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Zero-variance minibatch Monte Carlo for pixel-wise visual tracking
Electronics Letters ( IF 0.7 ) Pub Date : 2020-09-01 , DOI: 10.1049/el.2020.1900
J. Park 1 , J. Kwon 1
Affiliation  

In this study, the authors present a novel visual tracking method using the pixel-wise posterior estimation and minibatch Monte Carlo sampling. To avoid background pixels in the noisy bounding box representation, they estimate the posteriors in a pixel-wise manner. To boost the pixel-wise posterior estimation, they adopt minibatch Monte Carlo sampling, where only a small portion of pixels are used for inference. Experimental results demonstrate that the proposed visual tracker produces accurate tracking results using a small portion of pixels for the posterior estimation and is comparable to state-of-the-art methods.

中文翻译:

用于像素级视觉跟踪的零方差小批量蒙特卡罗

在这项研究中,作者提出了一种使用逐像素后验估计和小批量蒙特卡罗采样的新型视觉跟踪方法。为了避免嘈杂的边界框表示中的背景像素,他们以像素方式估计后验。为了提高逐像素后验估计,他们采用小批量蒙特卡罗采样,其中只有一小部分像素用于推理。实验结果表明,所提出的视觉跟踪器使用一小部分像素进行后验估计产生准确的跟踪结果,并且与最先进的方法相当。
更新日期:2020-09-01
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