Increasing the probability of recognizing a target using a two-dimensional image from the sensor of the visible range of the onboard complex of information support for search and rescue operations in the Arctic

Abstract

The article addresses the task of improving target recognition in onboard information support system for search and rescue operations in the Arctic region. One of the tasks performed by the complex is recognition of objects in twodimensional camera images, which suffer from the loss of the image brightness, being formed by constant brightness principle, with its direct impact on the probability of target recognition. To preserve the brightness of the image, the authors propose to process the primary signals of the camera according to the principle of constant color brightness. The proposed processing can increase the probability of correct target recognition. The paper analyzes the principles of encoding the primary signals of the television camera. For the object recognition problem, the cascades were trained based on the cascade classifier using the principles of constant brightness and constant color brightness. The output of the trained cascades has confirmed that the processing of the primary signals of a television camera based on the principle of constant brightness improves target recognition and therefore will increase the object recognition performance of the complex under development.

Keywords

• target recognition probability
• cascade classifier
• constant luminance principle
• constant color luminance principle