Clothing Color Based De-Identification

J. Prinosil
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引用次数: 2

Abstract

Color of clothing can be easily used in the process of people identification as a non-biometric trait. This trait would be modified appropriately to preserve personal anonymity in social media or in video surveillance systems. This paper deals with a proposal of new method for clothing color de-identification in image records. The method consists of silhouette segmentation and clothing color segmentation algorithms. The de-identification is done by modifying components of HSV color space upon segmented clothing. The process of de-identification is reversible, i.e. original clothing color can be restored in case of transformation parameters that were used are known.
基于服装颜色的去识别
服装颜色作为一种非生物特征,在人的身份识别过程中很容易被利用。这一特性将被适当修改,以在社交媒体或视频监控系统中保持个人匿名。提出了一种图像记录中服装颜色去识别的新方法。该方法由轮廓分割算法和服装颜色分割算法组成。去识别是通过修改分割服装上的HSV色彩空间分量来实现的。去识别的过程是可逆的,即在已知所使用的变换参数的情况下,可以恢复原来的服装颜色。
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