Image Compensation for Improving Extraction of Driver's Facial Features

被引：0

作者：

Wang, Jung-Ming ^{[1
]}

Chou, Han-Ping ^{[2
]}

Chen, Sei-Wang ^{[1
]}

Fuh, Chiou-Shann ^{[3
]}

机构：

[1] Natl Taiwan Normal Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan

[2] Chung Hua Univ, Dept Informat Management, Hsinchu, Taiwan

[3] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan

来源：

PROCEEDINGS OF THE 2014 9TH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS (VISAPP), VOL 1 | 2014年

关键词：

Vision System; Face Detection; Facial Feature Detection; Image Compensation; Specified Histogram Equalization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Extracting driver's facial feature helps to identify the vigilance level of a driver. Some research about facial feature extraction also has been developed for controlled interface of vehicle. To acquire facial feature of drivers, research using various visual sensors have been reported. However, potential challenges to such a work include rapid illumination variation resulting from ambient lights, abrupt lighting change (e.g., entering/exiting tunnels and sunshine/shadow), and partial occlusion. In this paper, we propose an image compensation method for improve extraction of a driver's facial features. This method has the advantages of fast processing and high adaptation. Our experiments show that the extraction of driver's facial features can be improved significantly.

引用

页码：329 / 338

页数：10

共 50 条

[31] Detection of Driver's Drowsy Facial Expression
Nakamura, Taro
Maejima, Akinobu
Morishima, Shigeo
2013 SECOND IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR 2013), 2013, : 749 - 753
[32] Improved Driver Drowsiness Detection Model Using Relevant Eye Image's Features
Hussein, Walid
Abou El-Seoud, M. Samir
2017 EUROPEAN CONFERENCE ON ELECTRICAL ENGINEERING AND COMPUTER SCIENCE (EECS), 2017, : 261 - 265
[33] Extraction of visual and acoustic features of the driver for monitoring driver ergonomics applied to extended driver assistance systems
Vankayalapati H.D.
Anne K.R.
Kyamakya K.
Advances in Intelligent and Soft Computing, 2010, 81 : 83 - 94
[34] Extraction of Visual and Acoustic Features of the Driver for Monitoring Driver Ergonomics Applied to Extended Driver Assistance Systems
Vankayalapati, H. D.
Anne, K. R.
Kyamakya, K.
DATA AND MOBILITY: TRANSFORMING INFORMATION INTO INTELLIGENT TRAFFIC AND TRANSPORTATION SERVICES, PROCEEDINGS OF THE LAKESIDE CONFERENCE 2010, 2010, 81 : 83 - +
[35] Safety Compensation for Improving Driver Takeover Performance in Conditionally Automated Driving
Yao, Hua
An, Suyang
Zhou, Huiping
Itoh, Makoto
JOURNAL OF ROBOTICS AND MECHATRONICS, 2020, 32 (03) : 530 - 536
[36] Spatiotemporal Facial Features Encoding for Facial Expression Analysis in Image Sequences
Buciu, Ioan
Gacsadi, Alexandru
2011 10TH INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS (ISSCS), 2011,
[37] Driver Drowsiness Monitoring System Using Fusion of Facial Features & EEG
Salimuddin, Misbah Kazi
Ramarao
Panbude, Shraddha
PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2018, : 1506 - 1510
[38] Multi-Index Driver Drowsiness Detection Method Based on Driver's Facial Recognition Using Haar Features and Histograms of Oriented Gradients
Quiles-Cucarella, Eduardo
Cano-Bernet, Julio
Santos-Fernandez, Lucas
Roldan-Blay, Carlos
Roldan-Porta, Carlos
SENSORS, 2024, 24 (17)
[39] Extraction of edge features in cardiovascular image
Lu, JR
Chen, DQ
Yu, DY
Liu, XJ
MEDICAL IMAGE ACQUISITION AND PROCESSING, 2001, 4549 : 141 - 148
[40] Automatic Extraction of Planetary Image Features
Troglio, G.
Benediktsson, J. A.
Moser, G.
Serpico, S. B.
Le Moigne, J.
SMC-IT 2009: THIRD IEEE INTERNATIONAL CONFERENCE ON SPACE MISSION CHALLENGES FOR INFORMATION TECHNOLOGY, PROCEEDINGS, 2009, : 211 - +

← 1 2 3 4 5 →