Tracking multiple individuals for video communication
Avanzi, A.
Bremond, F.
Thonnat, M.
INRIA, Sophia Antipolis;
This paper appears in: Image Processing, 2001. Proceedings. 2001 International Conference on
Publication Date: 7-10 Oct 2001
Volume: 2,
On page(s): 379-382 vol.2
Meeting Date: 10/07/2001 - 10/10/2001
Location: Thessaloniki, Greece
ISBN: 0-7803-6725-1
References Cited: 9
INSPEC Accession Number: 7211126
Digital Object Identifier: 10.1109/ICIP.2001.958507
Current Version Published: 2002-08-07
Abstract
We propose a new interpretation platform dedicated to video
communication. Basically, a video communication system takes an image
flow from a camera and broadcasts it in a computer network. The goal of
interpretation is to enable the video communication system to adapt
automatically the broadcasted image flow, using image filtering,
blurring and zooming. For that we need to detect and track individuals
in office scenes, then to understand their behaviour. We focus on a new
tracking method based on a 3D model of the scene, on explicit models of
individuals and on the computation of several possible paths for each
individual. The main issues of the tracking algorithm are presented.
Finally we show the results of our algorithm for several sequences
illustrating office activities in everyday situations
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
