Dynamical Systems Approach to Target Motion Perception and Ocular Motion Control

In this paper, we introduce a dynamical systems approach to two problems. The first problem is to dynamically estimate the motion parameters of a moving target. The second problem is to dynamically control the orientation of the visual system. In the first problem we consider a planar textured surface undergoing a rigid or an affine motion. The visual system is a CCD camera which is assumed to be held fixed in space. The observation model for the camera is assumed to be a perspective projection model. We show the underlying dynamical system is a “perspective system.” In the second problem, the visual system is assumed to be the oculomotor system. A dynamic model of the associated control system is developed that is particularly appropriate for modeling saccadic and smooth pursuit eye movements. The eye is controlled by extraocular muscles and the control signals are generated by motoneuronal activity. The problem of orientation control of a visual system to track a given moving target is an example of perspective control which has been introduced in this paper. Perspective control of ocular motion would be a subject of future investigation.

[1]  Kenneth L. Bowers,et al.  Computation and Control III , 1991 .

[2]  René Descartes,et al.  The Treatise on Man , 1972 .

[3]  B. Ghosh,et al.  A generalized Popov-Belevitch-Hautus test of observability , 1995, IEEE Trans. Autom. Control..

[4]  K. Kanatani Group-Theoretical Methods in Image Understanding , 1990 .

[5]  W. Boothby An introduction to differentiable manifolds and Riemannian geometry , 1975 .

[6]  W. Dayawansa,et al.  A necessary and sufficient condition for the perspective observability problem , 1995 .

[7]  Clyde F. Martin,et al.  Dynamics of Ocular Motion , 1995 .

[8]  F. Zajac Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. , 1989, Critical reviews in biomedical engineering.

[9]  Thomas S. Huang,et al.  Estimating three-dimensional motion parameters of a rigid planar patch , 1981 .

[10]  Mrdjan Jankovic,et al.  Some Problems In Perspective System Theory And Its Application To Machine Vision , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Lawrence Stark,et al.  Control of human eye movements: II. a model for the extraocular plant mechanism , 1974 .

[12]  M.L.J. Hautus,et al.  Controllability and observability conditions of linear autonomous systems , 1969 .

[13]  L. Stark,et al.  Control of human eye movements: I. modelling of extraocular muscle , 1974 .

[14]  D. Robinson The mechanics of human saccadic eye movement , 1964, The Journal of physiology.

[15]  G. Westheimer Mechanism of saccadic eye movements. , 1954, A.M.A. archives of ophthalmology.

[16]  Joe W. Harris,et al.  Principles of Algebraic Geometry , 1978 .

[17]  Allen M. Waxman,et al.  Surface Structure and Three-Dimensional Motion from Image Flow Kinematics , 1985 .

[18]  L Stark,et al.  The human eye-movement mechanism. Experiments, modeling, and model testing. , 1968, Archives of ophthalmology.

[19]  B. Ghosh,et al.  A Perspective Theory for Motion and Shape Estimation in Machine Vision , 1995 .

[20]  Bijoy K. Ghosh,et al.  A realization theory for perspective systems with applications to parameter estimation problems in machine vision , 1996, IEEE Trans. Autom. Control..

[21]  Laurence R. Young,et al.  Variable Feedback Experiments Testing a Sampled Data Model for Eye Tracking Movements , 1963 .

[22]  Joseph D. Bronzino,et al.  The Biomedical Engineering Handbook , 1995 .