ADAPTATION OF THE SELECTION METHOD FOR THE IMAGE OF A SMALL-SIZED OBJECT ON A NON-UNIFORM BACKGROUND TO THE CONDITIONS OF VIDEO SURVEILLANCE
The article deals with the selection of object images in television systems for applied purposes, namely, one of the methods of object selection based on compensation of non-uniformity background. An approach to adapting the method to the conditions of convergence of an object with a video surveillance point is described. Additional processing of the input signal is considered, which provides an exchange of resolution for the signal-to-noise ratio as the object size increases. Variants of structural schemes of the selection device are given. The results obtained by computer simulation of the adapted method are discussed. Examples of test images and graphs of quantitative dependencies are provided. Comparative diagrams of the average, maximum and root-mean-square deviation of the coordinates of the selected object from the reference values for all frames of the test video sequence for the adapted and original method are shown.