CAJ | 학술논문

在复杂环境下，传统前景目标检测算法无法有效区分背景场景中局部区域动态变化所产生的虚影。为解决该问题，提出一种基于YUV色彩空间和改进码本模型的虚影消除算法。从虚影的形成原理出发，分别对前景和背景进行建模和更新，使得前景、背景可以在预设参数的控制下完成相互转换。实验结果表明，该算法能够准确地消除3种不同的虚影，且能满足实时性需求，为后续的前景目标识别消除干扰。
재복잡배경하，전통전경목표검측산법무법유효구분배경장경중국부구역동태변화소산생적허영。위해결해문제，제출일충기우YUV색채공간화개진마본모형적허영소제산법。종허영적형성원리출발，분별대전경화배경진행건모화경신，사득전경、배경가이재예설삼수적공제하완성상호전환。실험결과표명，해산법능구준학지소제3충불동적허영，차능만족실시성수구，위후속적전경목표식별소제간우。
Virtual shadow is kind of false foreground which is produced by the partial change of the background. As common foreground detection algorithm is hard to identify the virtual shadow in complex environment, a virtual shadow elimination algorithm based on improved codebook model in YUV color space is proposed. Algorithm starts from the production principle of the virtual shadow, and separately models the foreground and background. And a conversion is designed for converting the foreground to background under the control of the preset parameter. Experimental results show that on three categories of ghost the algorithm can quickly and accurately remove the ghost and run in real time. The proposed algorithm is helpful for the foreground object identification.