People Counting in Elevator Car Based on Computer Vision

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Fan, Honghui^1 ; Zhu, Hongjin^1 ; Yuan, Dongming^2

School of Computer Engineering, Jiangsu University of Technology, Changzhou, China^1

Technology Research and Development Shenzhi Elevator Co., Ltd., Liyang, China^2

关键词: Canny Operators;    Computer vision technology;    Contour detection;    Highly accurate;    Image preprocessing;    Number of peoples;    People counting;    Target images;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/3/032131/pdf
DOI  :  10.1088/1755-1315/252/3/032131

来源: IOP

【 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.