Small-Target-Motion-Detectors (STMD version 2.0)

Overview:

STMD is a comprehensive package designed for detecting small target motion in various environments.

It provides a range of functionalities and tools to facilitate the detection and tracking of small targets in both images and videos.

The package is structured to accommodate different programming languages, including MATLAB, C++, and Python, with plans for future support for Webots.

C++ code will continue to synchronize. Update log can be found in update-main.md

Features:

1. Offers advanced algorithms and models for small target motion detection.

2. Provides high-level APIs for easy integration into different projects.

3. Includes tools for data preprocessing, visualization, and evaluation.

4. Supports parameter configuration for specific application scenarios.

5. Contains demo scripts to showcase usage and capabilities.

6. Offers unit tests to ensure the correctness and reliability of algorithms.

Package Structure:

• api: Contains API functions and classes for interacting with the package.

• core: Includes core algorithms and utilities for motion detection and analysis.

• model: Contains models and neural networks used in small target motion detection.

• util: Provides additional tools and utilities for data processing and visualization.

• demo: Includes demonstration scripts showcasing the usage of the package.

• test: Contains unit tests to verify the correctness of algorithms.

How to Use:

Installation:

Clone or download the repository and follow the setup instructions for your preferred programming language.

Examples:

Running start_by_matlab.m via Matlab or running start_by_python.py via Python.

Citation

If you find this project useful for your research, please consider citing by this.

@misc{STMDgit,
	author       = {Xu, Mingshuo},
	title        = {Small-Target-Motion-Detectors, Version 2},
	year         = {2024},
	url          = {https://github.com/MingshuoXu/Small-Target-Motion-Detectors},
	note         = {Accessed: 2024-09-26}
}

Support and Feedback

If you encounter any issues or have any suggestions while using the STMD package, feel free to reach out to me.

You can raise issues or submit feedback on the GitHub repository or email mingshuoxu@hotmail.com. I will respond promptly and strive to address your concerns.

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概述:

STMD 是一个综合性的包，旨在检测各种环境中的小目标运动。

它提供了一系列功能和工具，以便在图像和视频中轻松检测和跟踪小目标。

该包结构设计支持不同的编程语言，包括 MATLAB、C++ 和 Python，并计划未来支持 Webots。

C++ 代码将会持续同步。

特点:

1. 提供先进的算法和模型，用于小目标运动检测。

2. 提供高级 API，便于集成到不同的项目中。

3. 包含用于数据预处理、可视化和评估的工具。

4. 支持为特定应用场景配置参数。

5. 包含演示脚本，展示使用和功能。

6. 提供单元测试，以确保算法的正确性和可靠性。

包结构:

• api: 包含与该包交互的 API 函数和类。

• core: 包含用于运动检测和分析的核心算法和实用程序。

• model: 包含用于小目标运动检测的模型和神经网络。

• util: 提供额外的数据处理和可视化工具和实用程序。

• demo: 包含演示脚本，展示该包的使用方法。

• test: 包含单元测试，验证算法的正确性。

如何使用:

安装:

克隆或下载存储库，并按照所选编程语言的设置说明进行设置。

示例:

在 Matlab 中运行 start_by_matlab.m 或者在 Python 中运行 start_by_python.py。

参数调整:

根据不同的输入源和应用场景调整参数。

支持和反馈

如果您在使用 STMD 包时遇到任何问题或有任何建议，请随时联系我。

您可以在 GitHub 上提出问题或提交反馈或者发邮件到mingshuoxu@hotmail.com。我会尽快回复并尽力解决您的问题。