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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

###【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