For post incident investigation a complete reconstruction of
an event is needed based on surveillance footage of the crime scene and
surrounding areas. Reconstruction of the whereabouts of the people in
the incident requires the ability to follow persons within a camera's
field-of-view (tracking) and between different cameras (tracing). In con-
strained situations a combination of shape and color information is shown
to be best at discriminating between persons. In this paper we focus on
person tracing between uncalibrated cameras with non-overlapping field-
of-view. In these situations standard image matching techniques perform
badly due to large, uncontrolled variations in viewpoint, light source,
background and shading. We show that in these unconstrained real-life
situations, tracing results are very dependent on the appearance of the
subject.
@Article{MetternichTDHMS2010a,
author = "Metternich, M. J. and Worring, M. and Smeulders, A. W. M.",
title = "Color Based Tracing in Real-Life Surveillance Data",
journal = "Transactions on Data Hiding and Multimedia Security",
volume = "V",
year = "2010",
url = "https://ivi.fnwi.uva.nl/isis/publications/2010/MetternichTDHMS2010a",
pdf = "https://ivi.fnwi.uva.nl/isis/publications/2010/MetternichTDHMS2010a/MetternichTDHMS2010a.pdf",
has_image = 1
}