Method for detecting human head and shoulder in video of complicated scene

Abstract

The invention relates to a method for detecting head and shoulders of human body in a video with complex scene, which belongs to the technical field of computer information mining. The method comprises the following steps: manually determining the head and shoulder picture, the background picture and the pictures of other parts of the human body in each frame of a video as the positive and the negative samples, and mirroring the pictures; extracting the gradient vectors of the positive and the negative samples, and training a first classifier; selecting the head and the shoulder picture as the new positive sample, and the pictures of other parts of the human body as the new negative sample; extracting the gradient vectors of the positive and the negative samples, and training a second classifier; determining the position and the size of a window to be detected in one frame of a video frame to be detected, and extracting the gradient vector; classifying the gradient vector by the first classifier, and stopping detection if the classification result is negative; classifying the gradient vector by the second classifier if the first classification result is positive, and determining that the window contains the head and the shoulder if the classification is positive; and changing the position and the size of the window to detect new windows. The method can improve the accuracy as well as the detection speed.

Description

technical field [0001] The invention belongs to the technical field of computer information mining, and in particular relates to a method for detecting the head and shoulders of a human body in a picture of a complex scene, in particular to detecting the head and shoulders of a pedestrian in a frame of a monitoring video in the real world. Background technique [0002] In recent years, in the field of computer video analysis, human body detection in video is a hot research direction. Among the various methods of human body detection, detecting human body by detecting various parts of the body is an important auxiliary means. Of these body parts, the head and shoulders area is a very prominent feature. Since the human body is often partially blocked in the video, it is difficult to detect, and at this time the head and shoulders still have a high probability of being detected, so the detection of the head and shoulders is a good auxiliary function for detecting the human bod...

AI Technical Summary

Problems solved by technology

At present, the international general classifier is mainly support vector machine (hereinafter referred to as SVM), but the current single-stage SVM classifier often has a low accuracy rate due to only one classification.

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