Detection and Tracking for Surveillance.
Larry Steven Davis · Indian Conference on Computer Vision, Graphics and Image Processing · 2004
This tutorial will cover problems related to detection and tracking from surveillance video. For detection, I will cover background subtraction for fixed and pan/tilt/zoom cameras, shape-based detection using machine learning techniques, and the use of periodic motion models to discriminate people from other moving objects in video. For tracking, I will discuss discus basic representation and control problems in tracking objects both continuously and with time gaps in coverage.