Readings in Vision, Graphics and Interactive Systems, Fall 2009 (VGIS 9th Semester) Zheng-Hua Tan, Associate Professor, Ph.D. +45 9635-8686, zt@es.aau.dk Office: Room A6-319, Niels Jernes Vej 12

Course description: This course aims to give the students a comprehension of the current state-of-the-art in advanced vision, graphics and interactive systems through the presentation and plenum discussion of a number of concepts and systems representative of the field. It will support the concrete topics of the different projects, and the content will therefore change from year to year. calendar Lecture notes: · Lecture 1: Hidden Markov Model (Zheng-Hua) o Slides o Readings:  Rabiner, L.R., "A tutorial on hidden Markov models and selected applications in speech recognition", Proceedings of the IEEE, 77 (2), 1989, pp. 257 - 286. (PDF. You have got user name and password to access it via email.) Steve Young, et al., "The HTK Book" (PDF) Huang, Acero and Hon, Spoken Language Processing - A Guide to Theory, Algorithm, and System Development, Chapter 8, Prentice Hall PTR, 2001.  o Assignment and solution.  · Lecture 2: BARCODES (Samuel Barcat and Geoffroy vidal) o Slides o Readings:  http://net.educause.edu/ir/library/pdf/ELI7046.pdf http://www.leuze.de/downloads/log/datamatrix/www-data-matrix-code_gb.pdf http://en.wikipedia.org/wiki/Barcode http://cedl03.free.fr/PsQREdit/PsQREdit-FR.exe · Lecture 3: Adaptive Foreground Detection in Video (Martin Andersen and Rasmus Andersen) o Slides o Readings:  A Survay on MoG (Mixture of Gaussians): T. Bouwmans, F. El Baf, B. Vachon, 2008 Background Modeling using Mixture of Gaussians for ForegroundDetection - A Survey http://hal.archives-ouvertes.fr/docs/00/33/82/06/PDF/RPCS_2008.pdf Article by the original authors of MoG: Stauffer, C.; Grimson, W.E.L., "Learning patterns of activity using real-time tracking," Pattern  Analysis and Machine Intelligence, IEEE Transactions on , vol.22, no.8, pp.747-757, Aug 2000 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=868677&isnumber=18808 An alternative method, not assuming Gausian distribution (memory demanding): Liyuan Li; Weimin Huang; Irene Yu-Hua Gu; Qi Tian, "Statistical modeling of complex         backgrounds for foreground object detection," Image Processing, IEEE Transactions on , vol.13,  no.11, pp.1459-1472, Nov. 2004 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1344037&isnumber=29595 o Exercise: foreground detector Example file (requiring OpenCV to be installed), makefile for Linux and video from the following webpage. http://mmc36.informatik.uni-augsburg.de/VSSN06_OSAC/#testvideo · Lecture 4: Camera Calibration (Christian Lindequist Larsen) o Slides o Readings:  Richard Hartley and Andrew Zisserman, Multiple view geometry in computer vision (2nd edition), Chapters 6 and 9. Camera Calibration Toolbox for Matlab: http://www.vision.caltech.edu/bouguetj/calib_doc/ · Lecture 5: Services Architectures (Cao-Long HUYNH & Gauthier LE REUN) o Slides o Readings:  · Lecture 6: Easy life lab RFID (Luben Ivanchev and Edouard Demeestere) o Slides o Readings:  Instructor: Zheng-Hua Tan, Department of Electronic Systems, Aalborg University