Multi-camera based human localization for room utilization monitoring system

Room utilization monitoring system is an interesting application towards optimized facility usage. Due to its cost effectiveness and robustness, a camera-based system for room utilization is focused. This paper presents a multiple camera based process for room utilization monitoring system. The system is composed with three parts of processes that are single-camera processing, multi-camera processing and room event detection. In single camera processing, we have presented the object detection and tracking and transform the detected position on the image to the room map using Homography. The results of single camera processing are the location on the room map of detected object which are the input for multiple camera data fusion. We have purposed three different methods on multiple camera data fusion that are Uniform Bias Weighting, Best Camera Selection and Error Bias Weighting. And then we use the best detected object location on the map for room event detection. The experiment verified the performance of the different data fusion method on multiple cameras and showed that Error Bias weighting provide the best result.