Wireless camera sensor network position and posture calibration method for wireless camera sensor network

Abstract

The invention discloses a wireless camera sensor network position and posture calibration method for a wireless camera sensor network, and the method comprises the steps: enabling an unmanned plane carrying a photoelectric identification to enter a region covered by the wireless camera sensor network; taking a plurality of pictures comprising the photoelectric identification at equal intervals in a recognition range of one wireless camera sensor; carrying out the decoding of the photoelectric identification, extracting the pictures which have no overlapped view and are taken by the wireless camera sensor at three different moments, solving and obtaining the position and posture information of the wireless camera sensor; carrying out the feature matching of the wireless camera sensors which have an overlapped view, calculating an intrinsic matrix, decomposing and obtaining a rotation matrix; solving and obtaining the position and posture information of the wireless camera sensors which have the overlapped view, and determining the rotation matrix and a translation amount. The method achieves the quick, simple and precise calibration of the wireless camera sensor, and the wireless camera sensor network calibrated through the method can be quickly applied to disaster relief and other situations where the cameras need to be calibrated.

Description

technical field [0001] The invention relates to the technical field of wireless camera sensor networks, in particular to a wireless camera sensor pose calibration method for wireless camera sensor networks. Background technique [0002] In some dangerous disasters, such as fire sites that may explode at any time, sites with flammable, explosive or highly toxic gases, and sites that are prone to secondary collapse of buildings after an earthquake, rescuers cannot go deep. For reconnaissance or rescue, people are eager to detect the internal danger of the disaster scene, but they cannot approach or enter the disaster scene. At this time, the wireless camera sensor network can help rescuers remotely understand the situation at the disaster site, so as to effectively deploy rescue forces in advance. [0003] On the one hand, with the development of sensor network technology, the research on multimedia sensor network represented by wireless camera sensor network has been paid mo...

AI Technical Summary

Problems solved by technology

However, the traditional methods based on moving target recognition often fail to detect due to illumination changes, camera shake, target scale changes, or small differences between different types of target objects.

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