协同内禀图像和垂直投影直方图集成检测

Yongxin Dong, Jingling Wang, Qin Zhang
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引用次数: 0

摘要

本文采用协同垂直投影直方图和基于主轴积分的图像序列检测方法。固有图像的传统检测方法提出背景与前景的关系为乘法,在对数域中这种关系为加法。在多目标图像序列中,该方法与垂直投影直方图相结合,可以相互检测个体。与传统的背景减法和高斯混合模型法进行了对比,实验结果验证了该方法的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection by collaborative intrinsic images and vertical projection histogram integration
This paper detects image sequences using a method by collaborative vertical projection histogram and principal axis-based integration. Instead of the conventional detection method intrinsic images proposes the relation of background and foreground is multiplication, in log domain this relation becomes addition. In the multi-target image sequence, the method combined with vertical projection histogram can detect individuals from each other. Compared with the traditional background subtraction method and gaussian mixture model method,the experimental results verify the effectiveness and advantage of the method.
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