Knowledge Commons of Institute of Automation,CAS
A Spatial-Temporal Attention Model forHuman Trajectory Prediction | |
Xiaodong Zhao; Yaran Chen![]() ![]() | |
发表期刊 | IEEE/CAA Journal of Automatica Sinica
![]() |
ISSN | 2329-9266 |
2020 | |
卷号 | 7期号:4页码:965-974 |
摘要 | Human trajectory prediction is essential and promising in many related applications. This is challenging due to the uncertainty of human behaviors, which can be influenced not only by himself, but also by the surrounding environment. Recent works based on long-short term memory (LSTM) models have brought tremendous improvements on the task of trajectory prediction. However, most of them focus on the spatial influence of humans but ignore the temporal influence. In this paper, we propose a novel spatial-temporal attention (ST-Attention) model, which studies spatial and temporal affinities jointly. Specifically, we introduce an attention mechanism to extract temporal affinity, learning the importance for historical trajectory information at different time instants. To explore spatial affinity, a deep neural network is employed to measure different importance of the neighbors. Experimental results show that our method achieves competitive performance compared with state-of-the-art methods on publicly available datasets. |
关键词 | Attention mechanism long-short term memory (LSTM) spatial-temporal model trajectory prediction |
DOI | 10.1109/JAS.2020.1003228 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/43005 |
专题 | 学术期刊_IEEE/CAA Journal of Automatica Sinica |
推荐引用方式 GB/T 7714 | Xiaodong Zhao,Yaran Chen,Jin Guo,et al. A Spatial-Temporal Attention Model forHuman Trajectory Prediction[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(4):965-974. |
APA | Xiaodong Zhao,Yaran Chen,Jin Guo,&Dongbin Zhao.(2020).A Spatial-Temporal Attention Model forHuman Trajectory Prediction.IEEE/CAA Journal of Automatica Sinica,7(4),965-974. |
MLA | Xiaodong Zhao,et al."A Spatial-Temporal Attention Model forHuman Trajectory Prediction".IEEE/CAA Journal of Automatica Sinica 7.4(2020):965-974. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
JAS-2020-0298.pdf(42191KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论