Pedestrian track prediction method and device, equipment and storage medium

Abstract

The invention provides a pedestrian track prediction method and device, equipment and a storage medium. A space-time diagram is constructed, the space-time diagram comprises space diagrams corresponding to a current video frame at multiple moments, and the space diagrams comprise target nodes and connection edges between the target nodes. According to node attributes of the target nodes and connection edge attributes of the connection edges, final space attribute values of target objects are determined, the node attributes comprise scene features and track features of the target objects, and the connection edge attributes comprise interaction strength between the two target objects. The time dependency relationship of the target objects is determined according to the final spatial attribute values at the multiple moments. The track of each target object in the video frame with the preset time length is predicted according to the time dependency relationship. Scene features and track features are used as node attributes, interaction strength optimization is carried out according to the node attributes and the connection edge attributes, a final space attribute value is obtained, and the accuracy of a pedestrian track prediction result in a complex scene is improved.

Description

technical field [0001] This application relates to the field of content production and typesetting, and proposes a pedestrian trajectory prediction method, device, equipment and storage medium. Background technique [0002] Pedestrian trajectory prediction is a very popular research direction, which is widely used in various fields such as automatic driving, smart city construction, and monitoring systems. [0003] At present, the pedestrian trajectory prediction method regards pedestrians as nodes of the space-time graph, and the connection between nodes represents the interaction relationship between pedestrians. The reciprocal of the Euclidean distance is used to measure the degree of interaction between two pedestrians. The temporal dependence of each pedestrian, and then predict the trajectory of pedestrians in the future. [0004] However, only using the distance between pedestrians to measure the degree of interaction between two pedestrians in space cannot accuratel...

AI Technical Summary

Problems solved by technology

[0005] This application provides a pedestrian trajectory prediction method, device, equipment and storage medium to solve the problem that the existing technology cannot accurately predict pedestrian trajectory in complex scenes

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