A space personnel positioning device and a method based on a multi-depth camera

Abstract

The invention discloses a space personnel positioning device and a method based on a multi-depth camera, which utilizes a plurality of 3D intelligent depth cameras to work cooperatively to obtain 3D depth images of scenes in the space, and extracts human body objects after distortion correction and 3D depth image enhancement. Then, the depth histogram feature of the head-shoulder region and the spatial density feature of the head region are extracted according to the obtained human body target region. Combined with 2D image and 3D depth image of human head, the convex square similarity featureof head is used to judge whether the locating object is human or not. Then, the coordinates of the center point of the head and the height of the person are calculated by three-dimensional re-projection transformation. Finally, the positioning data of a plurality of depth cameras are weighted and fused and the final positioning information of the space personnel is determined. The invention has the advantages of strong real-time property, easy expansion, accurate data and no need of auxiliary positioning facilities, and has wide application value in the field of area monitoring, VR positioning and human-computer interaction.

Description

technical field [0001] The invention relates to the technical field of space personnel positioning, in particular to a space personnel positioning device and method based on a multi-depth camera. Background technique [0002] Space personnel positioning refers to the realization of human body position positioning in the real environment. The existing positioning of space personnel can be divided into two categories: positioning based on vision and positioning based on non-vision. Non-visual positioning methods mostly use wireless communication, base station positioning, inertial sensors, infrared lasers, etc., with high positioning accuracy, but usually involve complex equipment or systems, and usually require the installation of signal transceivers on people. The vision-based positioning methods mostly use monocular or binocular cameras to obtain scene information. Among them, monocular vision can only acquire two-dimensional images in space, and it is difficult to accura...

AI Technical Summary

Problems solved by technology

Among them, monocular vision can only acquire two-dimensional images in space, and it is difficult to accurately locate the target, and the image quality is greatly affected by the external environment; while binocular stereo vision can realize depth information through corresponding algorithms. Extraction, but it needs to combine dual cameras for joint matching of feature information, the algorithm is relatively complex, the stability is poor, and it is difficult to ensure the real-time performance of complex scene applications

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