Topic: speed-estimation Goto Github
Some thing interesting about speed-estimation
Some thing interesting about speed-estimation
speed-estimation,This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
User: bamwani
speed-estimation,Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.
User: bamwani
speed-estimation,A script to track objects and estimate their speed in videos
User: carlobrok
speed-estimation,Traffic analysis using YOLOv4 and OpenCV
User: derinsu1
speed-estimation,Spice up your longboard riding with the power of rainbows. The rainbow effect's speed is proportional to the boards speed giving a mesmerizing effect.
User: douglashalse
speed-estimation,A Tiny repo for solving the Vehicle Speed Estimation (car) problem based on Track 1 - AICity Challenge 2018
User: ewigspace1910
speed-estimation,Vehicles speed detection and estimated speed tracking using Python with OpenCV and dlib libraries
User: gulfamwafaa
speed-estimation,Exploratory project into Vehicle Detection
User: ishitaagl20
speed-estimation,Vehicle detection and tracking and speed estimation using opencv
User: lcosicnus
speed-estimation,This repository contains everything to reproduce the gait speed sensor created in the LIARA Lab
Organization: liaralab
speed-estimation,This is an end-to-end traffic violation detection system in real time
User: mohamedhamdy28
Home Page: https://www.youtube.com/watch?v=Q4QLGIo8jLs
speed-estimation,YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
User: muhammadmoinfaisal
speed-estimation,Speed Estimate
User: nhatanh174
speed-estimation,A Self-Calibrating End-to-End Pipeline for Real-Time Speed Estimation for Traffic Monitoring
Organization: porscheofficial
speed-estimation,Speed estimation from a dash camera's feed using optical flow and CNN on Keras
User: satyamgaba
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 followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.
User: shreyapamecha
speed-estimation,University of Bristol MEng Computer Science Dissertation and Code for 'Predicting Ego-Vehicle Speed from Monocular Dash-Cam Video in Diverse Conditions'.
User: ssutherlanddeebristol
speed-estimation,Tracking, counting and speed estimation using yolo8
User: trinhtuanvubk
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