Special human body recognition method based on head and shoulder model

Abstract

The invention relates to a special human body recognition method based on a head and shoulder model, belonging to the fields of pattern recognition and artificial intelligence as well as computer vision. In the invention, a camera is adopted as a video collector, and an industrial personal computer is used as a video processing device. The method comprises the steps of firstly detecting a movement object, counting the human body number in the obtained binary images of the movement object and extracting the head and shoulder models of the human bodies, and numbering in sequence if a plurality of human bodies exist; sequentially extracting the invariant moments of the head and shoulder models of the human bodies according to numbers, classifying the head and shoulder models into front backsor side surfaces according to classification standards; and realizing the recognition on specific human bodies and outputting a recognition result by respectively using the trained front back KNN (K-nearest neighbor) classifier or side surface KNN classifier for classification according to the classification of the head and shoulder models of the human bodies. The use of the special recognition method can well improve the recognition accuracy.

Description

technical field [0001] The invention belongs to the fields of pattern recognition, artificial intelligence and computer vision, and in particular relates to a specific human body recognition method based on a head and shoulder model. Background technique [0002] In recent years, human visual analysis has become an important research field of computer vision, and human body recognition in video is one of the popular research directions, which is widely used in indoor video surveillance, mobile robot human tracking, etc. [0003] Most of the current methods cannot recognize the human body well when the human body is incompletely occluded, and can only simply identify people and non-humans, and cannot recognize specific human bodies. [0004] Some existing methods perform human body recognition based on features such as the outline, length, minimum circumscribed rectangle, perimeter, and area of ​​the target. This type of method is relatively simple for identifying whether the...

AI Technical Summary

Problems solved by technology

Due to the non-rigid motion of the human body and the influence of factors such as mutual occlusion between human bodies and between human bodies and objects, human body detection has become a very challenging subject.

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