JOINT ESTIMATION OF HEAD POSE AND VISUAL FOCUS OF ATTENTION

被引：0
|
作者：
Huang, Yingning [1 ]
Duan, Dingrui [1 ]
Cui, Jinshi [1 ]
Davoine, Franck [3 ]
Wang, Li [2 ]
Zha, Hongbin [1 ]
机构：
[1] Peking Univ, Sch EECS, Key Lab Machine Percept MoE, Beijing 100871, Peoples R China
[2] Peking Univ, Dept Psychol, Beijing 100871, Peoples R China
[3] CNRS, LIAMA Sinoeuropean Lab, Beijing, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2014年
关键词：
Head pose estimation; visual focus of attention; joint estimation; low resolution;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Head pose is an important indicator of a person's visual focus of attention (VFoA). A traditional way to recognize VFoA is to consider accurate head pose or gaze estimations. However, these estimations usually degrade drastically in middle or low resolution video data. In this paper, a joint estimation of head pose and VFoA is proposed to address this issue; both head pose and VFoA are iteratively refined until convergence. This approach is evaluated in a specific scenario involving children around a table playing together with toys. Datasets are acquired and annotated by psychologists in Peking university. The experimental results demonstrate the usefulness of the join estimation process to recognize visual focus of attention in middle resolution video sequences.
引用
收藏
页码：3332 / 3336
页数：5
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