A real-time web-based dashboard for multi-object tracking and classification using YOLOv8 for object detection and SORT (Simple Online and Realtime Tracking) for tracking.

This project benchmarks three Multi-Object Tracking (MOT) algorithms — SORT, DeepSORT, and OCSORT — using YOLOv11m for object detection on CCTV footage. The goal is to explore tracker behavior, ...

Computer vision has progressed much over the past decade and made its way into all sorts of relevant applications, both in academia and in our daily lives. There are, however, some tasks in this field ...

Abstract: Multi-object tracking (MOT) plays a pivotal role in the field of autonomous driving, where the objective is to track multiple objects across consecutive video frames while maintaining their ...