A Spatial-Temporal Attention Model forHuman Trajectory Prediction
文献类型：期刊论文
| 作者 | Xiaodong Zhao; Yaran Chen ; Jin Guo; Dongbin Zhao
|
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2020 |
| 卷号 | 7期号:4页码:965-974 |
| 关键词 | Attention mechanism long-short term memory (LSTM) spatial-temporal model trajectory prediction |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2020.1003228 |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/43005]  |
| 专题 | 自动化研究所_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. |
入库方式： OAI收割
来源：自动化研究所
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