This project implements a people detection and tracking pipeline using YOLOv4 for object detection and Deep SORT for multi-object tracking. It runs inference on video streams with optional asynchronous processing to improve frame rates. The implementation includes a track filtering algorithm based on detection confidence to reduce false positives in tracking.