GitHub - kubapok/human-motion-classification

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
.gitignore		.gitignore
LICENSE		LICENSE
README		README
ROI.py		ROI.py
__init__.py		__init__.py
classify_by_decision_tree.py		classify_by_decision_tree.py
classify_by_fuzzy_logic.py		classify_by_fuzzy_logic.py
example.png		example.png
falling.tsv		falling.tsv
fgmask.py		fgmask.py
fuzzy_classifier.py		fuzzy_classifier.py
going_left.tsv		going_left.tsv
going_right.tsv		going_right.tsv
just_sitting.tsv		just_sitting.tsv
just_standing.tsv		just_standing.tsv
kuba.webm		kuba.webm
lying_down.tsv		lying_down.tsv
sample-tree.pdf		sample-tree.pdf
sitting_down.tsv		sitting_down.tsv
standing_up.tsv		standing_up.tsv
test.webm		test.webm
tree_classifier.py		tree_classifier.py

Repository files navigation

python3 classify_by_fuzzy_logic.py test.webm # to run classification by fuzzy logic, or:
python3 classify_by_decision_tree.py test.webm # to run classification by decision tree (works better)

classes.tsv are tagged with kuba.webm movie and deciion tree in is trained on it.
For decision tree test with test.webm in order not to make resubstitution.

opencv compiled against opencv_contrib and python3 bindings required
pip3 install sklearn # in order to use decision tree
pip3 install scikit-fuzzy # in order to use decision tree