Method and system for estimating population density and mobility based on multi-data fusion

Abstract

The invention relates to a method and a system for estimation of population density and mobility based on multi-data fusion. The method comprises the steps of making a map of a monitoring area, combining with mobile terminal information, and establishing a mobile terminal information environment database; carrying out wireless positioning on the mobile terminal to obtain wireless data; carrying out population positioning on the monitoring area covered by video monitoring, and obtaining video monitoring data; and fusing the wireless data, the monitoring data and the monitoring data of other equipment in the monitoring area, and estimating the population number, the density, the distribution and the flowing tendency in the monitoring area. According to the method and the system, through setting of the mobile terminal information environment database, adoption of a wireless positioning mode and a video positioning mode, and combination with the mobile terminal information environment database, the wireless data and the video monitoring data are acquired, the data monitored by the other equipment in the monitoring area is matched, and the data in the three aspects can be fused, so thatpopulation mobility estimation is carried out through maximum utilization of the existing facilities, the estimation accuracy is high, and the application range is wide.

Description

technical field [0001] The present invention relates to the technical field of estimation of population density and mobility, and more specifically refers to a method and system for estimating population density and mobility based on multi-data fusion. Background technique [0002] Population density, distribution and flow trends are important basis for daily management and decision-making, security management, traffic planning, etc. in large public places, such as shopping malls, shopping centers, squares, airports and stations. Some public places will gather a large number of people during holidays or large-scale activities. How to accurately measure and estimate the population density and flow direction, discover safety risks in advance and give early warning has always been an important problem in public safety management. In addition, in some public places, such as subway stations and large-scale event venues, estimating population density and flow direction can not onl...

AI Technical Summary

Problems solved by technology

[0003] The existing technology mainly relies on two methods to obtain population density, distribution and flow trends. One is video surveillance, which uses video surveillance to obtain video signals and uses manual or image analysis techniques to estimate population density, distribution, and flow trends, and realizes individual monitoring. Identification and tracking of individuals, this type of method is easily affected by factors such as small video surveillance coverage area, easy signal occlusion, light changes, etc., and it is difficult to achieve accurate estimation when the population density is high. When multiple surveillance cameras capture the same individual It is also difficult to accurately identify different sides, so the efficiency of this type of technology is low and it is difficult to achieve full coverage of the monitoring area; the second is wireless signal monitoring technology, which captures the wireless signal of the mobile terminal device carried by the human body, Such as WI-FI signal, Bluetooth signal or cellular network signal, realize the positioning of a single individual and the estimation of population density, distribution and flow trend. Carrying mobile terminal equipment, carrying one or more mobile terminal equipment, etc.) and the response speed of different mobile terminal equipment to wireless signals and other factors, the accuracy is low

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