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.

引用

页数：2

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