期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：252
期号：3
页码：1-8
DOI：10.1088/1755-1315/252/3/032131
出版社：IOP Publishing
摘要：To detect the number of passengers in an elevator based on computer vision technology, image preprocessing and human contour detection algorithms were proposed. After the target image was edge-detected and morphologically eroded, a binary image containing only human targets was obtained. The edges of the image were detected using canny operator, it was most suitable for the edge detection of the human body contour in elevator. Person counting was mainly performed by using morphological mark outline connection area counting method. According to the algorithm flow chart, the real elevator monitoring video was tested and verified. The number of people with fewer numbers (less than 10 persons) was highly accurate.
