A Comprehensive Solution to Computer Vision Based Group Supervisory Control

A paper presented at ELEVON ’92 entitled ‘A Computer Vision Based Group Supervisory Control System’ suggested that the application of computer vision improve both the quantity and quality of service of conventional group supervisory control systems. However, such fuzzy logic based primitive design limited the positioning of the cameras due to the nature of the image interpretation algorithm. For economic reasons, it has been suggested that security cameras installed at the corners of lift lobbies should be used. Therefore, two new methods, based on ‘Algebraic Reconstruction Technique’ and ‘Depth From Motion’, have been developed and presented in this paper, that can upgrade the capability of the existing system to estimate the number of passengers in the lobbies more accurately.