A Pixel-Weighting Method for Discriminating Objects of Different Sizes in an Image Captured from a Single Camera

Mook-Kwang Park, Namsu Moon, Sang-Gyu Ryu, Jeongpyo Kong, Yongjin Lee, Wangjin Mun
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引用次数: 2

Abstract

A novel method of pixel-weighting is proposed to calculate the size of a detected object in an image captured using a single camera. The calculated object size does not vary significantly regardless of the location of the object in an image, which allows it to be effectively utilized in a vision-based surveillance sensing algorithm as a meaningful feature for discriminating human intruders from other objects. Experimental results show the feasibility of the proposed method.
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一种像素加权方法在单个相机捕获的图像中区分不同大小的目标
提出了一种新的像素加权方法来计算单相机图像中被检测物体的大小。无论物体在图像中的位置如何,计算出的物体大小都不会发生显着变化,这使得它可以有效地用于基于视觉的监视传感算法,作为区分人类入侵者和其他物体的有意义的特征。实验结果表明了该方法的可行性。
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