISBN-13: 3731511134

DOWNLOAD EBOOK

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.

Dynamic Switching State Systems for Visual Tracking
Dynamic Switching State Systems for Visual Tracking

Author: Becker, Stefan

Publisher: KIT Scientific Publishing

Published: 2020-12-02

Total Pages: 228

ISBN-13: 3731510383

DOWNLOAD EBOOK

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.

Self-learning Anomaly Detection in Industrial Production
Self-learning Anomaly Detection in Industrial Production

Author: Meshram, Ankush

Publisher: KIT Scientific Publishing

Published: 2023-06-19

Total Pages: 224

ISBN-13: 3731512572

DOWNLOAD EBOOK

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.

Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Author: Beyerer, Jürgen

Publisher: KIT Scientific Publishing

Published: 2020-10-23

Total Pages: 170

ISBN-13: 3731510286

DOWNLOAD EBOOK

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.

Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Author: Beyerer, Jürgen

Publisher: KIT Scientific Publishing

Published: 2021-06-22

Total Pages: 192

ISBN-13: 373151091X

DOWNLOAD EBOOK

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.