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Bayesian Vector Analysis and the Perception of Hierarchical Motion

Gershman, S. J. ; Jäkel, F. ; Tenenbaum, J. B. (2013)
Bayesian Vector Analysis and the Perception of Hierarchical Motion.
Proceedings of the 35th Annual Conference of the Cognitive Science Society / ed. by M. Knauff ; M. Plauen ; N. Sebanz ; I. Wachsmuth. Austin, TX
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Scenes filled with moving objects are often hierarchically or ganized: the motion of a migrating goose is nested within th flight pattern of its flock, the motion of a car is nested within the traffic pattern of other cars on the road, the motion of body parts are nested in the motion of the body. Humans perceive hierarchical structure even in stimuli with two or three moving dots. An influential theory of hierarchical motion perception holds that the visual system performs a "vector analysis" of moving objects, decomposing them into common and relative motions. However, this theory does not specify how to resolve ambiguity when a scene admits more than one vector analysis. We describe a Bayesian theory of vector analysis and show that it can account for classic results from dot motion experiments. Our theory takes a step towards understanding how moving scenes are parsed into objects.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Autor(en): Gershman, S. J. ; Jäkel, F. ; Tenenbaum, J. B.
Art des Eintrags: Bibliographie
Titel: Bayesian Vector Analysis and the Perception of Hierarchical Motion
Sprache: Englisch
Publikationsjahr: 2013
Ort: Austin, TX
Verlag: Cognitive Science Society
Veranstaltungstitel: Proceedings of the 35th Annual Conference of the Cognitive Science Society / ed. by M. Knauff ; M. Plauen ; N. Sebanz ; I. Wachsmuth
Veranstaltungsort: Austin, TX
URL / URN: http://mindmodeling.org/cogsci2013/papers/0112/paper0112.pdf
Kurzbeschreibung (Abstract):

Scenes filled with moving objects are often hierarchically or ganized: the motion of a migrating goose is nested within th flight pattern of its flock, the motion of a car is nested within the traffic pattern of other cars on the road, the motion of body parts are nested in the motion of the body. Humans perceive hierarchical structure even in stimuli with two or three moving dots. An influential theory of hierarchical motion perception holds that the visual system performs a "vector analysis" of moving objects, decomposing them into common and relative motions. However, this theory does not specify how to resolve ambiguity when a scene admits more than one vector analysis. We describe a Bayesian theory of vector analysis and show that it can account for classic results from dot motion experiments. Our theory takes a step towards understanding how moving scenes are parsed into objects.

Fachbereich(e)/-gebiet(e): 03 Fachbereich Humanwissenschaften
03 Fachbereich Humanwissenschaften > Institut für Psychologie
03 Fachbereich Humanwissenschaften > Institut für Psychologie > Modelle höherer Kognition
Hinterlegungsdatum: 09 Jul 2018 09:21
Letzte Änderung: 12 Okt 2020 10:34
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