Target space positioning method based on single camera

Abstract

The invention discloses a target space positioning method based on a single camera, and belongs to the technical field of intelligent video monitoring. Aiming at the problem that an existing target space positioning technology based on a linear camera model does not consider imaging errors caused by lens distortion, based on the isotropous characteristic of lens distortion, when an ideal linear camera model is used for target space positioning, space positioning auxiliary information such as the position of the camera and geodetic absolute coordinates of a reference point and an identification point of the scene center are obtained by combining a GPS, the position, in an image, of a target is compensated and corrected, and therefore the actual geodetic absolute coordinates of the target can be obtained fast and accurately. Compared with the prior art, the robustness, the real-time performance and the applicability of the target space positioning method are improved greatly.

Description

technical field [0001] The invention relates to a target space positioning method, in particular to a single camera-based target space positioning method, which belongs to the technical field of intelligent video monitoring. Background technique [0002] Video surveillance technology has been widely used in the past ten years. In daily life, various video surveillance systems can be seen in use everywhere, for example, video surveillance systems are usually installed in schools, roads, subways, railway stations, etc. played a major role. With the continuous development of society, people's demand for security continues to increase, especially with the maturity and perfection of computer, network, information and communication, audio and video codec and other technologies, making video surveillance systems continue to be digitized, networked, Intelligent direction development. [0003] In intelligent video surveillance, target location in the scene is a key technology, and...

AI Technical Summary

Problems solved by technology

Today's three-dimensional space positioning technology is mainly based on two camera models, one is a nonlinear model, which considers the nonlinear distortion of the camera lens, and uses the camera's internal and external parameter matrix to solve the problem, which has high computational complexity. It is difficult to apply in positioning. The other is the linear model, which does not consider the error caused by the camera lens distortion, directly uses the principle of small hole imaging, uses the comparison invariance in projective geometry, and forms a three-dimensional space to a two-dimensional model according to the projection ratio. The mapping of two-dimensional images can obtain the three-dimensional space coordinates corresponding to the two-dimensional image coordinates in a relatively short period of time. The disadvantage is that the error is large, and the positioning accuracy cannot be guaranteed.

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