Title :
Kinematic and 3D motion prediction for gaze control
Author :
Brown, Christopher
Author_Institution :
Dept. of Comput. Sci., Rochester Univ., NY, USA
Abstract :
Estimation and prediction of the state of dynamical systems operating in three dimensions, and of mechanisms acting in space, provide a way for multiple-loop, multirate, time-delayed control systems to cooperate. Animate vision systems, biological or robotic, employ gaze control systems to acquire, fixate, and stabilize images. The aim is to build robust gaze control behavior from cooperating lower level visual reflexes. Solutions are explored through simulation incorporating ten primitive gaze control capabilities, more or less comparable to subsystems in primate gaze and head control. Versions of several of the subsystems have been implemented on a binocular robot. Smith prediction is the basic paradigm, using kinematic simulation of the agent and optimal filtering to predict world state
Keywords :
computer vision; computerised pattern recognition; control systems; digital simulation; filtering and prediction theory; kinematics; robots; 3D motion prediction; Smith prediction; binocular robot; gaze control systems; kinematic simulation; lower level visual reflexes; optimal filtering; ten primitive gaze control capabilities; Animation; Biological control systems; Control systems; Kinematics; Machine vision; Motion control; Orbital robotics; Robot control; Robot vision systems; State estimation;
Conference_Titel :
Interpretation of 3D Scenes, 1989. Proceedings., Workshop on
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-2007-2
DOI :
10.1109/TDSCEN.1989.68113