Crowd safety index calculation method based on image recognition technology and crowd safety index calculation device thereof

Abstract

The invention provides a crowd safety index calculation method based on an image recognition technology, and relates to the field of pedestrian safety. According to the crowd safety index calculation method based on the image recognition technology, video images are acquired through a camera preset in a monitoring area, three parameters of the crowd density index, the crowd movement consistency index and the crowd movement speed index are extracted from the video images, and the crowd safety index is finally calculated by using the three parameters. The crowd safety index objectively reflects the probability of safety problems in the specific subarea within the scheduled time in the future. The crowd movement speed index and the crowd movement consistency are considered and then the crowd safety index can be more objectively and accurately estimated so that a great basis is provided for subsequent determination of an evacuation scheme.

Description

technical field [0001] The invention relates to the field of pedestrian safety, in particular to a method and device for calculating crowd safety index based on image recognition technology. Background technique [0002] Whether in the production process or in general life, safety issues have always been the most important issues. For example, in the production process, protective clothing and other equipment will be used to ensure the safety of staff; and in daily life, roadside guardrails and signal lights on roads will be used to ensure the safety of pedestrians . [0003] With the development of electronic information technology, in addition to the above-mentioned way of ensuring personnel safety through the use of protective devices, security methods based on video surveillance technology and mobile terminal positioning technology have also emerged. [0004] There are usually two methods of security assurance based on video surveillance technology. The first method is...

AI Technical Summary

Problems solved by technology

For example, the way of manual viewing of video is greatly affected by human factors, and it is difficult to monitor the video screen in time when people are sleepy; The accuracy of the safety index is low, which is not practical; another example is the mobile terminal positioning technology. The premise of this method is that each user must carry a mobile terminal, and it is difficult to accurately determine the coverage of the base station and wifi. Terminal positioning technology is not ideal

[0007] To sum up, the above methods all determine the crowd safety index based on the number of people within the specified range. This method of determining the crowd safety index is not accurate enough, which will directly affect the accuracy of subsequent determination of the relief plan.

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