Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
This app detects types of cars and counts cars using YOLOv3
Iranian Vehicle Tracking and Recognition + License Plate Recognition Using Yolov5, OSNet
This program detects vehicles that are not moving
A simple night time vehicle tracking algorithm via headlight
A custom integration for Home Assistant to monitor leased vehicles and calculate remaining mileage.
car tracking using compuer vision techniques
π Drivarc - Vehicle management mobile app landing page. Multi-language (29 langs) responsive website with i18n, PWA support & modern web standards.
Real-time multi-object car tracking system using YOLOv8 for vehicle detection and ByteTrack for robust ID-consistent tracking with optimized performance metrics.
Car and pedestrian detection on videos (openCV)
Car and pedestrian tracker. Simple example using OpenCV
Real-time vehicle detection and counting in traffic videos using OpenCV. Tracks cars across multiple lanes, detects anomalous vehicles, and visualizes results with bounding boxes and overlays.
A self-hosted GPS track manager REST API built with FastAPI and PostgreSQL/PostGIS.
Ego and Target Car Tracking with LiDAR Measurements Using Kalman Filter
A real-time car tracking web application built with Flutter.
This repository contains a car detection and tracking software implemented using YOLOv8 for object recognition and classification, along with DeepSORT for tracking. The program is capable of detecting cars, buses, trucks, and trains in real-time video streams. The model combines state-of-the-art object detection and tracking techniques.
Tracks vehicle details like model, registration number as well as insurance and next inspection date. Notifies you when one of the insurances expires or when inspection is coming up.
π Count vehicles in videos using a YOLOv8-based program for efficient traffic monitoring and real-time vehicle tracking.
To associate your repository with the car-tracking topic, visit your repo's landing page and select "manage topics."