Real-Time Object Detection

Real-time object detection is a task in the field of computer vision that aims to accurately identify and locate objects of interest in video sequences through rapid inference. This task combines object detection and tracking techniques, utilizing methods such as feature extraction, object proposal generation, and classification to ensure basic accuracy during real-time processing. It is widely applied in scenarios such as security surveillance, autonomous driving, and intelligent interaction.