GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → dirtmaxim → OpenMultiTracker

dirtmaxim / OpenMultiTracker

Licence: GPL-3.0 license
Tracker that uses computer vision methods to track players on the hockey field

Programming Languages

C++
36643 projects - #6 most used programming language
CMake
9771 projects
c
50402 projects - #5 most used programming language

Labels

computer-visionobject-trackingmulti-trackerdetect-players

Projects that are alternatives of or similar to OpenMultiTracker

OpenCV-Object-Tracking
Object Tracking Using OpenCV and Python Plus Comparing different Trackers
Stars: ✭ 32 (+77.78%)
Mutual labels:  object-tracking
chainer-sort
Simple, Online, Realtime Tracking of Multiple Objects (SORT) implementation for Chainer and ChainerCV.
Stars: ✭ 20 (+11.11%)
Mutual labels:  object-tracking
survey-computer-vision-2021
2021年计算机视觉技术综述分类汇总
Stars: ✭ 54 (+200%)
Mutual labels:  object-tracking
VBT-Barbell-Tracker
A proof of concept app to optically track a barbell through its range of motion using OpenCV to give the lifter realtime feedback on concentric avg velocity, cutoff velocity, and displacement for a Velocity Based Training program.
Stars: ✭ 53 (+194.44%)
Mutual labels:  object-tracking
SiamFusion
No description or website provided.
Stars: ✭ 26 (+44.44%)
Mutual labels:  object-tracking
UniTrack
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
Stars: ✭ 293 (+1527.78%)
Mutual labels:  object-tracking
PeekingDuck
A modular framework built to simplify Computer Vision inference workloads.
Stars: ✭ 143 (+694.44%)
Mutual labels:  object-tracking
zero-shot-object-tracking
Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
Stars: ✭ 242 (+1244.44%)
Mutual labels:  object-tracking
ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Stars: ✭ 1,102 (+6022.22%)
Mutual labels:  object-tracking
pytorch-detect-to-track
A pytorch implementation of Detect and Track (https://arxiv.org/abs/1710.03958)
Stars: ✭ 114 (+533.33%)
Mutual labels:  object-tracking
OpenCV
Computer Vision programs like Motion Detection, Color Tracking, Motion Rcording, Optical Flow and Object Tracking using Python with OpenCV library
Stars: ✭ 21 (+16.67%)
Mutual labels:  object-tracking
Prediction-using-Bayesian-Neural-Network
Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.
Stars: ✭ 28 (+55.56%)
Mutual labels:  object-tracking
objtrack
实现常用的目标跟踪算法
Stars: ✭ 22 (+22.22%)
Mutual labels:  object-tracking
Keras-LSTM-Trajectory-Prediction
A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting
Stars: ✭ 88 (+388.89%)
Mutual labels:  object-tracking
d3d
Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch
Stars: ✭ 27 (+50%)
Mutual labels:  object-tracking
Homography-Based-MOTDT
MOTDT with Homography Matrix for Multi-Object Tracking
Stars: ✭ 21 (+16.67%)
Mutual labels:  object-tracking
USOT
[ICCV2021] Learning to Track Objects from Unlabeled Videos
Stars: ✭ 52 (+188.89%)
Mutual labels:  object-tracking
ObjectTracking
Object Detection and Tracking based on C++ and OpenCV
Stars: ✭ 23 (+27.78%)
Mutual labels:  object-tracking
mosse-object-tracking
This is the implementation of MOSSE tracking algorithm (correlation filter based).
Stars: ✭ 89 (+394.44%)
Mutual labels:  object-tracking
rpi-urban-mobility-tracker
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
Stars: ✭ 75 (+316.67%)
Mutual labels:  object-tracking
View All Similar Projects ➔

OpenMultiTracker

It uses computer vision methods to detect players on the hockey field.

Requirements:
- C++11 compiler;
- OpenCV3 built with ffmpeg support.

How to use:
- Video should have "hockey_game.avi" name, you can change it in code;
- At the first start, you have to choose region of interest. It will be saved as "region.png" and only
white area will be applied to the video.

Commands:
    r - change region of interest
    b - show background subtraction process
    c - show contoured image
    o - show original video
    s - show system information
    p - pause video
    ESC or SPACE - terminate video
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].