Binocular Vision Based People Flow Analysis Method
A technology of binocular vision and analysis method, applied in the field of people flow analysis based on binocular vision, can solve the problems of not being able to understand the real situation of the respondents in real time, various analysis interference of visitors, and inaccurate information, etc. The effect of service quality and level, high accuracy and high implementation efficiency
Inactive Publication Date: 2019-04-19
BEIJING UNION UNIVERSITY
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[0004] At present, most museums use questionnaires for visitors. This method can only obtain information through written questionnaires or online questionnaires. However, this method of obtaining information is not only time-consuming and labor-intensive, but also the information obtained depends on the respondents. Factors such as herd mentality, misinterpretation of the question by the respondent or non-cooperation of the respondent can easily lead to inaccuracy, which interferes with the analysis of the visitors, and more importantly, it is impossible to understand the truth of the respondent in real time. Happening
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[0033] Such as figure 2 The hardware environment for implementing the binocular vision-based crowd flow analysis method of the present invention is: a binocular vision sensor 10 is installed at the booth 20 where exhibits 40 are placed, and the binocular vision sensor 10 is generally installed above the booth 20, and the booth 20 is in the In the set visiting area 50, the binocular vision sensor 10 is used to shoot the scene within the range of its angle of view at the set shooting interval in the set shooting time to obtain a pair of stereoscopic images. In actual implementation, the stereoscopic image The resolution is preferably greater than 640×480 pixels, and the viewing angle range of the binocular vision sensor 10 is different from the set viewing area 50 but the viewing angle range should cover the set viewing area 50 .
[0034] Such as figure 1 and figure 2 As shown, the people flow analysis method based on binocular vision of the present invention comprises the f...
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The invention discloses a method for analyzing crowd flow based on binocular vision, which includes stereo image pair acquisition; image preprocessing; human face detection; human body positioning; visitor number statistics, visit time statistics, gender identification and age estimation; Analysis of the flow of people in the set visiting area. The present invention can be applied to various public exhibition places such as museums, collect and analyze relevant information of visitors in front of each exhibit in the public exhibition place, realize the purpose of counting and analyzing people flow, and has high real-time performance, high accuracy, and high implementation efficiency. Features, help to truly understand the behavioral characteristics of visitors, provide reliable data basis for various analysis, and help public exhibition venues improve their service quality and level.
Description
technical field [0001] The invention relates to a human flow analysis method based on a binocular vision sensor, which is applicable to various public exhibition places such as museums. Background technique [0002] Museums are public welfare institutions that undertake the functions of exhibition, education, research, and entertainment in social and cultural activities. They can enrich the amount of information contained in exhibits and carry the development process of human civilization. Visiting museums can not only enrich knowledge and broaden knowledge, but also relax and delight the body and mind. Therefore, it has become a place for people to study and relax. [0003] With the rapid development of science and technology and modern people's continuous pursuit of spiritual and cultural life, the service quality and level of museums can no longer meet the requirements of the times. What types of exhibits are visitors interested in, what types of exhibits are visitors of...
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IPC IPC(8): G06K9/00
CPCG06V40/178G06V40/166G06V40/168G06V40/172
Inventor 袁家政刘宏哲赵霞
Owner BEIJING UNION UNIVERSITY