A real-time location algorithm for critical points based on TMS320C6678

Hanyu Hong; Huiyuan Chen

doi:10.1117/12.2538187

14 February 2020 A real-time location algorithm for critical points based on TMS320C6678

Hanyu Hong, Huiyuan Chen

Proceedings Volume 11429, MIPPR 2019: Automatic Target Recognition and Navigation; 114290K (2020) https://doi.org/10.1117/12.2538187
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

This paper analyzes the importance of real-time identification of key parts of non-cooperative targets in military applications, and proposes the shortcomings of current target detection algorithms, and a real-time localization algorithm for target points based on TMS320C6678 parallel processing. The algorithm firstly locates the approximate position of the target by down sampling and horizontal vertical projection of the original image, then locates the target key points by polar coordinate transformation and target edge curvature solution, and combines the multi-core of TMS320C6678 DSP to optimize the algorithm. Finally, the algorithm is parallel optimized on the TMS320C6678 multi-core DSP hardware platform, which can accurately locate the target parts within 5ms.

Citation Download Citation

Hanyu Hong and Huiyuan Chen "A real-time location algorithm for critical points based on TMS320C6678", Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 114290K (14 February 2020); https://doi.org/10.1117/12.2538187

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