Local Random Sparse Coding for Human Action Recognition in Wireless Sensor Networks
Recognizing human action in wireless sensor networks (WSN) has raised a great interest owing to the requirements of real-world applications. Recently, the bag-of-features model (BOF) has proved effective in human action recognition. In this paper, we propose a novel method named local random sparse...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2015-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/726369 |
| _version_ | 1826992642611740672 |
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| author | Zhong Zhang Shuang Liu |
| author_facet | Zhong Zhang Shuang Liu |
| author_sort | Zhong Zhang |
| collection | DOAJ |
| description | Recognizing human action in wireless sensor networks (WSN) has raised a great interest owing to the requirements of real-world applications. Recently, the bag-of-features model (BOF) has proved effective in human action recognition. In this paper, we propose a novel method named local random sparse coding (LRSC) for human action recognition in WSN based on the BOF model. The contribution is twofold. First, we utilize random projection (RP) technique for each feature vector to alleviate the curse of dimensionality. Second, we consider the locality of codebook and correspondingly propose to reconstruct the features using similar codewords. Our method is verified on the KTH and UCF Sports databases, and the experimental results demonstrate that our method achieves better results than that of previous methods on human action recognition in WSN. |
| first_indexed | 2024-03-12T10:23:37Z |
| format | Article |
| id | doaj.art-51362b57386a4ace9f2d885dc9a9b9a9 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2025-02-18T08:52:43Z |
| publishDate | 2015-10-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-51362b57386a4ace9f2d885dc9a9b9a92024-11-02T23:57:07ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/726369726369Local Random Sparse Coding for Human Action Recognition in Wireless Sensor NetworksZhong ZhangShuang LiuRecognizing human action in wireless sensor networks (WSN) has raised a great interest owing to the requirements of real-world applications. Recently, the bag-of-features model (BOF) has proved effective in human action recognition. In this paper, we propose a novel method named local random sparse coding (LRSC) for human action recognition in WSN based on the BOF model. The contribution is twofold. First, we utilize random projection (RP) technique for each feature vector to alleviate the curse of dimensionality. Second, we consider the locality of codebook and correspondingly propose to reconstruct the features using similar codewords. Our method is verified on the KTH and UCF Sports databases, and the experimental results demonstrate that our method achieves better results than that of previous methods on human action recognition in WSN.https://doi.org/10.1155/2015/726369 |
| spellingShingle | Zhong Zhang Shuang Liu Local Random Sparse Coding for Human Action Recognition in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | Local Random Sparse Coding for Human Action Recognition in Wireless Sensor Networks |
| title_full | Local Random Sparse Coding for Human Action Recognition in Wireless Sensor Networks |
| title_fullStr | Local Random Sparse Coding for Human Action Recognition in Wireless Sensor Networks |
| title_full_unstemmed | Local Random Sparse Coding for Human Action Recognition in Wireless Sensor Networks |
| title_short | Local Random Sparse Coding for Human Action Recognition in Wireless Sensor Networks |
| title_sort | local random sparse coding for human action recognition in wireless sensor networks |
| url | https://doi.org/10.1155/2015/726369 |
| work_keys_str_mv | AT zhongzhang localrandomsparsecodingforhumanactionrecognitioninwirelesssensornetworks AT shuangliu localrandomsparsecodingforhumanactionrecognitioninwirelesssensornetworks |