A Real-Time Pupils Detection System

碩士 === 國立臺灣科技大學 === 電機工程系 === 102 === Nowadays, most of man-machine interfaces are controlled by contact devices such as keyboard, mouse, or touch panel. It will be a future trend of man-machine interface to analyze human behaviors and provide suitable services through contactless interfaces instead...

Full description

Bibliographic Details
Main Authors: Hsin-Fu Hung, 洪信甫
Other Authors: Nai-Jian Wang
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/97705645287564788627
id ndltd-TW-102NTUS5442132
record_format oai_dc
spelling ndltd-TW-102NTUS54421322016-09-25T04:04:34Z http://ndltd.ncl.edu.tw/handle/97705645287564788627 A Real-Time Pupils Detection System 即時瞳孔偵測系統 Hsin-Fu Hung 洪信甫 碩士 國立臺灣科技大學 電機工程系 102 Nowadays, most of man-machine interfaces are controlled by contact devices such as keyboard, mouse, or touch panel. It will be a future trend of man-machine interface to analyze human behaviors and provide suitable services through contactless interfaces instead of contact interfaces. Man-machine contactless interface can be achieved by pupils detection system. Pupils detection system can detect user’s pupils from the input image by camera and further analyze user’s eyes status (close or open). Then, the pupils detection system can play a key role in contactless man-machine interface. Face detection conducted by image processing is a crucial part of man-machine interaction. This research is on the basis of face detection to develop a pupils detection system. In the typical face detection system, users need to face the camera without head tilting to make the system operate normally and accurately. Due to this limitation, it is inconvenient in the real practical applications. This research proposes a point-rotation face detection framework. In this framework, we first locate the face candidates by skin tone detection and apply the edge detection on the candidates to complete the localization. Then we search the edge features by radial template. By the symmetricity of faces, our method can correct the face image to the up-right angle. Finally, a frontal face detector is used to determine the existence and the location of faces. After the previous process the face image will be converted to an up-right face image. Then we apply the torque-weight method to extract the eyes region on the face image. At last, the pupils in the eyes region are detected by using YUV color space. By the proposed framework, the users can operate the system more instinctively and easily. Nai-Jian Wang 王乃堅 2014 學位論文 ; thesis 96 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣科技大學 === 電機工程系 === 102 === Nowadays, most of man-machine interfaces are controlled by contact devices such as keyboard, mouse, or touch panel. It will be a future trend of man-machine interface to analyze human behaviors and provide suitable services through contactless interfaces instead of contact interfaces. Man-machine contactless interface can be achieved by pupils detection system. Pupils detection system can detect user’s pupils from the input image by camera and further analyze user’s eyes status (close or open). Then, the pupils detection system can play a key role in contactless man-machine interface. Face detection conducted by image processing is a crucial part of man-machine interaction. This research is on the basis of face detection to develop a pupils detection system. In the typical face detection system, users need to face the camera without head tilting to make the system operate normally and accurately. Due to this limitation, it is inconvenient in the real practical applications. This research proposes a point-rotation face detection framework. In this framework, we first locate the face candidates by skin tone detection and apply the edge detection on the candidates to complete the localization. Then we search the edge features by radial template. By the symmetricity of faces, our method can correct the face image to the up-right angle. Finally, a frontal face detector is used to determine the existence and the location of faces. After the previous process the face image will be converted to an up-right face image. Then we apply the torque-weight method to extract the eyes region on the face image. At last, the pupils in the eyes region are detected by using YUV color space. By the proposed framework, the users can operate the system more instinctively and easily.
author2 Nai-Jian Wang
author_facet Nai-Jian Wang
Hsin-Fu Hung
洪信甫
author Hsin-Fu Hung
洪信甫
spellingShingle Hsin-Fu Hung
洪信甫
A Real-Time Pupils Detection System
author_sort Hsin-Fu Hung
title A Real-Time Pupils Detection System
title_short A Real-Time Pupils Detection System
title_full A Real-Time Pupils Detection System
title_fullStr A Real-Time Pupils Detection System
title_full_unstemmed A Real-Time Pupils Detection System
title_sort real-time pupils detection system
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/97705645287564788627
work_keys_str_mv AT hsinfuhung arealtimepupilsdetectionsystem
AT hóngxìnfǔ arealtimepupilsdetectionsystem
AT hsinfuhung jíshítóngkǒngzhēncèxìtǒng
AT hóngxìnfǔ jíshítóngkǒngzhēncèxìtǒng
AT hsinfuhung realtimepupilsdetectionsystem
AT hóngxìnfǔ realtimepupilsdetectionsystem
_version_ 1718384867775873024