期刊论文详细信息
Proceedings of the XXth Conference of Open Innovations Association FRUCT
On high-precision chessboard detection on static scene videos from mobile eye-tracking devices
Anastasia Afanaseva1  Sergey Afonin1 
[1] Lomonosov Moscow State University, Moscow, Russian Federation;
关键词: eye-tracker;    head motion;    chessboard;    annotation;   
DOI  :  10.23919/FRUCT.2017.8250159
来源: DOAJ
【 摘 要 】

Eye-tracking analysis require annotation of a scene video by information on the target of the gaze. We develop a technique for automatic high-precision scene annotation for mobile head-mounted eye-trackers. The solution combines computer-vision techniques for scene recognition, 3-D modeling of the recognized objects, and head movement compensation using gyroscope and accelerometer information provided by the eye-tracking device. In this paper we address the problem of recognition of a chessboard, while the approach may be applied to other situations with static scenes.

【 授权许可】

Unknown   

  文献评价指标  
  下载次数:0次 浏览次数:0次