Vehicle speed estimation using YOLOv9 for object detection and DeepSORT for tracking
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Updated
May 23, 2024 - Python
Vehicle speed estimation using YOLOv9 for object detection and DeepSORT for tracking
A Self-Calibrating End-to-End Pipeline for Real-Time Speed Estimation for Traffic Monitoring
Traffic Signal Controll by Tracking, counting and speed estimation of vehicles on surveillance cameras using YOLO v9 and Reinforcement Learning
This is an end-to-end traffic violation detection system in real time
Vehicle detection, tracking, counting, and speed estimation | project for the Vision & Cognitive System course (CompSci @ UniPd) | w/ Shakiba Farjood Fashalami
Vehicles speed detection and estimated speed tracking using Python with OpenCV and dlib libraries
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.
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.
Exploratory project into Vehicle Detection
Tracking, counting and speed estimation using yolo8
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
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 Tiny repo for solving the Vehicle Speed Estimation (car) problem based on Track 1 - AICity Challenge 2018
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
Estimate vehicle speed on a field with known distance
Traffic analysis using YOLOv4 and OpenCV
Speed Estimate
Speed estimation from a dash camera's feed using optical flow and CNN on Keras
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