Analysis and Recognition in Images and Video

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Lihi Zelnik-Manor
lihi -at-
Personal website

phone: 04-8295736

Office:  Meyer 959
Office hours:  Upon request by email

Short description

This course will deal with methods for analyzing and interpreting the contents of images and video, by reviewing existing state-of-the-art approaches and algorithms. The methods will be explored through their usage in real-world applications such as visual summarization of video clips, special effects in movies or search in visual data bases such as YouTube.
Topics that will be explored: feature detection in video, motion estimation, video mosaics, video synthesis, recognizing objects, detecting people and action recognition.

In this course you will

  • Learn basic concepts in image and video analysis

  • Read state-of-the art academic papers

  • Implement published work and test it

  • Learn how to build an “executive summary” presentation of a scientific idea

  • Evaluate prior art

  • Propose your own solutions


A bunch of things you want to know. 

  • A good working knowledge of Matlab

  • Linear Algebra

  • Any previous exposure to computer vision, machine learning, applied probability, and/or image processing will be an asset.

Please feel free to contact me if you have any concerns about whether or not you should take this course.


None required.
Optional: Forsyth & Ponce, Computer Vision: A Modern Approach, Pearson, 2002, ISBN 0130851981


Email List:  Please send me an email asking to be added to the distribution list.
I will use emails to for updates/corrections/information.


The grade is based on a programming project and its presentation.