Target position determination method and device based on multiple cameras and computer equipment

Abstract

The invention relates to a target position determination method and device based on multiple cameras, computer equipment and a storage medium. The method comprises the steps of determining a target object position in a current video frame shot by a current camera through a pre-trained target tracking prediction classifier; if the distance between the target object position and the image edge of the current video frame is smaller than the preset distance, determining the projection position of the target object in the video frame shot by the adjacent camera according to the target object position, wherein the adjacent camera is the next camera adjacent to the current camera; determining a target search area image in the video frame according to the projection position; and inputting the target search area image into a target tracking prediction classifier to obtain a target position of the target object in the video frame. By adopting the method, the position of the target object is tracked and positioned through the plurality of cameras, so that the determination accuracy of the target position is improved.

Description

technical field [0001] The present application relates to the technical field of tracking and positioning, and in particular to a multi-camera-based target position determination method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of computer network technology, digital equipment, and digital storage equipment, it is possible to track and locate target objects (such as people, animals, etc.) through cameras installed in fixed places, unmanned vehicles, drones, etc. Determine the target location of the target object. [0003] However, the current method for determining the target position generally uses a visual tracking algorithm to detect the specified target object in the video captured by a single camera to obtain the target position of the target object in the video; however, the field of view of a single camera is relatively large. Small, and for the target object in a complex scene, its movement is not direct...

AI Technical Summary

Problems solved by technology

[0003] However, the current method for determining the target position generally uses a visual tracking algorithm to detect the specified target object in the video captured by a single camera to obtain the target position of the target object in the video; however, the field of view of a single camera is relatively large. Small, and for the target object in a complex scene, its movement is not directional and unpredictable, that is, the target object is easy to exceed the camera's field of view, resulting in a low accuracy rate of the determined target position

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