1. Hands segmentation Pat Jangyodsuk

2. Motivation Alternative approach of finding hands Instead of finding bounding box, classify each pixel whether they’re hand pixel or not

3. Example

4. First step Create hands segment images for training – Dataset: American Sign language (ASL) dataset Annotated hand bounding boxes are already provided – Extract only hands pixel instead of whole bounding box

5. Results so far Get skin score image On annotated hands bounding box, assuming that all skin pixels are hand pixels – Fail when hands are on top of face or each other

6. Results so far

7. Use foreground / background segmentation code (based on graph cut algorithm) from OpenCV to enhance result – Still not perfect though

8. Segment Results