Autonomic Computer Vision Systems
نویسندگان
چکیده
For most real applications of computer vision, variations in operating conditions result in poor reliability. As a result, real world applications tend to require lengthy set-up and frequent intervention by qualified specialists. In this paper we describe how autonomic computing can be used to reduce the cost of installation and enhance reliability for practical computer vision systems. We begin by reviewing the origins of autonomic computing. We then describe the design of a tracking-based software component for computer vision. We use a software component model to describe techniques for regulation of internal parameters, error detection and recovery, self-configuration and self-repair for vision systems.
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