Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes

This thesis is devoted to development of visitor's queue density analysis and registration method for a retail videosurveillance systems. Developed method of foreground segmentation is based on initial background modeling, selective temporal median filter and local binary patterns. Based on the literature review, a problem statement has been examined and investigated. Basic methods and their limitations were also analyzed. Software application, that was developed to implement segmentation method and test results shows that method increases an objects of interest segmentation quality and also has an improved segmentation efficiency by minimizing an impacts of illumination and micromovements in an area of interest.