Combining nonuniform sampling, hybrid super vector, and random forest with discriminative decision trees for action recognition.
Kuanhong XuYa LuHongwei ZhangXuetao FengWonjun KimJae-Joon HanPublished in: ICIP (2015)
Keyphrases
- random forest
- action recognition
- decision trees
- action classification
- mid level
- random forests
- human actions
- bag of words
- recognizing actions
- activity recognition
- naive bayes
- computer vision
- decision tree learning algorithms
- max margin
- feature set
- ensemble methods
- bag of features
- recognizing human actions
- action recognition in videos
- recognition of human actions
- view invariant
- base classifiers
- feature vectors
- training data
- image processing
- human activities
- machine learning
- feature selection
- semi supervised
- training set
- image classification