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Motmot, an open-source toolkit for realtime video acquisition and analysis
Andrew D Straw1, Michael H Dickinson
1Bioengineering, California Institute of Technology, Mailcode 138-78, Pasadena, CA 91125, USA. astraw@caltech.edu.
Source Code for Biology and Medicine
|July 24, 2009
Summary
Motmot is an open-source Python software suite for real-time video acquisition, analysis, and display. It enables high-performance imaging tasks in neuroscience and biology with a user-friendly interface and custom plugin capabilities.
Area of Science:
- Scientific Imaging
- Computational Biology
- Neuroscience
Background:
- Video cameras provide rich, intuitive data for biological and neuroscience research.
- Camera-based imaging is crucial for applications from cellular studies to whole-animal behavior tracking.
Purpose of the Study:
- Introduce Motmot, an open-source software suite for real-time digital video processing.
- Provide a flexible platform for acquiring, displaying, saving, and analyzing video data.
Main Methods:
- Developed in Python with optimized C functions for high-performance data handling.
- Features include camera interface packages, low-latency display (wxPython, OpenGL), efficient video saving, and a real-time analysis plugin framework.
- Includes firmware for multi-camera synchronization and hardware integration.
Main Results:
- Motmot facilitates real-time image processing and display using Python.
- The FView graphical user interface allows easy video viewing and saving without coding.
- Included 'FlyTrax' plugin demonstrates real-time fruit fly tracking capabilities.
Conclusions:
- Motmot empowers researchers with real-time image processing and display capabilities in Python.
- Its architecture supports custom plugin development for diverse computer vision tasks.
- The software is extensible for integration into larger scientific software systems.
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