Character recognition method based on human body contour outline

A human body contour and person recognition technology, applied in the field of human body contour-based character recognition, can solve the problems of fuzzy human body contour features, low accuracy, and limited practical application, and achieve high accuracy, simple algorithm, and accurate recognition Effect

Inactive Publication Date: 2009-11-25
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The advantage of this method is that it is easy to obtain and has strong anti-noise ability. However, the direct use of the gait energy map for matching

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  • Character recognition method based on human body contour outline
  • Character recognition method based on human body contour outline
  • Character recognition method based on human body contour outline

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Example Embodiment

[0020] The technical solution of the present invention will be further described in detail below with reference to the drawings and embodiments. The following examples are implemented on the premise of the technical solution of the present invention, and detailed implementation manners and processes are given, but the protection scope of the present invention is not limited to the following examples.

[0021] The embodiment of the present invention figure 1 The process shown includes: reading the video of the target person, extracting and processing the contour features of the human body, synthesizing the gait energy map, obtaining the gradient histogram of the gait energy map, performing principal component analysis and making nearest neighbor matching. The specific implementation steps are as follows (using Visual C++ language programming):

[0022] (1) Extract the human contour foreground image in the target person video:

[0023] First, use the function function in OpenCV (In...

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Abstract

The invention relates to a character recognition method based on human body contour outline, which particularly relates to a method for extracting human body contour outline information from single fixed video camera, and distinguishing people according to the characteristic information. The method includes the steps: (1) extracting human body contour outline foreground image in video of target character; (2) extracting height, width, gait period and other information from the human body contour outline image and zooming human body contour outline image; (3) synthesizing gait energy diagram; (4) evaluating gradient histogram of gait energy diagram; (5) carrying out principal component analysis and nearest neighbor matching. The invention has the advantages of easy realization, strong robustness, high accuracy, strong real time property or the like, and can reduce noise influence and show human body contour outline information simultaneously, so the method can be widely used in non-contact type long distance personal identification, intelligent monitoring, auxiliary criminal case solving, etc.

Description

technical field [0001] The invention relates to a method for identifying people based on human body contours, in particular to a method for extracting human body contour information from a single fixed camera and distinguishing people based on the characteristic information. It can be widely used in non-contact long-distance identification, intelligent monitoring, assisting in solving crimes, etc., and belongs to the field of person identification in pattern recognition. Background technique [0002] With the rapid development of science and technology, the use of cameras to monitor dynamic scenes has long been widely used in various fields of society, such as access control systems and security monitoring that are sensitive to security requirements. Due to the wide application prospects and potential economic value, the video surveillance of human movement is a frontier topic that has attracted much attention in recent years, and the use of biometric technology to assist hu...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06K9/00369G06K9/00348G06V40/25G06V40/103
Inventor 孙兵李科史文欢刘允才
Owner SHANGHAI JIAO TONG UNIV
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