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2 changes: 1 addition & 1 deletion .github/ISSUE_TEMPLATE/bug-report.yml
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Expand Up @@ -70,7 +70,7 @@ body:
attributes:
label: Minimal Reproducible Example
description: >
When asking a question, people will be better able to provide help if you provide code that they can easily understand and use to **reproduce** the problem. This is referred to by community members as creating a [minimal reproducible example](https://docs.ultralytics.com/help/minimum-reproducible-example/).
When asking a question, people will be better able to provide help if you provide code that they can easily understand and use to **reproduce** the problem. This is referred to by community members as creating a [minimal reproducible example](https://docs.ultralytics.com/help/minimum-reproducible-example).
placeholder: |
```matlab
% Code to reproduce your issue here
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4 changes: 2 additions & 2 deletions .github/ISSUE_TEMPLATE/config.yml
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Expand Up @@ -6,11 +6,11 @@ contact_links:
url: https://github.com/ultralytics/msvm#readme
about: Repository overview and usage
- name: 💬 Forum
url: https://community.ultralytics.com/
url: https://community.ultralytics.com
about: Ask on Ultralytics Community Forum
- name: 🎧 Discord
url: https://ultralytics.com/discord
about: Ask on Ultralytics Discord
- name: ⌨️ Reddit
url: https://reddit.com/r/ultralytics
url: https://www.reddit.com/r/Ultralytics/
about: Ask on Ultralytics Subreddit
8 changes: 4 additions & 4 deletions README.md
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@@ -1,19 +1,19 @@
<a href="https://www.ultralytics.com/"><img src="https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg" width="320" alt="Ultralytics logo"></a>
<a href="https://www.ultralytics.com"><img src="https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg" width="320" alt="Ultralytics logo"></a>

# MSVM (Minimum Separation Vector Mapping)

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Welcome to the Minimum Separation Vector Mapping (MSVM) project! This repository contains the implementation of an innovative [machine learning](https://www.ultralytics.com/glossary/machine-learning-ml) approach developed by Ultralytics for geospatial information fusion and video analytics. MSVM is designed to enhance situational awareness in intelligence, surveillance, and reconnaissance (ISR) applications, showcasing early work in advanced [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) techniques.

## 📑 Description

The MSVM technique, originally presented in our SPIE Defense + Security 2014 paper, utilizes sophisticated algorithms to map and analyze motion imagery specifically for ISR tasks. This method focuses on fusing geospatial data with video streams to provide deeper insights. For a comprehensive understanding, please consult the original publication:

Jocher, G., et al. "Minimum Separation Vector Mapping (MSVM)." Proc. SPIE 9089, Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II, 90890A (2014). [DOI: 10.1117/12.2053833](https://doi.org/10.1117/12.2053833)
Jocher, G., et al. "Minimum Separation Vector Mapping (MSVM)." Proc. SPIE 9089, Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II, 90890A (2014). [DOI: 10.1117/12.2053833](https://www.researchgate.net/publication/269321078_Minimum_Separation_Vector_Mapping_MSVM)

## 🔧 Requirements

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