Human detection based on explicit skin colour space thresholding and minor motion detection

Divya Joshi, A. Purwar, M. S. Dasgupta
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引用次数: 3

Abstract

In this paper, a novel approach for human presence detection from digital image is presented. This approach is based on combined clue from skin colour and minor motion detection. For skin colour detection, explicit thresholding of CbCr colour channels is used and for minor motion detection morphological differences of multiple consecutive images has been used. MATLAB® is used for processing. Relatively small part of exposed human body in the frame of an image is sufficient for detection. The approach is computationally efficient, potentially real time and robust. The combined technique gives improved performance compared to each individual technique. Location of the object (human) within the frame is also simultaneously identified.
基于显式皮肤颜色空间阈值和微小运动检测的人体检测
本文提出了一种基于数字图像的人的存在检测方法。该方法是基于皮肤颜色和微小运动检测相结合的线索。对于皮肤颜色检测,使用CbCr颜色通道的显式阈值,对于多个连续图像的微小运动检测,使用形态学差异。使用MATLAB®进行处理。在图像框架中暴露的人体相对较小的部分就足以进行检测。该方法计算效率高,具有潜在的实时性和鲁棒性。与单个技术相比,组合技术可以提高性能。物体(人)在框架内的位置也同时被识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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