Video analysis based recognition method and device

Abstract

The invention discloses a video analysis based recognition method and device. The recognition device comprises a video preprocessing module, an identity library module, a tracking and detecting module and an alarm information module, and is characterized in that the video preprocessing module is used for acquiring a video data packet, converting the data packet into an image and performing binarization processing on the image; the identity library module is used for extracting personnel identity attribute information and personnel key part feature information, storing the personnel identity attribute information and the personnel key part feature information in a separated manner and forming a personnel identity library; the tracking and detecting module is used for tracking and extracting feature target information of personnel key parts on the binary image, comparing the extracted feature target information with personnel key part features in the personnel identity library and acquiring a judgment result; and the alarm information module is used for storing and pushing the judgment result in a mode of setting data types. The recognition device solves a problem of recognition and warning for strangers, the image processing efficiency is high, a lot of storage space is saved, the cost is low, a personnel management and control solution is provided for a video monitoring service in special areas, and early warning for abnormal events and convenient query after the events are achieved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an identification method and device based on video analysis. Background technique [0002] With the development of society and the increase of personnel mobility, the control of personnel in key areas or entrances and exits will serve as an early warning for the discovery of abnormal events. Traditional video surveillance uses manual processing in long-term video sequence images, which can only be regarded as a tool to provide evidence-based recording after the event, and cannot play an early warning role. Moreover, the deployment cost is high, and monitoring management is cumbersome, which is neither practical nor economical. [0003] In recent years, with the frequent occurrence of security incidents, most traditional security video surveillance solutions do not have the ability to predict in advance, and lack of overall planning in the implementation process. In addit...

AI Technical Summary

Problems solved by technology

Traditional video surveillance uses manual processing in long-term video sequence images, which can only be regarded as a tool to provide evidence-based recording after the event, and cannot play an early warning role. Moreover, the deployment cost is high, and monitoring management is cumbersome, which is neither practical nor economical.

[0003] In recent years, with the frequent occurrence of security incidents, most traditional security video surveillance solutions do not have the ability to predict in advance, and lack of overall planning in the implementation process. In addition, there are many video surveillance system manufacturers and complex brands, which leads to a large number of Heterogeneous and heterogeneous security video surveillance systems coexist, and at the same time, security video surveillance is not integrated with data in information application systems such as government affairs, transportation, and communities. A large number of video data resources collected or stored by video surveillance systems have not been effectively utilized. It seems that in the process of building a safe city, there is a lack of necessary metadata resources

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