The Efficiency Estimation Method of Joint Search and Detection of Objects for Surveillance Technical Systems
Hennadii Khudov
Abstract
The article proposes the efficiency estimation method of joint search and detection of objects for surveillance technical systems. The differential characteristics of the Bayes criterion of minimum average risk, a priori probabilities of hypotheses about the absence of an object and its presence are taken into account in the calculations. An algorithm has been developed for calculating the unconditional probability of detecting an object of observation during a joint search and detection of objects in technical surveillance systems. 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.