Parking lot management and control method and device based on target activity prediction and electronic equipment

Abstract

The invention discloses a parking lot management and control method and device based on target activity prediction, electronic equipment and a storage medium. The method comprises the steps of obtaining a scene video for a parking lot; generating a space and / or graph model of a parking lot by detecting and tracking a target in a scene video, wherein the space and / or graph model represents a space position relationship of a target in the scene video; utilizing a sub-activity extraction algorithm for the space and / or graph model to obtain a sub-activity label set for representing the activity state of the concerned target; inputting the sub-activity label set into a pre-obtained time and / or graph model to obtain a prediction result of future activities of the concerned target in the parking lot, wherein the time and / or graph model is obtained by utilizing a pre-established activity corpus of a target of the parking lot; and sending control information to corresponding equipment of the parking lot based on the prediction result of the future activity of the concerned target. Activity of the target in the parking lot can be accurately and rapidly predicted so that the objective of effective management and control of the parking lot can be realized.

Description

technical field [0001] The invention belongs to the field of parking lot management, and in particular relates to a parking lot management and control method, device and electronic equipment based on target activity prediction. Background technique [0002] The parking lot is a crowded place with crowds and motor vehicles. In order to ensure safety and implement effective control, video surveillance equipment is usually used to monitor the status of the parking lot. [0003] By detecting and analyzing the surveillance video, the current behavior status of each target in the parking lot can be obtained. However, this detection technology belongs to post-event detection, and cannot predict the activities of the target in the future, so it cannot respond to future activities in time, or cannot avoid safety incidents in time, such as vehicle collisions. Therefore, effective management and control of the parking lot cannot be realized. Contents of the invention [0004] The ...

AI Technical Summary

Problems solved by technology

However, this detection technology belongs to post-event detection, and cannot predict the activities of the target in the future, so it cannot respond to future activities in a timely manner, or cannot avoid the occurrence of safety incidents in time, such as vehicle collisions, etc.

Therefore, it is impossible to achieve effective control of the parking lot.

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