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Action recognition method and device based on shape context

An action recognition and context technology, applied in the field of image processing, can solve problems such as poor robustness and achieve good recognition and high accuracy

Active Publication Date: 2014-07-30
SHENZHEN SUNWIN INTELLIGENT CO LTD
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Problems solved by technology

Such methods are not robust to low-resolution video and to disturbances caused by noise and camera motion

Method used

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  • Action recognition method and device based on shape context
  • Action recognition method and device based on shape context
  • Action recognition method and device based on shape context

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Embodiment Construction

[0021] In order to describe the technical content, structural features, achieved goals and effects of the present invention in detail, the following will be described in detail in conjunction with the embodiments and accompanying drawings.

[0022] The most critical idea of ​​the present invention is: this scheme selects the key contour in the key contour library with the smallest distance to all contour points in the human body contour in turn and votes, and recognizes the standard human body action of the frame image according to the key contour with the most votes , which can recognize the image of the video very well.

[0023] see figure 1 , an action recognition method based on shape context, comprising the following steps:

[0024] S01, collecting multiple frames of continuous video images of human body movements;

[0025] S02, extracting the human body contour in any frame of image in the video image, wherein the human body contour is composed of several contour point...

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Abstract

The invention discloses an action recognition method and device based on the shape context. The method includes the steps of firstly, collecting multiple frames of continuous video images of human body actions; secondly, extracting the human body outline in any frame of image in the extracted video images, wherein the human body outline is composed of a plurality of outline points; thirdly, calculating the shape distance between all the outline points in the human body outline and outline points in key outlines contained in a key outline base, wherein the key outlines are standard human body actions; fourthly, sequentially selecting the key outlines, closest to all the outline points in the human body outline, in the key outline base for all the outline points in the human body outline, and voting for the key outlines; fifthly, counting the number of votes for the key outlines in the key outline base, and recognizing the human body action in the video image as the standard human body action corresponding to the key outline with the largest number of votes. According to the method and the device, accuracy of recognition of he human body action can be improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an action recognition method and device based on shape context. Background technique [0002] As an emerging technology in the field of computer vision, human behavior recognition has broad application prospects in human-computer interaction and video surveillance. At present, the applicable occasions are motion capture, surveillance video analysis, video classification, sports and entertainment video processing, smart home development, human-computer interaction, environmental control and monitoring, etc. [0003] At present, the main human behavior recognition methods can be roughly divided into four categories based on target tracking, based on shape template matching, based on optical flow and based on spatio-temporal points of interest. The methods based on object tracking and shape template matching require the establishment of accurate human body template...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 陈雁陈敏胡祝银吴悦顾文锦
Owner SHENZHEN SUNWIN INTELLIGENT CO LTD
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