Vehicle tracking method based on multiple cameras

• Main Authors: WANG YAOWEI, JI WEN, BAI XINBEI
• Format: Patent
• Language: Chinese; English
• Published: 01.06.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention discloses a vehicle tracking method based on multiple cameras. The method comprises the steps: obtaining a road structure and traffic attributes, camera installation parameters, historical traffic flow data and geographic information data, and constructing a camera network time-space topological relation; obtaining a target vehicle, and tracking the target vehicle in a single camera; when the target vehicle disappears from the single camera, according to the relative movement type between the target vehicle and the single camera, the vehicle driving direction and the time information, searching the adjacent nodes of the single camera meeting the constraint condition in the camera network spatio-temporal topological relation as a candidate node set; according to the method, the target vehicle license plate, the target vehicle portrait and the deep learning features are obtained, the license plate, the vehicle portrait and the deep learning features of the vehicle set obtained by the candidate nod