Image-free real-time target tracking by single-pixel detection

Zhao Hua Yang*, Xiang Chen, Zhi Hao Zhao, Ming Yue Song, Ying Liu, Zi Dong Zhao, Hao Dong Lei, Yuan Jin Yu, Ling An Wu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

22 引用 (Scopus)

摘要

Image-based target tracking methods rely on continuous image acquisition and post-processing, which will result in low tracking efficiency. To realize real-time tracking of fast moving objects, we propose an image-free target tracking scheme based on the discrete cosine transform and single-pixel detection. Our method avoids calculating all the phase values, so the number of samples can be greatly reduced. Furthermore, complementary modulation is applied to reduce the measurement noise, and background subtraction is applied to enhance the contrast. The results of simulations and experiments demonstrate that the proposed scheme can accomplish the tracking task in a complex background with a sampling ratio of less than 0.59% of the Nyquist-Shannon criterion, thereby significantly reducing the measurement time. The tracking speed can reach 208 fps at a spatial resolution of 128 × 128 pixels with a tracking error of no more than one pixel. This technique provides a new idea for real-time tracking of fast-moving targets.

源语言英语
页(从-至)864-873
页数10
期刊Optics Express
30
2
DOI
出版状态已出版 - 17 1月 2022

指纹

探究 'Image-free real-time target tracking by single-pixel detection' 的科研主题。它们共同构成独一无二的指纹。

引用此