Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

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

3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

A fast object tracking method by using JPDA-IMM-UKF.

Benchmarking Linear Assignment Problem Solvers

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

The Hungarian(Kuhn-Munkres) algorithm for Julia

Contains implementation of multi-threaded object detection followed by tracking

A Java implementation of the Kuhn–Munkres assignment algorithm (Hungarian Algorithm)

A C++ demo for Hungarian algorithm (Kuhn-Munkres algorithm).

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

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

This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki

A simple particle tracking algorithm for MATLAB that can deal with gaps.

An implementation of the Hungarian Algorithm in C++

Generic implementation of Kuhn-Munkres (Hungarian) Algorithm in C++

A Go implementation of the Hungarian algorithm

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