Scalable and Adaptive Video Analysis System for Multiple Video Streams

We propose an efficient scalable and adaptive video analysis system for multiple video streams. Our scalable video analysis solution handles large amounts of video analysis efficiently, and the adaptive video analysis approach ensures high performance and reliability while responding to specific requirements and conditions in various application fields. To achieve these goals, we adopt a unified, lightweight, and scalable object detection and feature embedding networks and develop a video analysis system architecture to analyze multiple video streams. The experimental results show that the proposed networks achieve competitive accuracy and the system enables online video analysis for 16 cameras.