Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/17531
Title: Combining human perception and geometric restrictions for automatic pedestrian detection
Authors: Castrillón-Santana, M. 
Vuong, Quoc C.
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Head Tracking
Issue Date: 2006
Journal: Lecture Notes in Computer Science 
Conference: 11th Conference of the Spanish-Association-for-Artificial-Intelligence 
11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005 
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?
URI: http://hdl.handle.net/10553/17531
ISBN: 3-540-45914-6
9783540459149
ISSN: 0302-9743
DOI: 10.1007/11881216_18

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10.1007/11881216_18

Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 4177 LNAI, p. 163-170
Appears in Collections:Actas de congresos
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