Local analysis of visual motion

We inhabit an ever-changing environment, in which sensing, processing and acting upon these changes can be essential for survival. When we move or when objects in the world move, the visual images projected onto each of our retinas change accordingly. The psychologist J. J. Gibson noted that important environmental information is embedded in this pattern of local retinal image velocities (Gibson, 1950), and thus initiated a scientific quest to understand the mechanisms that might serve to estimate and represent these velocities. Since that time, visual motion perception has been the subject of extensive research in perceptual psychology, visual neurophysiology, and computational theory.

[1]  Harpreet S. Sawhney,et al.  Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding , 1995, Proceedings of IEEE International Conference on Computer Vision.

[2]  Ellen C. Hildreth,et al.  Computations Underlying the Measurement of Visual Motion , 1984, Artif. Intell..

[3]  Yair Weiss.  Bayesian motion estimation and segmentation , 1998 .

[4]  D Marr,et al.  Directional selectivity and its use in early visual processing , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[5]  Keith Langley,et al.  Computational analysis of non-Fourier motion , 1994, Vision Research.

[6]  C Koch,et al.  Computing motion in the primate's visual system. , 1989, The Journal of experimental biology.

[7]  Alex Pentland,et al.  Cooperative Robust Estimation Using Layers of Support , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Tomaso Poggio,et al.  From Understanding Computation to Understanding Neural Circuitry , 1976 .

[9]  Y. J. Tejwani,et al.  Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.

[10]  Eero P. Simoncelli,et al.  Separation of transparent motion into layers using velocity-tuned mechanisms , 1994 .

[11]  D. Heeger.  Half-squaring in responses of cat striate cells , 1992, Visual Neuroscience.

[12]  Eero P. Simoncelli,et al.  A computational model for perception of two-dimensional pattern ve-locities , 1992 .

[13]  D J Heeger,et al.  Model for the extraction of image flow. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[14]  E. Adelson,et al.  The analysis of moving visual patterns , 1985 .

[15]  Tomaso A. Poggio,et al.  Motion Field and Optical Flow: Qualitative Properties , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Edward H. Adelson,et al.  Motion illusions as optimal percepts , 2002, Nature Neuroscience.

[17]  Yves Burnod,et al.  Bayesian inference in populations of cortical neurons: a model of motion integration and segmentation in area MT , 1999, Biological Cybernetics.

[18]  J. Movshon,et al.  Spatial summation in the receptive fields of simple cells in the cat's striate cortex. , 1978, The Journal of physiology.

[19]  Edward H. Adelson,et al.  Representing moving images with layers , 1994, IEEE Trans. Image Process..

[20]  Anthony J. Movshon,et al.  Visual Response Properties of Striate Cortical Neurons Projecting to Area MT in Macaque Monkeys , 1996, The Journal of Neuroscience.

[21]  Edward H. Adelson,et al.  The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Claude L. Fennema,et al.  Velocity determination in scenes containing several moving objects , 1979 .

[23]  D N Mastronarde,et al.  Two classes of single-input X-cells in cat lateral geniculate nucleus. I. Receptive-field properties and classification of cells. , 1987, Journal of neurophysiology.

[24]  E H Adelson,et al.  Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[25]  J. Daugman.  Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[26]  Hans Wallach.  Über visuell wahrgenommene Bewegungsrichtung , 1935 .

[27]  G. F. Cooper,et al.  The spatial selectivity of the visual cells of the cat , 1969, The Journal of physiology.

[28]  R. Hetherington.  The Perception of the Visual World , 1952 .

[29]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[30]  Alan A. Stocker.  Constraint optimization networks for visual motion perception , 2001 .

[31]  李幼升,et al.  Ph , 1989 .

[32]  H. Rodman,et al.  Coding of visual stimulus velocity in area MT of the macaque , 1987, Vision Research.

[33]  Hans-Hellmut Nagel,et al.  Displacement vectors derived from second-order intensity variations in image sequences , 1983, Comput. Vis. Graph. Image Process..

[34]  H R Wilson,et al.  A model for motion coherence and transparency , 1994, Visual Neuroscience.

[35]  G. F. Cooper,et al.  The angular selectivity of visual cortical cells to moving gratings , 1968, The Journal of physiology.

[36]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[37]  D C Van Essen,et al.  Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation. , 1983, Journal of neurophysiology.

[38]  David J. Heeger,et al.  Model of visual motion sensing , 1994 .

[39]  S. Ullman.  The Interpretation of Visual Motion , 1979 .

[40]  Chuan Yi Tang,et al.  A 2.|E|-Bit Distributed Algorithm for the Directed Euler Trail Problem , 1993, Inf. Process. Lett..

[41]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[42]  T. Sejnowski,et al.  A selection model for motion processing in area MT of primates , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[43]  Andrew B. Watson,et al.  A look at motion in the frequency domain , 1983 .

[44]  G. Sperling,et al.  Drift-balanced random stimuli: a general basis for studying non-Fourier motion perception. , 1988, Journal of the Optical Society of America. A, Optics and image science.

[45]  R. Reid,et al.  Specificity of monosynaptic connections from thalamus to visual cortex , 1995, Nature.

[46]  T. Poggio,et al.  Visual hyperacuity: spatiotemporal interpolation in human vision , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[47]  A. Yuille,et al.  A model for the estimate of local image velocity by cells in the visual cortex , 1990, Proceedings of the Royal Society of London. B. Biological Sciences.

[48]  Eero P. Simoncelli,et al.  A model of neuronal responses in visual area MT , 1998, Vision Research.

[49]  Edward H. Adelson,et al.  A unified mixture framework for motion segmentation: incorporating spatial coherence and estimating the number of models , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.