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  Combining Human Perception and Geometric Restrictions for Automatic Pedestrian Detection

Castrillón-Santana, M., & Vuong, Q. (2006). Combining Human Perception and Geometric Restrictions for Automatic Pedestrian Detection. Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2005), 163-170.

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Castrillón-Santana, M1, Autor           
Vuong, QC1, Autor           
Marin, R., Herausgeber
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Zusammenfassung: Automatic detection systems do not perform as well as human observers, even on simple detection tasks. A potential solution to this problem is training vision systems on appropriate regions of interests (ROIs), in contrast to training on predefined and arbitrarily selected regions. Here we focus on detecting pedestrians in static scenes. Our aim is to answer the following question: Can automatic vision systems for pedestrian detection be improved by training them on perceptually-defined ROIs?

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 Datum: 2006-10
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
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 Identifikatoren: URI: http://www-gsi.dec.usc.es/caepia05/en/index_en.html
DOI: 10.1007/11881216_18
BibTex Citekey: 4227
 Art des Abschluß: -

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Titel: 11th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2005)
Veranstaltungsort: Santiago de Compostela, Spain
Start-/Enddatum: -

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Titel: Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2005)
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Heidelberg, Germany : Springer
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 163 - 170 Identifikator: -