Numerical complexity of real-time tracking of objects in defined space by infrared optoelectronic devices

Abstract

Remote tracking and recognition of various objects in defined space are complex multidisciplinary problems. Depending on selected scene being investigated (object size and dynamics, time needed for data processing and estimation), and on chosen optoelectronic system design, several solutions are available. For the fieldwork, the passive remote detection seems to be the most convenient. Economically reasonable approach with selected non-sophisticated modest equipment is proposed, evaluated and discussed. A numerical experiment is performed with own-developed algorithm in which unreal cases are automatically eliminated during the output vector data evaluation. Gaussian distribution method is implemented here. The average calculated times, resulted from simulation, were shorter than simulated values increased by 3 sigma.