Vehicle counting and tracking at intersection modules and ReID pipeline with object detection - > image cropping -> object in cropped image re-identification in another image

Vehicle Tracking and Counting using Yolo and ByteTrack

🚗 DinjanAI's Vehicle In/Out Detection & Count Project utilizes AI, ML, and DL to accurately track and count vehicles entering and exiting designated areas in real-time. Ideal for parking lots, intersections, and toll booths, it offers seamless integration and customizable configurations. 🛣️👀

Vehicle detection, tracking, counting, and speed estimation | project for the Vision & Cognitive System course (CompSci @ UniPd) | w/ Shakiba Farjood Fashalami

Building a small demo system to detect and count vehicle using Streamlit framework

List of Computer Vision and NLP Project

Vehicle Detection Using Deep Learning and YOLO Algorithm

This repository contains the code for an IoT Traffic Surveillance System using a fog-computing architecture. The system uses an adaptive video encoding algorithm that switches the video encoding at specific intervals to reduce the required network bandwidth.

ODAM - Object detection and Monitoring

YOLOv8 Object Tracking and Counting using PyTorch, OpenCV and DeepSORT, deployed on Streamlit.

Advanced Vehicle Tracking and Detection System using ByteTrack, Supervision, and YOLO Algorithms

A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorithm to perform object recognition and tracking realtime.

Vehicle counting using Pytorch

algorithms implementation for extremely overlapping vehicle counting in traffic congestion situations

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

Image processing project in MatLab that counts the vehicles moving on the road by distinguishing between big and small.

🚘 FCN-rLSTM 모델 대규모 교통 데이터셋 WebCamT 학습

Vehicle counting by density map regression

Undergraduate project: automated vehicle counting

Vehicle Control Algorithm with YOLO V4