Skip to content

ETETMO: An End-to-End Visual Intelligent Surveillance Framework for Robust Tracking of Moving Objects on the Airport Surface

Notifications You must be signed in to change notification settings

3083156185/ETETMO

Folders and files

NameName
Last commit message
Last commit date

Latest commit

0ade51b Β· Feb 7, 2025

History

64 Commits
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025
Feb 7, 2025

Repository files navigation

πŸ¦–ETETMO

ETETMO: An End-to-End Visual Intelligent Surveillance Framework for Robust Tracking of Moving Objects on the Airport Surface

[XIANGQING DONG](https://orcid.org/0009-0004-3789-4359)1,[MENG DING](https://faculty.nuaa.edu.cn/dm/zh_CN/index.htm)πŸ“§1,[YUBIN XU]2, [YIMING XU]1, [LI CAO]1

1 Nanjing University of Aeronautics and Astronautics, 2Chinese Academy of Civil Aviation Science and Technology

πŸ“§ corresponding author.

πŸ”₯ Updates

  • 2/07/2025: We release the pre-trained models and the detect code.

  • 1/07/2025: We have published some visualization experiments static and dynamic results.

  • 11/02/2024: We submitted the paper. Code and pre-trained model are coming soon.

πŸš€ Introduction

This project contains the official PyTorch implementation, pre-trained models, fine-tuning code, and detect demo for ETETMO.

  • An end-to-end intelligent visual surveillance framework,ETETMO, is proposed for robust tracking of moving objects on the airport surface.

  • ETETMO replaces the traditional manually designed ID association methods with a learnable ID classification strategy.

  • ETETMO surpasses state-of-the-art methods across five key evaluation metrics, achieving a 7.6% improvement in HOTA and an 11% improvement in IDF1.

πŸ“„ Overview

✨ Model Zoo

🏁 Getting Started

1. DATASET Structure

ETETMO
β”œβ”€β”€ dataset
β”‚   β”œβ”€β”€ ASV-T2024
β”‚   β”‚   β”œβ”€β”€ annotations
β”‚   β”‚   β”œβ”€β”€ train
β”‚   β”‚   β”œβ”€β”€ val
β”‚   β”‚   └── test
β”‚   β”œβ”€β”€ coco
β”‚   β”‚   β”œβ”€β”€ annotations
β”‚   β”‚   β”œβ”€β”€ train2017
β”‚   β”‚   └── val2017

2. Installation

Compile and install the required packages
pip install timm==0.9.8 thop efficientnet_pytorch==0.7.1 einops grad-cam==1.4.8 dill==0.3.6 albumentations==1.3.1 pytorch_wavelets==1.3.0 tidecv PyWavelets -i https://pypi.tuna.tsinghua.edu.cn/simple
    pip install -U openmim
    mim install mmengine
    mim install "mmcv>=2.0.0"

πŸ’» Visualization of experimental results

😊 Acknowledge

This project has referenced some excellent open-sourced repos (Detectron2, detrex, RT-DETR, ultralytics). Thanks for their wonderful works and contributions to the community.

About

ETETMO: An End-to-End Visual Intelligent Surveillance Framework for Robust Tracking of Moving Objects on the Airport Surface

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages