Dr. Elisabeth Peinsipp-Byma Profile

Dr. Elisabeth Peinsipp-Byma

at Fraunhofer-IOSB

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Publications (20)

Proceedings Article | 23 April 2020 Presentation + Paper

Cooperative and location-independent terrain assessment for deployment planning using a 3D mixed reality environment

Florian van de Camp, Adrian Hoppe, Gabriel Unmüßig, Elisabeth Peinsipp-Byma

Proceedings Volume 11426, 1142604 (2020) https://doi.org/10.1117/12.2558593

KEYWORDS: Virtual reality, 3D displays, Visualization, Mixed reality, Geographic information systems, 3D modeling, Human-machine interfaces

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Proceedings Article | 4 May 2017 Presentation + Paper

The image-interpretation-workstation of the future: lessons learned

S. Maier, F. van de Camp, J. Hafermann, B. Wagner, E. Peinsipp-Byma, J. Beyerer

Proceedings Volume 10190, 101901D (2017) https://doi.org/10.1117/12.2262490

KEYWORDS: Image processing, Facial recognition systems, Complex systems, Gesture recognition, Human-machine interfaces, Speech recognition, Head, Tactical intelligence, Strategic intelligence, Surveillance, Switches, Computer security, Sensors, 3D modeling, Image analysis, Image sensors, Visualization

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Proceedings Article | 1 May 2017 Paper

Pilot study on real-time motion detection in UAS video data by human observer and image exploitation algorithm

Jutta Hild, Wolfgang Krüger, Stefan Brüstle, Patrick Trantelle, Gabriel Unmüßig, Michael Voit, Norbert Heinze, Elisabeth Peinsipp-Byma, Jürgen Beyerer

Proceedings Volume 10199, 1019903 (2017) https://doi.org/10.1117/12.2262477

KEYWORDS: Visualization, Target detection, Calibration, Eye, Video, Motion detection, Detection and tracking algorithms, Video surveillance, Motion analysis, Computing systems, Human-machine interfaces, Defense and security, Safety

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Proceedings Article | 1 May 2017 Presentation + Paper

Standardized acquisition, storing and provision of 3D enabled spatial data

B. Wagner, S. Maier, E. Peinsipp-Byma

Proceedings Volume 10199, 101990H (2017) https://doi.org/10.1117/12.2262492

KEYWORDS: 3D imaging standards, Data modeling, Geographic information systems, 3D acquisition, 3D modeling, Data acquisition, Systems modeling, Standards development, Analytical research, 3D image processing, Visualization

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Proceedings Article | 13 May 2016 Paper

Interacting with target tracking algorithms in a gaze-enhanced motion video analysis system

Jutta Hild, Wolfgang Krüger, Norbert Heinze, Elisabeth Peinsipp-Byma, Jürgen Beyerer

Proceedings Volume 9841, 98410K (2016) https://doi.org/10.1117/12.2223726

KEYWORDS: Video, Detection and tracking algorithms, Motion analysis, Human-machine interfaces, Image processing algorithms and systems, Image segmentation, Visualization, Optical tracking, Motion detection, Switches

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Proceedings Article | 12 May 2016 Paper

Advanced human machine interaction for an image interpretation workstation

S. Maier, M. Martin, F. van de Camp, E. Peinsipp-Byma, J. Beyerer

Proceedings Volume 9851, 985105 (2016) https://doi.org/10.1117/12.2223565

KEYWORDS: Head, Facial recognition systems, Speech recognition, Computing systems, 3D displays, Sensors, Image processing, Buildings, Visualization, 3D modeling

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Proceedings Article | 12 May 2016 Paper

Interactive analysis of geodata based intelligence

Boris Wagner, Ralf Eck, Gabriel Unmüessig, Elisabeth Peinsipp-Byma

Proceedings Volume 9825, 98250N (2016) https://doi.org/10.1117/12.2222534

KEYWORDS: Software development, Bridges, Strategic intelligence, Intelligent sensors, Sensors, Visualization, Video, Databases, Raster graphics, Data modeling

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Proceedings Article | 21 October 2015 Paper

RecceMan: an interactive recognition assistance for image-based reconnaissance: synergistic effects of human perception and computational methods for object recognition, identification, and infrastructure analysis

Nadia El Bekri, Susanne Angele, Martin Ruckhäberle, Elisabeth Peinsipp-Byma, Bruno Haelke

Proceedings Volume 9653, 96530O (2015) https://doi.org/10.1117/12.2196300

KEYWORDS: Image analysis, Image processing, Object recognition, Automatic target recognition, Reconnaissance, Databases, Feature extraction, Visualization, Analytical research, Sensors

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This paper introduces an interactive recognition assistance system for imaging reconnaissance. This system supports aerial image analysts on missions during two main tasks: Object recognition and infrastructure analysis. Object recognition concentrates on the classification of one single object. Infrastructure analysis deals with the description of the components of an infrastructure and the recognition of the infrastructure type (e.g. military airfield). Based on satellite or aerial images, aerial image analysts are able to extract single object features and thereby recognize different object types. It is one of the most challenging tasks in the imaging reconnaissance. Currently, there are no high potential ATR (automatic target recognition) applications available, as consequence the human observer cannot be replaced entirely. State-of-the-art ATR applications cannot assume in equal measure human perception and interpretation. Why is this still such a critical issue? First, cluttered and noisy images make it difficult to automatically extract, classify and identify object types. Second, due to the changed warfare and the rise of asymmetric threats it is nearly impossible to create an underlying data set containing all features, objects or infrastructure types. Many other reasons like environmental parameters or aspect angles compound the application of ATR supplementary. Due to the lack of suitable ATR procedures, the human factor is still important and so far irreplaceable. In order to use the potential benefits of the human perception and computational methods in a synergistic way, both are unified in an interactive assistance system. RecceMan® (Reconnaissance Manual) offers two different modes for aerial image analysts on missions: the object recognition mode and the infrastructure analysis mode. The aim of the object recognition mode is to recognize a certain object type based on the object features that originated from the image signatures. The infrastructure analysis mode pursues the goal to analyze the function of the infrastructure. The image analyst extracts visually certain target object signatures, assigns them to corresponding object features and is finally able to recognize the object type. The system offers him the possibility to assign the image signatures to features given by sample images. The underlying data set contains a wide range of objects features and object types for different domains like ships or land vehicles. Each domain has its own feature tree developed by aerial image analyst experts. By selecting the corresponding features, the possible solution set of objects is automatically reduced and matches only the objects that contain the selected features. Moreover, we give an outlook of current research in the field of ground target analysis in which we deal with partly automated methods to extract image signatures and assign them to the corresponding features. This research includes methods for automatically determining the orientation of an object and geometric features like width and length of the object. This step enables to reduce automatically the possible object types offered to the image analyst by the interactive recognition assistance system.

Proceedings Article | 19 May 2015 Paper

Collaborative real-time motion video analysis by human observer and image exploitation algorithms

Jutta Hild, Wolfgang Krüger, Stefan Brüstle, Patrick Trantelle, Gabriel Unmüßig, Norbert Heinze, Elisabeth Peinsipp-Byma, Jürgen Beyerer

Proceedings Volume 9463, 94630C (2015) https://doi.org/10.1117/12.2180453

KEYWORDS: Video, Visualization, Eye, Optical tracking, Detection and tracking algorithms, Motion analysis, Tolerancing, Computing systems, Motion detection, Algorithm development

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Proceedings Article | 15 May 2015 Paper

Classification of short-lived objects using an interactive adaptable assistance system

Nadia El Bekri, Susanne Angele, Elisabeth Peinsipp-Byma

Proceedings Volume 9499, 949908 (2015) https://doi.org/10.1117/12.2180346

KEYWORDS: Image analysis, Data storage, Classification systems, Image classification, Visualization, Satellite imaging, Earth observing sensors, Satellites, Databases, Aluminum

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“Although we know that it is not a familiar object, after a while we can say what it resembles”. The core task of an aerial image analyst is to recognize different object types based on certain clearly classified characteristics from aerial or satellite images. An interactive recognition assistance system compares selected features with a fixed set of reference objects (core data set). Therefore it is mainly designed to evaluate durable single objects like a specific type of ship or vehicle. Aerial image analysts on missions realized a changed warfare over the time. The task was not anymore to classify and thereby recognize a single durable object. The problem was that they had to classify strong variable objects and the reference set did not match anymore. In order to approach this new scope we introduce a concept to a further development of the interactive assistance system to be able to handle also short-lived, not clearly classifiable and strong variable objects like for example dhows. Dhows are the type of ships that are often used during pirate attacks at the coast of West Africa. Often these ships were build or extended by the pirates themselves. They follow no particular pattern as the standard construction of a merchant ship. In this work we differ between short-lived and durable objects. The interactive adaptable assistance system is supposed to assist image analysts with the classification of objects, which are new and not listed in the reference set of objects yet. The human interaction and perception is an important factor in order to realize this task and achieve the goal of recognition. Therefore we had to model the possibility to classify short-lived objects with appropriate procedures taking into consideration all aspects of short-lived objects. In this paper we will outline suitable measures and the possibilities to categorize short-lived objects via simple basic shapes as well as a temporary data storage concept for shortlived objects. The interactive adaptable approach offers the possibility to insert the data (objects) into the system directly and on-site. To mitigate the manipulation risk the entry of data (objects) into the main reference (core data) set is granted to a central authorized unit.

Proceedings Article | 16 May 2013 Paper

Gaze interaction in UAS video exploitation

Jutta Hild, Stefan Brüstle, Norbert Heinze, Elisabeth Peinsipp-Byma

Proceedings Volume 8740, 87400H (2013) https://doi.org/10.1117/12.2015928

KEYWORDS: Video, Eye, Visualization, Image analysis, Sensors, Video surveillance, Databases, Image sensors, Visual analytics, Image resolution

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Proceedings Article | 22 May 2012 Paper

Coherent visualization of spatial data adapted to roles, tasks, and hardware

Boris Wagner, Elisabeth Peinsipp-Byma

Proceedings Volume 8383, 83830S (2012) https://doi.org/10.1117/12.919084

KEYWORDS: Visualization, Databases, Raster graphics, Geographic information systems, Sensors, Data storage, Neodymium, Computer security, Data storage servers, Video

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Proceedings Article | 8 May 2012 Paper

Improving usability for video analysis using gaze-based interaction

Jutta Hild, Elisabeth Peinsipp-Byma, Edmund Klaus

Proceedings Volume 8386, 838605 (2012) https://doi.org/10.1117/12.919042

KEYWORDS: Video, Eye, Video surveillance, Visualization, Computing systems, Human-computer interaction, Sensors, Image analysis, Visual analytics, Image processing

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Proceedings Article | 3 June 2011 Paper

Toward intelligent decision support for security staff: evaluation of an interactive resource management system based on a CMDP model

Jutta Hild, Jonathan Ott, Elisabeth Peinsipp-Byma

Proceedings Volume 8019, 80190A (2011) https://doi.org/10.1117/12.884270

KEYWORDS: Surveillance, Information security, Decision support systems, Human-machine interfaces, Homeland security, Optimal decision systems, Mathematical modeling, Visualization, Video, Computer security

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Proceedings Article | 1 May 2009 Paper

Digital map and situation surface: a team-oriented multidisplay workspace for network enabled situation analysis

E. Peinsipp-Byma, Jürgen Geisler, Thomas Bader

Proceedings Volume 7327, 732703 (2009) https://doi.org/10.1117/12.817903

KEYWORDS: Video surveillance, Video, Visualization, Surveillance, Intelligence systems, Reconnaissance, Sensors, Network security, Defense and security, Reconnaissance systems

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Proceedings Article | 18 February 2009 Paper

Evaluation of stereoscopic 3D displays for image analysis tasks

E. Peinsipp-Byma, N. Rehfeld, R. Eck

Proceedings Volume 7237, 72370L (2009) https://doi.org/10.1117/12.805943

KEYWORDS: Image analysis, Stereoscopic displays, Polarization, Glasses, Eye, Camera shutters, Visualization, Autostereoscopic displays, 3D displays, Earth observing sensors

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Proceedings Article | 14 April 2008 Paper

A semantic approach to the efficient integration of interactive and automatic target recognition systems for the analysis of complex infrastructure from aerial imagery

A. Bauer, E. Peinsipp-Byma

Proceedings Volume 6967, 69670Z (2008) https://doi.org/10.1117/12.777528

KEYWORDS: Detection and tracking algorithms, Sensors, Image sensors, Airborne remote sensing, Automatic target recognition, Object recognition, Reconnaissance, Human-machine interfaces, Image visualization, Optical sensors

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Proceedings Article | 29 January 2007 Paper

Situation analysis at a digital situation table with Fovea-Tablett

Elisabeth Peinsipp-Byma, Ralf Eck, Nils Rehfeld, Jürgen Geisler

Proceedings Volume 6495, 64950E (2007) https://doi.org/10.1117/12.704367

KEYWORDS: Fourier transforms, Infrared cameras, Cameras, Geographic information systems, Databases, Image processing, LCDs, Infrared imaging, Calibration, Tablets

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Proceedings Article | 16 August 2001 Paper

Detection and recognition of vehicles in high-resolution SAR imagery

Wolfgang Roller, Elisabeth Peinsipp-Byma, Anton Berger, Edmund Korres

Proceedings Volume 4380, (2001) https://doi.org/10.1117/12.436944

KEYWORDS: Synthetic aperture radar, Sensors, Reliability, Image quality, Image sensors, Image resolution, Speckle, Image processing, Image filtering, Data processing

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Proceedings Article | 28 December 1999 Paper

Examination of ERS and IRS-1C images for interactive image interpretation

Elisabeth Peinsipp-Byma, Wolfgang Roller

Proceedings Volume 3870, (1999) https://doi.org/10.1117/12.373232

KEYWORDS: Sensors, Synthetic aperture radar, Satellites, Bridges, Infrared sensors, Image sensors, Statistical analysis, Image classification, Roads, Satellite communications

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