Literature DB >> 16611590

Movement-induced motion signal distributions in outdoor scenes.

J M Zanker1, J Zeil.   

Abstract

The movement of an observer generates a characteristic field of velocity vectors on the retina (Gibson 1950). Because such optic flow-fields are useful for navigation, many theoretical, psychophysical and physiological studies have addressed the question how ego-motion parameters such as direction of heading can be estimated from optic flow. Little is known, however, about the structure of optic flow under natural conditions. To address this issue, we recorded sequences of panoramic images along accurately defined paths in a variety of outdoor locations and used these sequences as input to a two-dimensional array of correlation-based motion detectors (2DMD). We find that (a) motion signal distributions are sparse and noisy with respect to local motion directions; (b) motion signal distributions contain patches (motion streaks) which are systematically oriented along the principal flow-field directions; (c) motion signal distributions show a distinct, dorso-ventral topography, reflecting the distance anisotropy of terrestrial environments; (d) the spatiotemporal tuning of the local motion detector we used has little influence on the structure of motion signal distributions, at least for the range of conditions we tested; and (e) environmental motion is locally noisy throughout the visual field, with little spatial or temporal correlation; it can therefore be removed by temporal averaging and is largely over-ridden by image motion caused by observer movement. Our results suggest that spatial or temporal integration is important to retrieve reliable information on the local direction and size of motion vectors, because the structure of optic flow is clearly detectable in the temporal average of motion signal distributions. Ego-motion parameters can be reliably retrieved from such averaged distributions under a range of environmental conditions. These observations raise a number of questions about the role of specific environmental and computational constraints in the processing of natural optic flow.

Mesh:

Year:  2005        PMID: 16611590     DOI: 10.1080/09548980500497758

Source DB:  PubMed          Journal:  Network        ISSN: 0954-898X            Impact factor:   1.273


  8 in total

1.  Motion perception and visual signal design in Anolis lizards.

Authors:  Leo J Fleishman; Adam C Pallus
Journal:  Proc Biol Sci       Date:  2010-06-30       Impact factor: 5.349

2.  Responses of blowfly motion-sensitive neurons to reconstructed optic flow along outdoor flight paths.

Authors:  N Boeddeker; J P Lindemann; M Egelhaaf; J Zeil
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-08-23       Impact factor: 1.836

3.  Image motion environments: background noise for movement-based animal signals.

Authors:  Richard Peters; Jan Hemmi; Jochen Zeil
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-02-09       Impact factor: 1.836

4.  Modeling and measuring the visual detection of ecologically relevant motion by an Anolis lizard.

Authors:  Adam C Pallus; Leo J Fleishman; Philip M Castonguay
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2009-11-12       Impact factor: 1.836

5.  Sensitivity to the visual field origin of natural image patches in human low-level visual cortex.

Authors:  Damien J Mannion
Journal:  PeerJ       Date:  2015-06-23       Impact factor: 2.984

6.  The combined effect of eye movements improve head centred local motion information during walking.

Authors:  Szonya Durant; Johannes M Zanker
Journal:  PLoS One       Date:  2020-01-30       Impact factor: 3.240

7.  Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds.

Authors:  Qinbing Fu; Shigang Yue
Journal:  Biol Cybern       Date:  2020-07-04       Impact factor: 2.086

8.  The evolution of patterning during movement in a large-scale citizen science game.

Authors:  Anna E Hughes; David Griffiths; Jolyon Troscianko; Laura A Kelley
Journal:  Proc Biol Sci       Date:  2021-01-13       Impact factor: 5.349

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.