Information Processing for Video Surveillance (SC766)Course Level: Intermediate
The purpose of this short course is to give a broad view of the many aspects of video surveillance. In particular, we will review the state-of-the-art in video surveillance as well as discuss the latest developments and future trends. From a technical point of view, the short course will address several important areas which are relevant in a video surveillance system, including video analysis, video coding, security, transmission and video database management. Besides the technical aspects, the short course will also address societal issues and legal aspects.
This course will enable you to:
- gain an overview of the state-of-the-art and latest developments in video surveillance, addressing not only technical issues, but also societal and legal aspects
- acquire an algorithmic understanding of the principles of video analysis for video surveillance applications, including change detection, biometrics and object tracking
- acquire an algorithmic understanding of the principles of video coding for video surveillance applications, including Motion JPEG 2000, MPEG-4, Advanced Video Coding (AVC), and Scalable Video Coding (SVC)
- develop an algorithmic understanding of the principles of secure imaging, including scrambling, encryption and digital signature
- gain a functional understanding of the basics of video transmission over wired or wireless IP networks
- gain an functional understanding of the basics of search and retrieval in video databases, including MPEG-7 and JPSearch, with an emphasis on features needed in video surveillance
Scientists, engineers, graduate students, strategy and product planners who need to understand all the aspects of state-of-the-art in video surveillance applications and its future trends will benefit from this course. Basic image and video processing knowledge or experience is assumed, along with some basic mathematical skills, for full understanding of all the concepts exposed.
Touradj Ebrahimi received his M.Sc. and Ph.D., both in Electrical Engineering, from the Swiss Federal Institute of Technology (EPFL). He has been with Sony Corporation, and AT&T Bell Laboratories. He is currently a professor at the Signal Processing Institute of EPFL, where he is involved in various aspects of digital video and multimedia applications. He is author or coauthor of over 150 papers and holds 10 patents. He is a Fellow of SPIE.
Frederic Dufaux received his M.Sc. in Physics and Ph.D. in Electrical Engineering from the Swiss Federal Institute of Technology (EPFL). He has more than 15 years experience in digital image and video processing, holding various research positions at AT&T Bell Laboratories, MIT, Compaq and EPFL. He is the author or co-author of more than 50 research publications and holds 10 patents.
No additional notes for this course format.