Robust Face Detection and Tracking for Video Surveillance

Intelligent visual surveillance refers to the use of context rich visual sensors, i.e. video cameras, for the purpose of surveillance. Surveillance systems can be deployed in diverse environments, such as airports, department stores, office buildings, home buildings, conference rooms, parking lots, and hotels for diverse purposes, such as ambient and personal security, information recording, and personal identification. The aim of this project is to explore innovative face detection and tracking solutions to equip automatic, visual surveillance systems with features that allow increased privacy and customized communications.

Faculty Supervisor:

Dr. Kostas Plataniotis

Student:

Gaurav Jain

Partner:

Xiris Automation Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Toronto