This project implements multi-person tracking by combining YOLOv3 object detection with deep_sort tracking algorithms. YOLOv3 provides frame-by-frame object detection while deep_sort uses deep metric learning to maintain consistent identity assignments across frames. The system supports real-time multi-person tracking for pedestrians and other COCO classes, with optional camera input for testing.