Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Library for tracking-by-detection multi object tracking implemented in python

(Kuhn-Munkres) numpy implementation, rectangular matrix is supported (|X| <= |Y|). 100x100000 in 0.153 s.

Deep-learning-based implementation of the popular Hungarian algorithm that helps solve the assignment problem.

A human detection, tracking and counting system built using deep learning based computer vision.

A python program to solve assignment problem by the Kuhn–Munkres algorithm (The Hungarian Method).

Desktop app for detecting highway lane violations. Illegal parking, Wrong direction, Illegal over taking can be detected

A comprehensive solution for detecting and tracking vehicle trajectories using YOLO, Kalman Filter, and the Hungarian Algorithm. Includes a Flask web application for easy video upload and processing.

Implement the Kalman filter and establish a pipeline for pedestrian detection and tracking using YOLOv5 and the Hungarian algorithm

The 2022 Gamma Team Integrated Swarm System Demo Repository

Using multiple cameras to estimate the people's position. Works with OpenVINO toolkit.

Python implementation of an approximate Euclidean bipartite matching algorithm proposed by a 2004 paper "A Near-Linear Constant-Factor Approximation for Euclidean Bipartite Matching?" by Pankaj Agarwal and Kasturi Varadarajan.

An object tracker for realtime multiple objects tracking

Multiple Object Tracking (MOT) with Region of Interest (ROI) Selection

An Efficient GPU-Accelerated Batched Hungarian Algorithm for DETR

Лаб. работа по вычислительным методам.

Experimental project solving Travelling Salesman Problem via genetic algorithm, hungarian method, etc. University project for class Operations Research.

Венгерский алгоритм с графическим интерфейсом на Python

This repository contains Python codes for Operations Research. It includes implementations of the Hungarian Algorithm and the Revised Simplex Method. The codes can be used for solving optimization problems.

Implementing a Python-based project using computer vision to analyse a wooden beer bottle cap display (shaped like Germany), aiming to correlate bottle caps with their geographic references by minimizing spatial distances between map holes and physical locations.