Animal detection precedes access to scene category.

The processes underlying object recognition are fundamental for the understanding of visual perception. Humans can recognize many objects rapidly even in complex scenes, a task that still presents major challenges for computer vision systems. A common experimental demonstration of this ability is th...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sébastien M Crouzet, Olivier R Joubert, Simon J Thorpe, Michèle Fabre-Thorpe
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/499c3a5dd8e744e790c7bfd6aa68ea25
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:499c3a5dd8e744e790c7bfd6aa68ea25
record_format	dspace
spelling	oai:doaj.org-article:499c3a5dd8e744e790c7bfd6aa68ea252021-11-18T08:05:43ZAnimal detection precedes access to scene category.1932-620310.1371/journal.pone.0051471https://doaj.org/article/499c3a5dd8e744e790c7bfd6aa68ea252012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23251545/?tool=EBIhttps://doaj.org/toc/1932-6203The processes underlying object recognition are fundamental for the understanding of visual perception. Humans can recognize many objects rapidly even in complex scenes, a task that still presents major challenges for computer vision systems. A common experimental demonstration of this ability is the rapid animal detection protocol, where human participants earliest responses to report the presence/absence of animals in natural scenes are observed at 250-270 ms latencies. One of the hypotheses to account for such speed is that people would not actually recognize an animal per se, but rather base their decision on global scene statistics. These global statistics (also referred to as spatial envelope or gist) have been shown to be computationally easy to process and could thus be used as a proxy for coarse object recognition. Here, using a saccadic choice task, which allows us to investigate a previously inaccessible temporal window of visual processing, we showed that animal - but not vehicle - detection clearly precedes scene categorization. This asynchrony is in addition validated by a late contextual modulation of animal detection, starting simultaneously with the availability of scene category. Interestingly, the advantage for animal over scene categorization is in opposition to the results of simulations using standard computational models. Taken together, these results challenge the idea that rapid animal detection might be based on early access of global scene statistics, and rather suggests a process based on the extraction of specific local complex features that might be hardwired in the visual system.Sébastien M CrouzetOlivier R JoubertSimon J ThorpeMichèle Fabre-ThorpePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 12, p e51471 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sébastien M Crouzet Olivier R Joubert Simon J Thorpe Michèle Fabre-Thorpe Animal detection precedes access to scene category.
description	The processes underlying object recognition are fundamental for the understanding of visual perception. Humans can recognize many objects rapidly even in complex scenes, a task that still presents major challenges for computer vision systems. A common experimental demonstration of this ability is the rapid animal detection protocol, where human participants earliest responses to report the presence/absence of animals in natural scenes are observed at 250-270 ms latencies. One of the hypotheses to account for such speed is that people would not actually recognize an animal per se, but rather base their decision on global scene statistics. These global statistics (also referred to as spatial envelope or gist) have been shown to be computationally easy to process and could thus be used as a proxy for coarse object recognition. Here, using a saccadic choice task, which allows us to investigate a previously inaccessible temporal window of visual processing, we showed that animal - but not vehicle - detection clearly precedes scene categorization. This asynchrony is in addition validated by a late contextual modulation of animal detection, starting simultaneously with the availability of scene category. Interestingly, the advantage for animal over scene categorization is in opposition to the results of simulations using standard computational models. Taken together, these results challenge the idea that rapid animal detection might be based on early access of global scene statistics, and rather suggests a process based on the extraction of specific local complex features that might be hardwired in the visual system.
format	article
author	Sébastien M Crouzet Olivier R Joubert Simon J Thorpe Michèle Fabre-Thorpe
author_facet	Sébastien M Crouzet Olivier R Joubert Simon J Thorpe Michèle Fabre-Thorpe
author_sort	Sébastien M Crouzet
title	Animal detection precedes access to scene category.
title_short	Animal detection precedes access to scene category.
title_full	Animal detection precedes access to scene category.
title_fullStr	Animal detection precedes access to scene category.
title_full_unstemmed	Animal detection precedes access to scene category.
title_sort	animal detection precedes access to scene category.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/499c3a5dd8e744e790c7bfd6aa68ea25
work_keys_str_mv	AT sebastienmcrouzet animaldetectionprecedesaccesstoscenecategory AT olivierrjoubert animaldetectionprecedesaccesstoscenecategory AT simonjthorpe animaldetectionprecedesaccesstoscenecategory AT michelefabrethorpe animaldetectionprecedesaccesstoscenecategory
_version_	1718422225712840704

Animal detection precedes access to scene category.

Ejemplares similares