CN103826071A - Three-dimensional camera shooting method for three-dimensional identification and continuous tracking - Google Patents
Three-dimensional camera shooting method for three-dimensional identification and continuous tracking Download PDFInfo
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- CN103826071A CN103826071A CN201410087180.1A CN201410087180A CN103826071A CN 103826071 A CN103826071 A CN 103826071A CN 201410087180 A CN201410087180 A CN 201410087180A CN 103826071 A CN103826071 A CN 103826071A
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Abstract
The invention discloses a three-dimensional camera shooting method for three-dimensional identification and continuous tracking. The method comprises the steps of A. shooting video for the monitored moving object from different angles respectively by a lens No. 1 and a lens No. 2 of a camera; B. respectively carrying out feature extraction on the moving object and the static object according to the shot video, wherein the extracted features comprise the size, the speed, the moving direction and the color of the moving object as well as the geographic position, the size and the color of the static object; and C. outputting a set of video streaming data according to the video, and outputting a set of feature data according to the extracted features. After three-dimensional camera shooting method is adopted, three-dimensional identification and continuous tracking can be realized for the monitored moving object.
Description
Technical field
The present invention relates to electronic communication technology, in particular a kind of three-dimensional camera shooting method for solid identification and Continuous Tracking.
Background technology
For the analysis of dynamic image and finally identify moving target, mainly realize by two approach at present.
A kind of approach is the mechanism of imitating eyes imaging and recognition object, allow computer extract moving target from the two-dimentional consecutive image sequence obtaining, and the viewable portion that therefrom reconstructs three-dimensional body is to reach the object of recognition object, although have made some progress in this research on the one hand, but due to the research hysteresis of other side and the inherent shortcoming of computer (for example, computer system adopts two-dimentional logic at large, and eyes imaging and recognition object are not only two dimension), the progress that makes to be reduced completely and identified by this approach moving target is slow.
Another approach is image method identification moving target, the basic principle of image method identification kinematic parameter is: after imaging head object for (infrared or visible ray etc.) is taken in, the image signal sequence of formation is sent into computer, after the preliminary treatment to image, feature extraction, target identification, in consecutive image sequence, carry out Feature Points Matching, and then solve the kinematic parameter of target object, realize search, identification and tracking to target object.Once complete decision-making and the processing that just can be completed by servomechanism next step to the identification of target and kinematic parameter thereof.Image method identification is to start with from input picture and two aspects of target object, by the processing to input image sequence, it is mated with the image in target sample storehouse, to reach the object of identification target.
The method also exists defect, such as, Sample Storehouse may be very large, is unfavorable for real-time tracking and processing.
Therefore, there is defect in prior art, needs to improve.
Summary of the invention
Technical problem to be solved by this invention is: a kind of three-dimensional camera shooting method for solid identification and Continuous Tracking that can three-dimensionally identify, connect real time tracking motion object is provided.
Technical scheme of the present invention is as follows: a kind of three-dimensional camera shooting method for solid identification and Continuous Tracking, comprises the steps: A: adopt a camera lens and No. two camera lens moving object capture video video recordings to monitoring from different angles respectively of a video camera; B: according to the video record of taking, moving object and stationary body are carried out respectively to feature extraction, wherein, comprise size, speed, the direction of motion and the color of moving object, and the geographical position of stationary body, size and color; C: export a road video stream data according to video record, and, export a road characteristic according to the feature of extracting.
Be applied to technique scheme, in described three-dimensional camera shooting method, after step C, also perform step D: adopt N video camera repeating step A-C, wherein N is greater than 1 natural number.
Be applied to each technique scheme, in described three-dimensional camera shooting method, after step D, also perform step E: each video camera output video stream data He Yi road, Yi road characteristic is exported to respectively in a PC, PC is analyzed each data, what judge each video camera shooting is same moving object, and draws the mobile alignment of this moving object.
Be applied to each technique scheme, in described three-dimensional camera shooting method, before steps A, also perform step A0: the diverse geographic location that each video camera is fixed on to a setting regions.
Be applied to each technique scheme, in described three-dimensional camera shooting method, in step B, specifically adopt GPS/ Big Dipper chip and direction sensor to carry out feature extraction to moving object.
Be applied to each technique scheme, in described three-dimensional camera shooting method, in step B, specifically adopt GPS/ Big Dipper chip and compass to carry out feature extraction to moving object
Adopt such scheme, the present invention carries out capture video video recording from different angles to moving object respectively by a camera lens and No. two camera lenses of video camera, then, according to video record, moving object and stationary body are carried out respectively to feature extraction again, so, can obtain the characteristic of moving object and stationary body according to the feature of extracting, and can obtain the video stream data of moving object according to the video record of taking, so, by characteristic and video stream data, can realize the solid identification to moving object; Can form a guarded region covering continuously and people or the vehicle to this region realized continuously from motion tracking by multiple video cameras, draw shiftable haulage line, can realize the Continuous Tracking of moving object.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.
The present embodiment provides a kind of three-dimensional camera shooting method for solid identification and Continuous Tracking, this three-dimensional camera shooting method, main two camera lenses that arrange by video camera are distinguished capture video video recording, then according to video record, realize the feature extraction of moving object and stationary body, by video record and extraction feature are analyzed, realize the solid identification of moving object; And, take continuously by the video camera that arranges many, then analyze by PC, can realize the Continuous Tracking of moving object.
Wherein, as shown in Figure 1, three-dimensional camera shooting method comprises the steps:
First, execution step A: adopt a camera lens and No. two camera lens moving object capture video video recordings to monitoring respectively of a video camera, for example, to be fixed on the position, control point of a certain guarded region with video camera, then absorb respectively the video record of moving object from different angles by the camera lens and No. two camera lenses that arrange on video camera.
And a camera lens and No. two camera lenses send to the video record of shooting in video camera DSP are set respectively, wherein, DSP(digital signal processor) be a kind of microprocessor of uniqueness, be the device of processing bulk information with digital signal; So, DSP processes respectively the video record of taking.
Then, execution step B: according to the video record of taking, moving object and stationary body are carried out respectively to feature extraction, wherein, by video camera, DSP to be set the moving object in video record and stationary body are carried out respectively to feature extraction, wherein, comprise size, speed, the direction of motion and the color of moving object, and comprise geographical position, size and the color of stationary body.
DSP is in the time analyzing, it is mainly the moving object imaging in the video record by analyzing a camera lens and No. two camera lens different angles shootings, can determine size and the color of moving object, and the size of stationary body and color, and, GPS/ Big Dipper chip and direction sensor can also be set in video camera, wherein, direction sensor can be set to compass, GPS/ Big Dipper chip is connected with DSP respectively with direction sensor, so, by GPS/ Big Dipper chip and DSP, can calculate according to video record the speed of moving object, and the geographical position of stationary body, and, also be connected with DSP by direction sensor, can obtain the direction of moving object.
Again then, execution step C: DSP exports a road video stream data according to video record, and, export a road characteristic according to the feature of extracting, wherein, be connected with outside PC by DSP, by DSP, video stream data and special data uploaded respectively in PC, PC, through processes and displays, can be realized the solid identification of moving object again.
For example,, when Moving Objects is behaved, by human figure, height, the girth of a garment, gait and face feature extract, and from multi-angle, Moving Objects are implemented to feature and conclude, thereby provide condition for follow-up work, and for example, when Moving Objects is vehicle, its shape, number plate of vehicle are extracted, obtained the shape facilities such as the brand, color, feature, the number-plate number of car, so, by the shape facility extracting, it is carried out to solid identification.
And for example, after step C, also perform step D: adopt N video camera repeating step A-C, at a video camera, for example, each video camera can be arranged on to different geographical position, then camera lens by its setting and No. two camera lenses remove the video record of taking moving object to the video camera by diverse geographic location from different angles respectively, then the DSP arranging by corresponding video camera, GPS/ Big Dipper chip, and direction sensor extracts the feature of moving object and stationary body according to video record, wherein, N is greater than 1 natural number, in reality, the quantity of video camera can be set according to actual conditions, for example, can arrange three, six etc.
Or, after step D, also perform step E, record a video and extract after feature in N platform video camera capture video, each video camera is all exported video stream data He Yi road, Yi road characteristic and is exported to respectively in a PC, there are N road video stream data and N road characteristic to export in same PC, so, PC is analyzed each circuit-switched data, when the characteristic of moving object of extracting is while being consistent, what can judge the shooting of N platform video camera is same moving object, so, according to the speed of each moving objects in video and direction, can draw the mobile alignment of this moving object.
For example, with artificial example, after First video camera is found mobile people, can draw its track route according to its direction of motion and speed, when on second video camera when finder, the people's that two video cameras are found position will overlap, and, the features such as size, color are identical, then can be defined as same person, so First video camera will be transferred on second video camera this people's supervision.
If First video camera, second camera review are discontinuous, there is neutral gear centre, according to this people's movement velocity and direction, calculate its time that enters second video camera and orientation according to inertia, when this time really the correspondence position in second video camera there is people, and the shape facilities such as size, color are identical, can judge that this people and a video camera are same people, so transfer second camera surveillance to.
Or, before steps A, also perform step A0: the diverse geographic location that each video camera is fixed on to a setting regions, can pass through the moving region of predicted motion object in advance, then, in this region, multiple cameras is installed, be connected with PC respectively by multiple cameras, for example, can form a guarded region covering continuously and people or the vehicle to this region realized continuously from motion tracking by multiple video cameras, draw shiftable haulage line.
These are only preferred embodiment of the present invention, be not limited to the present invention, all any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (6)
1. for a three-dimensional camera shooting method for solid identification and Continuous Tracking, it is characterized in that, comprise the steps:
A: adopt a camera lens and No. two camera lens moving object capture video video recordings to monitoring from different angles respectively of a video camera;
B: according to the video record of taking, moving object and stationary body are carried out respectively to feature extraction, wherein, comprise size, speed, the direction of motion and the color of moving object, and the geographical position of stationary body, size and color;
C: export a road video stream data according to video record, and, export a road characteristic according to the feature of extracting.
2. three-dimensional camera shooting method according to claim 1, is characterized in that, after step C, also performs step D: adopt N video camera repeating step A-C, wherein N is greater than 1 natural number.
3. three-dimensional camera shooting method according to claim 2, it is characterized in that, after step D, also perform step E: each video camera output video stream data He Yi road, Yi road characteristic is exported to respectively in same PC, PC is analyzed each data, what judge each video camera shooting is same moving object, and draws the mobile alignment of this moving object.
4. three-dimensional camera shooting method according to claim 3, is characterized in that, before steps A, also performs step A0: the diverse geographic location that each video camera is fixed on to a setting regions.
5. three-dimensional camera shooting method according to claim 1, is characterized in that, in step B, specifically adopts GPS/ Big Dipper chip and direction sensor to carry out feature extraction to moving object.
6. three-dimensional camera shooting method according to claim 5, is characterized in that, in step B, specifically adopts GPS/ Big Dipper chip and compass to carry out feature extraction to moving object.
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