Knowledge management system National Space Science Center,CAS
| Heterogeneous Siamese Tracking System Based on PYNQ Framework | |
| Alternative Title | 20202608859233 |
| Cui, Zhoujuan; An, Junshe | |
| Source Publication | 2020 6th International Conference on Control, Automation and Robotics, ICCAR 2020 |
| 2020 | |
| Pages | 9108096 |
| DOI | 10.1109/ICCAR49639.2020.9108096 |
| Language | 英语 |
| ISBN | 9781728161396 |
| Abstract | Deep neural network models have been gradually applied to the field of visual tracking due to their excellent feature expression capabilities. However, the model is large, which is expressed in the calculation of model parameters. As a result, the implementation platforms of visual tracking algorithm are usually limited by computing power, power consumption, portability, etc. In this paper, we propose a Siamese network tracking scheme based on PYNQ framework, which is deployed on ZYNQ platform. By optimizing the calculation process, Siamese Network accelerated IP core and Region Proposal Network accelerated IP core are designed. double buffer structure is adopted to effectively call different feature map calculations and reduce off-chip memory access. Python is used to call the accelerated IP core at the top level as the hardware coprocessor to realize the data interaction from the bottom level to the top level and update the system running results asynchronously in Jupyter notebook. We achieve an average 36.7FPS on Xilinx ZCU104 platform, which illustrates that our method has the important practical benefit of allowing lightweight architectures to achieve good performance at high framerates. © 2020 IEEE. |
| Keyword | Calculation process Data interactions Feature expression Implementation platforms Lightweight architecture Model parameters Neural network model Visual tracking algorithm |
| Conference Name | 6th International Conference on Control, Automation and Robotics, ICCAR 2020 |
| Conference Date | April 20, 2020 - April 23, 2020 |
| Conference Place | Singapore, Singapore |
| Indexed By | EI |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.nssc.ac.cn/handle/122/7748 |
| Collection | 中国科学院国家空间科学中心 |
| Affiliation | National Space Science Center, Chinese Academy of Sciences, Beijing, China |
| Recommended Citation GB/T 7714 | Cui, Zhoujuan,An, Junshe. Heterogeneous Siamese Tracking System Based on PYNQ Framework[C],2020:9108096. |
| Files in This Item: | There are no files associated with this item. | |||||
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