wehub-resource-sync
468fc26eb0
CodeQL Advanced / Analyze (actions) (push) Has been cancelled
CodeQL Advanced / Analyze (javascript-typescript) (push) Has been cancelled
CodeQL Advanced / Analyze (python) (push) Has been cancelled
Scorecard supply-chain security / Scorecard analysis (push) Has been cancelled
22 lines
1.0 KiB
Markdown
22 lines
1.0 KiB
Markdown
# Detecting Movements using Optical Flow
|
|
|
|
Lab Assignment from [AI for Beginners Curriculum](https://aka.ms/ai-beginners).
|
|
|
|
## Task
|
|
|
|
Consider [this video](palm-movement.mp4), in which a person's palm moves left/right/up/down on the stable background.
|
|
|
|
<img src="../images/palm-movement.png" width="30%" alt="Palm Movement Frame"/>
|
|
|
|
**Your goal** would be able to use Optical Flow to determine, which parts of video contain up/down/left/right movements.
|
|
|
|
**Stretch goal** would be to actually track the palm/finger movement using skin tone, as described [in this blog post](https://dev.to/amarlearning/finger-detection-and-tracking-using-opencv-and-python-586m) or [here](http://www.benmeline.com/finger-tracking-with-opencv-and-python/).
|
|
|
|
## Starting Notebook
|
|
|
|
Start the lab by opening [MovementDetection.ipynb](MovementDetection.ipynb)
|
|
|
|
## Takeaway
|
|
|
|
Sometimes, relatively complex tasks such as movement detection or fingertip detection can be solved purely by computer vision. Thus, it is very helpful to know what libraries like OpenCV can do.
|