3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit.
Yiqing LiuTao ZhangZhen LiPublished in: IEEE Access (2019)
Keyphrases
- real time
- high speed
- driver assistance systems
- driving behavior
- abnormal behavior
- object detection
- detection method
- artificial intelligence
- detecting and tracking multiple
- face detection and tracking
- traffic accidents
- behavior analysis
- man made
- false positives
- anomaly detection
- urban areas
- detection rate
- change detection
- detection algorithm
- vision system
- human behavior
- automatic detection
- public transportation