For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Affiliations:
1:
Key Ministry Education Laboratory of Dynamics and Control of Flight Vehicle , Beijing Institute of Technology , Beijing , China ;
2:
Radar Research Lab, School of Information and Electronics , Beijing Institute of Technology , Beijing , China
Source: IET International Radar Conference (IET IRC 2020),
2021
p.
1416 – 1420
Target tracking is an important branch in the field of computer vision. In recent years, parallel computing efficiency becomes the key to improving real-time performance in multi-core DSP platforms. This paper proposes the concept of execution parallelism based on Open MP, optimizes Kernel Correlation Filter (KCF) with execution parallelism parameters, and compares it with inter-processor Communication (IPC). This paper aims at the KCF algorithm on the TMS320C6678 platform for the multi-core parallel development of the above two methods. With multiple data-sets, the results are all higher than 60 frames/s. With physical verification by connecting the video board, parallel scheme based on Open MP can achieve a tracking effect of 75 FPS, which has certain engineering practical significance.