Optimal color quantization for real-time object recognition

Citation
J. Orwell et al., Optimal color quantization for real-time object recognition, REAL-TIME I, 7(5), 2001, pp. 401-414
Citations number
36
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Computer Science & Engineering
Journal title
REAL-TIME IMAGING
ISSN journal
1077-2014 → ACNP
Volume
7
Issue
5
Year of publication
2001
Pages
401 - 414
Database
ISI
SICI code
1077-2014(200110)7:5<401:OCQFRO>2.0.ZU;2-N
Abstract
Recognizing the reappearance of an object provides a useful functionality f or automated scene interpretation. While many modalities will in general co ntribute to this task, this paper focuses on the use of object color proper ties. Re-identifying objects between cameras requires a calibration of the respective color spaces, which are a function of both camera and lighting p roperties. Ways in which such calibration may be accomplished, on-line and without specialist equipment, are investigated. Matching against previously observed objects is an image retrieval problem, for which we develop an ex plicit representation of the observed color distribution. Color histograms can be built and compared in real time without specialist hardware: we inve stigate effective representations for classification of object identity. Th e camera capture noise characteristics are used to define optimal histogram quantization intervals. A model of the object color properties is built us ing multiple observations of the same object, acquired with the use of a sp atial object tracker. Comparative results on real data are presented for si ngle and multi-camera re-identification, using algorithms which may be exec uted in real time. (C) 2001 Academic Press.