Journal of Infrared and Millimeter Waves, Volume. 41, Issue 5, 914(2022)
An ultra-efficient streaming-based FPGA accelerator for infrared target detection
[1] Nowosielski A, Małecki K, Forczmański P et al. Embedded Night-Vision System for Pedestrian Detection[J]. IEEE Sensors Journal, 20, 9293-9304(2020).
[12] Li Y, Lu S, Luo J et al. 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP), 335-339(2019).
[14] Zhang X, Lu H, Hao C et al. SkyNet: a hardware-efficient method for object detection and tracking on embedded systems[J]. Proceedings of Machine Learning and Systems, 2, 216-229(2020).
[15] Howard A G, Zhu M, Chen B et al. Mobilenets: Efficient convolutional neural networks for mobile vision applications[J](2017).
Get Citation
Copy Citation Text
Shao-Yi CHEN, Xin-Yi TANG, Jian WANG, Jing-Si HUANG, Zheng LI. An ultra-efficient streaming-based FPGA accelerator for infrared target detection[J]. Journal of Infrared and Millimeter Waves, 2022, 41(5): 914
Category: Research Articles
Received: Jan. 13, 2022
Accepted: --
Published Online: Feb. 6, 2023
The Author Email: Zheng LI (lizheng_sitp@163.com)