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Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests

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Acknowledgements

This work was supported in part by National Key Research and Development Program of China (Grant No. 2019YFB2204303), Science and Technology on Analogue Integrated Circuit Laboratory (Grant No. JCKY2019210C060), National Natural Science Foundation of China (Grant No. 61434004), and Key Project of Chongqing Science and Technology Foundation (Grant Nos. cstc2019jcyj-zdxmX0017, cstc2021ycjh-bgzxm0031)

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Authors and Affiliations

  1. School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, China

    Cong Shi, Junxian He & **chuan Zhou

  2. Schepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, 02115, USA

    Shrinivas Pundlik & Gang Luo

  3. State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Bei**g, 100083, China

    Nanjian Wu

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  1. Cong Shi
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  2. Junxian He
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  3. Shrinivas Pundlik
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  4. **chuan Zhou
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  5. Nanjian Wu
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  6. Gang Luo
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Corresponding author

Correspondence to **chuan Zhou.

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Supporting information

Appendixes A–E. The supporting information is available online at info.scichina.com and springer.longhoe.net. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Low-Cost Real-Time VLSI System for High-Accuracy Optical Flow Estimation Using Biological Motion Features and Random Forests

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Shi, C., He, J., Pundlik, S. et al. Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests. Sci. China Inf. Sci. 66, 159401 (2023). https://doi.org/10.1007/s11432-021-3473-1

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