OpenVTER

Introduction

English | 简体中文

OpenVTER is an open vehicle trajectory extraction framework based on rotated bounding boxes. OpenVTER provides a full-stack vehicle trajectory extraction software that contains a video stabilization module, an image divide module, a rotated object detection module, a tracking module, and a data post-processing module.

Recommended system

• Intel i7 gen 9th - 14th / Intel i9 gen 9th - 14th / AMD ryzen 7 / AMD ryzen 9
• +16 GB RAM memory
• NVIDIA RTX 2070 / NVIDIA RTX 2080 / NVIDIA RTX 3070, NVIDIA RTX 3080, NVIDIA RTX 3090
• Ubuntu 18.04

Major Components

License

This project is released under the Apache 2.0 license.

Getting Started

Please see get_started.md for the basic usage of OpenVTER.

Trajectory connection

The code corresponding to the GCVTM paper is "./toolbox/trajectory_connection/multi_video_trajectory_connection.py"

Citation

If you are using our OpenVTER framework or codes for your development, please cite the following paper:

@article{ji2024openvter,
  author={Ji, Xinkai and Han, Yu and Mao, Peipei and Huang, Yan and Yu, Hao and Liu, Pan},
  journal={IEEE Transactions on Intelligent Transportation Systems}, 
  title={OpenVTER: An Open Vehicle Trajectory Extraction Framework Based on Rotated Bounding Boxes}, 
  year={2024},
  volume={},
  number={},
  pages={1-18},
  doi={10.1109/TITS.2024.3481256}}

@article{**,
  title   = {A Graph-Based Approach for Connecting Vehicle Trajectories from Multiple UAVs},
  author  = {Xinkai Ji},
  journal= {},
  year={}
}

Author

Xinkai Ji (github)

Ph.D. Candidate
School of Transportation, Southeast University, China
Email: xinkaiji@seu.edu.cn

Demo