CN105072312A - Method for predicting image moving direction in dynamic video - Google Patents
Method for predicting image moving direction in dynamic video Download PDFInfo
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- CN105072312A CN105072312A CN201510436684.4A CN201510436684A CN105072312A CN 105072312 A CN105072312 A CN 105072312A CN 201510436684 A CN201510436684 A CN 201510436684A CN 105072312 A CN105072312 A CN 105072312A
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- 230000011218 segmentation Effects 0.000 claims abstract description 5
- 230000000007 visual effect Effects 0.000 claims abstract description 5
- 230000005540 biological transmission Effects 0.000 claims description 4
- 230000007547 defect Effects 0.000 abstract description 3
- 238000006073 displacement reaction Methods 0.000 description 2
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- 150000001875 compounds Chemical class 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
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Abstract
The invention discloses a method for predicting an image moving direction in a dynamic video. The method comprises the steps that: (1) in a visual field shooting space of moving images to be obtained, the circumference is divided into four working regions, wherein two groups of cameras are arranged in each working region, an included angle between the two groups of cameras is 30 degrees, and the four working regions work simultaneously at 4 different heights; and (2) images shot by the plurality of cameras in the four working regions are transmitted to a background controller in real time, the controller carries out row-column segmentation comparison on the images transmitted in real time, the moving trends of the images shot in the four working regions are obtained, and a gradient algorithm is used for pre-estimating the moving directions of corresponding moving images. The method for predicting the image moving direction in the dynamic video overcomes the defects in the prior art that the manual labor amount is large, the cost is high and the reliability is poor and has the advantages of low manual labor amount, low cost and good reliability.
Description
Technical field
The present invention relates to technical field of electronic products, particularly, relate to the predictor method of image traffic direction in a kind of dynamic video.
Background technology
Moving image, contains displacement-time curve and Velocity-time image, and wherein displacement and speed are all vectors, and vector contains size and direction: displacement versus time image, Velocity-time figure and image and reference axis surround area.
In prior art, moving image mainly obtains by video camera, and video camera needs the multi-faceted work of not power-off, and cost is high, and poor reliability, needs multiple staff work compound simultaneously.
Realizing in process of the present invention, inventor finds at least to exist in prior art that manual labor amount is large, cost is high and the defect such as poor reliability.
Summary of the invention
The object of the invention is to, for the problems referred to above, propose the predictor method of image traffic direction in a kind of dynamic video, to realize, manual labor amount is little, cost is low and the advantage of good reliability.
For achieving the above object, the technical solution used in the present invention is: the predictor method of image traffic direction in a kind of dynamic video, comprising:
(1) in the shooting space, the visual field of moving image to be obtained, circumference is divided into 4 service areas, each service area arranges 2 groups of cameras, has the angle of 30 degree between 2 groups of cameras; 4 service areas are at 4 differing heights and work simultaneously;
(2) the image of the multiple camera shootings in 4 service areas, is real-time transmitted in background controller; The image of real-time Transmission is carried out row, column segmentation contrast by controller, obtains the movement tendency of 4 service area photographic images, starts the traffic direction that gradient algorithm estimates corresponding sports image.
The predictor method of image traffic direction in the dynamic video of various embodiments of the present invention, owing to comprising: (1) in the shooting space, the visual field of moving image to be obtained, circumference is divided into 4 service areas, each service area arranges 2 groups of cameras, has the angle of 30 degree between 2 groups of cameras; 4 service areas are at 4 differing heights and work simultaneously; (2) the image of the multiple camera shootings in 4 service areas, is real-time transmitted in background controller; The image of real-time Transmission is carried out row, column segmentation contrast by controller, obtains the movement tendency of 4 service area photographic images, starts the traffic direction that gradient algorithm estimates corresponding sports image; Thus can overcome in prior art that manual labor amount is large, cost is high and the defect of poor reliability, to realize, manual labor amount is little, cost is low and the advantage of good reliability.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from specification, or understand by implementing the present invention.
Below by embodiment, technical scheme of the present invention is described in further detail.
Embodiment
Below the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
According to the embodiment of the present invention, provide the predictor method of image traffic direction in a kind of dynamic video, comprising:
(1) in the shooting space, the visual field of moving image to be obtained, circumference is divided into 4 service areas, each service area arranges 2 groups of cameras, has the angle of 30 degree between 2 groups of cameras; 4 service areas are at 4 differing heights and work simultaneously;
(2) the image of the multiple camera shootings in 4 service areas, is real-time transmitted in background controller; The image of real-time Transmission is carried out row, column segmentation contrast by controller, obtains the movement tendency of 4 service area photographic images, starts the traffic direction that gradient algorithm estimates corresponding sports image.Technical scheme of the present invention, by arranging rotary rotation and many groups camera of moving up and down of staged, and adjustment and maintenance many groups camera in real time, such that the moving-picture information that obtains is complete, clear and successive image treating capacity is little.
Last it is noted that the foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, although with reference to previous embodiment to invention has been detailed description, for a person skilled in the art, it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (1)
1. the predictor method of image traffic direction in dynamic video, is characterized in that, comprising:
(1) in the shooting space, the visual field of moving image to be obtained, circumference is divided into 4 service areas, each service area arranges 2 groups of cameras, has the angle of 30 degree between 2 groups of cameras; 4 service areas are at 4 differing heights and work simultaneously;
(2) the image of the multiple camera shootings in 4 service areas, is real-time transmitted in background controller; The image of real-time Transmission is carried out row, column segmentation contrast by controller, obtains the movement tendency of 4 service area photographic images, starts the traffic direction that gradient algorithm estimates corresponding sports image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510436684.4A CN105072312A (en) | 2015-07-23 | 2015-07-23 | Method for predicting image moving direction in dynamic video |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510436684.4A CN105072312A (en) | 2015-07-23 | 2015-07-23 | Method for predicting image moving direction in dynamic video |
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| Publication Number | Publication Date |
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| CN105072312A true CN105072312A (en) | 2015-11-18 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201510436684.4A Pending CN105072312A (en) | 2015-07-23 | 2015-07-23 | Method for predicting image moving direction in dynamic video |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101344965A (en) * | 2008-09-04 | 2009-01-14 | 上海交通大学 | Tracking system based on binocular camera |
| CN101572804A (en) * | 2009-03-30 | 2009-11-04 | 浙江大学 | Multi-camera intelligent control method and device |
| US20110267461A1 (en) * | 2010-05-03 | 2011-11-03 | Stats Llc | Trajectory detection and analysis in sporting events |
| CN103826071A (en) * | 2014-03-11 | 2014-05-28 | 深圳市中安视科技有限公司 | Three-dimensional camera shooting method for three-dimensional identification and continuous tracking |
-
2015
- 2015-07-23 CN CN201510436684.4A patent/CN105072312A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101344965A (en) * | 2008-09-04 | 2009-01-14 | 上海交通大学 | Tracking system based on binocular camera |
| CN101572804A (en) * | 2009-03-30 | 2009-11-04 | 浙江大学 | Multi-camera intelligent control method and device |
| US20110267461A1 (en) * | 2010-05-03 | 2011-11-03 | Stats Llc | Trajectory detection and analysis in sporting events |
| CN103826071A (en) * | 2014-03-11 | 2014-05-28 | 深圳市中安视科技有限公司 | Three-dimensional camera shooting method for three-dimensional identification and continuous tracking |
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Application publication date: 20151118 |