Evaluating motion estimation models from behavioural and psychophysical data

Emilien Tlapale 1 Pierre Kornprobst 1 Jan D. Bouecke 2 Heiko Neumann 2 Guillaume S. Masson 3
1 NEUROMATHCOMP
CRISAM - Inria Sophia Antipolis - Méditerranée , INRIA Rocquencourt, ENS Paris - École normale supérieure - Paris, UNS - Université Nice Sophia Antipolis, CNRS - Centre National de la Recherche Scientifique : UMR8548
3 DyVa Team
INCM - Institut de neurosciences cognitives de la méditerranée - UMR 6193, Université de la Méditerranée - Aix-Marseille 2
Abstract : Offering proper evaluation methodology is essential to continue progress in modelling the neural mechanisms involved in vision information processing. Currently the evaluation of biologically inspired motion estimation models lacks a proper methodology for comparing their performance against behavioural and psychophysical data. Here we set the basis for such a new benchmark methodology based on human visual performance and designed a database of image sequences taken from neuroscience and psychophysics literature. In this article we focused on two fundamental aspects of motion estimation, which are the respective influence between 1d versus 2d cues and the dynamics of motion integration. Since motion models deal with many kinds of motion representations and scales, we defined two general readouts based on a global motion estimation. Such readouts, namely eye movements and perceived motion, will serve as a reference to compare simulated and experimental data. Baseline results are provided for biologically inspired artificial vision models but also for computer vision models. As a whole we provide here the basis for a valuable evaluation methodology to unravel the fundamental mechanisms of motion perception in the visual cortex. Our database is freely available on the web together with scoring instructions and results at: http://www-sop.inria.fr/neuromathcomp/psymotionbench
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [36 references]  Display  Hide  Download

https://hal.inria.fr/hal-00847454
Contributor : Pierre Kornprobst <>
Submitted on : Thursday, October 26, 2017 - 1:53:34 PM
Last modification on : Wednesday, April 3, 2019 - 1:56:16 AM
Document(s) archivé(s) le : Saturday, January 27, 2018 - 1:11:13 PM

File

article.pdf
Files produced by the author(s)

Identifiers

Citation

Emilien Tlapale, Pierre Kornprobst, Jan D. Bouecke, Heiko Neumann, Guillaume S. Masson. Evaluating motion estimation models from behavioural and psychophysical data. International ICST Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS), Dec 2010, Boston, MA, United States. pp.483-496, ⟨10.1007/978-3-642-32615-8_46⟩. ⟨hal-00847454⟩

Share

Metrics

Record views

623

Files downloads

99