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The proposed architecture of our approach is described in this figure in detail. The main idea of our method is that, first of all, the frames collected from CCTV cameras must be put in a frame queue for frame processing. After that, the system selects the frame following the priority of cameras to detect objects and extract information. The other frames in the queue will be combined and stored in the video storage. Using parallel processing with the YOLO object detect algorithm, we extract the information of the detected objects (bounding box, properties) and store them in a JSON file obeying a specific schema. In the architecture, we use FFmpeg and Vidgear open-source libraries for real-time processing video. |
IEEE/ICACT20230170 Slide.07
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