Human-machine interaction device for target tracking

Abstract

The invention provides a human-machine interaction device for target tracking. The human-machine interaction device comprises helmet equipment, wherein an information processor, a display device, a sight tracking system and a plurality of cameras are arranged on the helmet equipment; the cameras are mounted on the periphery of the helmet equipment and are used for photographing scene videos aroundthe helmet equipment in real time and transmitting the photographed scene videos to the information processor; the sight tracking system is docked with the information processor and is used for tracking the human eye sight of a user and determining the tracking target selected by a user in a tracking scene; and the information processor is used for fusing and splicing the scene videos so as to obtain a 360-degree full-view video and tracking the tracking target determined by the sight tracking system; and the display device is used for receiving and displaying. According to the human-machineinteraction device, a target required to be tracked can be freely selected, and the target object can be detected and tracked without a blind point in a 360-degree manner, so that the tracking loss rate is low, and the precision is high.

Description

technical field [0001] The invention relates to the field of human-computer interaction, in particular to a human-computer interaction device for target tracking. Background technique [0002] Most of the existing target tracking devices are fixed camera devices, which can detect and track target objects in real time from a single angle through the rotation of the fixed camera device. For example, images in the scene are acquired through a fixed camera or a network camera, and the collected image and video data are stored by a processor, and specific algorithms are used to process and analyze the acquired images in real time to quickly detect and track target objects . This target tracking algorithm relies on the selection of the target object, and the selection conditions need to be set in advance through the software. However, in many cases, it may not be possible to detect and track the target object in real time due to angle problems, and its equipment is generally a fi...

AI Technical Summary

Problems solved by technology

This target tracking algorithm relies on the selection of the target object, and the selection conditions need to be set in advance through the software. However, in many cases, it may not be possible to detect and track the target object in real time due to angle problems, and its equipment is generally a fixed device with a relatively large volume. Poor mobility, limited tracking range, unable to effectively track the tracking target

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