Dr. Markus Mueller Profile

Dr. Markus Mueller

at Fraunhofer IOSB

SPIE Involvement:

Editor | Author

Proceedings Article | 26 May 2011 Paper

Vision-based drone flight control and crowd or riot analysis with efficient color histogram based tracking

Thomas Müller, Markus Müller

Proceedings Volume 8020, 80200R (2011) https://doi.org/10.1117/12.884213

KEYWORDS: Particle filters, Unmanned aerial vehicles, Visualization, Detection and tracking algorithms, Optical tracking, Image processing, Cameras, Video surveillance, Defense technologies, Automatic tracking

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Proceedings Article | 10 May 2011 Paper

CART V: recent advancements in computer-aided camouflage assessment

Thomas Müller, Markus Müller

Proceedings Volume 8014, 80140X (2011) https://doi.org/10.1117/12.884184

KEYWORDS: Camouflage, Image sensors, Infrared imaging, Infrared radiation, Image enhancement, Visualization, Cameras, Multispectral imaging, Image quality, Computing systems

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Proceedings Article | 22 April 2010 Paper

CART IV: improving automatic camouflage assessment with assistance methods

Thomas Müller, Markus Müller

Proceedings Volume 7662, 76620R (2010) https://doi.org/10.1117/12.850292

KEYWORDS: Camouflage, Image sensors, Image filtering, Image transmission, Signal to noise ratio, Image enhancement, Cameras, Detection and tracking algorithms, Digital filtering, Computing systems

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Proceedings Article | 22 April 2009 Paper

CART III: improved camouflage assessment using moving target indication

Thomas Müller, Thomas Honke, Markus Müller

Proceedings Volume 7300, 73000N (2009) https://doi.org/10.1117/12.820191

KEYWORDS: Camouflage, Cameras, Detection and tracking algorithms, Signal to noise ratio, Algorithm development, Infrared imaging, Image registration, Visualization, Infrared radiation, Image enhancement

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In order to facilitate systematic, computer aided improvements of camouflage and concealment assessment methods, the software system CART (Camouflage Assessment in Real-Time) was built up for the camouflage assessment of objects in image sequences (see contributions to SPIE 2007 and SPIE 2008 [1], [2]). It works with visual-optical, infrared and SAR image sequences. The system comprises a semi-automatic annotation functionality for marking target objects (ground truth generation) including a propagation of those markings over the image sequence for static as well as moving scene objects, where the recording camera may be static or moving. The marked image regions are evaluated by applying user-defined feature extractors, which can easily be defined and integrated into the system via a generic software interface. This article presents further systematic enhancements made in the recent year and addresses particularly the task of the detection of moving vehicles by latest image exploitation methods for objective camouflage assessment in these cases. As a main topic, the loop was closed between the two natural opposites of reconnaissance and camouflage, which was realized by incorporating ATD (Automatic Target Detection) algorithms into the computer aided camouflage assessment. Since object (and sensor) movement is an important feature for many applications, different image-based MTI (Moving Target Indication) algorithms were included in the CART system, which rely on changes in the image plane from an image to the successive one (after camera movements are automatically compensated). Additionally, the MTI outputs over time are combined in a certain way which we call "snail track" algorithm. The results show that their output provides a valuable measurement for the conspicuity of moving objects and therefore is an ideal component in the camouflage assessment. It is shown that image-based MTI improvements lead to improvements in the camouflage assessment process.

Proceedings Article | 15 April 2008 Paper

CACAMO - computer-aided camouflage assessment of moving objects

Thomas Müller, Markus Müller

Proceedings Volume 6941, 69410V (2008) https://doi.org/10.1117/12.782742

KEYWORDS: Camouflage, Detection and tracking algorithms, Optical flow, Image sensors, Cameras, Sensors, Visualization, Infrared imaging, Target detection, Image visualization

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Proceedings Article | 30 April 2007 Paper

Computer-aided camouflage assessment in real time

Thomas Müller, Markus Müller

Proceedings Volume 6543, 654307 (2007) https://doi.org/10.1117/12.724830

KEYWORDS: Camouflage, Navigation systems, Cameras, Image sensors, Infrared imaging, Visualization, Sensors, Infrared radiation, Image processing, Automatic target recognition

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Proceedings Article | 30 April 2007 Paper

Real-time image processing and fusion for a new high-speed dual-band infrared camera

Markus Müller, Oliver Schreer, Monica López Sáenz

Proceedings Volume 6543, 654310 (2007) https://doi.org/10.1117/12.724767

KEYWORDS: Cameras, Infrared imaging, Infrared cameras, Imaging systems, Long wavelength infrared, Mid-IR, Sensors, Quantum well infrared photodetectors, Image processing, Image fusion

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Proceedings Article | 25 May 2005 Paper

Real-time exploitation of image sequences in dynamic surroundings

Markus Mueller, Guenter Saur, Wolfgang Krueger

Proceedings Volume 5811, (2005) https://doi.org/10.1117/12.608114

KEYWORDS: Sensors, Image segmentation, Image sensors, Visualization, Surveillance, Forward looking infrared, Feature extraction, Image retrieval, Computing systems, Camouflage

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Proceedings Article | 5 September 2003 Paper

ATR-based camouflage effectiveness evaluation of MUSTAFA targets

Markus Mueller, Norbert Heinze, Dieter Clement

Proceedings Volume 5075, (2003) https://doi.org/10.1117/12.515356

KEYWORDS: Camouflage, Automatic target recognition, Target detection, Sensors, Detection and tracking algorithms, Infrared imaging, Infrared radiation, Reconnaissance, Image sensors, Forward looking infrared

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Proceedings Article | 18 September 2001 Paper

Multisensor data fusion and GIS utilization for ATR

Markus Mueller, Wolfgang Krueger, Norbert Heinze

Proceedings Volume 4370, (2001) https://doi.org/10.1117/12.440091

KEYWORDS: Image fusion, Data fusion, Geographic information systems, Detection and tracking algorithms, Sensors, Automatic target recognition, Target detection, Image registration, 3D modeling, Algorithm development

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Proceedings Article | 16 November 2000 Paper

Cancer diagnostics by infrared spectroscopy

Martina Meinke, Ingo Gersonde, Uwe Bindig, Markus Mueller, Kurt Miller, Gerhard Mueller

Proceedings Volume 4161, (2000) https://doi.org/10.1117/12.409331

KEYWORDS: Tissues, Bladder, Tumors, Data analysis, Error analysis, Biopsy, Connective tissue, Diagnostics, Statistical analysis, Absorbance

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Proceedings Article | 24 July 2000 Paper

Model-based target and background characterization

Markus Mueller, Wolfgang Krueger, Norbert Heinze

Proceedings Volume 4029, (2000) https://doi.org/10.1117/12.392515

KEYWORDS: Image fusion, Geographic information systems, Detection and tracking algorithms, Image registration, Algorithm development, Data modeling, Sensors, Target detection, Systems modeling, Synthetic aperture radar

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Proceedings Article | 14 July 1999 Paper

Saliency measures in cluttered IR images for ATR

Markus Mueller

Proceedings Volume 3699, (1999) https://doi.org/10.1117/12.352962

KEYWORDS: Automatic target recognition, Infrared imaging, Image processing, Error analysis, Target detection, Machine vision, Computer vision technology, Infrared detectors, Signal processing, Electronic filtering

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Proceedings Article | 7 July 1998 Paper

Automatic target detection in cluttered IR images

Markus Mueller, Axel Korn

Proceedings Volume 3375, (1998) https://doi.org/10.1117/12.327176

KEYWORDS: Target detection, Sensors, Infrared imaging, Infrared detectors, Infrared sensors, Automatic target recognition, Reconnaissance, Image analysis, Detection and tracking algorithms, Infrared radiation

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Proceedings Article | 20 June 1997 Paper

Computer-augmented detection of targets in cluttered and low-contrast backgrounds

Axel Korn, Markus Mueller, C.-K. Sung

Proceedings Volume 3062, (1997) https://doi.org/10.1117/12.276695

KEYWORDS: Target detection, Sensors, Image analysis, Image segmentation, Image sensors, Infrared sensors, Infrared imaging, Data processing, Reconnaissance, Infrared radiation

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Showing 5 of 15 publications

SPIE Conference Volume | 21 November 2018

Emerging Imaging and Sensing Technologies for Security and Defence III; and Unmanned Sensors, Systems, and Countermeasures

Conference Committee Involvement (2)

Artificial Intelligence and Machine Learning in Defense Applications

10 September 2019 | Strasbourg, France

Unmanned Sensors and Systems and Countermeasures

12 September 2018 | Berlin, Germany

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