Human body target identification method based on three-dimensional visual technology

Abstract

The invention discloses a human body target identification method based on three-dimensional visual technology. The human body target identification method comprises steps that two pick-up heads are used to acquire the image of the same scene from two different angles, and a three-dimensional image pair is formed; video camera calibration is used to calibrate and determine an internal parameter and an external parameter of a video camera, and an imaging model is determined; by adopting a matching algorithm based on a window, the window is created by taking the to-be-matched point of one of the images as a center, and the same sliding window is created on the other image, and the sliding window moves sequentially along an epipolar line by taking pixel points as units, and a window matching measuring degree is calculated, and an optical matching point is found, and then the three-dimensional geometric information of the target is acquired by adopting a parallax error principle, and then a depth image is generated; by adopting a one-dimensional maximum entropy threshold segmentation method, and by combing with a gray scale characteristic, head part information and shoulder part information are distinguished, and a human body target is identified. The human body target identification method is advantageous in that calculation amount is small, and the human body target is identified quickly and accurately by using simple images.

Description

technical field [0001] The invention relates to a human body target recognition method, in particular to a human body target recognition 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 informati...

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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