Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
翻译 - 多对象跟踪器，基于匈牙利算法+卡尔曼滤波器。
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.
(Kuhn-Munkres) numpy implementation, rectangular matrix is supported (|X| <= |Y|). 100x100000 in 0.153 s.
The Hungarian(Kuhn-Munkres) algorithm for Julia
A C++ demo for Hungarian algorithm (Kuhn-Munkres algorithm).
#计算机科学#Contains implementation of multi-threaded object detection followed by tracking
A Java implementation of the Kuhn–Munkres assignment algorithm (Hungarian Algorithm)
#计算机科学#combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems
This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki
Deep-learning-based implementation of the popular Hungarian algorithm that helps solve the assignment problem.
A simple particle tracking algorithm for MATLAB that can deal with gaps.
An implementation of the Hungarian Algorithm in C++
A human detection, tracking and counting system built using deep learning based computer vision.
Fruit yield estimation system using UAV