Detecting dynamic visual attention in augmented reality aided navigation environment based on a multi-feature integration fully convolutional network

Hei Qiaosong; Dong Weihua; Shi Bowen

首页> 外文期刊>Cartography and geographic information science >Detecting dynamic visual attention in augmented reality aided navigation environment based on a multi-feature integration fully convolutional network

【24h】

Detecting dynamic visual attention in augmented reality aided navigation environment based on a multi-feature integration fully convolutional network

机译：Detecting dynamic visual attention in augmented reality aided navigation environment based on a multi-feature integration fully convolutional network

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Visual attention detection, as an important concept for human visual behavior research, has been widely studied. However, previous studies seldom considered the feature integration mechanism to detect visual attention and rarely considered the differences due to different geographical scenes. In this paper, we use an augmented reality aided (AR-aided) navigation experimental dataset to study human visual behavior in a dynamic AR-aided environment. Then, we propose a multi-feature integration fully convolutional network (M-FCN) based on a self-adaptive environment weight (SEW) to integrate RGB-D, semantic, optical flow and spatial neighborhood features to detect human visual attention. The result shows that the M-FCN performs better than other state-of-the-art saliency models. In addition, the introduction of feature integration mechanism and the SEW can improve the accuracy and robustness of visual attention detection. Meanwhile, we find that RGB-D and semantic features perform best in different road routes and road types, but with the increase in road type complexity, the expressiveness of these two features weakens, and the expressiveness of optical flow and spatial neighborhood features increases. The research is helpful for AR-device navigation tool design and urban spatial planning.

著录项

来源
《Cartography and geographic information science》 |2023年第1期|63-78|共16页
作者
Hei Qiaosong; Dong Weihua; Shi Bowen;
展开▼
作者单位

Beijing Normal Univ;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
AR-aided navigation; visual attention; multi-feature integration; fully convolutional network; dynamic scene;

Detecting dynamic visual attention in augmented reality aided navigation environment based on a multi-feature integration fully convolutional network

摘要

著录项

相关主题

期刊订阅