City-Scale Multi-Camera Vehicle Tracking of Vehicles based on YOLOv7

Multi-Target Multi-Camera Tracking has a massive Intelligent Traffic Surveillance System application domain. In this paper, we introduce the framework using YOLOv7, DeepSORT, and Re-ID to provide the identification of vehicles via a camera network. At first, we localize a vehicle in every single camera. Then, the Re-ID obtains the unique feature of each bounding box we crop from detection. We use DeepSORT and Trajectory Clustering from the list of features to keep the vehicle's identity from a single camera to a multi-camera. The experiment result shows the promise of the framework in the extensive system.