A Altitude Measurement Method Based on Video Multi-Target Tracking

Abstract

The invention discloses a height measurement method based on video multi-target tracking. The method includes the following steps that background modeling is conducted on video sequences collected by a camera, and foreground images are extracted through background subtraction; each frame image is mapped into an undirected network diagram G=<V, E>; an energy function is built; the built energy function is minimized, and label values of pixels of the current frame image are acquired, wherein the pixels belong to different targets and backgrounds,; different colors are given to the pixels which belong to the different targets, and a tracking frame of the multiple targets is determined; a vanishing point Vy where the camera is perpendicular to the horizontal plane and a vanishing line l of the horizontal plane are calculated; head feature points and foot feature points of the target to be detected in each frame image are extracted; the height of the targets to be detected in each frame image is calculated; the height measurement results of the multi-frame video sequences are merged, and the actual height of the targets to be detected is determined. According to the method, the camera does not need to be completely marked, only the vanishing point and the vanishing line of the horizontal plane need to be calculated, and therefore calculation complexity is reduced.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a height measurement method based on video multi-target tracking. Background technique [0002] Video-based human body height measurement technology is a new technology in the field of computer vision, and has a wide range of applications in the fields of intelligent video surveillance, 3D reconstruction and virtual reality. Human height is one of the important parameters for identifying people. Therefore, video-based human height measurement has attracted more and more attention from researchers at home and abroad in recent years. Classified according to the number of video sensors, the video-based height measurement technology can be divided into: monocular measurement, binocular measurement and multi-eye measurement; among them, binocular measurement and multi-eye measurement both involve the registration problem between images. The first problem is a difficult problem in the ...

AI Technical Summary

Problems solved by technology

Most of the existing monocular human body height measurement methods are based on a single still image. These methods have high requirements for the measurement environment and the target to be measured. For example, the person to be measured must remain still and upright. With the wide application of monitoring systems, the measurement of human body height based on still images has been unable to meet people's actual needs

In addition, most of the existing monocular human body height measurement algorithms can only measure the height of a single target, and cannot measure the height of multiple targets at the same time

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