Model to identify spatial and temporal behavioral patterns of moving objects in video sequences!
Table of Contents
The theoretical pattern detection model aims to automatically identify spatial and temporal behavioral patterns of moving objects in video sequences.
- Artificial Intelligence
- Extraction of Information
- Inference of Activities
- Intelligence System
- Temporal Patterns
- Causality
This section lists the main frameworks/libraries used to start the project:
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This model requires the following modules:
Use the package manager conda to install foobar.
conda install anaconda-navigator- Launch Anaconda-Navigator a) Windows: From the Start menu, search for “Anaconda Navigator” and click to open. b) MacOS: Open Launchpad, then click the Anaconda-Navigator icon. c) Linux: Open a terminal window, and open Navigator by using the following command:
anaconda-navigator
- Launch Jupyter Notebook. Select or click on patterndetectionmodel.ipynb file
- Use the icons on the Notepad toolbar (Run, icon).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/somethingtodo) - Commit your Changes (
git commit -m 'Add some somethingtodo') - Push to the Branch (
git push origin feature/somethingtodo) - Open a Pull Request
Please make sure to update tests as appropriate.
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Overview: https://github.com/trejoan1
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