A method and device for detecting the number of people in a fixed area

Abstract

The present invention provides a method and device for detecting people in a fixed area, wherein the method includes: obtaining the current observed store entry rate and the current observed store exit rate in the detection period; Calculate the length of time in the store for the people who have both the behavior of entering the fixed area and the behavior of leaving the fixed area, and calculate the cumulative distribution function of the length of time in the store; calculate the time between the start of each detection cycle and the current time. The monitoring equipment recognizes only entering the fixed area The unbiased estimate of the people who act but did not leave the fixed area; the number of people in the current fixed area is corrected according to the unbiased estimate of the store, and the accurate number of people in the current fixed area is obtained, which improves the detection of the number of people in the fixed area. 's accuracy.

Description

technical field [0001] The present invention relates to the field of information technology, and more specifically, to a method and device for detecting the number of people in a fixed area. Background technique [0002] With the rapid development of information technology, people continue to explore the value of data. For fixed areas equipped with monitoring equipment, such as stores and supermarkets, real-time detection of the number of people in the store can help operators better understand the current heat, consumption and flow of people in the store. links. [0003] At present, monitoring equipment, such as cameras, is used to capture the walking track of each customer in real time, detect the customer's in-store and out-of-store behavior, and then count the number of people in the store. When the customer's in-store behavior is detected, the number of people in the store increases. One, when the customer's out-of-store behavior is detected, the number of people in t...

AI Technical Summary

Problems solved by technology

However, since the monitoring equipment cannot cover all angles, some customers' in-store and out-of-store behaviors cannot be captured, or only in-store or out-of-store behaviors are detected, resulting in a certain error between the detected number of people in the store and the actual situation.

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