OPTIMIZATION OF JOINT SEARCH AND DETECTION OF OBJECTS IN TECHNICAL SURVEILLANCE SYSTEMS

Abstract

The subject matter of the article is joint search and detection of objects in technical surveillance system. The goal is solve the problem of optimizing joint search and detection of objects in technical surveillance system and develop a method for assessing the effectiveness of joint search and detection of objects for technical surveillance systems. Results. Introduced the current discrete area of view. The task of finding the optimal Bayes decision-making rule in the introduced current discrete area of view is posed and solved. The specified Bayes optimal decision rule is formulated. Proposes the efficiency estimation method of joint search and detection of objects for surveillance technical systems. An algorithm has been developed for calculating the unconditional probability of detecting an object of surveillance during a joint search and detection of objects in technical surveillance systems. Conclusions. Shown, that a joint search and detection of the objects of surveillance using a uniformly optimal search strategy provides a higher unconditional probability of the correct detection of the object of surveillance. In future research, it is necessary to assess the average time that is needed to detect the object of surveillance during the joint search and detection of objects and uniform distribution of the search potential of technical surveillance systems.

Keywords

• technical surveillance system
• area of view
• joint search and detection of objects
• minimum average risk criterion
• optimal Bayes decision rule