Hello,
For video analysis of the creation of drawings, besides optical flow, you can also consider the following techniques:
- Motion tracking: You can track the movement of specific points or objects in the video over time. This can be useful for analyzing the trajectory or speed of the process. Documentation: https://in.mathworks.com/help/vision/tracking-and-motion-estimation.html
- Gesture recognition: If you are interested in analyzing specific gestures or patterns in the drawings, you can use techniques like template matching or ML algorithms to recognize and classify different gestures. Documentation: https://in.mathworks.com/help/deeplearning/ug/gesture-recognition-using-deep-learning.html
- Time-lapse visualization: You can create a time-lapse video of the drawing process by extracting key frames at regular intervals. This can provide a condensed view of the entire drawing process. Documentation: https://in.mathworks.com/help/imaq/creating-time-lapse-video-using-timer-events.html
For image processing of the final drawings, in addition to the techniques you mentioned (color distributions, object analysis, box counting, and fractal analysis), you can also consider:
- Edge detection: Detecting and analyzing the edges of objects in the drawings can provide insights into the overall structure and composition.Documentation: https://in.mathworks.com/discovery/edge-detection.html
- Texture analysis: Analyzing the texture patterns in the drawings can help in understanding the artistic style or brushstroke techniques used by the subjects. Documentation: https://in.mathworks.com/help/images/texture-analysis-1.html
I hope these suggestions are helpful for your research
