CN104270615A - Large-view-field monitoring device, control method and image splicing method used for image splicing - Google Patents
Large-view-field monitoring device, control method and image splicing method used for image splicing Download PDFInfo
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- CN104270615A CN104270615A CN201410548740.9A CN201410548740A CN104270615A CN 104270615 A CN104270615 A CN 104270615A CN 201410548740 A CN201410548740 A CN 201410548740A CN 104270615 A CN104270615 A CN 104270615A
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Abstract
The invention belongs to the field of security monitoring, and particularly relates to a large-view-field monitoring device, a control method and an image splicing method used for image splicing. The device comprises a camera protective cover, an image splicing server and a video signal synchronizer. At least two cameras, a cradle head and a cradle head control network decoder are arranged in the camera protective cover. The protective cover is fixedly installed on the cradle head, so that it is guaranteed that the cameras in the protective cover can rotate in the same direction and at the same angle. The video signal synchronizer outputs synchronizing signals which are connected to the cameras respectively. Camera video signal output and loading cradle head control signal input are connected to the image splicing server. By means of the device, lens zooming, cradle head movement and other operation can be achieved, and the monitoring view field is dynamic and adjustable.
Description
Technical field
The invention belongs to protection and monitor field, particularly a kind of large visual field supervising device for image mosaic, control method and image split-joint method.
Background technology
Along with the development of monitoring technique, there is a lot of ultra high-definition video camera, multiple camera, all to solve high definition, the demand of large visual field monitoring, the common disadvantage of these watch-dogs is that scene is fixed, frame per second is low, intelligence degree is very low, particularly conventional images splice equipment to be mostly based on multiple video camera between still image carry out splicing and merge, and splice the operations such as rear institute monitoring image can not carry out camera lens zoom, position is moved, monitoring scene can only be relatively fixing, cannot meet the actual combat needs of control and command in a lot of occasion.
Summary of the invention
In order to solve the problems of the technologies described above, the invention provides a kind of large visual field supervising device for image mosaic, comprise camera protective cover, its inside is provided with at least two video cameras; The Cloud Terrace and cradle head control network decoder; For completing image mosaic and The Cloud Terrace and camera control; Vision signal synchronizer; Protective cover is fixedly mounted on The Cloud Terrace, to ensure that wherein each video camera can equidirectional, same to angular turn; Vision signal synchronizer exports synchronizing signal and accesses described each video camera respectively; Camera video signal exports and load-carrying cradle head control signal inputs equal incoming image splicing server, and image mosaic server realizes the network interconnection by switch and each video camera.
This device can realize whole video camera unitary rotation (comprising upper and lower, left and right, zoom operation), also can rotate respectively (comprising upper and lower, left and right, zoom operation) by each single camera in implement device, realize being changed to close up view by panorama, thus increase the flexibility of assembly monitor range conversion.
This device has presetting bit setting and calling function, can preset for paying close attention to scene, and when needs monitor, quick calling, completes the rapid translating of image scene.
Preferably, described camera protective cover inside is provided with 4 video cameras, and described The Cloud Terrace is medium-sized load-carrying The Cloud Terrace.
Preferably, described device possesses 4 video cameras and protective cover The Cloud Terrace in protective cover and is separated the ability controlled, possess two kinds of mode of operations, the rotation of each video camera can be controlled separately when mode of operation 1 and focus on zoom, The Cloud Terrace can be controlled when mode of operation 2 and make the lens focus of 4 video cameras indeclinable situation hypograph unitary rotation.
Preferably, described device can call the different conditions scene presetting store-memory and comprise cloud platform rotation position and each camera lens focusing zoom position grouping.
Preferably, described 4 video cameras are placed side by side in camera protective cover, and video camera is spaced from each other by not more than 30 centimetres.
Present invention also offers a kind of control method of the large visual field supervising device for image mosaic, concrete grammar comprises:
Step one, user changes video camera multiple or load-carrying The Cloud Terrace monitoring angle;
Step 2, video camera sends the image scene gathered and changes;
Step 3, splicing server, according to collect second or the 3rd camera review, adjusts The Cloud Terrace angle and the camera lens multiple of other three video cameras, automatically to complete splicing.
Step 4, image mosaic server check image mosaic seam, if seam is intact (by the characteristic point pixel of adjacent two images of comparison one group, adjacent two edges, as pixel characteristic possesses more than 90% similarity, then think that image mosaic is intact) proceed to step 5, if seam is not intact enter step 6;
Step 5, completes splicing, exports the large field-of-view image of complete splicing;
Step 6, Image semantic classification, edge feature analysis, recording feature picture;
Step 7, finds edge feature picture in pending picture;
Step 8, one by one intense adjustment camera angle, focal length, get back to step 3 and judge whether to splice intact, to terminate splicing after completing.
Present invention also offers a kind of image split-joint method based on above-mentioned supervising device: comprising:
Step one, starts splicing;
Step 2, sets up best splicing seams;
Step 3, to two width picture construction laplacian pyramids;
Step 4, to best splicing seams image configuration gaussian pyramid;
Step 5, is weighted average fusion to two width image overlapping regions;
Step 6, whether checking image merges, and enters step 7, get back to step 2 if do not merge if merged;
Step 7, expands fused images competition interpolation;
Step 8, carries out illumination and colour-balance adjustment;
Step 9, completes image mosaic, exports smooth image.
Preferably, the method setting up best splicing seams in above-mentioned steps two is: extract several specific position in benchmark image; Carry out Feature Points Matching, determine Feature Points Matching by scalping, Robust Estimation, dusting cover, removal error matching points; According to the relative position of Feature Points Matching, adjustment camera position, completes stitching image;
Preferably, in the image split-joint method of the described large visual field supervising device for image mosaic, extracting several specific position in benchmark image is 4 summits of image and the characteristic point information at edge.
This device can carry out video camera up and down and horizontally rotate, the operations such as camera lens zoom while carrying out picture control, and automatically adjusts according to adjustment position, completes splicing effect.
The present invention at least can realize advantage and good effect, but is not limited thereto:
(1) do not need manual intervention, splicing can automatically complete.
(2) operations such as this splicing apparatus can realize camera lens zoom, The Cloud Terrace moves, the dynamic adjustable of monitoring visual field.
Accompanying drawing explanation
Fig. 1 is the large visual field supervising device hardware configuration logic diagram for image mosaic of the present invention;
Fig. 2 is the large visual field supervising device control method flow chart for image mosaic of the present invention;
Fig. 3 is the flow chart of the image split-joint method based on the described large visual field supervising device for image mosaic;
Fig. 4 is the pictorial diagram of the image split-joint method based on the described large visual field supervising device for image mosaic.
Embodiment
Be easier to understand to make content of the present invention, now adopt the mode of specific embodiment by reference to the accompanying drawings, clear, complete description is carried out to technical scheme of the present invention, it should be noted that, embodiment described herein is only section Example of the present invention, but not whole implementation of the present invention, described embodiment only has exemplary, instead of limits the exhaustive of technical scheme of the present invention.Without departing from the inventive concept of the premise, all those of ordinary skill in the art do not make creative work just other execution mode thinkable, and other is to the simple replacement of technical solution of the present invention and various change, all belongs to protection scope of the present invention.
As shown in Figure 1, Fig. 1 is the large visual field supervising device hardware configuration logic diagram for image mosaic of the present invention; The described large visual field supervising device for image mosaic, comprising: camera protective cover, its inside is provided with four video cameras; Medium-sized load-carrying The Cloud Terrace and cradle head control network decoder; Image mosaic server, for completing image mosaic, The Cloud Terrace and camera control; Vision signal synchronizer; Protective cover is fixedly mounted on medium-sized load-carrying The Cloud Terrace, to ensure that wherein each portion video camera can equidirectional, same to angular turn; Vision signal synchronizer exports synchronizing signal and accesses described each video camera respectively; Camera video signal exports and load-carrying cradle head control signal inputs equal incoming image splicing server, and image mosaic server realizes the network interconnection by switch and each video camera.Carry out SDI video signal transmission between described 4 cameras and splicing server, splicing server, by RS232 or RJ45 communication mode, realizes the control to The Cloud Terrace decoder, thus realizes the control to described medium-sized load-carrying The Cloud Terrace.
Image mosaic server controls The Cloud Terrace network decoder by control signal thus controls cloud platform rotation and video camera zoom, four video cameras can be equidirectional, same angular turn, video camera is according to the control signal of splicing server, video image is gathered under different angles and different focal condition, described vision signal is that SDI video signal transmission is to image mosaic server, the image that the latter arrives according to 4 camera acquisitions, carry out splicing to analyze, and export camera control instruction, the each camera angle of continuous adjustment, focal position, complete large sight field video automatic Mosaic and monitor in real time.
As shown in Figure 2, Fig. 2 is the large visual field supervising device control method flow chart for image mosaic of the present invention; For a control method for the large visual field supervising device of image mosaic, concrete grammar comprises:
Step one, user changes video camera multiple or load-carrying The Cloud Terrace monitoring angle;
Step 2, the image scene that video camera sends changes;
Step 3, splicing server, according to collect second or the 3rd camera review, adjusts The Cloud Terrace angle and the camera lens multiple of other three video cameras, automatically to complete splicing;
Step 4, image mosaic server check image mosaic seam, if seam is intact proceed to step 5, if seam is not intact enter step 6;
Step 5, completes splicing, exports the large field-of-view image of complete splicing;
Step 6, Image semantic classification, edge feature analysis, recording feature picture;
Step 7, finds edge feature picture in pending picture;
Step 8, one by one intense adjustment camera angle, focal length, get back to step 3 and judge whether to splice intact, to terminate splicing after completing.
As shown in Figure 3, Fig. 3 is the flow chart of the image split-joint method based on the described large visual field supervising device for image mosaic.Image split-joint method based on above-mentioned supervising device: comprising:
Step one, starts splicing;
Step 2, sets up best splicing seams;
Step 3, to two width picture construction laplacian pyramids;
Step 4, to best splicing seams image configuration gaussian pyramid;
Step 5, is weighted average fusion to two width image overlapping regions;
Step 6, whether checking image merges, and enters step 7, get back to step 2 if do not merge if merged;
Step 7, expands fused images competition interpolation;
Step 8, carries out illumination and colour-balance adjustment;
Step 9, completes image mosaic, exports smooth image.
Preferably, the method setting up best splicing seams in above-mentioned steps two is: extract several specific position in benchmark image; Carry out Feature Points Matching, determine Feature Points Matching by scalping, Robust Estimation, dusting cover, removal error matching points; According to the relative position of Feature Points Matching, adjustment camera position, completes stitching image;
Preferably, in the image split-joint method of the described large visual field supervising device for image mosaic, extracting several specific position in benchmark image is 4 summits of image and the characteristic point information at edge.
Claims (10)
1., for a large visual field supervising device for image mosaic, comprise camera protective cover, its inside is provided with at least two video cameras; The Cloud Terrace and cradle head control network decoder; Image mosaic server, for completing image mosaic and The Cloud Terrace and camera control; Vision signal synchronizer; Protective cover is fixedly mounted on The Cloud Terrace, to ensure that wherein each portion video camera can equidirectional, same to angular turn; Vision signal synchronizer exports synchronizing signal and accesses described each video camera respectively; Camera video signal exports and load-carrying cradle head control signal inputs equal incoming image splicing server, and image mosaic server realizes the network interconnection by switch and each video camera.
2. the large visual field supervising device for image mosaic according to claim 1, described device can call the cloud platform rotation position and each camera lens position that preset.
3. the large visual field supervising device for image mosaic according to claim 2, in described protective cover, each video camera and protective cover The Cloud Terrace can realize being separated control, both can control video camera separately, also can control The Cloud Terrace and make each video camera overall with cloud platform rotation.
4. the large visual field supervising device for image mosaic according to claim arbitrary in claim 1-3, described camera protective cover inside is provided with 4 video cameras, and described The Cloud Terrace is medium-sized load-carrying The Cloud Terrace.
5. the large visual field supervising device for image mosaic according to claim 4,4 video cameras in described device, can according to the parameter of specifying a wherein video camera, image mosaic server adjusts other three parameters automatically, reaches optimum efficiency to make image mosaic.
6. the large visual field supervising device for image mosaic according to claim arbitrary in claim 1-3,5, described 4 video cameras are placed side by side in camera protective cover, and video camera is spaced from each other by not more than 30 centimetres.
7., according to claim 1 for the control method of the large visual field supervising device of image mosaic, concrete grammar comprises:
Step one, user changes video camera multiple or load-carrying The Cloud Terrace monitoring angle;
Step 2, video camera sends the image scene gathered and changes;
Step 3, splicing server, according to collect second or the 3rd camera review, adjusts The Cloud Terrace angle and the camera lens multiple of other three video cameras, automatically to complete splicing;
Step 4, image mosaic server check image mosaic seam, if seam is intact proceed to step 5, if seam is not intact enter step 6;
Step 5, completes splicing, exports the large field-of-view image of complete splicing;
Step 6, Image semantic classification, edge feature analysis, recording feature picture;
Step 7, finds edge feature picture in pending picture;
Step 8, one by one intense adjustment camera angle, focal length, get back to step 3 and judge whether to splice intact after completing.
8., according to claim 1 for the image split-joint method of the large visual field supervising device of image mosaic, comprising:
Step one, starts splicing;
Step 2, sets up best splicing seams;
Step 3, to two width picture construction laplacian pyramids;
Step 4, to best splicing seams image configuration gaussian pyramid;
Step 5, is weighted average fusion to two width image overlapping regions;
Step 6, whether checking image merges, and enters step 7, get back to step 2 if do not merge if merged;
Step 7, expands fused images competition interpolation;
Step 8, carries out illumination and colour-balance adjustment;
Step 9, completes image mosaic, exports smooth image.
9. according to claim 8 for the image split-joint method of the large visual field supervising device of image mosaic, the method setting up best splicing seams in step 2 is: extract several specific position in benchmark image; Carry out Feature Points Matching, determine Feature Points Matching by scalping, Robust Estimation, dusting cover, removal error matching points; According to the relative position of Feature Points Matching, adjustment camera position, completes stitching image.
10., according to claim 9 for the image split-joint method of the large visual field supervising device of image mosaic, extracting several specific position in benchmark image is 4 summits of image and the characteristic point information at edge.
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