Human body target identifying and tracking method based on stereoscopic vision technology

Abstract

The invention discloses a human body target identifying and tracking method based on stereoscopic vision technology. The method comprises the following steps: simultaneously obtaining pictures of the same scene from two different angles by two cameras to form a stereo image pair; determining internal and external parameters of the cameras by marking the cameras, and establishing an imaging model; adopting a window-based matching algorithm to create a window with a to-be-matched point of one image as the center, creating the same sliding window on the other image, sequentially moving the sliding window along an epipolar line with a pixel point as the unit, calculating a window matching degree, finding an optimal matching point, obtaining three-dimensional geometrical information of a target by the parallax principle, and generating a depth image; distinguishing head and shoulder information by using a one-dimensional maximum entropy threshold segmentation method and gray features; and tracking the human body target by using an adaptive gate tracking method, and obtaining a target track. By adoption of the human body target identifying and tracking method based on the stereoscopic vision technology disclosed by the invention, accurate identification of the human body target and tracking counting are realized, background noise is effectively removed, and the interference of the environment is avoided.

Description

technical field [0001] The invention relates to a human body target tracking method, in particular to a human body target recognition and tracking method based on stereo vision technology. Background technique [0002] With the rapid improvement of computer storage and computing performance, people are gradually using computers to realize complex functions such as scene reconstruction, target recognition, and human-computer interaction. This not only expands the scale and research direction of computer applications, but also promotes The rapid development of related disciplines. As an active research field today, the essence of computer vision is to use cameras instead of human eyes and computers to replace the brain to identify and track targets, and make corresponding graphic analysis and processing to generate images suitable for instrument detection or human eye observation. Video technology can continuously transmit images for a period of time, containing more detailed...

AI Technical Summary

Problems solved by technology

At present, there are still many commonly used methods for human body recognition: methods based on human body models and structural elements. The real-time requirements are high; the method based on wavelet transform and support vector machine is mainly based on the principle of wavelet template, which needs to search the entire image according to different scales, which requires a large amount of calculation

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