TUTORIAL SESSION

Computer Vision Techniques for Video Surveillance

Dr. Huiyu Zhou and Dr. Paul Miller
Queen’s University Belfast, United Kingdom
h.zhou@qub.ac.uk p.miller@qub.ac.uk

Abstract

Research in video surveillance has received overwhelming attention in the last three decades. Increased precautions are taken in security-sensitive areas, such as country borders, airports and government offices. Individuals are also seeking personalised security systems to continuously monitor their properties and valuable assets. To meet these requirements, cameras have been deployed to acquire sensory data, followed by thorough detection and assessment of threats on-line or off-line. Understanding and interpreting object behaviours based on video analysis has witnessed impressive progress in recent years. The performance of these surveillance systems is continuously improved.
This tutorial aims to cover the early stages of the video surveillance pipeline. Participants are expected to get new perspectives within the area of video surveillance. In more detail, the objectives of this tutorial are:
I) To become acquainted with computer vision techniques used for video surveillance tasks;
II) To experience theoretical and engineering project management for video surveillance;
III) To be able to evaluate the prospective usage of video surveillance techniques for real time operation.
The following is a list of tentative topics and the corresponding time allocations:
a) Introduction to video surveillance [15 minutes]
b) Object detection and tracking [30 minutes]
c) Human profiling [30 minutes]
d) Activity recognition [30 minutes]
e) Trajectory clustering [30 minutes]
f) Structure from motion [30 minutes]
This tutorial is intended for researchers and practitioners with background in general signal/image processing. Due to increased interest in video surveillance both in the academia and industry, we expect that this tutorial will be of great interests to the participants of CGIM 2013.