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Dr.-Ing. Jörg Velten

 

Kontakt

Raum:FE 1.06
Telefon:+49 (0)202 439 1811
E-Mail: velten{at}uni-wuppertal.de

 

Publikationen

Referenzen
67.
Tim Schwerdtfeger; Jörg Velten; Anton Kummert
A multidimensional wave digital filter bank for video-based motion analysis
Multidimensional Systems and Signal Processing, 25(2):295 - 311
April 2014
66.
Sam Schauland; Jörg Velten; Anton Kummert; Krzysztof Galkowski
Insufficiencies of Practical BIBO Stable n-D Systems
Multidimensional Systems and Signal Processing, 25:3 - 15
Januar 2014
ISSN: 0923-6082

Schlüsselwörter: multidimensional digital filters, multidimensional systems, Stability

65.
Jörg Velten; Alexandros Gavriilidis; Carsten Stahlschmidt; Thomas Sablik; Anna Heinemann; Anton Kummert
Tomographical object detection using a reduced number of projection angles
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 181 - 186.
September 2013
64.
Carsten Stahlschmidt; Alexandros Gavriilidis; Jörg Velten; Anton Kummert
Density Measurements from a Top-View Position using a Time-of-Flight Camera
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 193 - 198.
September 2013
63.
Thomas Sablik; Jörg Velten; Anton Kummert
Automatic Privacy Protection Based on Haar Cascades and Spectral Domain Watermarking
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 199 - 204.
September 2013

Zusammenfassung: A new system for automatic privacy protection in digital media, based on Haar cascades and spectral domain watermarking is described in the present paper. In a first step faces are detected by means of Haar cascades. Integral images are used to speed up calculations and the detection. Multiple detections of one face are combined. Succeeding steps comprise embedding the data into the image using spectral domain methods and deleting the area of privacy. An extended Discrete Haar Transformation is developed to transform arbitrary matrices. A Spread Spectrum method is used to embed the size and position of the faces into the cover image. Different methods for embedding regarding their fidality and performance are compared. Additionally the performance of the methods after cropping the images is presented.

62.
Anna Heinemann; Alexandros Gavriilidis; Carsten Stahlschmidt; Thomas Sablik; Tim Schwerdtfeger; Jörg Velten; Anton Kummert
Camera Based Object Position Estimation for Mobile Devices
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 175 - 180.
September 2013
61.
Alexandros Gavriilidis; Carsten Stahlschmidt; Jörg Velten; Anton Kummert
Evaluation of the Lens Distortion Errors in 2-D Image to 3-D World Coordinate Projections
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 187 - 191.
September 2013
60.
Alexandros Gavriilidis; Carsten Stahlschmidt; Jörg Velten; Anton Kummert
Feature Recycling Cascaded SVM Classifier Based on Feature Selection of HOGs for Pedestrian Detection
in 6th International Conference on Multimedia Communications, Services and Security ( MCSS'13) , Seite 82 - 94.
Juni 2013
59.
Carsten Stahlschmidt; Alexandros Gavriilidis; Jörg Velten; Anton Kummert
People Detection and Tracking from a Top-View Position Using a Time-of-Flight Camera
in 6th International Conference on Multimedia Communications, Services and Security (MCSS'13) , Seite 213 - 223.
Krakow, Poland
2013
58.
Jörg Velten; Sam Schauland; Alexandros Gavriilidis; Tim Schwerdtfeger; Fritz Boschen; Anton Kummert
Tomographical scene reconstruction in the active safety car project
of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC'12) , Seite 307 -312.
September 2012

Schlüsselwörter: active safety car project, automobiles, Biomedical imaging, camera based measurements, cameras, driver assistance systems, driver information systems, driveway monitoring, Image reconstruction, radiographing, road safety, Signal processing algorithms, tomographical background information, tomographical scene reconstruction algorithm, Tomography, Vehicles, view camera, visual light rays, Visualization

57.
Alexandros Gavriilidis; Jörg Velten; Anton Kummert; Stefan Müller-Schneiders; Dennis Müller
Sensor system blockage detection for night time headlight control based on camera and radar sensor information
of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC'12) , Seite 78 - 83.
Anchorage, USA
September 2012
ISBN: 978-1-4673-3064-0

Schlüsselwörter: Head light detection, Radar and camera sensor fusion, Sensor data fusion

Zusammenfassung: Driver assistance systems support overstrained and affected drivers and become more and more essential for series-production vehicles. In this paper a procedure for detection of a misaligned or blocked sensor system, including a radar and a camera sensor, will be introduced. It is important to inform the driver if an automatic headlight control is working reliable, in other words without limitations caused by external influence (e.g. dirt on the windscreen). The blockage detection algorithm is based on the fusion result of electronic radar measurements and a vision based head- and taillight detection algorithm. Results of the blockage detection algorithm are evaluated on misaligned measurements and online in a vehicle test system.

56.
Jörg Velten; Sam Schauland; Anton Kummert
Realization of multidimensional signal processing systems given in natural k-D state space description
Multidimensional Systems and Signal Processing, 23(1-2):281 - 290
Juni 2012
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