Traffic Video

Traffic video analysis leverages computer vision and machine learning to extract meaningful information from recordings of road traffic, aiming to improve traffic management, safety, and efficiency. Current research focuses on developing robust object detection and tracking algorithms (e.g., YOLO, SORT) for vehicles and pedestrians, often incorporating spatio-temporal information and handling challenges like occlusions and micromobility vehicles. These advancements enable applications such as real-time traffic monitoring, anomaly detection, accident prediction, and automated traffic violation detection, ultimately contributing to safer and more efficient transportation systems.