Method for recognizing human motion in video sequence

A technology of video sequences and human actions, applied in the field of computer vision, can solve the problems of accuracy and real-time contradiction, and achieve the effect of improving accuracy, satisfying real-time performance, and reducing video features

Inactive Publication Date: 2013-04-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to solve the contradiction between the accuracy and real-time performance of the human body action recognition method in the existing video image, and propose a human body action recognition method in the video sequence

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  • Method for recognizing human motion in video sequence
  • Method for recognizing human motion in video sequence
  • Method for recognizing human motion in video sequence

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Embodiment Construction

[0041] In order to make the technical solution of the present invention clearer, the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0042] This embodiment takes video surveillance as an example. First adjust the monitoring area, and collect images with a specific number of frames from the camera in the monitoring area. In this embodiment, the number of frames is 100, that is, 100 frames constitute a video, and the size of the video sequence is 240*320. Four human bodies Actions - "fighting, reaching out, running, walking" as an example to illustrate.

[0043] The recognition method of human body action in the video sequence of the present invention, specific process is as follows figure 1 As shown, it includes two processes of feature extraction and feature training and recognition, wherein feature extraction includes the following steps:

[0044] S1. Calculate the pixel motion change frequency map ...

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Abstract

The invention discloses a method for recognizing human motion in a video sequence, which aims at contradict between accuracy and real-time performance achieved by the conventional method for recognizing the human motion in a video image. The method provided by the invention comprises a characteristic extraction process and a characteristic training and recognition process. In the characteristic extraction, a differential edge histogram of the video sequence is calculated so as to greatly reduce video characteristics which are used, increase the recognition speed and meet the real-time performance of human motion recognition; and a pixel change histogram and an edge gradient histogram are calculated for a target area and a plurality of sub-areas respectively so as to improve the accuracy of motion detail recognition. By the method provided by the invention, not only the recognition accuracy is improved, but also the recognition real-time performance is met.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a recognition method of human body movements. Background technique [0002] Now that the pace of digitalization and networking is gradually accelerating, it has become a fact that video surveillance systems have risen to participate in the management of the entire industry. It is favored in all walks of life, especially in the field of security and prevention, for its intuitive and real-time advantages. With the decreasing cost of surveillance equipment such as cameras, video surveillance systems can be widely used in banks, post and telecommunications, prisons, courts, large public facilities, large warehouses and military bases, and the field of public security plays an increasingly important role. However, most of the functions of the current monitoring system only stay in the manual monitoring of video signals and post-event video analysis by monitoring pe...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 李宏亮覃耀辉
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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