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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2109.14174 |
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| _version_ | 1866917557003354112 |
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| author | Zhao, Yaping Li, Guanghan Lam, Edmund Y. |
| author_facet | Zhao, Yaping Li, Guanghan Lam, Edmund Y. |
| contents | With advances in optical sensor technology, heterogeneous camera systems are increasingly used for high-resolution (HR) video acquisition and analysis. However, motion transfer across multiple cameras poses challenges. To address this, we propose an algorithm based on time series analysis that identifies motion seasonality and constructs an additive model to extract transferable patterns. Validated on real-world data, our algorithm demonstrates effectiveness and interpretability. Notably, it improves pose estimation in low-resolution videos by leveraging patterns derived from HR counterparts, enhancing practical utility. Code is available at: https://github.com/IndigoPurple/TSAMT |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2109_14174 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Cross-Camera Human Motion Transfer by Time Series Analysis Zhao, Yaping Li, Guanghan Lam, Edmund Y. Computer Vision and Pattern Recognition With advances in optical sensor technology, heterogeneous camera systems are increasingly used for high-resolution (HR) video acquisition and analysis. However, motion transfer across multiple cameras poses challenges. To address this, we propose an algorithm based on time series analysis that identifies motion seasonality and constructs an additive model to extract transferable patterns. Validated on real-world data, our algorithm demonstrates effectiveness and interpretability. Notably, it improves pose estimation in low-resolution videos by leveraging patterns derived from HR counterparts, enhancing practical utility. Code is available at: https://github.com/IndigoPurple/TSAMT |
| title | Cross-Camera Human Motion Transfer by Time Series Analysis |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2109.14174 |