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python implementation of efficient convolution operators for tracking https://github.com/StrangerZhang/pyECO

Fully-Convolutional Siamese Networks for Object Tracking https://github.com/rafellerc/Pytorch-SiamFC https://github.com/bertinetto/siamese-fc

dlib多目标追踪 https://www.pyimagesearch.com/2018/10/29/multi-object-tracking-with-dlib/

MOT tracking using deepsort yolo3 with PyTorch https://github.com/ZQPei/deep_sort_pytorch

Real-time 'Actor-Critic' tracking https://github.com/bychen515/ACT

Deep Regression Tracking with Shrinkage Loss https://github.com/chaoma99/DSLT

Official implementation of our AAAI2020 paper: GlobalTrack: A Simple and Strong Baseline for Long-term Tracking. https://github.com/huanglianghua/GlobalTrack

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction https://github.com/huang-xx/STGAT

Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Tensorflow based. https://github.com/JunweiLiang/Object_Detection_Tracking

MAST: A Memory-Augmented Self-supervised Tracker https://github.com/zlai0/MAST

###【如何做图:可视化例子集】’VisualTracking-Toolkit - Powerful visualization tool (still under development)' https://github.com/foolwood/VisualTracking-Toolkit

This is the official implementation with training code for 'GradNet: Gradient-Guided Network for Visual Object Tracking' (ICCV2019 Oral) https://github.com/LPXTT/GradNet-Tensorflow

Discriminative and Robust Online Learning for Siamese Visual Tracking [AAAI2020] https://arxiv.org/abs/1909.02959 https://github.com/shallowtoil/DROL

SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking(AAAI2020) https://github.com/TrackerLB/SPSTracker

joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019) https://github.com/Liusifei/UVC

An re-implementation for Siamese-RPN with Tensorflow https://github.com/makalo/Siamese-RPN-tensorflow

Self-supervised Learning for Video Correspondence Flow https://github.com/zlai0/CorrFlow

[ICCV2019] Robust Multi-Modality Multi-Object Tracking https://github.com/ZwwWayne/mmMOT

Package for performing analysis on event-based feature trackers. https://github.com/uzh-rpg/rpg_feature_tracking_analysis

深度学习目标检测/多目标跟踪 https://github.com/adipandas/multi-object-tracker

TensorFlow.js 实现的实时目标追踪 https://github.com/cloud-annotations/object-tracking-js

Deep Learning for Visual Tracking: A Comprehensive Survey https://github.com/MMarvasti/Deep-Learning-for-Visual-Tracking-Survey

Learning the Model Update for Siamese Trackers (ICCV 2019)

https://github.com/zhanglichao/updatenet

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

https://github.com/foolwood/SiamMask

A clean PyTorch implementation of SiamFC tracker described in paper Fully-Convolutional Siamese Networks for Object Tracking.

https://github.com/huanglianghua/siamfc-pytorch

Keras实现的BiGAN相似地标图片检测

https://github.com/manicman1999/Keras-BiGAN

Visual Trackers for Single Object - 记录每天整理的视觉目标跟踪论文

https://github.com/czla/daily-paper-visual-tracking

Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor" https://arxiv.org/abs/1903.05625 https://github.com/phil-bergmann/tracking_wo_bnw

Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral) https://github.com/junsukchoe/ADL

Learning multi-domain convolutional neural networks for visual tracking https://github.com/shipubupt/NIPS2018

YOLOv3多目标跟踪 https://github.com/afunTW/pytorch-mot-tracking

A pytorch implementation of Detect and Track (https://arxiv.org/abs/1710.03958) https://github.com/Feynman27/pytorch-detect-to-track

用Python复现的相关滤波跟踪器 https://github.com/wwdguu/pyCFTrackers

Python/OpenCV实现的视频车辆计数 https://github.com/nicholaskajoh/Vehicle-Counting

Long-term Tracking in the Wild: A Benchmark https://github.com/oxuva/long-term-tracking-benchmark

Tools for evaluating and visualizing results for the Multi Object Tracking and Segmentation (MOTS) task https://github.com/VisualComputingInstitute/mots_tools

SiamFC PyTorch https://github.com/StrangerZhang/SiamFC-PyTorch

This is a PyTorch implementation of SiameseRPN. This project is mainly based on SiamFC-PyTorch and DaSiamRPN. For more details about siameseRPN please refer to the paper : High Performance Visual Tracking with Siamese Region Proposal Network by Bo Li, Junjie Yan,Wei Wu, Zheng Zhu, Xiaolin Hu. https://github.com/HelloRicky123/Siamese-RPN

Learning Correspondence from the Cycle-consistency of Time (CVPR 2019) https://github.com/xiaolonw/TimeCycle

This repository contains a Python reimplementation of the Unsupervised Deep Tracking https://github.com/594422814/UDT_pytorch

Deeper and Wider Siamese Networks for Real-Time Visual Tracking https://github.com/researchmm/SiamDW

基于PyTorch的单目标跟踪 https://github.com/STVIR/pysot

PyTorch implementation of GOTURN object tracker: Learning to Track at 100 FPS with Deep Regression Networks (ECCV 2016) https://github.com/amoudgl/pygoturn

多运动目标实时识别、跟踪与重建 https://github.com/martinruenz/maskfusion

PyTracking:基于PyTorch的视觉追踪框架 https://github.com/visionml/pytracking

TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)

https://github.com/VisualComputingInstitute/TrackR-CNN

SiameseX.PyTorch - A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamVGG, SiamDW, SiamRPN, SiamRPN-VGG

https://github.com/zllrunning/SiameseX.PyTorch

用DeepDetect对视频流进行实时检测的客户端

https://github.com/jolibrain/livedetect

Unsupervised Deep Tracking

https://github.com/594422814/UDT

【多用户追踪】’centerNet + deep sort with pytorch - multi-people tracking (centerNet based person detector + deep sort algorithm with pytorch)'

https://github.com/kimyoon-young/centerNet-deep-sort

Tensorflow implementation of "Self-Supervised Tracking via Video Colorization" https://github.com/hirokiyokoyama/tracking_via_colorizing

【YOLO & RCNN目标检测和多目标跟踪】'YOLO & RCNN Object Detection and Multi-Object Tracking'

https://github.com/yehengchen/Object-Detection-and-Tracking

《Tracking Objects as Points》 https://github.com/xingyizhou/CenterTrack

【PyTorch多目标跟踪库】’A Library of Multi-Object Tracking in Python and Pytorch'

https://github.com/nightmaredimple/libmot

OpenTPOD:无痛对象检测开放工具包,非专家可以用它来创建定制的深度神经网络对象检测器 https://github.com/cmusatyalab/OpenTPOD

Deep SORT and YOLO v4 for people tracking and detection with Tensorflow backend

https://github.com/LeonLok/Deep-SORT-YOLOv4

《TAO: A Large-Scale Benchmark for Tracking Any Object》 https://www.arxiv-vanity.com/papers/2005.10356/

'SiamTrackers - The PyTorch version of Siamese ,SiamFC,SiamRPN,DaSiamRPN,UpdateNet,SiamDW,SiamRPN++, SiamMask,and SiamFC++'

https://github.com/HonglinChu/SiamTrackers

长期视觉追踪资源集合】’Long-term Visual Tracking' https://github.com/wangdongdut/Long-term-Visual-Tracking

【MCMOT:单阶段实时多类别多目标跟踪】

https://github.com/CaptainEven/MCMOT

Online-Visual-Tracking-SOTA - ‘the state-of-the-art performance for the short-term tracking task https://github.com/wangdongdut/Online-Visual-Tracking-SOTA

Simultaneous object detection and tracking using center points. https://github.com/xingyizhou/CenterTrack

Siam R-CNN two-stage re-detector for visual object tracking https://github.com/VisualComputingInstitute/SiamR-CNN

A simple baseline for one-shot multi-object tracking https://github.com/ifzhang/FairMOT

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking (CVPR 2020, Oral) https://github.com/ohhhyeahhh/SiamCAR

Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" https://github.com/selflein/GraphNN-Multi-Object-Tracking

Siamese Box Adaptive Network for Visual Tracking https://github.com/hqucv/siamban

Official implementation of paper: TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model (CVPR 2020 oral) https://github.com/BoPang1996/TubeTK

The official implementation of FCOT using PyTorch. https://github.com/MCG-NJU/FCOT

Learning a Neural Solver for Multiple Object Tracking https://github.com/dvl-tum/mot_neural_solver

Comparision:基于基准任务的目标跟踪算法比较 https://github.com/JudasDie/Comparison

Official implementation in PyTorch of Chained-Tracker as described in Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking.

https://github.com/pjl1995/CTracker

Deep Motion Modeling Network https://github.com/shijieS/DMMN

多目标追踪论文/代码集 https://github.com/nightmaredimple/Multi-object-Tracking-paper-code-list

norfair:Python轻量实时2D目标追踪库 https://github.com/tryolabs/norfair

AcurusTrack:用于精确多目标跟踪的Python数据关联组件

https://github.com/AIHunters/AcurusTrack

YOLOv4, DeepSort, TensorFlow实现的目标追踪 https://github.com/theAIGuysCode/yolov4-deepsort

基于MediaPipe用TensorFlow.js实现虹膜跟踪 https://blog.tensorflow.org/2020/11/iris-landmark-tracking-in-browser-with-MediaPipe-and-TensorFlowJS.html

Bayesian Tracker (btrack):贝叶斯多目标追踪库 https://github.com/quantumjot/BayesianTracker

基于YOLOV4的人车检测追踪

https://github.com/CaptainEven/YOLOV4_MCMOT

mmtracking:OpenMMLab视觉感知统一框架,支持单目标跟踪、多目标跟踪、视频目标检测等 https://github.com/open-mmlab/mmtracking

TransTrack: Multiple-Object Tracking with Transformer https://arxiv.org/abs/2012.15460

Deep Motion Modeling Network https://github.com/shijieS/DMMN

sAP — Code for Towards Streaming Perception https://github.com/mtli/sAP

Lifted Disjoint Paths with Application in Multiple Object Tracking https://github.com/AndreaHor/LifT_Solver

[ECCV2020] Robust Tracking against Adversarial Attacks https://github.com/joshuajss/RTAA

Implementation of ‘Pose-Guided Tracking-by-Detection: Robust Multi-Person Pose Tracking’ [TMM 2020]

https://github.com/JDAI-CV/PGPT

Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction" https://github.com/Majiker/STAR

LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark (ACM MM2020) https://github.com/QiaoLiuHit/LSOTB-TIR

This repository is the official code implementation of the paper GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization. https://github.com/IPapakis/GCNNMatch

This repository is the official code implementation of the paper GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization. https://github.com/IPapakis/GCNNMatch

HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT). https://github.com/JonathonLuiten/HOTA-metrics

Multiple-Object Tracking with Transformer https://github.com/PeizeSun/TransTrack

Siamese Keypoint Prediction Network for Visual Object Tracking https://github.com/ZekuiQin/SiamKPN

An exact and efficient min-cost flow algorithm for data-association in multi-object tracking https://github.com/yu-lab-vt/muSSP

Quasi-Dense Similarity Learning for Multiple Object Tracking https://github.com/SysCV/qdtrack

Joint detection and tracking model named DEFT, or Detection Embeddings for Tracking https://github.com/MedChaabane/DEFT

Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks" https://github.com/yongxinw/GSDT

STEP: Segmenting and Tracking Every Pixel https://arxiv.org/abs/2102.11859

Sports Video Analysis:运动视频分析 https://github.com/stephanj/basketballVideoAnalysis

End-to-End Video Instance Segmentation with Transformers

https://arxiv.org/abs/2011.14503 [[End-to-End Video Instance Segmentation with Transformers.jpg]]

Reference-Based Video Colorization with Spatiotemporal Correspondence 重点在于时空一致性 https://arxiv.org/abs/2011.12528

多目标跟踪相关论文资源大列表 https://github.com/luanshiyinyang/awesome-multiple-object-tracking/blob/master/README-zh.md

《Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking》 https://www.arxiv-vanity.com/papers/2103.11681

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective github.com/vita-epfl/trajnetplusplusbaselines

《Track to Detect and Segment: An Online Multi-Object Tracker》(CVPR 2021) github.com/JialianW/TraDeS

《Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking》(CVPR 2021) github.com/594422814/TransformerTrack

《Robust Long-Term Object Tracking via Improved Discriminative Model Prediction》(ECCV 2020) github.com/bismex/RLT-DIMP

Blazepose tracking with DepthAI:DepthAI运动跟踪 github.com/geaxgx/depthai_blazepose

Learning Spatio-Temporal Transformer for Visual Tracking https://www.arxiv-vanity.com/papers/2103.17154

单目标追踪文献列表 github.com/wangxiao5791509/Single_Object_Tracking_Paper_List

Learning Spatio-Temporal Transformer for Visual Tracking (2021) github.com/researchmm/Stark

《Learning optical flow from still images》(CVPR 2021) github.com/mattpoggi/depthstillation

Unsupervised Visual Representation Learning by Tracking Patches in Video github.com/microsoft/CtP

Comparision:基于基准任务的目标跟踪算法比较 github.com/JudasDie/Comparison

《LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search》(CVPR 2021) github.com/researchmm/LightTrack

《Quasi-Dense Similarity Learning for Multiple Object Tracking》(CVPR 2021) github.com/SysCV/qdtrack

Visual Tracking by TridentAlign and Context Embedding》(2020) github.com/JanghoonChoi/TACT

《TrackFormer: Multi-Object Tracking with Transformers》(2021) github.com/timmeinhardt/trackformer

《MOTR: End-to-End Multiple-Object Tracking with TRansformer》(2021) github.com/megvii-model/MOTR

《TrTr: Visual Tracking with Transformer》(2021) github.com/tongtybj/TrTr

《Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark》(CVPR 2021) github.com/VisDrone/DroneCrowd

《Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling》(CVPR 2020) github.com/keonlee9420/Parallel-Tacotron2

《Towards End-to-end Video-based Eye-Tracking》(ECCV 2020) github.com/swook/EVE

UniTrack:通用视觉跟踪任务简单统一框架 github.com/Zhongdao/UniTrack

《Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking》(CVPR 2021) github.com/fatemeh-slh/ArTIST

Roboflow Object Tracking Example:用Roboflow推断API、DeepSort和CLIP实现的零样本目标跟踪 github.com/roboflow-ai/zero-shot-object-tracking

Visual-Tracking-Development:视觉追踪文献集 github.com/DavidZhangdw/Visual-Tracking-Development

[CV]《DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion》P Sun, J Cao, Y Jiang, Z Yuan, S Bai, K Kitani, P Luo [The University of Hong Kong & CMU & ByteDance Inc] (2022) https://arxiv.org/abs/2111.14690 https://github.com/DanceTrack

【AS-One : 用于YOLO目标检测和对象跟踪的模块化库】'AS-One : A Modular Libary for YOLO Object Detection and Object Tracking - Run YOLOv7,v6,v5,R,X in under 20 lines of code.' by Augmented Startups GitHub: github.com/augmentedstartups/AS-One

'YOLOv8 Object Detection with DeepSORT Tracking(ID + Trails) - YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT' Muhammad Moin GitHub: github.com/MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking

【Segment Anything Model (SAM) + Associating Objects with Transformers (AOT) 实现的零样本目标追踪】’Segment and Track Anything (SAM-Track) - An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively' Zongxin Yang GitHub: github.com/z-x-yang/Segment-and-Track-Anything

【Fast-Track:可扩展的目标跟踪管道,包括YOLO-NAS、YOLOv8和YOLOv7检测以及BYTETrack跟踪】'Fast-Track - Extendable object tracking pipelines complete with YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETrack tracking' Nate Haddad GitHub: github.com/nmhaddad/Fast-Track