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University of Rostock, Germany

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29 Papers

Occlusion Detection for Face Image Quality Assessment

Topics: Biometrics; Image and Video Analysis and Understanding

Authors: Jacob Carnap ¹ , Alexander Kurz ² , Olaf Henniger ² and Arjan Kuijper ^{2

;

1}

Affiliations: ¹ Technical University of Darmstadt, Department of Computer Science, Darmstadt, Germany , ² Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany

Digital Object Identifier: 10.5220/0013168500003905

Proceedings of ICPRAM 2025, ISBN: 978-989-758-730-6

Quick Abstract

The accuracy of 2D-image-based face recognition systems depends on the quality of the compared face images. One factor that affects the recognition accuracy is the occlusion of face regions, e.g., by opaque sunglasses or medical face masks. Being able to assess the quality of captured face images can be useful in various scenarios, e.g., in a border entry/exit system. This paper discusses a method for detecting face occlusions and for measuring the percentage of occlusion of a face using face segmentation and face landmark estimation techniques. The method is applicable to arbitrary face images, not only to frontal or nearly frontal face images. The method was evaluated by applying it to publicly available face image data sets and analyzing the results obtained. The evaluation shows that the proposed method enables the effective detection of face occlusions.

NetVisGame: Mobile Gamified Information Visualization of Home Network Traffic Data

Topics: Interactive Visual Interfaces for Visualization; Interface and Interaction Techniques for Visualization; Internet, Web and Security Visualization; Visualization Applications; Information and Scientific Visualization; Human-Centered Aspects of Visualization

Authors: Marija Schufrin ¹ , Katharina Kuban ² , Arjan Kuijper ^{1

;

2} and Jörn Kohlhammer ^{1

;

2}

Affiliations: ¹ Fraunhofer IGD, Germany , ² TU Darmstadt, Germany

Digital Object Identifier: 10.5220/0010778800003124

Proceedings of IVAPP 2022/VISIGRAPP, ISBN: 978-989-758-555-5

Quick Abstract

The awareness of everyday internet users for cyber security becomes ever more important considering the ubiquity of the Internet in everyday life. However, people usually lack the necessary understanding of this topic or the motivation to pay attention to the problem and its possible consequences. In this paper, we present the novel idea of combining visualization of one’s own personal data related to cyber-security literacy with a casual gaming approach. We therefore introduce our prototype, NetVisGame, in which we have implemented the idea for personal network traffic data based on a preliminary user study. The evaluation results of the first iteration of the user-centered design process supports the assumption that this approach is feasible to raise interest for and foster understanding of network traffic data and therefore could be a promising approach for data and technologies related to cyber-security literacy.

Neural Networks for Indoor Localization based on Electric Field Sensing

Topics: Recurrent Neural Network (RNN); Convolutional Neural Networks (CNN); Clustering, Classification and Regression

Authors: Florian Kirchbuchner ¹ , Moritz Andres ² , Julian von Wilmsdorff ¹ and Arjan Kuijper ¹

Affiliations: ¹ Fraunhofer IGD Darmstadt, Fraunhoferstrasse 5, Darmstadt, Germany , ² Technische Universität Darmstadt, Germany

Digital Object Identifier: 10.5220/0011266300003277

Proceedings of DeLTA 2022, ISBN: 978-989-758-584-5

Quick Abstract

In this paper, we will demonstrate a novel approach using artificial neural networks to enhance signal processing for indoor localization based on electric field measurement systems Up to this point, there exist a variety of approaches to localize persons by using wearables, optical sensors, acoustic methods and by using Smart Floors. All capacitive approaches use, to the best of our knowledge, analytic signal processing techniques to calculate the position of a user. While analytic methods can be more transparent in their functionality, they often come with a variety of drawbacks such as delay times, the inability to compensate defect sensor inputs or missing accuracy. We will demonstrate machine learning approaches especially made for capacitive systems resolving these challenges. To train these models, we propose a data labeling system for person localization and the resulting dataset for the supervised machine learning approaches. Our findings show that the novel approach based on artificial neural networks with a time convolutional neural network (TCNN) architecture reduces the Euclidean error by 40% (34.8cm Euclidean error) in respect to the presented analytical approach (57.3cm Euclidean error). This means a more precise determination of the user position of 22.5cm centimeter on average.

AI-assisted Automated Pipeline for Length Estimation, Visual Assessment of the Digestive Tract and Counting of Shrimp in Aquaculture Production

Topics: Segmentation and Grouping; Features Extraction; Object Detection and Localization; Deep Learning for Visual Understanding ; Assistive Computer Vision

Authors: Yousif Hashisho ¹ , Tim Dolereit ¹ , Alexandra Segelken-Voigt ² , Ralf Bochert ² and Matthias Vahl ¹

Affiliations: ¹ Fraunhofer Institute for Computer Graphics Research IGD, Joachim-Jungius-Str. 11, 18059 Rostock, Germany , ² Institute of Fisheries, State Research Centre of Agriculture and Fisheries Mecklenburg-Vorpommern, Südstraße 8, 18375 Born, Germany

Digital Object Identifier: 10.5220/0010342007100716

Proceedings of VISAPP 2021/VISIGRAPP, ISBN: 978-989-758-488-6

Quick Abstract

Shrimp farming is a century-old practice in aquaculture production. In the past years, some improvements of the traditional farming methods have been made, however, it still involves mostly intensive manual work, which makes traditional farming a neither time nor cost efficient production process. Therefore, a continuous monitoring approach is required for increasing the efficiency of shrimp farming. This paper proposes a pipeline for automated shrimp monitoring using deep learning and image processing methods. The automated monitoring includes length estimation, assessment of the shrimp’s digestive tract and counting. Furthermore, a mobile system is designed for monitoring shrimp in various breeding tanks. This study shows promising results and unfolds the potential of artificial intelligence in automating shrimp monitoring.

Linoc: A Prototyping Platform for Capacitive and Passive Electrical Field Sensing

Topics: Internet of Things; Human-Computer Interfaces; Embedded Systems; Smart Objects

Authors: Julian Von Wilmsdorff ¹ , Malte Lenhart ² , Florian Kirchbuchner ¹ and Arjan Kuijper ¹

Affiliations: ¹ Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany , ² Technische Universität Darmstadt, Darmstadt, Germany

Digital Object Identifier: 10.5220/0010336400490058

Proceedings of SENSORNETS 2021, ISBN: 978-989-758-489-3

Quick Abstract

In this paper the Linoc prototyping toolkit is presented. It is a sensor toolkit that focuses on fast prototyping of sensor systems, especially on capacitive ones. The toolkit is built around two capacitive and two Electric Potential Sensing (EPS) groups providing unobtrusive proximity detection in the field of Human Computer Interface (HCI). The toolkits focus lies on its usability and connectivity in order to be adapted in future research and novel use cases. A common obstacle in the beginning of a project is the time required to familiarize with present tools and systems, before the actual project can be attended to. Another obstacle while tackling new tasks is the actual physical connection of sensors to the processing unit. This situation can be even worse due to dependencies on previous work, most of the times not fully documented and missing knowledge even if the the original designer is involved. Good toolkits can help to overcome this problem by providing a layer of abstraction and allowing to work on a higher level. If the toolkit however requires too much time to familiarize or behaves too restrictive, its goal has been missed and no benefits are generated. To assess the quality of the Linoc prototyping toolkit, it was evaluated in terms of three different aspects: demonstration, usage and technical performance. The usage study found good reception, a fast learning curve and an interest to use the toolkit in the future. Technical benchmarks for the capacitive sensors show a detectable range equal to its predecessors and several operational prototypes prove that the toolkit can actually be used in projects.

Lightweight Coordination of Multiple Independent Visual Analytics Tools

Topics: Visual Data Analysis and Knowledge Discovery; Visualization Taxonomies and Models

Authors: Hans-Jörg Schulz ¹ , Martin Röhlig ² , Lars Nonnemann ³ , Mario Aehnelt ³ , Holger Diener ³ , Bodo Urban ³ and Heidrun Schumann ²

Affiliations: ¹ Department of Computer Science, Aarhus University, Åbogade 34, 8200 Aarhus N and Denmark , ² Institute of Computer Science, University of Rostock, Albert-Einstein-Straße 22, 18059 Rostock and Germany , ³ Fraunhofer Institute of Computer Graphics Research, Joachim-Jungius-Straße 11, 18059 Rostock and Germany

Digital Object Identifier: 10.5220/0007571101060117

Proceedings of IVAPP 2019/VISIGRAPP, ISBN: 978-989-758-354-4

Quick Abstract

With the advancement of Visual Analytics (VA) and its spread into various application fields comes along a specialization of methods and tools. This adds complexity and requires extra effort when devising domain-dependent VA solutions, as for every new domain question a new specialized tool or framework must be developed. In this paper, we investigate the possibility of using and re-using existing tools – domain-dependent and general-purpose – by loosely coupling them into specialized VA tool ensembles as needed. We call such coupling among independent tools lightweight coordination, as it is minimally-invasive, pair-wise, and opportunistic in utilizing whichever interface a VA tool offers. We propose the use of lightweight coordination for managing the workflow, the data flow, and the control flow among VA tools, and we show how it can be supported with suitable setups of the multiple tool UIs involved. This concept of lightweight coordination is exemplified with a health care scenario, where an ensemble of independent VA tools is used in a concerted way to pursue the visual analysis of a patient’s troublesome vital data.

Related Ontology Subjects/Areas/Topics (5)

Abstract Data Visualization		General Data Visualization		Visualization Taxonomies and Models
Computer Vision, Visualization and Computer Graphics		Visual Data Analysis and Knowledge Discovery

Applying the PROSA Reference Architecture to Enable the Interaction between the Worker and the Industrial Robot - Case Study: One Worker Interaction with a Dual-Arm Industrial Robot

Topics: Multi-Agent Systems; Distributed Problem Solving; Agent Models and Architectures; Task Planning and Execution; Agent Platforms and Interoperability

Authors: Ahmed R. Sadik and Bodo Urban

Affiliation: University of Rostock and Fraunhofer Institute for Computer Graphic Research IGD, Germany

Digital Object Identifier: 10.5220/0006191801900199

Proceedings of ICAART 2017, ISBN: 978-989-758-219-6

Quick Abstract

Involving an industrial robot in a close physical interaction with the worker became quite possible, as a result of the availability of different collaborative industrial robots in the market. The physical cooperation between the industrial robot and the worker usually done under the umbrella of the flexible manufacturing paradigm, where both the industrial robot and the worker need to change their tasks fast and efficiently, to cope with the changes in the manufacturing process. This means that a reliable manufacturing control system must stand behind this physical interaction to achieve the proper communication interaction. A holonic control architecture is an ideal solution for this problem. Therefore, during this research we study the most commonly applied model of the holonic control architecture, then we apply this architecture on our case study, where one worker cooperates with a dual-arm industrial robot to build and produce any new product. Also the research uses the worker’s hand gesture recognition as a method to interact with the industrial robot during the execution of a cooperative production scenario.

Related Ontology Subjects/Areas/Topics (14)

Agent Models and Architectures	Distributed and Mobile Software Systems	Multi-Agent Systems
Agent Platforms and Interoperability	Distributed Problem Solving	Software Engineering
Agents	Enterprise Information Systems	Symbolic Systems
Artificial Intelligence	Knowledge Engineering and Ontology Development	Task Planning and Execution
Artificial Intelligence and Decision Support Systems	Knowledge-Based Systems

Towards a Complex Interaction Scenario in Worker-cobot Reconfigurable Collaborative Manufacturing via Reactive Agent Ontology - Case-study: Two Workers in Cooperation with One Cobot

Topics: Decision Support Systems; Knowledge Representation; Human-Machine Cooperation; Applications and Case-Studies; Enterprise Engineering

Authors: Ahmed R. Sadik and Bodo Urban

Affiliation: University of Rostock and Fraunhofer Institute for Computer Graphic Research IGD, Germany

Digital Object Identifier: 10.5220/0006487200270038

Proceedings of KEOD 2017/IC3K, ISBN: 978-989-758-272-1

Quick Abstract

Close Human-Robot Interaction (HRI) has been a great focus of research for the last decades. The outcomes of this focus is a new field in industrial robotics called collaborative robotics. A collaborative robot (cobot) is usually an industrial robot designed to operate safely in a shared work environment with the human worker. This in contrast to conventional Industrial Robots (IRs) which are operating in isolation from the worker workspace, the cobot is changing the concept of automation from fully automated operations to semi-autonomous operations, where the decisions of the worker will influence the actions of the cobot and vice-versa. Therefore, a communication and information control framework must exist to connect the worker and the cobot together to fulfil this semi-autonomous paradigm. This framework should be able to provide a method to represent the common knowledge which can support the collaborative manufacturing between the worker and the cobot. During this research we are proposing an ontology-based Holonic Control Architecture (HCA) as a proper solution to share and communicate the knowledge needed to achieve complex interaction scenarios between the worker and the cobot.

Related Ontology Subjects/Areas/Topics (17)

Applications and Case-studies	Decision Support Systems	Human-Machine Cooperation
Artificial Intelligence	Decision Support Systems, Remote Data Analysis	Knowledge Engineering and Ontology Development
Business Analytics	e-Business	Knowledge Representation
Cardiovascular Technologies	Enterprise Engineering	Knowledge-Based Systems
Computing and Telecommunications in Cardiology	Enterprise Information Systems	Symbolic Systems
Data Engineering	Health Engineering and Technology Applications

Visual Interactive Creation of Geo-located Networks

Topics: Graph Visualization; Uncertainty Visualization

Authors: Felix Brodkorb ¹ , Manuel Kopp ¹ , Arjan Kuijper ² and Tatiana von Landesberger ¹

Affiliations: ¹ TU Darmstadt, Germany , ² Fraunhofer IGD, Germany

Digital Object Identifier: 10.5220/0006176302830293

Proceedings of IVAPP 2017/VISIGRAPP, ISBN: 978-989-758-228-8

Quick Abstract

Nodes in real world networks often have a geographic position. In many cases such as for simulation or optimization, there is a need for non-trivial synthetic geo-located networks. As synthetic datasets are required to have specific properties such as connectivity and geographic distribution, often networks need to be generated. However, their creation is cumbersome if done purely by hand, and inflexible if done fully automated. Here, we present a framework for creating artificial geographic located networks in a visually interactive way. We designed our framework with the what-you-see-is-what-you-get principle in mind, i.e. showing the (intermediate) results of the interactive creation process at any time and allowing the user to adjust the network iteratively. This design allows our system to be also used as a simple viewer for networks that have incomplete location information. Our approach consists of two steps: (1) Creating the network topology and (2) assigning locations to its nodes. Our half automatic system enables the user to easily set the location of the nodes to predefined areas like countries, states, and urban regions, while still being able to flexibly and interactively control the creation process. We show the utility of our system by creating a real-world-like geo-located network.

Related Ontology Subjects/Areas/Topics (5)

Abstract Data Visualization		Graph Visualization		Uncertainty Visualization
Computer Vision, Visualization and Computer Graphics		Spatial Data Visualization

A Novel Implementation Approach for Resource Holons in Reconfigurable Product Manufacturing Cell

Topics: Distributed Control Systems; Autonomous Agents; Industrial Automation and Robotics; Intelligent Design and Manufacturing; Manufacturing Systems Engineering

Authors: Ahmed R. Sadik and Bodo Urban

Affiliation: University of Rostock and Fraunhofer Institute for Computer Graphic Research IGD, Germany

Digital Object Identifier: 10.5220/0005956801300139

Proceedings of ICINCO 2016, ISBN: 978-989-758-198-4

Quick Abstract

Holonic Control Architecture is a successful solution model for reconfigurable manufacturing problems. Two well-known different technologies have been used separately to implement the holonic control model. The first technology is IEC 61499 standard, and the second is autonomous reactive agent. Both of the previous mentioned technologies have its own pros and cons. Therefore this research is merging the two technologies together in one solution body, to magnifying their pros and reduce their cons. Ultimately; it provides a novel implementation model for the manufacturing holons, to be followed in similar reconfigurable manufacturing problems. A human worker in cooperation with a safe industrial robot, has been selected as a case study of a reconfigurable manufacturing problem. The proposed holonic control solution has been applied to the case study, to evaluate the ability of the solution to satisfy the requirements of the case study. The results show the ability of the proposed control solution to provide a flexible physical and logical interaction framework, which can be scaled over more workers in cooperation with more industrial robots.

Related Ontology Subjects/Areas/Topics (9)

Autonomous Agents	Industrial Engineering	Intelligent Design and Manufacturing
Distributed Control Systems	Informatics in Control, Automation and Robotics	Manufacturing Systems Engineering
Industrial Automation and Robotics	Intelligent Control Systems and Optimization	Robotics and Automation

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