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Heterogeneous tracking system of kernel correlation filtering based on PYNQ framework
Alternative Title20202908946842
Cui, Zhoujuan; Chen, Changlong; An, Junshe; Cui, Tianshu
Source PublicationProceedings - 2020 3rd International Conference on Electron Device and Mechanical Engineering, ICEDME 2020
2020
Pages9122194
DOI10.1109/ICEDME50972.2020.00170
Language英语
ISBN9781728181455
AbstractAiming at the complex structure and weak real-time performance of traditional visual tracking system, a scheme based on PYNQ (Python productivity for Zynq) framework is designed and deployed in Zynq heterogeneous platform. Firstly, according to the real-time requirements, the kernel-related filter tracking algorithm is selected. Then, according to the characteristics of the Zynq computing platform, the software and hardware collaborative design method is used to divide the system tasks, and the algorithm is converted into RTL (Register Transfer Level) by HLS (High Level Synthesis) development tools, and the calculation is performed. The process is optimized and exported as an IP core. Then, Python is used to import the IP core as a hardware coprocessor at the top level to implement the underlying to top-level data interaction. Finally, the system result is asynchronously updated in the Jupyter notebook. Experiments show that the system has good real-time performance, and the tracking speed averages 27.9FPS. At the same time, it has superior execution efficiency, is easy to develop and transplant, and has certain engineering reference value. © 2020 IEEE.
KeywordCollaborative design Correlation filtering Heterogeneous platforms Real time performance Real time requirement RTL (register transfer level) Software and hardwares Visual tracking systems
Conference Name3rd International Conference on Electron Device and Mechanical Engineering, ICEDME 2020
Conference DateMay 1, 2020 - May 3, 2020
Conference PlaceSuzhou, China
Indexed ByEI
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Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7749
Collection中国科学院国家空间科学中心
AffiliationNational Space Science Center Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Cui, Zhoujuan,Chen, Changlong,An, Junshe,et al. Heterogeneous tracking system of kernel correlation filtering based on PYNQ framework[C],2020:9122194.
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