无菌区监测与人工验证

Ajmal Shahbaz, Wahyono, K. Jo
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引用次数: 3

摘要

提出了一种高效的实时人工验证无菌区监测方法。该方法主要包括两个部分:运动检测模块和人体验证模块。运动检测模块的作用是从背景中分割出前景目标。采用基于高斯混合模型(GMM)的概率前景检测器。将运动检测模块得到的感兴趣区域(ROI)输入到SVM分类器中。使用HOG描述符训练SVM分类器。在标准数据集上对该方法进行了测试,结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sterile zone monitoring with human verification
This paper proposes efficient real time method for sterile zone monitoring with human verification. The propose method consists of two main parts: Motion detection module and human verification module. The role of motion detection module is to segment out foreground object from background. Probabilistic Foreground Detector based on Gaussian Mixture Model(GMM) is used. Region of interest (ROI) obtained from motion detection module is fed into SVM classifier. SVM classifier is trained using HOG descriptor. The proposed method is tested on the standard datasets gives promising results.
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