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