Moving target active sensing method and device based on multi-camera cooperation

Abstract

The invention provides a moving target active sensing method and device based on multi-camera cooperation. The method comprises the steps of carrying out calibration according to a master camera imageand a slave camera image and establishing a position mapping relationship; monitoring moving targets in the master camera image in real time, thereby obtaining a candidate target set; selecting candidate targets according to target importance and selecting a slave camera for tracking photographing according to the position mapping relationship; calculating a lens azimuth angle and zoom times, adjusting the slave camera to align with candidate target areas, and obtaining high-quality images of the candidate targets; and analyzing classes of the candidate targets according to the high-quality images, confirming the targets belonging to preset types as interested targets, and placing the interested targets into an interested target set. According to the device and the method, through utilization of the position corresponding relationship between a master camera and the slave camera, the slave camera is called to obtain the high-quality images of the candidate targets in the master cameraimage, target image features are extracted, the target classes are confirmed, and the targets are confirmed actively.

Description

technical field [0001] The invention relates to an imaging method and device in a multi-camera monitoring system, in particular to a method and device for active target perception based on multi-camera coordination, belonging to the field of video monitoring. Background technique [0002] Nowadays, all kinds of video surveillance equipment are widely used in production and living environments. An important task of video surveillance is to discover and record the target in the scene, and further, to discover and record key information about the identity of the target, so as to provide help for the subsequent identification of the identity information of the target. The face, license plate, vehicle annual inspection mark, etc. captured by the camera can be used to determine the identity of the target, which is the part that contains the unique description information of the target. The camera captures more unique description information, which can help identify the target ide...

AI Technical Summary

Problems solved by technology

However, due to scenario requirements, this type of system can only be deployed in a few places such as toll checkpoints and building entrances and exits, and its application scenarios are limited.

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