A Novel Side Face Contour Extraction Algorithm for Driving Fatigue Statue Recognition
| Autor: | Qingwen Han, Lingqiu Zeng, Xin Liu, Jianmei Lei, Zhida Lai, Lei Chen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
face profile extraction Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Color space Face detection side face contour Facial recognition system color model 0202 electrical engineering electronic engineering information engineering Three-dimensional face recognition General Materials Science Computer vision business.industry 05 social sciences General Engineering 050301 education Face (geometry) Pattern recognition (psychology) 020201 artificial intelligence & image processing Artificial intelligence Noise (video) lcsh:Electrical engineering. Electronics. Nuclear engineering business 0503 education lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 5, Pp 5723-5730 (2017) |
| ISSN: | 2169-3536 |
| Popis: | Fatigued driving detection, which employs pattern recognition to discover the state of a driver’s fatigue, is considered a key technique to improve road safety. However, the widely used frontal face recognition systems have problems, such as low recognition accuracy, poor real-time ability, and highly complex algorithms. In this paper, a new color space modeling, which uses multi-threshold decision criteria, is used to enhance facial skin extraction performance, and a three-step strategy is designed to eliminate noise and other adverse effects. Experiments show that the proposed algorithm can extract side face contour lines effectively and provide a scientific basis for real-time tracking of fatigue. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|