Real-time Eye Tracking Technique for Multiview 3D systems

被引：0
|
作者：
Kang, Suk-Ju [1 ]
Jeong, Yong-woo [2 ]
Yun, Jae-Jung [3 ]
Bae, Sungwoo [4 ]
机构：
[1] Sogang Univ, Seoul, South Korea
[2] Dong A Univ, Busan, South Korea
[3] Daegu Univ, Gyongsan, Gyeongsangbuk D, South Korea
[4] Yeungnam Univ, Gyongsan, Gyeongsangbuk D, South Korea
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | 2016年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents the real-time multi-user eye tracking technique for multiview 3D systems. The proposed technique used the Haar feature-based face detection and classification. Then, it calculated the best matching template, and extracts eye positions based on biological proportion. Simulation results showed the proposed method enhanced the average F-1 score up to 0.312, compared with conventional methods.
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页数：2
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