CN102136146A - Method for recognizing human body actions by using computer visual system - Google Patents
Method for recognizing human body actions by using computer visual system Download PDFInfo
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- CN102136146A CN102136146A CN2011100368310A CN201110036831A CN102136146A CN 102136146 A CN102136146 A CN 102136146A CN 2011100368310 A CN2011100368310 A CN 2011100368310A CN 201110036831 A CN201110036831 A CN 201110036831A CN 102136146 A CN102136146 A CN 102136146A
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Abstract
The invention relates to a method for recognizing human body actions by using a computer visual system. The method comprises the following steps of: a, capturing a picture by using a camera and saving the captured picture to a computer; b, performing gray scale processing on the saved picture by using the computer according to a color psychological formula, namely luminance=R*0.299+G*0.587+B*0.114; c, performing border processing on a gray scale picture; d, dividing the picture into a plurality of independent transitional areas according to border values; e, generating a corresponding graphic abstract object by using the border singular points and smooth radians of the independent areas, and saving the graphic abstract object to the computer; and f, comparing the position of the graphic abstract object with that of a former frame of graphic abstract object so as to determine the motion trail of a moving object in the picture. The method for recognizing the human body actions by using the computer visual system is small in calculating data amount, high in calculating speed, slightly influenced by environment, and stable.
Description
Technical field
The present invention relates to a kind of method by the action of computer vision system identification human body limb.
Background technology
Traditional computer vision system based on graphical analysis need be analyzed RGB figure, and its data volume is big and speed is not good, and the algorithm that adopts is affected by environment bigger around feature or the contrast of bitmap fuzzy algorithm, comparatively unstable.
Summary of the invention
The objective of the invention is to overcome the defective that prior art exists, a kind of method by the action of computer vision system identification human body limb is provided, its computational data amount is little, computing velocity fast and affected by environment little, stable.
The technical solution adopted for the present invention to solve the technical problems is: a kind of method by the action of computer vision system identification human body limb, and step is as follows: a, catch image by camera, and a picture that captures is kept in the computing machine; B, computing machine carry out gray scale according to color psychology formula: brightness=R*0.299+G*0.587+B*0.114 to the picture of preserving to be handled; C, the gray scale picture is carried out the border processing; D, picture is divided into a plurality of independent gradation zones according to boundary value; E, generate corresponding figure abstract object, and this figure abstract object is kept in the computing machine with the border singular point and the smooth arc degree of each isolated area; F, the position of the figure abstract object of figure abstract object and former frame is compared the movement locus of judging moving object in the picture.
Further, in step c, the gray scale picture is carried out border Hua Chu according to even gradual change formula: gradual change=A+ (B-A)/Step*N, get suitable color range step and territory N and calculate certain some color gradient region of rejection on every side as threshold values, drop on a little in the gradual change region of rejection as around this point, then this point is called singular point, and non-isolated singular point gets up to become the border continuously.
Beneficial effect of the present invention: the invention solves the defective that exists in the background technology, adopt the feasible process that will change into the process that RGB handles originally of the psychologic theory of color to brightness processed, its data volume is little, improved processing speed greatly, therefore the speed of judging for graphic limit also significantly improve, the motion capture process no longer relies on simple pixel comparison, but the element in the figure is carried out mathematical abstractions, make the element among the figure to discern, can inquire about, affected by environment little, stable.
Embodiment
A kind of method by the action of computer vision system identification human body limb, step is as follows: a, catch image by camera, and a picture that captures is kept in the computing machine; B, computing machine carry out gray scale according to color psychology formula: brightness=R*0.299+G*0.587+B*0.114 to the picture of preserving to be handled; C, basis evenly gradual change formula: gradual change=A+ (B-A)/Step*N are carried out border Hua Chu to the gray scale picture, get suitable color range step and territory N and calculate certain some color gradient region of rejection on every side as threshold values, drop on a little in the gradual change region of rejection as around this point, then this point is called singular point, and non-isolated singular point gets up to become the border continuously; D, picture is divided into a plurality of independent gradation zones according to boundary value; E, generate corresponding figure abstract object, and this figure abstract object is kept in the computing machine with the border singular point and the smooth arc degree of each isolated area; F, the position of the figure abstract object of figure abstract object and former frame is compared the movement locus of judging moving object in the picture.
Adopting said method is caught the limb action of the preceding human body of camera, define the limbs dummy command of thinking correspondence according to different movement track and limbs change of shape, be associated with the operation of other electronic equipments again, can under the situation that does not contact any object, carry out virtualization operations electronic equipment.
Should be appreciated that specific embodiment described above only is used to explain the present invention, and be not used in qualification the present invention.Conspicuous variation of being extended out by spirit of the present invention or change still are among protection scope of the present invention.
Claims (2)
1. method by the action of computer vision system identification human body limb is characterized in that step is as follows: a, catch image by camera, and a picture that captures is kept in the computing machine; B, computing machine carry out gray scale according to color psychology formula: brightness=R*0.299+G*0.587+B*0.114 to the picture of preserving to be handled; C, the gray scale picture is carried out the border processing; D, picture is divided into a plurality of independent gradation zones according to boundary value; E, generate corresponding figure abstract object, and this figure abstract object is kept in the computing machine with the border singular point and the smooth arc degree of each isolated area; F, the position of the figure abstract object of figure abstract object and former frame is compared the movement locus of judging moving object in the picture.
2. a kind of method according to claim 1 by the action of computer vision system identification human body limb, it is characterized in that: in step c, the gray scale picture is carried out border Hua Chu according to even gradual change formula: gradual change=A+ (B-A)/Step*N, get suitable color range step and territory N and calculate certain some color gradient region of rejection on every side as threshold values, drop on a little in the gradual change region of rejection as around this point, then this point is called singular point, and non-isolated singular point gets up to become the border continuously.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011100368310A CN102136146A (en) | 2011-02-12 | 2011-02-12 | Method for recognizing human body actions by using computer visual system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011100368310A CN102136146A (en) | 2011-02-12 | 2011-02-12 | Method for recognizing human body actions by using computer visual system |
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| CN102136146A true CN102136146A (en) | 2011-07-27 |
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| CN2011100368310A Pending CN102136146A (en) | 2011-02-12 | 2011-02-12 | Method for recognizing human body actions by using computer visual system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102565062A (en) * | 2012-03-02 | 2012-07-11 | 汕头市领域安防系统设备有限公司 | Method and device for testing turbidity of liquid based on detection of image gray |
| CN103135753A (en) * | 2011-12-05 | 2013-06-05 | 纬创资通股份有限公司 | Gesture input method and system |
| WO2014094257A1 (en) * | 2012-12-19 | 2014-06-26 | Thomson Licensing | Method and apparatus for image abstraction |
Citations (3)
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| EP1347648A2 (en) * | 2002-03-12 | 2003-09-24 | Monolith Co., Ltd. | Method and apparatus for compressing corresponding point information as image data |
| CN101216896A (en) * | 2008-01-14 | 2008-07-09 | 浙江大学 | An identification method for movement by human bodies irrelevant with the viewpoint based on stencil matching |
| CN101794387A (en) * | 2010-03-30 | 2010-08-04 | 重庆邮电大学 | Intelligent rehabilitation system and method for tracking limb movement by utilizing same |
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2011
- 2011-02-12 CN CN2011100368310A patent/CN102136146A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1347648A2 (en) * | 2002-03-12 | 2003-09-24 | Monolith Co., Ltd. | Method and apparatus for compressing corresponding point information as image data |
| CN101216896A (en) * | 2008-01-14 | 2008-07-09 | 浙江大学 | An identification method for movement by human bodies irrelevant with the viewpoint based on stencil matching |
| CN101794387A (en) * | 2010-03-30 | 2010-08-04 | 重庆邮电大学 | Intelligent rehabilitation system and method for tracking limb movement by utilizing same |
Non-Patent Citations (2)
| Title |
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| 《Proceedings of 6th International Conference on Computer & Information Technology》 20031221 Md.Aminul Islam et al. A Multifarious Faces and Facial Features Detection Algorithm for Color Images Based on Grey-scale Information and Facial Geometry 第2-5页 1 , * |
| 《数据采集与处理》 20090930 汪力等 一种结合形状序列和DTW的动作识别方法 第615-618页 1 第24卷, 第5期 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103135753A (en) * | 2011-12-05 | 2013-06-05 | 纬创资通股份有限公司 | Gesture input method and system |
| CN102565062A (en) * | 2012-03-02 | 2012-07-11 | 汕头市领域安防系统设备有限公司 | Method and device for testing turbidity of liquid based on detection of image gray |
| CN102565062B (en) * | 2012-03-02 | 2015-04-29 | 汕头市领域安防系统设备有限公司 | Method for testing turbidity of liquid based on detection of image gray |
| WO2014094257A1 (en) * | 2012-12-19 | 2014-06-26 | Thomson Licensing | Method and apparatus for image abstraction |
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Effective date of registration: 20120319 Address after: 213164, Jiangsu, Changzhou city science and Technology Park, science research building No. 1, block B, building four Applicant after: Jiangsu 5ipatent Technology Co.,Ltd. Address before: 213164, Jiangsu science and Education City, Changzhou science and Technology Park, science research building 1, block B, building four Applicant before: Changzhou 5iPatent Technology Co., Ltd. |
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Application publication date: 20110727 |