spre pagina principală a DMG-Lib
Acasă  · Harta site-ului  · Contact  ·

Căutare avansată   Căutare mecanism

Robust Eye and Pupil Detection Method for Gaze Tracking : Riconoscimento robusto di occhio e pupilla per tracking, in: International Journal of Advanced Robotic Systems

thumbnail
Dokument öffnen (benötigt JavaScript)   Deschide documentul

Informaţii generale

Autor Gwon, Su Yeong; Cho, Chul Woo; Lee, Hyeon Chang; Lee, Won Oh; Park, Kang Ryoung
Publicat  InTech Open Access Publisher, 2013
Ediţie  
Detaliază  
ISBN
Abstract Robust and accurate pupil detection is a
prerequisite for gaze detection. Hence, we propose a
new eye/pupil detection method for gaze detection on a
large display. The novelty of our research can be
summarized by the following four points. First, in order
to overcome the performance limitations of
conventional methods of eye detection, such as adaptive
boosting (Adaboost) and continuously adaptive mean
shift (CAMShift) algorithms, we propose adaptive
selection of the Adaboost and CAMShift methods.
Second, this adaptive selection is based on two
parameters: pixel differences in successive images and
matching values determined by CAMShift. Third, a
support vector machine (SVM)‐based classifier is used
with these two parameters as the input, which improves
the eye detection performance. Fourth, the center of the
pupil within the detected eye region is accurately
located by means of circular edge detection, binarization
and calculation of the geometric center.
The experimental results show that the proposed method
can detect the center of the pupil at a speed of
approximately 19.4 frames/s with an RMS error of
approximately 5.75 pixels, which is superior to the
performance of conventional detection methods.
Collections
Articole de reviste
2000 şi ulterior
Superordinate work
 
no fulltext found International Journal of Advanced Robotic Systems
Autor: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publicat: 2004
Linked items
Documents: International Journal of Advanced Robotic Systems
Permanent links
DMG-Lib FaviconDMG-Lib https://www.dmg-lib.org/dmglib/handler?docum=32390009
Europeana FaviconEuropeana  http://www.europeana.eu/portal/record/2020801/dmglib_handler_docum_32390009.html
PDF FaviconPDF  Robust Eye and Pupil Detection Method for Gaze Tracking
Data provider
UCAUniv. Cassino  http://webuser.unicas.it/weblarm/larmindex.htm
Administrative information
Time of publication 2013
License information Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

nach oben sus
×