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

A collection of all projects pertaining to different layers in the SDC software stack

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…

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

Detecting Cars in real time and identifying the speed of cars and tracking

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

detect the no of people every second entering building gate. #person-detection

ODAM - Object detection and Monitoring

Modified TensorFlow Object Detection Model for vehicle detection and tracking

Detecting Cars in real time and identifying the speed of cars and tracking

Zero-VIRUS: Zero-shot VehIcle Route Understanding System for Intelligent Transportation (CVPR 2020 AI City Challenge Track 1)

A deep learning and computer vision based warning indicator system for the vehicle drivers using live dash-cam footage.

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

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

Vehicle detection, tracking, counting and speed prediction on videos with OpenCV.

Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5

Video/Image processing project using Blob Detection.

Proyecto de control de trafico e intercepción de semáforos inteligentes.

Semi-automatic detection, tracking and labelling of active targets for autonomous driving.