Visual surveillance system based on spatio-temporal model of moving objects in industrial workroom environments
Cina Motamed, Alain Schmitt · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
Development of 'intelligent' safety systems using computer vision is discussed. Robots usually carry out the same movements at each work cycle. In this situation we can modelize at each sequence the robots' position. The spatio-temporal model of the robotic scene's behavior obtained by learning accelerates the comprehension of the observed image. The synchronized model is compared with the real scene at each sequence. The prediction of future movements of moving objects obtained with our model facilitates the 'region of interest' generation in the studied scene and, in the same way, helps decisions of the safety device. The adaptation of the surveillance task to the changes of illumination reduces false alarms.