A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier.
Urbano NunesDiego R. FariaPaulo PeixotoPublished in: Pattern Recognit. Lett. (2017)
Keyphrases
- differential evolution
- random forests
- human activity recognition
- max min
- feature set
- random forest
- evolutionary algorithm
- optimization algorithm
- feature space
- decision trees
- svm classifier
- human activities
- optimization method
- neural network
- support vector
- logistic regression
- activity recognition
- simulated annealing
- feature subset
- feature extraction
- genetic algorithm
- feature vectors
- data sets
- machine learning algorithms
- human computer interaction
- training data
- particle swarm optimization
- ensemble methods
- min max