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Bayesian Vector Analysis and the Perception of Hierarchical Motion

Gershman, S. J. and Jäkel, F. and Tenenbaum, J. B.
Knauff, M. and Pauen, M. and Sebanz, N. and Wachsmuth, I. (eds.) :

Bayesian Vector Analysis and the Perception of Hierarchical Motion.
[Online-Edition: http://mindmodeling.org/cogsci2013/papers/0112/paper0112.pdf]
In: Proceedings of the 35th Annual Conference of the Cognitive Science Society, Austin, TX. Cognitive Science Society , Austin, TX
[Conference or Workshop Item] , (2013)

Official URL: http://mindmodeling.org/cogsci2013/papers/0112/paper0112.pdf

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.

Item Type: Conference or Workshop Item
Erschienen: 2013
Editors: Knauff, M. and Pauen, M. and Sebanz, N. and Wachsmuth, I.
Creators: Gershman, S. J. and Jäkel, F. and Tenenbaum, J. B.
Title: Bayesian Vector Analysis and the Perception of Hierarchical Motion
Language: English
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.

Place of Publication: Austin, TX
Publisher: Cognitive Science Society
Divisions: 03 Department Human Sciences
03 Department Human Sciences > Institute for Psychology
03 Department Human Sciences > Institute for Psychology > Models of Higher Cognition
Event Title: Proceedings of the 35th Annual Conference of the Cognitive Science Society
Event Location: Austin, TX
Date Deposited: 09 Jul 2018 09:21
Official URL: http://mindmodeling.org/cogsci2013/papers/0112/paper0112.pdf
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