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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 R. Kasturi, D. Laurndeau, C. Suen, & N. Ayache (Eds.), Object recognition supported by user interaction for service robots (pp. 768-776). Piscataway, NJ, USA: IEEE.

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 Creators:
Bülthoff, HH1, 2, Author           
Wallraven, C1, 2, Author           
Graf, A1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2biological cy, ou_persistent22              

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 Abstract: 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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 Dates: 2002-08
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ICPR.2002.1048105
BibTex Citekey: 1496
 Degree: -

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Title: 16th International Conference on Pattern Recognition (ICPR 2002)
Place of Event: Quebec, Canada
Start-/End Date: 2002-08-11 - 2002-08-15

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Title: Object recognition supported by user interaction for service robots
Source Genre: Proceedings
 Creator(s):
Kasturi, R, Editor
Laurndeau, D, Editor
Suen, CY, Editor
Ayache, N, Editor
Affiliations:
-
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 768 - 776 Identifier: ISBN: 0-7695-1695-X