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A Human Action Recognition Method Based on Ranking Method

A technology of human action recognition and sorting method, applied in the field of computer vision, can solve problems such as complex algorithm steps, difficult application, complex iterative operation, etc., to achieve the effect of improving accuracy and reducing complexity

Active Publication Date: 2016-09-28
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the state-space method can overcome the shortcomings of template matching, it usually involves complex iterative operations, and the steps of the algorithm are relatively complicated, which is difficult to apply to practical work

Method used

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  • A Human Action Recognition Method Based on Ranking Method
  • A Human Action Recognition Method Based on Ranking Method
  • A Human Action Recognition Method Based on Ranking Method

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Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0026] In order to reduce the complexity of iterative calculations and improve the accuracy of recognition, an embodiment of the present invention provides a human action recognition method based on a sorting method, see the following description for details:

[0027] The accuracy of traditional action representation methods is often affected by the accuracy of tracking and pose estimation. In scenes with many moving objects or complex backgrounds, the robustness of such features faces challenges. [7] . Recently, a new action representation method has emerged—a method based on spatiotemporal interest points, which represents actions by calculating the directional gradient histogram and optical flow histogram of the point set composed o...

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Abstract

The invention discloses a human action recognition method based on a sorting method. The method includes the following steps: extracting spatiotemporal interest points and corresponding position information from video image sequences; Sets are processed, and the BoW features of the training set and the test set are respectively constructed; the classifier is trained through the BoW features of the training set; the test data is input into the classifier, and the discriminant label of the test data is output, and the actions of the discriminant label and the test data are compared The accuracy rate of correct discrimination of 6 actions is calculated according to the labels. This method applies the sorting method to the action recognition method, opens up a new direction of action recognition, reduces the complexity of iterative calculation, and improves the accuracy of action recognition.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a human action recognition method based on a sorting method. Background technique [0002] Human action recognition is an important field in computer vision research, and it is a very attractive and challenging problem in computer vision. Visual analysis of human motion is an emerging frontier research field, involving pattern recognition, image processing, computer vision, artificial intelligence and other disciplines. And it has broad application prospects in the fields of intelligent video surveillance, video annotation, virtual reality, human-computer interaction, etc., and has become a research hotspot in the fields of computer vision and pattern recognition. [0003] Human action recognition is the detection and tracking of moving objects in image sequences containing human motion, and on this basis, the dynamic change characteristics of the visual pattern of the human actio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 苏育挺刘安安董瑞亭
Owner TIANJIN UNIV