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A recognition method and system for dynamically adjusting comparison order based on occurrence probability

A technology of occurrence probability and dynamic adjustment, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as waste of energy, slow recognition speed, waste of system time, etc.

Inactive Publication Date: 2016-12-07
吴玉平 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The disadvantage of the existing technology is: the face recognition of the entrance and exit video surveillance of the monitoring area adopts a face database with fixed face data, and the two databases are generally the same
Unnecessary face recognition comparisons are performed, system time is wasted, recognition speed is slow, and energy is wasted by invalid calculations

Method used

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  • A recognition method and system for dynamically adjusting comparison order based on occurrence probability
  • A recognition method and system for dynamically adjusting comparison order based on occurrence probability
  • A recognition method and system for dynamically adjusting comparison order based on occurrence probability

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Embodiment Construction

[0028] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and understandable, the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments:

[0029] Such as figure 2 As shown, in the scheme of the present invention, the face data comparison sequence is arranged according to the order of appearance probability from high to low, and the state diagram when it is detected that a person A enters the monitoring area.

[0030] Such as image 3 As shown, in the scheme of the present invention, the face data comparison sequence is arranged according to the order of appearance probability from high to low, and the state diagram when it is detected that a person A leaves the monitoring area.

[0031] Such as Figure 4 As shown, the scheme of adopting dynamic face database and adjusting comparison sequence based on the probability of occurrence to carry ou...

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Abstract

The invention provides an identification method and a system for dynamically adjusting a comparison sequence based on the probability of occurrence. The method comprises the steps of: (1) analyzing a law of time when a person enters a monitoring area so as to determine the probability of occurrence of the person enters the monitoring area in each time period; (2) analyzing a law of time when the person leaves the monitoring area so as to determine the probability of occurrence of the person leaves the monitoring area in each time period; (3) determining a comparison sequence C according to the probability of occurrence from high to low on the basis of the time period when the person enters the monitoring area; (4) comparing according to the comparison sequence C when identification is carried out on faces acquired by an entrance video monitoring system of the monitoring area; (5) determining a comparison sequence D according to the probability of occurrence from high to low on the basis of the time period when the person leaves the monitoring area; and (6) comparing according to the comparison sequence D when identification is carried out on faces acquired by an exit video monitoring system of the monitoring area.

Description

technical field [0001] The invention relates to the field of intelligent and real-time area security monitoring, in particular to an identification method and system for dynamically adjusting the comparison sequence based on the occurrence probability. Background technique [0002] The existing technology uses static face data, and the face database with fixed face data is used when the video surveillance system at the entrance of the monitoring area is used for face recognition; the face database with fixed face data is also used when the video surveillance system at the exit of the monitoring area is used for face recognition. database; and the entrance and exit video surveillance face recognition of the monitoring area uses basically the same face database. [0003] The face comparison in the face recognition process is random and unordered, or depends on the order of face data in the face database. Such as figure 1 In the system shown, there are face data of N people i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/64
Inventor 吴玉平白勇
Owner 吴玉平