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Crowd video analysis method and system

A video analysis and crowd technology, applied in the field of intelligent analysis, can solve the problems of not being able to extract the characteristics of people, not being able to find the intersection of people with crowd characteristics, and not having a long time of video collection and analysis, so as to improve accuracy and ensure accuracy , the effect of accurate and fast classification

Active Publication Date: 2016-12-07
HANGZHOU HIKVISION DIGITAL TECH
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Problems solved by technology

[0003] Both of the above two modes do not have long-term video collection and analysis, and cannot extract the characteristics of personnel in a designated area, nor can they compare the characteristics of personnel across regions to determine whether they belong to the same group or familiar people. In the application scenario of scalpers, using the above two modes, it is impossible to analyze the scalpers in a day's video, and it is also impossible to find the intersection of personnel through the characteristics of crowds that appear in different areas.

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  • Crowd video analysis method and system

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Embodiment Construction

[0068] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0069] Cluster analysis is an important human behavior. It is a statistical analysis method for studying (sample or index) classification problems, and it is also an important algorithm for data mining. Clustering is to divide a data set into different classes or clusters according to a certain standard (such as distance criterion), so that the similarity of data objects in the same cluster is as large as possible, and th...

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Abstract

The invention relates to a crowd video analysis method and system. According to the method and the system, human body attributes and corresponding temporal-spatial information in a predetermined time are acquired; the human body attributes are classified based on the temporal-spatial information; and persons with temporal-spatial correlativity or behavior correlativity are extracted. The method and the system are capable of performing continuous analysis on video information, judging out relationships between the persons and time and between the persons and places as well as relationships between the persons, and effectively analyzing a mutual relationship among personnel gathering frequently, so that a result is accurate and the applicability is wide.

Description

technical field [0001] The invention relates to field intelligent analysis technology, in particular to a crowd video analysis method and system. Background technique [0002] In the prior art, two modes are usually used when analyzing the relationship between frequently gathered people. The first mode is to judge the number of people appearing in a designated area in one frame or several adjacent frames of data. The result of the judgment is only a single As a result, it can only be used for alarm products; another application mode is to perform face recognition or personnel characteristic analysis on people entering designated areas for VIP customers and advertising purposes. [0003] Both of the above two modes do not have long-term video collection and analysis, and cannot extract the characteristics of personnel in a designated area, nor can they compare the characteristics of personnel across regions to determine whether they belong to the same group or familiar people...

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Application Information

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IPC IPC(8): G06K9/62G06T7/00G06T7/20
Inventor 周明耀浦世亮李昕娟郭斌
Owner HANGZHOU HIKVISION DIGITAL TECH
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