Title :
Selective fixation control for machine vision: a survey
Author_Institution :
Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
The author describes methods for automatically directing camera gaze to new visual targets. Recent research has shown that computational advantages may be realized for vision problems when cameras are capable of fixating on an object of interest. The emphasis is not on physical aspects of controlling camera moments, but on quantitative methods used in the selection of new targets for fixation. Because many of these methods are motivated by human visual perception, a summary of relevant research in human vision is given. This is followed by a discussion of computational models for selective fixation control
Keywords :
computer vision; visual perception; camera gaze; computational models; computer vision; human vision; machine vision; selective fixation control; visual perception; Automatic control; Cameras; Computational modeling; Computer vision; Face recognition; Humans; Image analysis; Machine vision; Target tracking; Visual perception;
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
DOI :
10.1109/ICSMC.1991.169651