I received my PhD from the University of Central Florida, School of Computer Science in Fall 2003. My area of research is Computer Vision. My advisor is Dr. Mubarak Ali Shah and I worked with him at Computer Vision Lab @ UCF, from January 2000 to December 2003. I received my Bachelors Degree in Electrical Engineering from NED University of Engineering and Technology, Karachi in 1998. Currently, I am working at ObjectVideo as a Video Scientist. My email address is {z my_last_name} at cs.ucf.edu

Video Segmentation and Categorization
	Segmentation of Interview Videos
	Scene Boundary Detection in Hollywood Movies and TV Show Accepted for oral presentation in IEEE CVPR 2003
	Movie Genre Classification from Previews
Human Surveillance
	Tracking in Multiple Cameras with Overlapping FOV
	Tracking Across Multiple Cameras with Disjoing Views

Publications

Thesis
Video Categorization using Semantics and Semiotics
Defended on Friday, 29th August 2003.

Presentation: Power Point (Pdf)

Book Chapters
Video Categorization using Semantics and Semiotics
In Video Mining Techniques
Editors: Daniel DeMenthon, David Doermann, Azriel Rosenfeld
KLUWER Academic Publishers, 2003.

Journal papers
Rasheed Z, Sheikh Y and Shah M.,
On the use of Computable Features for Film Classification,
IEEE Transactions on Circuit and Systems for Video Technology. Expected date of publication: June, 2004.

Javed O, Khan S, Rasheed Z and Shah M.
Visual Content Based Segmentation of Talk and Game Shows
International Journal of Computers and Applications (ACTA press), June 2002.

Conference papers

Video Segmentation and Classification

Rasheed Z and Shah M.
Scene Detection In Hollywood Movies and TV Shows
Oral presentation in IEEE Computer Vision and Pattern Recognition Conference, Madison, Wisconsin, June 16-22 2003.

Zhai Y, Rasheed Z, Shah M,
Conversation Detection in Feature Films Using Finite State Machines
17th International Conference on Pattern Recognition, 2004.

Zhai Y, Rasheed Z, Shah M,
A Framework for Semantic Classification of Scenes Using Finite State Machines
Oral presentation in the International Conference on Image and Video Retrieval, July 21-23, 2004 .

Rasheed Z and Shah M.
Movie Genre Classification By Exploiting Audio-Visual Features Of Previews
International Conference on Pattern Recognition, Québec City, Canada, August 11-15, 2002.

Javed O, Rasheed Z, Shah M.
A Framework for Segmentation of Talk & Game Shows
The Eighth IEEE International Conference on Computer Vision, Vancouver, Canada. July 9-12, 2001.

Javed M, Khan S, Rasheed Z and Shah M.
A Framework for Segmentation of Interview Videos
IASTED Internationla Conference on Internet and Multimedia Systems and Applications, Las Vegas, Nov 20-23, 2000.

Tracking and Surveillance

Javed O, Rasheed Z, Shafique K and Shah M.
Tracking Across Multiple Cameras With Disjoint Views
The Ninth IEEE International Conference on Computer Vision, Nice, France, 2003.

Javed O, Rasheed Z, Alatas O and Shah M.
KNIGHTM:A Real Time Surveillance System for Multiple Overlapping and Non-Overlapping Cameras
The fourth International Conference on Multimedia and Expo (ICME 2003), Baltimore, Maryland, 2003.

Khan S, Javed O, Rasheed Z and Shah M.
Human Tracking in Multiple Cameras
The Eighth IEEE International Conference on Computer Vision, Vancouver, Canada. July 9-12, 2001.

Workshop papers

Rasheed Z, Sheikh Y and Shah M.
Semantic Film Preview Classification Using Low-Level Computable Features
3rd International Workshop on Multimedia Data and Document Engineering (MDDE-2003), September, 8th 2003, Berlin, Germany, in conjunction with 29th International Conference on Very Large Data Bases (VLDB-2003)

Rasheed Z and Shah M.
A Graph Theoretic Approach for Scene Detection in Produced Videos
Multimedia Information Retrieval Workshop 2003 in conjunction with the 26th annual ACM SIGIR conference on Information Retrieval, 1 Aug 2003, Toronto, Canada.

Javed O, Khan S, Rasheed Z and Shah M.
Camera Handoff: Tracking in Multiple Uncalibrated Stationary Cameras
IEEE Workshop on Human Motion, HUMO-2000, Austin, TX, Dec 7-8, 2000.

Research Experience

Army STRICOM Project
Visual Tracking for Individual Combatant Simulation. Implementation of tracking and activity recognition algorithms in real time for indoor surveillance system.

Lockheed Martin Project
Implementation of Multiple Camera Tracking System in real time.

Fellowships
Awarded Hillman Fellowship for Excellence in Research in the Ph.D. Program Computer Science, May 2001.

Codes

Affine motion parameter estimation (by Anandan) C  Matlab

Links
Computer Vision Lab at UCF
Computer Vision Home page
Meet the Vision group @ UCF