Abstract
When observers view the relative movements of a pair of bars defined by the difference of spatial Gaussian functions (DOGs), they can accurately discriminate coherent movements over a range of temporal frequencies and temporal asynchronies. Of particular interest is the fact that performance accuracy is maintained even when the two bars differ in spatial-frequency content and contrast. On each trial, observers viewed two brief presentation intervals in which a pair of vertically oriented DOGs moved randomly back and forth within a restricted range. During one observation interval, both elements moved in the same direction and by the same magnitude (correlated), and in the other interval, the movements were independent (uncorrelated). Temporal asynchronies were introduced by delaying the displacement of the right bar relative to that of the left bar in each interval. Observers were able to discriminate correlated versus uncorrelated movements up to a 45–60-msec temporal delay between the two elements’ relative displacements. If motion processing is accomplished by mechanisms operating over multiple spatial and temporal scales, the visual system’s tolerance of temporal delays among correlated signals may facilitate their space-time integration, thereby capitalizing on the perceptual utility of coherent-motion information for image segmentation and interpolating surface structure from the movements of spatially separated features.
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Adelson, E. H., &Bergen, J. R. (1985). Spatiotemporal energy models for the perception of motion.Journal of the Optical Society of America A,2, 284–299.
Adelson, E. H., &Movshon, J. A. (1982). Phenomenal coherence of moving visual patterns.Nature,300, 523–525.
Anderson, S. J., &Burr, D. C. (1985). Spatial and temporal selectivity of the human motion detection system.Vision Research,8, 1147–1154.
Driver, L, &Baylis, G. C. (1989). Movement and visual attention: The spotlight metaphor breaks down.Journal of Experimental Psychology: Human Perception & Performance,15, 448–456.
Georgeson, M. A. (1987). Temporal properties of spatial contrast vision.Vision Research,27, 765–780.
Grzywacz, N. M., Smith, J. A., &Yuille, A. L. (1989). A common theoretical framework for visual motion’s spatial and temporal coherence.In Proceedings of IEEE Workshop on Visual Motion (pp. 148–155). Washington, DC: IEEE Computer Society Press.
Heeger, D. J. (1987). Model for the extraction of image flow.Journal of the Optical Society of America A,4, 1455–1471.
Kelly, D. H. (1979). Motion and vision: 2. Stabilized spatio-temporal threshold surface.Journal of the Optical Society of America,69, 1340–1349.
Koenderink, J. J. (1988). Scale-time.Biological Cybernetics,58, 159–162.
Lappin, J. S., Norman, J. F., &Mowafy, L. (1991). The detectability of geometric structure in rapidly changing optical patterns.Perception,20, 513–528.
Lappin, J. S., Wason, T. D., &Akutsu, H. (1987). Visual detection of common motion of spatially separate points.Bulletin of the Psychonomic Society,25, 343.
Mckee, S. P., &Welch, L. (1985). Sequential recruitment in the discrimination of velocity.Journal of the Optical Society of America A,2, 243–251.
Mowafy, L. (1991). Motion-based segregation of superimposed surfaces.Investigative Ophthalmology & Visual Science,32, 830.
Mowafy, L., Blake, R. &Lappin, J. S. (1990). Detection and discrimination of coherent motion.Perception & Psychophysics,48, 583–592.
Nakayama, K. (1985). Biological image motion processing: A review.Vision Research,25, 625–660.
Nakayama, K., &Silverman, G. H. (1984). Temporal and spatial characteristics of the upper displacement limit for motion in random dots.Vision Research,24, 293–300.
Ramachandran, V. S., &Anstis, S. M. (1983). Displacement thresholds for coherent apparent motion in random dot patterns.Vision Research,12, 1719–1724.
Regan, D., &Beverley, K. I. (1978). Looming detectors in the human visual pathway.Vision Research,18, 415–421.
Silverstein, D. A., Klein, S. A., &Carney, T. (1991). The detection of temporal asynchrony in two-dot targets.Investigative Ophthalmology & Visual Science,32(Suppl.), 842.
Stanford, L. R. (1987). Conduction velocity variations minimize conduction time differences among retinal ganglion cell axons.Science,238, 358–360.
Stone, L. S., Watson, A. B., &Mulligan, J. B. (1990). Effect of contrast on the perceived direction of a moving plaid.Vision Research,30, 1049–1067.
Van Santen, J. P. H., &Sperling, G. (1985). Elaborated Reichardt detectors.Journal of the Optical Society of America A,2, 300–320.
Watson, A. B., &Ahumada, A. J., Jr. (1985). Model of human visualmotion sensing.Journal of the Optical Society of America A,2, 322–341.
Watson, A. B., Thompson, P. G., Murphy, B. J., &Nachmias, J. (1980). Summation and discrimination of gratings moving in opposite directions.Vision Research,20, 341–347.
Williams, D., Phillips, G., &Sekuler, R. (1986). Hysteresis in the perception of motion direction as evidence for neural cooperativity.Nature,324, 253–255.
Williams, D., &Sekuler, R. (1984). Coherent global motion percepts from stochastic local motions.Vision Research,24, 55–62.
Wilson, H. R., &Bergen, J. R. (1979). A four mechanism model for threshold spatial vision.Vision Research,19, 19–32.
Yuille, A. L., &Grzywacz, N. M. (1988). A computational theory for the perception of coherent motion vision.Nature,333, 71–74.
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This research was supported in part by NIMH Postdoctoral Training Grant MH15792 to L.M., NIH Grant EY05926 to J.S.L, and NIH Vision Research Core Grant P30EY08126 to Vanderbilt University.
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Mowafy, L., Lappin, J.S., Anderson, B.L. et al. Temporal factors in the discrimination of coherent motion. Perception & Psychophysics 52, 508–518 (1992). https://doi.org/10.3758/BF03206712
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DOI: https://doi.org/10.3758/BF03206712