OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

[ECCV'22 Oral] Towards Grand Unification of Object Tracking

[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).

This repository is a paper digest of Transformer-related approaches in visual tracking tasks.

[ECCV'22] The official PyTorch implementation of our ECCV 2022 paper: "AiATrack: Attention in Attention for Transformer Visual Tracking".

[IEEE TCYB 2023] The first large-scale tracking dataset by fusing RGB and Event cameras.

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

[CVPR'23] The official PyTorch implementation of our CVPR 2023 paper: "Generalized Relation Modeling for Transformer Tracking".

This is the official code for SiamAPN & SiamAPN++

Official Implementation of Towards Sequence-Level Training for Visual Tracking (ECCV 2022)

Paper collection of rgb-infrared tracking algorithms.

A large-scale benchmark dataset for color-event based visual tracking

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark (CVPR 2021)

Person Following Robot - Smart Trolley

[WACV 2024] Separable Self and Mixed Attention Transformers for Efficient Object Tracking

[BMVC 2023] Mobile Vision Transformer-based Visual Object Tracking

🔦 Pytorch implementation of TrackNet

Single object tracking (SOT) using detectron2

Lightweight Swift package for adding real-time object tracking to any detector.