mohamedamine99/Object-tracking-and-counting-using-YOLOV8
This repository contains the code for an object detection, tracking and counting project using the YOLOv8 object detection algorithm and the SORT (Simple Online and Realtime Tracking) algorithm for object tracking. The project has been implemented using object-oriented programming principles in Python.
This project helps operations managers, security personnel, or urban planners automatically detect, track, and count specific objects in real-time video feeds or images. You provide video footage or image files, and it outputs a count of the objects you're interested in, such as people, vehicles, or animals, as well as their movement paths. This helps users monitor activity, analyze traffic flow, or enhance surveillance.
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Use this if you need to automatically count and track moving objects within video streams or images, for applications like traffic analysis, crowd monitoring, or inventory management.
Not ideal if you require highly precise object identification in extremely dense or blurry environments, or if your application demands real-time processing on very limited hardware without a dedicated GPU.
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Jul 11, 2023
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