A robust and real-time multi-space occupancy extraction system exploiting privacy-preserving sensors

A novel, real-time and robust occupancy extraction system is going to be presented in this paper. The main contribution of the paper is to introduce a novel camera calibration algorithm to a multi-space area. The proposed calibration method is accurate, efficient and free of any error propagation among cameras' calibrations, without usage of overlapping areas. Also, the paper introduces a new virtual camera incorporated to the detection algorithm handling occupants' partial occlusion. The system is real time and utilizes only privacy-preserving sensors. The experimental results will illustrate the robustness and the efficiency of the system.