YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
-
Updated
Mar 4, 2023 - Jupyter Notebook
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followe…
A Self-Calibrating End-to-End Pipeline for Real-Time Speed Estimation for Traffic Monitoring
Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.
Vehicle detection and tracking and speed estimation using opencv
Traffic analysis using YOLOv4 and OpenCV
Tracking, counting and speed estimation using yolo8
Vehicle speed estimation using YOLOv9 for object detection and DeepSORT for tracking
Speed estimation from a dash camera's feed using optical flow and CNN on Keras
University of Bristol MEng Computer Science Dissertation and Code for 'Predicting Ego-Vehicle Speed from Monocular Dash-Cam Video in Diverse Conditions'.
Speed Estimate
A Tiny repo for solving the Vehicle Speed Estimation (car) problem based on Track 1 - AICity Challenge 2018
A script to track objects and estimate their speed in videos
This is an end-to-end traffic violation detection system in real time
Vehicles speed detection and estimated speed tracking using Python with OpenCV and dlib libraries
This repository contains everything to reproduce the gait speed sensor created in the LIARA Lab
This GitHub repository features an efficient project for Automatic License Plate Detection (ALPR) and Speed Estimation. Utilizing YOLOv8, SORT, and EasyOCR, the project achieves accurate results in real-time.
Add a description, image, and links to the speed-estimation topic page so that developers can more easily learn about it.
To associate your repository with the speed-estimation topic, visit your repo's landing page and select "manage topics."