Lehrstuhl für Allgemeine Elektrotechnik und Theoretische Nachrichtentechnik
Prof. Dr.- Ing. Anton Kummert
Dr.-Ing. Jörg Velten
|Telefon:||+49 (0)202 439 1811|
Detection of ascending and descending stairways by surface normal vectors
of the 9th International Workshop on Multidimensional (nD) Systems (nDS'15) , Seite 83 - 86.
Vila Real, Portugal
2-D signal theoretic investigation of background elimination in visual tomographic reconstruction for safety and enabling health applications
2015 IEEE International Symposium on Circuits and Systems (ISCAS) , Seite 2377-2380.
Schlüsselwörter: 2D signal theoretic investigation, 3D scene reconstruction, background elimination, Biomedical imaging, cameras, classical medical tomography applications, computerised tomography, elderly people, filtering techniques, health applications, Image reconstruction, Legged locomotion, mathematical analysis, mathematical description, medical image processing, medical tomography, multidimensional spectra, physical disabilities, Radio frequency, reconstruction process, reconstruction quality, Tomography, visual tomographic reconstruction, Visualization
LDA Combined Depth Similarity and Gradient Features for Human Detection Using a Time-of-Flight Sensor
of the 10th International Conference on Computer Vision Theory and Applications (VISAPP'15)
Privacy protection in surveillance systems based on JPEG DCT baseline compression and spectral domain watermarking
Proceedings SPIE 9443 of the sixth international conference on Graphic and Image Processing (ICGIP'14) Band 9443 , Seite 94432U - 94432U7.
Applications for a people detection and tracking algorithm using a time-of-flight cameraMultimedia Tools and Applications,
A multidimensional wave digital filter bank for video-based motion analysisMultidimensional Systems and Signal Processing, 25(2):295 - 311
Insufficiencies of Practical BIBO Stable n-D SystemsMultidimensional Systems and Signal Processing, 25:3 - 15
Schlüsselwörter: multidimensional digital filters, multidimensional systems, Stability
RSSI-Based Real-Time Indoor Positioning Using ZigBee Technology for Security Applications
In Dziech, A. and Czcyzewski, Andrzej, Editor, 7th International Conference, MCSS 2014, Krakow, Poland, June 11-12, 2014. Proceedings Band 429 aus Multimedia Communications, Services and Security , Seite pp 83-95.
Herausgeber: Springer International Publishing,
Schlüsselwörter: Indoor Positioning, RSSI based Position Estimation, Trilateration, ZigBee
Zusammenfassung: Localization in indoor environments is an important aspect with regard to mobile security applications. Because here, the global positioning system (GPS) is not available or very imprecise, other positioning systems are required. For that matter wireless sensor networks provide two common approaches based on received signal strength indicators (RSSI). The first one uses fingerprints and the second is based on trilateration. Because fingerprinting needs a lot of training and (re-)calibration, this paper presents a new indoor positioning system based on RSSIs and trilateration using ZigBee technology. Since RSSI measurements are very susceptible to noise, the gathered RSSIs have to be preprocessed before they can be used for position calculations. For this reason, the RSSIs were averaged using time-dependent weights and smoothed over time so that outliers and old RSSIs can be eliminated. The presented indoor positioning system was verified by experiments.
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.
Camera Based Object Position Estimation for Mobile Devices
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 175 - 180.
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.
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.
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.