multi-object-tracking

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

Real-time multi-video multi-object tracker using YOLO v5 and Deep SORT

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.

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

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

Official Implementation of How To Train Your Deep Multi-Object Tracker

SiamMOT: Siamese Multi-Object Tracking

Library for tracking-by-detection multi object tracking implemented in python

Multiple object tracking (MOT) algorithm implemented in C++

Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

[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).

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

A Library of 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

Bayesian multi-object tracking

Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)

MOTSFusion: Track to Reconstruct and Reconstruct to Track

Color tracking with OpenCV

Cascade-RCNN+DeepSort MOTDT Trackor++

A project for 3D multi-object tracking on KITTI dataset

This repository contains code for the tracking system as described in ''Combined Image- and World-Space Tracking in Traffic Scenes'', ICRA 2017.

Multi-person tracking with SSD and Sort

Code for Online Multi-Object Tracking with Dual Matching Attention Network, ECCV 2018

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Simple model to Track and Re-identify individuals in different cameras/videos.(Yolov3 & Yolov4)