Multi-stream Deep Networks for Human Action Recognition with Sequential Tensor Decomposition | |
Guo, Huiwen; Wu, Xinyu; Feng Wei | |
刊名 | Signal Processing
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2017 | |
文献子类 | 期刊论文 |
英文摘要 | Effective spatial-temporal representation of motion information is crucial to human action classification. In spite of the attempt of most existing methods capturing spatial-temporal structure and learning motion representations with deep neural networks, such representations are failing to model action at their full temporal extent. To address this problem, this paper proposes a global motion representation by using sequential low-rank tensor decomposition. Specifically, we model an action sequence as a third-order tensor with spatiotemporal structure. Then, by using low-rank tensor decomposition, partial motion of objects in global context were preserved which will be feeding into deep architecture to automatically learning global-term motion features. To simultaneously exploit static spatial features, short-term motion and global-term motion in the video, we describe a multi-stream framework with recurrent convolutional architectures which is end-to-end trainable. Gated Recurrent Unit (GRU) is used as our recurrent unit which have fewer parameters than Long Short-Term Memory (LSTM). Extensive experiments were conducted on two challenging dataset: HMDB51 and UCF101. Experimental results show that our method achieves state-of-the-art performance on the HMDB51 dataset, and is comparable to the state-of-the-art methods on the UCF101 dataset. |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/11717] ![]() |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | Signal Processing |
推荐引用方式 GB/T 7714 | Guo, Huiwen,Wu, Xinyu,Feng Wei. Multi-stream Deep Networks for Human Action Recognition with Sequential Tensor Decomposition[J]. Signal Processing,2017. |
APA | Guo, Huiwen,Wu, Xinyu,&Feng Wei.(2017).Multi-stream Deep Networks for Human Action Recognition with Sequential Tensor Decomposition.Signal Processing. |
MLA | Guo, Huiwen,et al."Multi-stream Deep Networks for Human Action Recognition with Sequential Tensor Decomposition".Signal Processing (2017). |
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