Vehicle detection, tracking and counting by blob detection with OpenCV on c++.
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Updated
Sep 16, 2017 - C++
Vehicle detection, tracking and counting by blob detection with OpenCV on c++.
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
Video/Image processing project using Blob Detection.
Analysis of vehicle location data
Proyecto de control de trafico e intercepción de semáforos inteligentes.
Vehicle detection, tracking, counting and speed prediction on videos with OpenCV.
Расчет сечений проводов и кабелей по нагрузке для Морского и Речного Регистров
R scripts to process data from TRAFx vehicle counters
OpenCv based live vechicle counting system written in C.
Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.
YoLo is a CNN architecture which specialize in object detection. I am using tutorial from https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/ to develop my own modification. This project aims to count every vehicle(motorcycle, bus, car, cycle, truck) detected in the input image/video.
EC463 Senior Design Miniproject: Raspberry Pi video processing
Vehicle Detection, Tracking and Counting
detect the no of people every second entering building gate. #person-detection
实时车辆行人交通流计数Real-time Vehicle and Pedestrian Counting (CenterNet)
This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.
According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.
Motion detection using background subtraction. Implement 3 background subtraction methods: frame differencing, mean filter, mixed of gaussian
Zero-VIRUS: Zero-shot VehIcle Route Understanding System for Intelligent Transportation (CVPR 2020 AI City Challenge Track 1)
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