Accurate gaze tracking from single camera using gabor corner detector
文献类型：期刊论文
| 作者 | Xia, L. (1) ; Sheng, Bin (1) ; Wu, Wen (2) ; Ma, Lizhuang (1) ; Li, Ping (3) |
| 刊名 | Multimedia Tools and Applications
 |
| 出版日期 | 2014 |
| ISSN号 | 13807501 |
| 通讯作者 | Sheng, Bin |
| 中文摘要 | Most of the existing gaze tracking schemes with high accuracy and high speed depend on infra-red (IR) lights and multi-cameras, which leads to high complexity of apparatus and high cost. Besides, many proposed approaches hardly offer a full discussion and solution of eye blink issue. In this paper, we propose a novel gaze tracking scheme which is capable of tracking eye movements in high accuracy. Our scheme incorporates the eye corner information extracted using a novel eye corner detector. This detector is developed based on the Gabor Wavelet Transform and the Structure Tensor. Gabor Wavelet Transform decomposes an image in multi-scales and multi-orientations, thus is robust against lighting variation and tiny shift. We abstract the distribution statistics of the feature points in the eye region and re-express it as a connectivity graph. Based on such abstraction we propose a novel solution to the eye blink issue which obtains a high successful detection rate. After implementation, our scheme is proven to be accurate compared with the state of the art. Notably, only one web camera is employed in our scheme without any auxiliary light source or cameras. |
| 英文摘要 | Most of the existing gaze tracking schemes with high accuracy and high speed depend on infra-red (IR) lights and multi-cameras, which leads to high complexity of apparatus and high cost. Besides, many proposed approaches hardly offer a full discussion and solution of eye blink issue. In this paper, we propose a novel gaze tracking scheme which is capable of tracking eye movements in high accuracy. Our scheme incorporates the eye corner information extracted using a novel eye corner detector. This detector is developed based on the Gabor Wavelet Transform and the Structure Tensor. Gabor Wavelet Transform decomposes an image in multi-scales and multi-orientations, thus is robust against lighting variation and tiny shift. We abstract the distribution statistics of the feature points in the eye region and re-express it as a connectivity graph. Based on such abstraction we propose a novel solution to the eye blink issue which obtains a high successful detection rate. After implementation, our scheme is proven to be accurate compared with the state of the art. Notably, only one web camera is employed in our scheme without any auxiliary light source or cameras. |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000367856500012 |
| 公开日期 | 2014-12-16 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/17015]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Xia, L. ,Sheng, Bin ,Wu, Wen ,et al. Accurate gaze tracking from single camera using gabor corner detector[J]. Multimedia Tools and Applications,2014. |
| APA | Xia, L. ,Sheng, Bin ,Wu, Wen ,Ma, Lizhuang ,&Li, Ping .(2014).Accurate gaze tracking from single camera using gabor corner detector.Multimedia Tools and Applications. |
| MLA | Xia, L. ,et al."Accurate gaze tracking from single camera using gabor corner detector".Multimedia Tools and Applications (2014). |
入库方式： OAI收割
来源：软件研究所
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