Trajectory Classification

Trajectory classification focuses on automatically categorizing movement patterns from tracked data, aiming to understand and predict behavior across diverse domains. Current research emphasizes robust representation learning, often employing deep learning architectures like convolutional neural networks (CNNs) to process trajectory images or graph-based models to incorporate contextual information and handle multi-agent interactions. These advancements improve accuracy and generalization in applications ranging from human mobility analysis and traffic prediction to sports analytics and security systems, offering valuable insights into complex spatiotemporal dynamics.