Graduate Seminar in CIS

Video Processing and Mining

CIS 750 – Spring 2003

Longin Jan Latecki, latecki@temple.edu

Lectures

Phase 1: Introduction to Computer Vision

01/27/2003: Introduction and Image similarity measures

02/03/2003: Digital Topology, Image Filters

http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip.html

02/10/2003: Image segmentation: 
Region Growing and Shrinking, Thresholding, Clustering

Homework1: Implement image segmentation based on clustering in the RGB color space
using k-means or other clustering algorithm.

02/17/2003: Snow Storm

02/24/2003: Introduction to Matlab by Nilesh Ghubade

Homework2: Implement motion detector using pixel-based image difference
and histogram-based image difference and compare results. You may use
an example Matlab program to obtain single images from videos. Some example videos are here.

Phase 2: System presentations based on the book by Paolo Remagnin, et al.

03/03/2003: Ch. 2: Roland Miezianko talk and videos

03/17/2003: Ch. 3: Ken Gorman talk and Ch. 10: Vneugopal Rajagopal talk

03/24/2003: Ch. 4: Nilesh Ghubade talk

03/31/2003: Ch. 5: Wan Wang talk and Ch. 8: Xiangdong Wen talk

04/07/2003: Ch. 20, 22: Ben Garrett talk

Phase 3: Project presentations: suggested projects

04/14/2003: Roland Miezianko: (6) Computing point correspondence and mosaics talk and programs

04/21/2003: Vneugopal Rajagopal: (7) SHOSLIF talk and
Ken Gorman: (5) Background learning using Gaussian mixture model talk and programs

04/28/2003: Nilesh Ghubade: (3) Background learning and tracking in W^4 talk and programs
Ch. 7: Xinzhen Wang talk (from Phase 2)

05/05/2003:Vivek Parameswaram (1) Eigenbackground talk
Sameer Raste tracking with Kalman filter talk 

05/12/2003:Ben Garrett: (4) Segmentation by background subtraction and tracking
Wan Wang:  (2) Optical flow and tracking talk and programs 
Xiangdong Wen: Flow of bin vectors talk and programs