Driver yawning detection based on deep convolutional neural learning and robust nose tracking.
Weiwei ZhangYi Lu MurpheyTianyu WangQijie XuPublished in: IJCNN (2015)
Keyphrases
- neural learning
- partial occlusion
- driver assistance systems
- cluttered background
- multi layered
- robust tracking
- multi target tracking
- facial feature detection
- accurate localization
- deep learning
- tracking framework
- human detection
- object tracking
- detection algorithm
- intelligent robots
- real time
- orientation estimation
- visual tracking
- detection accuracy
- robust detection
- particle filter
- intelligent vehicles
- facial features
- kalman filter
- object detection
- object tracking algorithm
- face detection and tracking
- crowded scenes
- reliable detection
- tracking scheme
- neural network
- false detections
- vehicle detection
- detection rate
- mean shift
- detection method
- machine learning
- particle filtering
- incremental learning
- lighting conditions
- appearance model
- video sequences
- detecting and tracking multiple