vehicle-tracking

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Vehicle Detection, Tracking and Counting

OpenCV implementation of lane and vehicle tracking

OpenCV 3 & Keras implementation of vehicle tracking with video data.

Vehicle detection, tracking and counting by blob detection with OpenCV on c++.

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).

According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.

Realtime transit tracker of Pittsburgh's Port Authority buses using the realtime PAT API using Google Maps to Display the Maps

Detect and track vehicles in video

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

Automatic detection and tracking of moving vehicles in a video from a surveillance camera

Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | Google colab

vehicle-classification , vehicle-detection , vehicle-counting

Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)

Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.

Bus Timetable app React Native

Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.

Modified TensorFlow Object Detection Model for vehicle detection and tracking

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

Vehicle detection and tracking and speed estimation using opencv

Implementation of a few prevelant computer vision techniques using Python

Automate traffic counting with a Raspberry Pi and Computer Vision

Vehicle counting using Pytorch

Vehicle detection and tracking using linear SVM classifier

Vehicle Tracking Full Project Using C#,ASP.net,Javascript etc