Sitting posture detection and recognition of aircraft passengers using machine learning.
Wen-Zhe CunRong MoJianjie ChuSuihuai YuHuizhong ZhangHao FanYanhao ChenMengcheng WangHui WangChen ChenPublished in: Artif. Intell. Eng. Des. Anal. Manuf. (2021)
Keyphrases
- machine learning
- pattern recognition
- automatic detection
- traffic signs
- object detection
- recognition accuracy
- detection method
- recognition rate
- hand gestures
- false alarms
- robust detection
- scene text recognition
- machine learning methods
- road signs
- decision trees
- detection rate
- air traffic
- hand postures
- object recognition
- false positives
- forward looking infrared
- feature selection
- recognition algorithm
- human body
- machine learning algorithms
- detection accuracy
- recognition process
- text mining
- image recognition
- computer vision
- partial occlusion
- learning systems
- detection algorithm
- hidden markov models
- feature extraction
- character recognition
- action recognition
- anomaly detection
- automatic recognition
- unsupervised learning
- complex background
- text classification
- computational intelligence
- natural language processing
- d objects
- reinforcement learning