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

A complex scene, head and shoulder detection technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of low accuracy

Active Publication Date: 2009-07-08
TSINGHUA UNIV
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  • Application Information

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.

Method used

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

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Embodiment Construction

[0032] A method for detecting human head and shoulders in a video of a complex scene proposed by the present invention is described in detail in conjunction with the embodiments as follows:

[0033] The head and shoulder detection of the human body in the video, the essential method is still to detect on the picture, this embodiment adopts the method of directly searching on the picture, specifically includes the following steps:

[0034] (1) Select a video from a class of videos to be detected; manually mark a certain number (at least 1000) of head and shoulder pictures, a certain number (at least 1000) of background pictures and a certain number (at least 1000 pictures) of other parts of the body, where the side length of these pictures is required to be at least 1 cm; the head and shoulders picture is used as a positive sample picture, and the background picture is used as a negative sample picture;

[0035] (2) Mirror the obtained positive and negative sample pictures left...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 孙立峰丁锡锋徐辉崔鹏杨士强
Owner TSINGHUA UNIV
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