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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. In R. Marin, E. Onaindía, A. Bugarin, & J. Santos (Eds.), Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005, Revised Selected Papers (pp. 163-170). Heidelberg, Germany: Springer.

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 Creators:
Castrillón-Santana, M, Author           
Vuong, QC1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: 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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 Dates: 2006-10
 Publication Status: Issued
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 Identifiers: DOI: 10.1007/11881216_18
BibTex Citekey: 4227
 Degree: -

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Title: 11th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2005)
Place of Event: Santiago de Compostela, Spain
Start-/End Date: 2006-11-16 - 2006-11-18

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Title: Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005, Revised Selected Papers
Source Genre: Proceedings
 Creator(s):
Marin, R, Editor
Onaindía, E, Editor
Bugarin, A, Editor
Santos, J, Editor
Affiliations:
-
Publ. Info: Heidelberg, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 163 - 170 Identifier: ISBN: 978-3-540-45914-9

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 4177 Sequence Number: - Start / End Page: - Identifier: -