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

Python re-implementation of some correlation filter based tracker

In this repository I will give some implementation of single and multiple object tracking algorithms. These include meanShift, CamShift, Boosting, MIL, KCF, TLD , GoTurn, and MedianFlow. Additionally I will show you how to grab frames at a very high FPS from camera and videos.

OpenCV 3 & Keras implementation of vehicle tracking with video data.

Python implementation of DSST tracking algorithm based on KCF tracker.

Python版OpenCVのTracking APIの比較サンプル

Visual Object Tracking algorithms. Hold on! There is a lot to come

KCFcpp的Visual Studio2015版本

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

Object trackers you deserve!

OpenTLD with KCF tracker

An official implementation of the MAF_HDA Tracker

Python implementation of KCF tracking algorithm with Convolutional Networks in Theano and Caffe

A collection of trackers' code for Visual Tracker Benchmark (OTB).

YOLOv3-TensorRT-INT8-KCF is a TensorRT Int8-Quantization implementation of YOLOv3 (and YOLOv3-tiny) on NVIDIA Jetson Xavier NX Board. The dataset we provide is a red ball. So we also use this to drive a car to catch the red ball, along with KCF, a traditional Object Tracking method.

source code for a Multiple Object Tracking Algorithm

detect face using MTCNN and tracking face with KCF/Kalman Filter. The assignment problem solved by Hungarian.

Compare Compressive Tracker and KCF Tracker

In this repository track the object what is speed of object.

Tracks the wide receiver from a single shot video clip, where the offensive team is to left