FPGA Accelerated Real-time Recurrent All-Pairs Field Transforms for Optical Flow-Reference-Cited by-同舟云学术

FPGA Accelerated Real-time Recurrent All-Pairs Field Transforms for Optical Flow

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 China Automation Congress (CAC)
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Author:

Li Yingxiang¹,Gao Yingke²,Su Zhiwen¹,Chen Shitao¹,Liu Longjun¹

Affiliation:

1. Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics (IAIR),Xi’an,China

2. China Academy of Space Technology,Beijing Institute of Control Engineering,Beijing,China

Funder

Information Technology Laboratory

China Academy of Space Technology

Natural Science Foundation of Shaanxi Province

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054511/10054645/10054761.pdf?arnumber=10054761

Reference19 articles.

1. Convolutional LSTM Network: a machine learning approach for precipitation nowcasting;shi;Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1 (NIPS'15),2015

2. An FPGA-Optimized Architecture of Real-time Farneback Optical Flow

3. Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation

4. TAIT: One-Shot Full-Integer Lightweight DNN Quantization via Tunable Activation Imbalance Transfer

5. FPGA-Based Hardware Implementation of Real-Time Optical Flow Calculation

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