Research on target detection probability model based on headwear eye tracker

Camouflage is one of the important protective measures for targets in modern information warfare, and camouflage effect evaluation is an indispensable link in camouflage struggle. The survival and struggle ability of targets in the battlefield largely depends on the camouflage effect. The main purpose of this paper is to solve the problems existing in the existing target camouflage effect evaluation, it solves subjective judgment as the basis, quantitative and qualitative methods what are insufficient, camouflage effect which is difficult to predict. The detection probability of the target can be judged according to the significance degree, so as to realize the effect evaluation of Engineering camouflage. This model provides a unified mathematical description of the search and detection process. By making some simplified assumptions, Markov model with universality and flexibility is used to solve a very complex camouflage evaluation problem. Through the analysis of experimental data, the adaptability and effectiveness of this method are verified.