This repository implements a real-time object detection and tracking system using YOLOv8 for detection and SORT for tracking. It processes video input, assigns unique IDs to detected objects, and displays bounding boxes and IDs in real time.
From the README
Object Detection and Tracking This project implements a real-time object detection and tracking system using a pre-trained YOLOv8 model for object detection and the SORT (Simple Online and Realtime Tracking) algorithm for tracking detected objects across video frames. The system assigns a unique ID to each object and tracks it consistently in real time. --- Features • Real-time video input using a webcam or video file • Object detection using YOLOv8 (pre-trained model) • Object tracking using SORT algorithm • Unique tracking ID assigned to each detected object • Bounding boxes and IDs displayed in real time • Lightweight and fast execution --- Technologies Used • Python • OpenCV •...
Skills
- Python
