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Biological model of motion integration and segmentation based on form cues

Émilien Tlapale 1, * Guillaume Masson 2 Pierre Kornprobst 1
* Corresponding author
1 ODYSSEE - Computer and biological vision
DI-ENS - Département d'informatique de l'École normale supérieure, CRISAM - Inria Sophia Antipolis - Méditerranée , ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, ENPC - École des Ponts ParisTech
Abstract : Active vision is an essential part of every biological organism possessing an eye system: posture, eye movements, visual research, ... All require a motion percept to operate. At the basis of active vision lays the ability to calculate movements of objects in the scene, at least on a sufficient level to react correctly. In this report we present a model of motion integration and segmentation in the first visual cortex areas. Specifically we modeled the first two cortex areas involved in motion processing in the primate: V1 and MT. To be able to process motion correctly a visual system also need to deal with form information. We investigate how form cues coming from the ventral pathway can be used by the V1/MT dorsal pathway to solve some perception problems. By using a recurrent dynamical system between the V1 and MT layers we are able to find out psychophysical results such as motion integration and center-surround effects due to the feedback connections, or end-of-line and 2D features detectors thanks to the shunting inhibition. We propose to modulate this system by a form information coming from the ventral stream and are thus able to explain asymmetric center-surround effects as well as motion segmentation and segregation between extrinsic and intrinsic junctions.
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Contributor : Émilien Tlapale <>
Submitted on : Monday, September 17, 2007 - 1:37:03 PM
Last modification on : Wednesday, October 14, 2020 - 3:46:45 AM
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  • HAL Id : inria-00172412, version 2



Émilien Tlapale, Guillaume Masson, Pierre Kornprobst. Biological model of motion integration and segmentation based on form cues. [Research Report] RR-6293, INRIA. 2007, pp.44. ⟨inria-00172412v2⟩



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