There are 70 repositories under multi-object-tracking topic.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
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 2023 Best Paper] Planning-oriented Autonomous Driving
Paper list and source code for multi-object-tracking
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Multi-object trackers in Python
[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer
SiamMOT: Siamese Multi-Object Tracking
Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet
Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).
Multiple object tracking (MOT) algorithm implemented in C++
[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).
[IEEE TIP under review] TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes
[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
Bayesian multi-object tracking
DeepSORT + YOLOv5
A project for 3D multi-object tracking
Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍
A python package for turning sports video into csv files
Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)
Simple model to Track and Re-identify individuals in different cameras/videos.(Yolov3 & Yolov4)
MOTSFusion: Track to Reconstruct and Reconstruct to Track
Color tracking with OpenCV
[AAAI 2024] DiffusionTrack: Diffusion Model For Multi-Object Tracking. DiffusionTrack is the first work to employ the diffusion model for multi-object tracking by formulating it as a generative noise-to-tracking diffusion process.