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Face recognition heat analysis generation method for dense crowd

A face recognition and dense crowd technology, applied in the field of big data analysis, can solve problems such as classification and classification, inability to provide data sample reference, inaccuracy, etc., and achieve the effect of small system resources, conducive to personnel diversion, and low cost

Active Publication Date: 2018-01-09
新疆荣坤科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] In today's society, there are frequent exchanges of people. There are a large number of video surveillance equipment in crowded areas such as shopping malls, stations, and airports. In social life, the flow of people is dense and complex. It is necessary to plan reasonably the people and places entering and leaving the densely populated areas, and adopt corresponding management and configuration, so that the catering, transportation, and entrances and exits in the densely populated areas can be reasonably configured. When a large number of image features are acquired After the information is collected, the existing technology cannot classify it or the classification is inaccurate, resulting in the inability to provide data sample references when dividing densely populated areas in the later stage, which urgently requires technical personnel in the field to solve corresponding technical problems

Method used

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  • Face recognition heat analysis generation method for dense crowd
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  • Face recognition heat analysis generation method for dense crowd

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Embodiment Construction

[0024] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0025] In describing the present invention, it should be understood that the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientations or positional relationships indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and It is not to indicate or imply that the device or element referred t...

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Abstract

The invention provides a face recognition heat analysis generation method for a dense crowd. The method comprises a step S1 of acquiring human body feature images and face feature images in a dense crowd respectively through an image acquisition module and establishing an initial screening and judgment model, so as to extract personnel attributes into a densely populated area.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to a method for analyzing and generating face recognition heat for dense crowds. Background technique [0002] In today's society, there are frequent exchanges of people. There are a large number of video surveillance equipment in crowded areas such as shopping malls, stations, and airports. In social life, the flow of people is dense and complex. It is necessary to plan reasonably the people and places entering and leaving the densely populated areas, and adopt corresponding management and configuration, so that the catering, transportation, and entrances and exits in the densely populated areas can be reasonably configured. When a large number of image features are acquired After the information, the existing technology cannot classify it or the classification is inaccurate, resulting in the inability to provide data sample reference when the densely populated areas are divided in...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 杨晓凡刘玉蓉
Owner 新疆荣坤科技有限公司
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