Comparing two video-based techniques for driver fatigue detection: classification versus optical flow approach.
Rajinda SenaratneBudi Thomas JapSara LalArthur L. HsuSaman K. HalgamugePeter FischerPublished in: Mach. Vis. Appl. (2011)
Keyphrases
- optical flow
- pattern recognition
- classification accuracy
- automatic detection
- text classification
- feature extraction
- image sequences
- automatic classification
- feature vectors
- benchmark datasets
- image classification
- supervised learning
- object detection
- support vector machine
- moving objects
- machine learning
- motion field
- classification scheme
- eeg signals
- robust detection
- class labels
- detection algorithm
- detection method
- machine learning algorithms
- support vector machine svm
- feature space
- decision trees
- preprocessing
- support vector
- microcalcification clusters
- dense optical flow
- learning algorithm
- traffic accidents
- classification systems
- false alarms
- flow field
- pattern classification
- d scene
- classification algorithm
- data sets