LaMMOn: An End-to-End Multi-Camera Tracking Solution Leveraging Transformers and Graph Neural Networks for Enhanced Real-Time Traffic Management

Researchers from the University of Tennessee at Chattanooga and Leibniz University Hannover developed LaMMOn, a multi-camera tracking model using transformers and graph neural networks. LaMMOn integrates modules for object detection, tracking, trajectory clustering, and generating object embeddings from text. It addresses Show more