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

Practical Solutions for Multi-Camera Tracking in Intelligent Transportation Systems Enhancing Traffic Management with LaMMOn Efficient traffic management has been revolutionized by computer vision advancements, enabling precise prediction and analysis of traffic volumes. LaMMOn, an advanced multi-camera tracking model, tackles challenges in multi-target multi-camera tracking (MTMCT) by using transformers and graph neural networks. Key Modules of LaMMOn LaMMOn incorporates three key modules: Language Model Detection (LMD) for object detection, Language and Graph Model Association (LGMA) for tracking and trajectory clustering, and Text-to-embedding (T2E) module for generating object embeddings from text to overcome data limitations. Performance and Effectiveness LaMMOn delivers exceptional performance across various datasets, achieving competitive results and real-time processing speeds. It eliminates the need for new matching rules and manual labeling by utilizing synthesized embeddings from text, offering practical solutions for multi-camera tracking challenges. AI Solutions for Business Transformation Discover how AI can transform your work and sales processes. Identify automation opportunities, define KPIs, select AI solutions, and implement gradually to stay competitive and evolve your company with AI. Connect with Us For AI KPI management advice or continuous insights into leveraging AI, connect with us at hello@itinai.com or stay tuned on our Telegram t.me/itinainews or Twitter @itinaicom.