GVU Technical Report Number:
GIT-GVU-98-25
Title:
A System for Tracking and Recognizing Multiple People with Multiple Camera
Authors:
Scott Stillman
R.Tanawongsuwan
Irfan A. Essa
Abstract:
In this paper we present a robust real-time method for tracking and
recognizing multiple people with multiple cameras. Our method uses both
static and Pan-Tilt-Zoom (PTZ) cameras to provide visual attention. The
PTZ camera system uses face recognition to register people in the scene
and ``lock-on'' to those individuals. The static camera system provides a
global view of the environment and is used to re-adjust the tracking of
the system when the PTZ cameras lose their targets. The system works well
even when people occlude one another. The underlying visual processes
rely on color segmentation, movement tracking and shape information to
locate target candidates. Color indexing and face recognition modules help
register these candidates with the system.
Keywords:
Computer vision, people recognition and tracking, vision-based interfaces,
interactive environments, smart spaces
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