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  View-based dynamic object recognition based on human perception

Bülthoff, H., Wallraven, C., & Graf, A. (2002). View-based dynamic object recognition based on human perception. In 16th International Conference on Pattern Recognition (ICPR 2002) (pp. 768-776). Piscataway, NJ, USA: IEEE.

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 Urheber:
Bülthoff, HH1, Autor           
Wallraven, C1, Autor           
Graf, A1, 2, Autor           
Kasturi, Herausgeber
R., Herausgeber
Laurndeau, D., Herausgeber
Suen, C.Y., Herausgeber
Ayache, N., Herausgeber
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Zusammenfassung: Psychophysical studies have shown that humans actively exploit temporal information such as contiguity of images in object recognition. We have recently developed a recognition system which uses temporal contiguity to learn extensible representations of objects on-line. The system performs well both on real-world and synthetic data and shows robustness under illumination changes. In this paper, we present results which compare the proposed representation against simple image-based representations of the same complexity using Minkowski minimum distance classifiers and support vector machine classifiers. Recognition results for all classifiers show large improvements with incorporated temporal information.

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 Datum: 2002-08
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Identifikatoren: ISBN: 0-7695-1695-X
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1048105tag=1
DOI: 10.1109/ICPR.2002.1048105
BibTex Citekey: 1496
 Art des Abschluß: -

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Titel: 16th International Conference on Pattern Recognition (ICPR 2002)
Veranstaltungsort: Quebec, Canada
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Titel: 16th International Conference on Pattern Recognition (ICPR 2002)
Genre der Quelle: Konferenzband
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Affiliations:
Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 768 - 776 Identifikator: -