Illegal Entrant Detection at a Restricted Area in Open Spaces Using Color Features

Developing an automatic and intelligent system to detect, track, recognize, and analyze moving objects could save human power in monitoring centers. In this study, the color features of an employee´s uniform were extracted to identify the entrance legality in a restricted area of an open space. The body of an entrant was segmented into three parts for locating the region of interest (ROI) using a watershed transform. Dominant color features extracted from the ROI were classified for preventing the illegal entrance. Some experiments were conducted to show the feasibility and validity of the proposed system