@Article{JFBI-6-285,
author = {Chunguang Liu, Zhiheng Gong, Huijie Zhu, Yanan Liu, Yue Zhou and Zhonghua Han },
title = {A Novel Human Detection Algorithm Based on Foreground Segmentation},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2013},
volume = {6},
number = {3},
pages = {285--292},
abstract = {In computer vision applications, human detection occupies an important position. HOG (Histograms
of Oriented Gradient) is a classical algorithm which was used in the area of object detection. But the
complex background would greatly affect the test accuracy when taking HOG as a human characteristic
for human detection. In order to improve the accuracy of human detection, this paper applied a new
algorithm which was based on foreground segmentation. We could get each closed region by Oriented
Watershed Transform and Ultrametric Contour Map, then the foreground and the background could be
distinguished. Finally we removed the background and calculated the foreground characteristic. The
experimental results show that this approach was effective in improving detection accuracy.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbi09201306},
url = {http://global-sci.org/intro/article_detail/jfbi/4842.html}
}