YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.

Real-time multi-object detection, tracking, and counting using YOLOv8 and DeepSORT

Vehicles Detection, Tracking and Counting using YOLOv8 and DeepSort

Real-time object tracking and counting system using YOLOv8 for detection and DeepSORT for online tracking.

The Smart Traffic Control System utilizes YOLOv8 object detection and DeepSORT object tracking algorithms to manage urban traffic efficiently. Simulated on the Pygame platform, it optimizes signal timing and intersection control, reducing congestion and enhancing safety on the roads

"YOLOv8-DeepSORT: Advanced Object Detection and Tracking System"

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A traffic violation detection system based on YOLOv8 object detection and DeepSORT object tracking techniques.

Image acquisition through Ethenet Camera and Object Detection and Tracking using YOLOv8 and DeepSORT algorithms.

Real-time pedestrian tracking using YOLOv8 for detection and DeepSORT for multi-object tracking on the MOT17 dataset.

Real-time object detection and multi-object tracking using YOLOv8 and DeepSORT. Includes edge optimization with TensorFlow Lite, deployment ready with Docker containerization.

This repository contains a project that integrates YOLOv8 with DeepSORT for object tracking and speed estimation. The aim is to perform object detection, tracking, and speed estimation of moving objects in videos.

Develop a deep learning pipeline for real-time 3D object detection and tracking in autonomous driving scenarios using YOLOv8 and LiDAR Point Cloud Processing (DeepSORT) to enhance pedestrian and vehicle detection accuracy.

The YOLOv8 model is used for real-time object detection in car image detection, identifying cars on images and videos. It includes preprocessing, object detection, object tracking with DeepSORT, and vehicle counting. This technology could increase traffic efficiency and improve safety measures.

This project showcases an object tracking system that employs YOLOv8 for detection and integrates a Kalman filter for tracking, thereby implementing the DeepSORT algorithm. It is designed to identify and follow objects within a video stream.

This project implements a robust person detection and tracking system using YOLOv8 for object detection and DeepSORT for multi-object tracking. The system processes video files, detects people, and tracks their movements across frames, assigning unique IDs to each tracked individual. This project is designed to run in a Google Colab environment.

This project is a real-time vehicle detection and tracking system using hybrid object detectors (YOLOv8 and Faster R-CNN) and DeepSORT for multi-object tracking. It processes video input, overlays bounding boxes and IDs, and logs vehicle count statistics. Designed for research and practical use in traffic analysis and smart surveillance.

Hybrid Decision Engine for real-time threat detection. Combines YOLOv8/ONNX object detection, DeepSort tracking, and 5-level state management (NORMAL→CRITICAL). Features temporal analysis, Bayesian fusion, and MCDM scoring. Production-ready with 1000+ FPS performance, comprehensive testing, and seamless integration for smart security systems.

An AI-powered footfall counter that uses YOLOv8 for object detection and DeepSORT for real-time tracking. It counts entries and exits of people across a defined line in video footage - perfect for analytics in malls, offices, and public spaces.

This project leverages YOLOv8 for object detection and DeepSORT for object tracking, enabling real-time identification and movement monitoring of objects in a video stream.

Object Detection & Tracking with YOLOv8 and DeepSORT

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Object Detection using yoloV8 and tracking using deepSORT

Object detection using yolov8 and tracking through deepsort

Multi-object detection and tracking using YOLOv8 and DeepSORT

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Real-time object detection and tracking using YOLOv8 and DeepSORT)

Object tracking CCTV footage using YOLOv8 for object detection and DeepSORT for tracking.

yolov8目标跟踪与行人车辆计数+YOLOv8 Object Detection with DeepSORT Tracking(ID + Trails)