Queuing state information detection method and system thereof

Abstract

The disclosure relates to a queuing state information detection method and a system thereof. The method comprises the steps that the human body characteristics of images of personnel at the head of the queue and the tail of the queue in the same queue are extracted; the extracted human body characteristics of the personnel at the tail of the queue are added to a characteristic set; the extracted human body characteristics of the personnel at the head of the queue are matched with the human body characteristics in the characteristic set in order; and queuing state information of the queue is acquired according to the result of matching. The system is realized based on the method. According to the method and the system, average business operation time of each queuing personnel can be calculated in a relatively high precision way, statistics can be performed on average queuing time, queuing time of new personnel participating in queuing can be estimated, and even the situation of leaving the queue and jumping the queue of the personnel can be judged through human body characteristic redundant matching so that data support can be provided for decision making of managers, the queuing processing process can be further adjusted and optimized, and the method and the system are especially suitable for an occasion of the application requirement of priority arrangement, such as hospitals and banks.

Description

technical field [0001] The present disclosure relates to a method and system for detecting queuing state information, which combines tracking and identification technologies of multiple cameras to obtain the current queuing state. Background technique [0002] In the current queuing time detection system not based on face technology, wireless transmission methods such as RFID or NFC are usually used to determine the time when people enter and exit the queue. Through timestamp comparison, although this method can measure the waiting time of the queue, for applications that need to bind personnel information, this method cannot perform human body calibration and identification when obtaining personnel entering or exiting, and can only be used in a statistical sense data collection. In practical problems, for example, under the application requirements of prioritization, such as hospitals and banks, only when time detection and personnel calibration information are bound can b...

AI Technical Summary

Problems solved by technology

Such systems can only estimate the queuing time, and cannot obtain other information about the queue (such as gender, age, race, etc.)

Since this type of system does not consider special situations such as jumping in and leaving the queue in the middle of the queue, it is not only unable to detect such special situations, but also unable to accurately count the queuing time

In addition, due to various reasons such as lighting and occlusion, the existing face detection and recognition algorithms cannot be completely accurate, which further leads to the fact that the current queuing system based only on faces cannot accurately obtain the queuing time

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