VPQM 2010, 5th International Workshop on Video Processing and Quality Metrics for Consumer Electronics, January 13-15, 2010, Scottsdale, USA
Color is an important and powerful cue in the distinction
and recognition of objects, however identifying or matching
the surface color of a moving object in a video surveillance
system is very critical. In this paper we describe a new approach
aiming at providing a comparison of themore widely
used color spaces in identifying colors in motion sensors.
We employ a statistical approach by conducting extensive
data mining on video clips collected under various lighting
conditions and distances from several video-cameras. The
goal is to learn how individual colors can drift in different
illumination conditions and with different color spaces.
Type:
Conférence
City:
Scottsdale
Date:
2010-01-13
Department:
Sécurité numérique
Eurecom Ref:
3027
Copyright:
© EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in VPQM 2010, 5th International Workshop on Video Processing and Quality Metrics for Consumer Electronics, January 13-15, 2010, Scottsdale, USA and is available at :
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