CN103716594A - Panorama splicing linkage method and device based on moving target detecting - Google Patents
Panorama splicing linkage method and device based on moving target detecting Download PDFInfo
- Publication number
- CN103716594A CN103716594A CN201410008471.7A CN201410008471A CN103716594A CN 103716594 A CN103716594 A CN 103716594A CN 201410008471 A CN201410008471 A CN 201410008471A CN 103716594 A CN103716594 A CN 103716594A
- Authority
- CN
- China
- Prior art keywords
- ball machine
- splicing
- panorama
- unit
- original video
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
The invention provides a panorama splicing linkage method and device based on moving target detecting. A large-view panorama image is obtained by panorama splicing, then view is adjusted, the position mapping relation of a ball machine and a panorama splicing video camera is established, then moving target detecting is carried out on an area of interest in the panorama image, after a moving target is detected, the corresponding ball machine is automatically triggered to track the target of the area of interest according to the mapping relation to achieve linkage, accordingly, the problem that the moving target (a human face, a license plate and the like) in the panorama image cannot be seen clearly under the situation of long distance is avoided, workload of monitoring personnel is reduced, a complete, large-view, and high-resolution continuous image is provided for an operator, the observing angle is similar to the view angle of a human eye, and switching back and forth between images during monitoring is avoided.
Description
Technical field
The present invention relates to technical field of video processing, refer in particular to a kind of panorama splicing interlock method and device based on moving object detection.
Background technology
In today of supervisory control system fast development, system scale is increasing, control point is more and more, staff faces increasing monitoring image and has no time to attend to, along with the continuous expansion of monitoring range, and need to be to bed rearrangement bridge, airport, very Chang Yiduan highway or skyscraper are monitored, the visual field of most of video cameras does not reach large like this monitoring range, therefore the requirement of large visual field video monitoring is increased gradually, has formed gradually a kind of high-end demand.Video panorama splicing, as a solution, has also obtained increasing concern.Thing followed video monitoring system will played the part of important role.
Up to the present, common watch-dog has 2 kinds, the first is gunlock, adopting gunlock to aim at certain scene monitors, weak point is when monitoring scene is more, need to be between each scene switches back and forth, when video way is more, switch when frequent, monitor staff is easily tired, and people's attentiveness can only concentrate on part picture; The second is ball machine, and ball machine monitoring is monitored peripheral region by roating sphere machine, but shortcoming is that the ball machine visual field is limited, and the same time can only be monitored a scene, so still can miss part important information.
In target following link, if be singly, rely on ball machine, no matter be, by manual ball-handling or its tracking effect of automatically track target mode, affected by several factors, easily there is to follow the tracks of failure or target switching, and in tracing process, the monitored picture visual field concentrates near tracking target, easily misses other important information.If dependence gunlock, target easily appears in a plurality of pictures, and between picture, switching affects the seizure of monitor staff to video information, and gunlock installation direction fixes, and monitoring scene can not change along with target, is easier to lose tracking target.And in video monitoring, often because target range is far away, cause the detection recognition correct rate of target (people's face, car plate etc.) lower.
Summary of the invention
The object of the invention is to overcome above-mentioned defect, a kind of panorama splicing interlock method and device based on moving object detection is provided.
The object of the present invention is achieved like this: a kind of panorama splicing interlock method based on moving object detection, and it comprises step,
A), ball machine and panorama splicing video camera is set in control point, in setting up procedure, panorama splicing video camera adopts horizontal/vertical/horizontal vertical connecting method, by adjusting each lens direction, realizes panorama and splices;
B), adjust the visual field of panorama splicing video camera, make it the visual field in panorama splicing picture and cover the ball machine visual field arranging;
Due to ball machine can horizontal 360-degree, level is rotated down, the visual field that ball function covers is in theory greater than panorama splicing video camera, but the visual field that ball machine cannot be more than covering level, therefore needing this step to adjust panorama splicing video camera is to wish that the visual field of panorama is all below horizontal, and ball machine can cover after rotating.
C), spherical displacer machine and panorama splicing video camera, set up the position mapping relations that ball machine and panorama splice video camera;
D), in panorama splicing picture, arrange after area-of-interest, this area-of-interest is carried out to moving object detection;
E), when moving target being detected, corresponding moving target mark is followed the tracks of frame, according to following the tracks of frame parameter control marble forming machine, adjusts, focuses on and take tracking target image;
In above-mentioned steps, after described step C, also comprising and judge whether to demarcate successfully, is to continue, otherwise after the picture of adjusting ball machine each raw frames center-aligned before making it not splice with panorama splicing video camera, goes back to the step of step C;
In above-mentioned steps, in described step F, follow the tracks of frame parameter and comprise tracking frame size, follow the tracks of frame positional information;
In above-mentioned steps, after described step F, also comprise to ball machine image is carried out feature detection and extracts the step that feature is then identified;
In above-mentioned steps, in described step, feature detection comprises that people's face, vehicle license plate characteristic detect;
In above-mentioned steps, in described step, identification is by identifying Data Comparison in the feature of extraction and database.
The invention still further relates to a kind of panorama splicing linkage based on moving object detection, it comprises:
Splicing arranges module, and for ball machine and panorama splicing video camera are set in control point, panorama splicing video camera employing horizontal/vertical/horizontal vertical connecting method in setting up procedure, realizes panorama and splice by adjusting each lens direction, then forwards adjusting module to;
Adjusting module, for adjusting the visual field of panorama splicing video camera, makes it the visual field in panorama splicing picture and covers the ball machine visual field arranging, and then forwards demarcating module to;
Demarcating module, for spherical displacer machine and panorama splicing video camera, sets up the position mapping relations of ball machine and panorama splicing video camera, then forwards to module is set;
Module is set, for arranging after area-of-interest until panorama splicing picture, this area-of-interest is carried out to moving object detection, then forward motion detection block to;
Motion detection block, detects moving target for working as, and corresponding moving target mark is followed the tracks of frame, according to following the tracks of frame parameter control marble forming machine, adjusts, focuses on shooting tracking target image;
In above-mentioned, described demarcating module specifically comprises,
Broadcast unit, for playing not splicing original video and the ball machine video of panorama splicing video camera, then forwards selection original video unit to;
Select original video unit, for of unduplicated selection panorama splicing video camera, do not splice original video and then forward characteristic point selected cell to;
Characteristic point selected cell, for characteristic point of the unduplicated selection of not splicing original video in selection by input equipment, the coordinate that records this characteristic point forwards grouped record unit to;
Grouped record unit, for marking the center of ball machine video picture, by controlling, ball machine picture center is fallen in the selected characteristic point in selection original video unit, coordinate grouped record by ball machine level inclination value now, ball machine vertical dip angle value and ball machine convergent-divergent multiplier value character pair point, forwards repetitive to;
Repetitive, then forwards demarcation unit at least 6 times for repeating step characteristic point selected cell, demarcation record cell;
Demarcate unit, for adopting least square fitting to go out quadratic surface coefficient to the ball machine level inclination value of every group of record, ball machine vertical dip angle value and match point coordinate, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the ball machine of controlling in the identifier of the splicing original video of selecting to select in original video unit and grouped record unit is corresponding, preserves mapping relations foundation, then forwarded panorama repetitive to;
Panorama repetitive, selects original video unit, characteristic point selected cell, grouped record unit, repetitive and demarcates unit for repeating step, until complete all mapping relations of not splicing original video of panorama splicing video camera, sets up;
In above-mentioned, described demarcating module specifically comprises,
Control unit, for controlling each that make ball machine picture and panorama splicing video camera, do not splice the consistent feature extraction unit that then forwards in original video center;
Feature extraction unit, a two field picture that does not splice original video for extracting each, extracts sift/surf/harris characteristic point to this image, and then characteristic matching, coupling then forward margin estimation unit to adopting least square method to calculate perspective transformation matrix;
Margin estimation unit, does not estimate that for each being spliced to original video by perspective transformation matrix the ball machine level inclination value of its 4 edge angle points and ball machine vertical dip angle value then forward ball machine bit cell to;
Ball machine bit cell, one that is used for unduplicated selection panorama splicing video camera does not splice original video, its changes in coordinates scope is divided into many parts, according to ball machine level inclination value and the ball machine vertical dip angle value control marble forming machine arrival relevant position of every part, then forwards matching unit to respectively;
Matching unit, for position of the every arrival of ball machine, not splicing original video now and ball machine picture are carried out to feature extraction coupling, if match point meets, threshold value is preserved corresponding coordinate and ball machine ball machine level inclination value and ball machine vertical dip angle value now then forwards demarcation unit to;
Demarcate unit, for repeating ball machine bit cell, matching unit, until complete all mapping relations of not splicing original video of panorama splicing video camera, set up;
In above-mentioned, described demarcation unit forwards manual correction unit to, described manual correction unit is for checking that the coupling of automatic Calibration is right, if there is reference sphere machine bit cell of error, matching unit is manually controlled ball and is adjusted ball machine, obtain at least 6 match points, by the ball machine level inclination value of the coordinate of match point and ball machine, the corresponding grouped record of ball machine vertical dip angle value and ball machine convergent-divergent multiplier value, to the ball machine level inclination value in every group of record, ball machine vertical dip angle value and match point coordinate adopt least square fitting to go out quadratic surface coefficient, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the identifier of the splicing original video of selecting and the ball machine controlled is corresponding, has preserved mapping relations foundation,
In above-mentioned, the interlock of described motion detection block specifically has following unit to realize,
Follow the tracks of frame central point computing unit, for then forwarding panorama zone location unit to according to following the tracks of frame information, calculate the center point coordinate of following the tracks of frame;
Panorama zone location unit, then forwards region decision unit to for locating its region under panorama splicing picture according to tracking frame center point coordinate value;
Region decision unit, for judging whether above-mentioned zone is positioned at the overlapping region of panorama splicing video camera, otherwise the information of obtaining region is then carried out coordinate computing unit, is to carry out comparison coordinate computing unit;
Coordinate computing unit, for calculating and follow the tracks of the coordinate position that original video is not spliced at frame central point place according to the splicing inverse transformation of the corresponding sequence number in region, then forwards ball machine linkage unit to;
Compare coordinate computing unit, for relatively following the tracks of frame center point coordinate value and overlapping two distances of not splicing the central point of original video, according to the splicing inverse transformation of the corresponding sequence number in nearest region, calculate tracking frame central point place and do not splice the coordinate position in original video, then forward ball machine linkage unit to;
Ball machine linkage unit, for the mapping relations of not splicing original video according to tracking frame central point place, to follow the tracks of, the coordinate position of frame central point obtains corresponding ball machine level inclination value and ball machine vertical dip angle value then forwards ball machine performance element to;
Ball machine performance element, adjusts according to ball machine level inclination value and ball machine vertical dip angle value drive ball machine.
Beneficial effect of the present invention is first by panorama, to be spliced and obtained a wide-field panorama, then adjust the visual field, after setting up the position mapping relations of ball machine and panorama splicing video camera, area-of-interest in panorama is carried out to moving object detection, after moving target being detected, automatically according to mapping relations, trigger corresponding ball machine and follow the tracks of area-of-interest realization of goal interlock, thereby avoid not seeing in remote situation moving target (the people's face in panorama, car plate etc.), reduced monitor staff's workload, can manually select area-of-interest in panorama to realize the interlock of ball machine, to manipulator provide one complete, the large visual field, high-resolution continuous pictures, more approach the visual angle of eye-observation, while avoiding monitoring, between each picture, switch back and forth.
Accompanying drawing explanation
Below in conjunction with accompanying drawing in detail concrete structure of the present invention is described in detail
Fig. 1 is interlock splicing schematic diagram of the present invention;
Fig. 2 is horizontal spliced panoramic picture view of the present invention;
Fig. 3 is first embodiment of the present invention method flow diagram;
Fig. 4 is vertical spliced panoramic picture view of the present invention;
Fig. 5 is second embodiment of the present invention method flow diagram;
Fig. 6 is horizontal vertical spliced panoramic picture view of the present invention;
Fig. 7 is third embodiment of the present invention method flow diagram.
Embodiment
By describing technology contents of the present invention, structural feature in detail, being realized object and effect, below in conjunction with execution mode and coordinate accompanying drawing to be explained in detail.
The invention provides a kind of panorama splicing interlock method based on moving object detection, it comprises step,
A), ball machine and panorama splicing video camera is set in control point, in setting up procedure, panorama splicing video camera adopts level or horizontal or vertical vertical connecting method, by adjusting each lens direction, realizes panorama and splices;
B), adjust the visual field of panorama splicing video camera, make it the visual field in panorama splicing picture and cover the ball machine visual field arranging;
C), spherical displacer machine and panorama splicing video camera, set up the position mapping relations that ball machine and panorama splice video camera;
D), in panorama splicing picture, arrange after area-of-interest, this area-of-interest is carried out to moving object detection;
E), when moving target being detected, corresponding moving target mark is followed the tracks of frame, according to following the tracks of frame parameter (normally by following the tracks of the corresponding pan of frame calculation of parameter, tilt and zoom) control marble forming machine adjustment, focusing on and take tracking target image.
First this method is carried out the video sequence that has each other lap space coupling and is aimed in conjunction with forming the high-resolution consecutive image with great visual angle that a width comprises each video sequence information after exposure fusion, then set up mapping relations between ball machine and panorama splicing video camera, thereby when operating personnel directly panorama splicing picture mid point hit or frame favored area after, between panoramic camera and ball machine, can realize interlock, according to mapping relations control relevant position the adjustment of ball machine, focus to this locating area.Further, operating personnel also can be spliced area-of-interest is set in picture at panorama, whether system is automatically to occurring in this region that moving object detects, in splicing picture, occur that motion is as targets such as vehicle, pedestrians, the control marble forming machine that system will link focuses on this regional aim of location fast, thereby make operating personnel can see the part (people's face, car plate etc.) not seeing in panorama splicing picture clearly, be conducive to catch more details information.Whole method for supervising is by the link mode of individual ball machine of panorama splicing picture thus, to manipulator, provides complete, a large visual field, high-resolution continuous pictures, more approaches the visual angle of eye-observation, while avoiding monitoring, between each picture, switches back and forth.Use ball machine to coordinate simultaneously, while analyzing moving target in panorama, call ball machine and focus on fast this target of location.Solved in original method and frequently switched between multiple video pictures, cause monitor staff's dispersion attention, and check that for a long time multi-channel video is easily tired, simultaneously the shared pixel of target is less in panorama, cause not seeing the defect of the key message of target (people's face, car plate etc.).
As an embodiment, above-mentioned steps C specifically comprises,
C1), play not splicing original video and the ball machine video of panorama splicing video camera;
C2), one of unduplicated selection panorama splicing video camera does not splice original video;
C3), by the input equipments such as mouse or touch characteristic point i of unduplicated selection in the not splicing original video of selecting, record the x/y axial coordinate pt[i of this characteristic point in picture] .x, pt[i] .y;
C4), mark the center of picture in ball machine video, by controlling, ball machine picture center is fallen in the selected characteristic point of step C2, by the coordinate grouped record of ball machine level inclination value now, ball machine vertical dip angle value and ball machine convergent-divergent multiplier value character pair point;
Above-mentioned controlling is generally manual manipulation, ball machine level inclination value, ball machine vertical dip angle value and ball machine convergent-divergent multiplier value in ball machine respectively to there being ball machine level inclination function pan[i], the vertical dip angle function tilt[i of ball machine], convergent-divergent multiplying power function zoom[i], after adjusting to the right place, read the value of above-mentioned function.
C5), repeating step C3, C4 are at least 6 times;
Not i.e. not splicing 6 characteristic points of unduplicated selection original video and the center alignment characteristics point that each characteristic point is controlled the picture of ball machine video recorded to ball machine level inclination value, ball machine vertical dip angle value and ball machine convergent-divergent multiplier value one to one from panorama splicing video camera.
C6), to ball machine level inclination value, ball machine vertical dip angle value in every group of record (i.e. the pan_a[i of at least 6 groups], tilt_a[i], i>=6) and match point coordinate (be pt[i] .x, pt[i] .y) adopt least square fitting to go out quadratic surface coefficient, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the ball machine of controlling in the identifier of the splicing original video of selecting in step C2 and step C4 is corresponding, preserved demarcation.
Above-mentioned employing least square fitting goes out quadratic surface Coefficient Fitting and is actually:
1, set up the relation between ball machine level inclination value and original video coordinate x, y;
2, set up the relation between ball machine vertical dip angle value and original video coordinate x, y.
Above-mentioned ball machine and the relation principle that does not splice original video set up:
PT value and the coupling of supposing ball machine meet relation below to coordinate:
pan=a1*X^2+a2*XY+a3*Y^2+a4*X+a5*Y+a6
tilt=b1*X^2+b2*XY+b3*Y^2+b4*X+b5*Y+b6
Get more than 6 groups coupling to rear, in the situation that pan, tilt and (X, Y) are known, calculating a1, a2, a3, a4, a5, a6 (quadratic surface coefficient)
B1, b2, b3, b4, b5, b6(quadratic surface coefficient)
Herein, each of panorama splicing video camera do not splice original video and comes from independently gunlock, and 1 gunlock has a MAC Address conventionally, therefore identifier can directly adopt its MAC Address, and ball machine (panorama hemisphere) only has a MAC Address conventionally, therefore in order distinguishing, can to adopt MAC+ passage as identifier, after corresponding preservation, to complete this selected staking-out work of not splicing original video and ball machine (setting up mapping relations).
C7), repeating step C2-C6, until complete all mapping relations of not splicing original video of panorama splicing video camera, set up.
Introduction by technique scheme can find out, the present embodiment provides a kind of scheme of manually demarcating of being applicable to.The advantage of this scheme is that the precision of reconnaissance is higher, but shortcoming is to use comparatively inconvenience, and reconnaissance bothers.
The defect of manually demarcating in order to overcome upper embodiment, this patent provides a kind of embodiment of automatic Calibration, is that corresponding step C specifically comprises step equally:
C1), controlling each that make ball machine picture and panorama splicing video camera, not splice original video center consistent;
The controlling normally of this step by manual ball-handling, make each ball machine picture and corresponding panorama splicing video camera each not splice original video center consistent, do not splice picture center object of reference at ball machine picture center.
C2), extract the two field picture that each does not splice original video, this image is extracted to sift/surf/harris characteristic point, then characteristic matching, coupling are to adopting least square method to calculate perspective transformation matrix;
C3), by perspective transformation matrix, each is not spliced to ball machine level inclination value and the ball machine vertical dip angle value that original video is estimated its 4 edge angle points;
C4), according to the excursion of not splicing original video PT coordinate, be divided into many parts (generally more than at least 16 parts), according to ball machine level inclination value and the ball machine vertical dip angle value control marble forming machine of every part, arrive relevant position respectively;
C5), position of the every arrival of ball machine, not splicing original video now and ball machine picture are carried out to feature extraction coupling, if match point meets threshold value, preserve corresponding coordinate and ball machine ball machine level inclination value and ball machine vertical dip angle value now;
C6), repeating step C4-C5, until complete all mapping relations of not splicing original video of panorama splicing video camera, set up.
The advantage of the present embodiment is easy and simple to handle, and shortcoming precision is relatively manually low, and while using, and ball machine picture will be with not splice picture center consistent.Add manual correction in automatic Calibration after, can reach degree of precision.
In order to solve the problem of above-mentioned precision deficiency, further, in one embodiment, in above-mentioned automatic calibration method, after step C5, also comprise the step of manual correction, comprising:
The coupling of checking automatic Calibration is right, if there is refer step C4 of error, C5 manually controls ball and adjusts ball machine, obtain at least 6 match points, by the ball machine level inclination value of the coordinate of match point and ball machine, the corresponding grouped record of ball machine vertical dip angle value and ball machine convergent-divergent multiplier value, to the ball machine level inclination value in every group of record, ball machine vertical dip angle value and match point coordinate adopt least square fitting to go out quadratic surface coefficient, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the identifier of the splicing original video of selecting and the ball machine controlled is corresponding, has preserved mapping relations foundation.
In one embodiment, the interlock in described step e specifically comprises step,
E1), according to following the tracks of frame information, calculate the center point coordinate of following the tracks of frame;
E2), according to following the tracks of frame center point coordinate value, locate its affiliated region in panorama splicing picture;
E3), judge whether above-mentioned zone is arranged in the overlapping region of panorama splicing video camera, otherwise the information of obtaining region then performs step E4, is to perform step E5;
E4), according to the splicing inverse transformation of the corresponding sequence number in region, calculate tracking frame central point place and do not splice the coordinate position in original video;
E5), relatively follow the tracks of frame center point coordinate value and overlapping two distances of not splicing the central point of original video, according to the splicing inverse transformation of the corresponding sequence number in nearest region, calculate and follow the tracks of frame central point place and do not splice the coordinate position in original video;
E6), according to the mapping relations of following the tracks of frame central point place and not splicing original video, to follow the tracks of the coordinate position of frame central point, obtain corresponding ball machine level inclination value and ball machine vertical dip angle value.
E7), according to ball machine level inclination value and ball machine vertical dip angle value drive ball machine, adjust.
Take Fig. 1 as example, and it comprises 4 secondary original images, and in figure, A1, A2, A3, A4 are Non-overlapping Domain, B1, B2, B3 are overlapping regions, by certain fusion rule, eliminate splicing seam, when calculating splicing parameter, the coordinate of each region in panorama sketch is known.
Suppose by after above-mentioned steps E1, the center point coordinate that calculates tracking frame is (pt.x, pt.y).
When follow-up judgement, if coordinate (pt.x, pt.y) belong to A1 region, by the projection inverse transformation rule of corresponding A 1, according to the inverse process of splicing, carry out, if (pt.x, pt.y) belong to A2, A3, A4 region, carry out the inverse transformation of corresponding sequence number, calculate the coordinate position (mpt.x, mpt.y) in original image;
And if coordinate (pt.x, pt.y) belong to B1 region, need so to judge that this point is to the distance d1 of original image 1 central point, the distance d2 of original image 2 central points, near apart from which, just adopt the projection inverse transformation rule of corresponding sequence number, calculate the coordinate position (mpt.x, mpt.y) in original image;
Finally, according to demarcating the result of preserving above, read the pan_a[6 of corresponding identifier] and tilt_a[6],
Then according to formula:
The ball machine level inclination value that PAN(need to adjust)=pan_a[1] * X^2+pan_a[2] * XY+pan_a[3] Y^2+pan_a[4] * X+pan_a[5] * Y+pan_a[6] (XY is the center of tracking target frame herein)
In like manner use tilt_a[6] calculate the ball machine vertical dip angle value that TILT(need to adjust).
As an embodiment, after above-mentioned steps C, also comprise and judge whether to demarcate successfully, be to continue, otherwise after the picture of adjusting ball machine each raw frames center-aligned before making it not splice with panorama splicing video camera, go back to the step of step C.
Judgement in the present embodiment demarcates whether success is very important, by increasing this process, makes follow-uply when operation panorama, to have guaranteed that ball machine can complete the effect of rifle ball interlock.
And demarcation in this step judgement whether successfully, the simplest mode is to rely on artificial judgment, by the front single-image of ball machine in calibration process and splicing, demarcate one by one, the complete single-image of every demarcation, can be by clicking single-image scenario A, check whether ball machine can respond A, with this, judge the precision of demarcating successfully and demarcating.
As an embodiment, in above-mentioned steps E, follow the tracks of frame parameter and comprise tracking frame size, follow the tracks of frame positional information.
Tracking frame in existing video monitoring mostly is rectangle, and therefore, correspondence analysis generally obtains and follows the tracks of frame size, follows the tracks of frame positional information, and these two information can be described by upper left, the lower-right most point feature of rectangle.And the obtain manner of parameter is divided into manually and is automatic, manual mode is such as mouse is drawn rectangle in spliced panoramic picture, automatic acquisition is by increase moving object detection in spliced panoramic picture, the common method of moving object detection has frame-to-frame differences method, background subtraction method, optical flow method etc., and the parameter of following the tracks of frame mainly depends on position and the size of moving target.
And follow the tracks of frame size, the effect of following the tracks of frame positional information is mainly for subsequent calculations ball machine response pan (horizontal field of view angle), tilt(vertical field of view angle), zoom(convergent-divergent multiple) these 3 order parameters.
As an embodiment, after above-mentioned steps E, also comprise step F,
F), ball machine image is carried out feature detection and extracts feature and then identify.
By increasing this step, after moving target being detected and focusing on location by ball machine, to capture moving target and obtain after image, system further can detect to extract feature according to feature to image automatically, further carries out corresponding identification of later stage.Because the extraction of feature is to start according to the feature of setting, therefore identification can be more targeted, thereby effectively improve discrimination.
Preferably, above-mentioned feature detection comprises that people's face, vehicle license plate characteristic detect.Wherein people's face is the effective information for personage's identity in monitoring, and car plate is the effective information of distinguishing vehicle, so these two kinds of features can obtain respectively the information of personage, vehicle, so that follow-up identification.
Preferably, in above-mentioned steps, identify by Data Comparison in the feature of extraction and database is identified.Adopt time and the accuracy that identification is compared of guaranteeing that the mode compared with database can be the fastest.
As an embodiment, in step e when detecting moving target, also need to judge whether target number is greater than 1, only have when moving target number is not 0, ball machine just can respond target area and capture, otherwise ball machine is motionless, this place is differentiated to be needed, target number is during more than 1, can the sequence such as put by target frame size, target frame centre distance ball seat in the plane, captures one by one.
Embodiment mono-:
The present embodiment method as shown in Figure 3,
A), in video camera installation process, panorama splicing video camera adopts horizontal connecting method, region makes in installation process to overlap between each picture of panorama splicing video camera, thereby attempt splicing, if splice unsuccessful, adjust each lens direction of panorama splicing video camera, increase lap until can realize panorama splicing.The panorama obtaining as shown in Figure 2, the strip panorama being formed by the picture splicing of a plurality of independent along continuous straight runs.
B), adjust the visual field of panorama splicing video camera, the visual field ball machine in panorama splicing picture can be covered.
C), camera calibration, set up the mapping relations between the position of ball machine and panorama splicing video camera;
D), judgement demarcates whether success, is to continue step, otherwise adjusts ball machine, each raw frames center-aligned before the picture of ball machine is not spliced with panorama splicing video camera arrives basically identical;
Certain object of the center of not splicing single-image that consistent adjustment herein can be spliced video camera by selected panorama, as object of reference (one tree, a static car etc.), is then adjusted ball machine, makes this object of reference also at ball machine picture center.
E), in panorama splicing picture, area-of-interest is set, and add the video analysis functions such as moving object detection in area-of-interest;
F), when area-of-interest analyzes moving target, according to following the tracks of frame position, size etc., calculate corresponding parameter, ball machine responds and is adjusted to moving target place and captures and follow the tracks of a period of time;
G), picture that ball machine capture is preserved can be by people's face, vehicle detection, extract people's face, car plate etc., then by recognition technology and people's face, car plate storehouse, contrasts, and identifies suspicious object.
Embodiment bis-:
The present embodiment method as shown in Figure 5,
A), in video camera installation process, panorama splicing video camera adopts vertical connecting method, region makes in installation process to overlap between each picture of panorama splicing video camera, thereby attempt splicing, if splice unsuccessful, adjust each lens direction of panorama splicing video camera, increase lap until can realize panorama splicing.The panorama obtaining as shown in Figure 4, the strip panorama being formed by a plurality of independent picture splicings vertically.
B), adjust the visual field of panorama splicing video camera, the most of visual field ball machine in panorama splicing picture can be covered.
C), camera calibration, set up the mapping relations between the position of ball machine and panorama splicing video camera;
D), judgement demarcates whether success, is to continue step, otherwise adjusts ball machine, makes the picture of ball machine and the picture center of gunlock basically identical;
E), in panorama splicing picture, area-of-interest is set, and add the video analysis functions such as moving object detection in area-of-interest;
F), when area-of-interest analyzes moving target, according to following the tracks of frame position, size etc., calculate corresponding parameter, ball machine responds and is adjusted to moving target place and captures and follow the tracks of a period of time;
G), picture that ball machine capture is preserved can be by people's face, vehicle detection, extract people's face, car plate etc., then by recognition technology and people's face, car plate storehouse, contrasts, and identifies suspicious object.
Embodiment tri-:
The present embodiment method as shown in Figure 7,
A), in video camera installation process, panorama splicing video camera adopts horizontal vertical connecting method, region makes in installation process to overlap between each picture of panorama splicing video camera, thereby attempt splicing, if splice unsuccessful, adjust each lens direction of panorama splicing video camera, increase lap until can realize panorama splicing.The panorama obtaining as shown in Figure 6, the large scene panorama being formed by a plurality of independent picture splicings along level, vertical direction that distribute by grid.
B), adjust the visual field of panorama splicing video camera, the most of visual field ball machine in panorama splicing picture can be covered.
C), camera calibration, set up the mapping relations between the position of ball machine and panorama splicing video camera;
D), judgement demarcates whether success, is to continue step, otherwise adjusts ball machine, makes the picture of ball machine and the picture center of gunlock basically identical;
E), in panorama splicing picture, area-of-interest is set, and add the video analysis functions such as moving object detection in area-of-interest;
F), when area-of-interest analyzes moving target, according to following the tracks of frame position, size etc., calculate corresponding parameter, ball machine responds and is adjusted to moving target place and captures and follow the tracks of a period of time;
G), picture that ball machine capture is preserved can be by people's face, vehicle detection, extract people's face, car plate etc., then by recognition technology and people's face, car plate storehouse, contrasts, and identifies suspicious object.
The invention still further relates to a kind of panorama splicing linkage based on moving object detection, it comprises:
Splicing arranges module, and for ball machine and panorama splicing video camera are set in control point, panorama splicing video camera employing horizontal/vertical/horizontal vertical connecting method in setting up procedure, realizes panorama and splice by adjusting each lens direction, then forwards adjusting module to;
Adjusting module, for adjusting the visual field of panorama splicing video camera, makes it the visual field in panorama splicing picture and covers the ball machine visual field arranging, and then forwards demarcating module to;
Demarcating module, for spherical displacer machine and panorama splicing video camera, sets up the position mapping relations of ball machine and panorama splicing video camera, then forwards to module is set;
Module is set, for arranging after area-of-interest until panorama splicing picture, this area-of-interest is carried out to moving object detection, then forward motion detection block to;
Motion detection block, detects moving target for working as, and corresponding moving target mark is followed the tracks of frame, according to following the tracks of frame parameter control marble forming machine, adjusts, focuses on shooting tracking target image.
As an embodiment, above-mentioned in, described demarcating module specifically comprises,
Broadcast unit, for playing not splicing original video and the ball machine video of panorama splicing video camera, then forwards selection original video unit to;
Select original video unit, for of unduplicated selection panorama splicing video camera, do not splice original video and then forward characteristic point selected cell to;
Characteristic point selected cell, for characteristic point of the unduplicated selection of not splicing original video in selection by input equipment, the coordinate that records this characteristic point forwards grouped record unit to;
Grouped record unit, for marking the center of ball machine video picture, by controlling, ball machine picture center is fallen in the selected characteristic point in selection original video unit, coordinate grouped record by ball machine level inclination value now, ball machine vertical dip angle value and ball machine convergent-divergent multiplier value character pair point, forwards repetitive to;
Repetitive, then forwards demarcation unit at least 6 times for repeating step characteristic point selected cell, demarcation record cell;
Demarcate unit, for adopting least square fitting to go out quadratic surface coefficient to the ball machine level inclination value of every group of record, ball machine vertical dip angle value and match point coordinate, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the ball machine of controlling in the identifier of the splicing original video of selecting to select in original video unit and grouped record unit is corresponding, preserves mapping relations foundation, then forwarded panorama repetitive to;
Panorama repetitive, selects original video unit, characteristic point selected cell, grouped record unit, repetitive and demarcates unit for repeating step, until complete all mapping relations of not splicing original video of panorama splicing video camera, sets up.
As an embodiment, above-mentioned in, described demarcating module specifically comprises,
Control unit, for controlling each that make ball machine picture and panorama splicing video camera, do not splice the consistent feature extraction unit that then forwards in original video center;
Feature extraction unit, a two field picture that does not splice original video for extracting each, extracts sift/surf/harris characteristic point to this image, and then characteristic matching, coupling then forward margin estimation unit to adopting least square method to calculate perspective transformation matrix;
Margin estimation unit, does not estimate that for each being spliced to original video by perspective transformation matrix the ball machine level inclination value of its 4 edge angle points and ball machine vertical dip angle value then forward ball machine bit cell to;
Ball machine bit cell, one that is used for unduplicated selection panorama splicing video camera does not splice original video, its changes in coordinates scope is divided into many parts, according to ball machine level inclination value and the ball machine vertical dip angle value control marble forming machine arrival relevant position of every part, then forwards matching unit to respectively;
Matching unit, for position of the every arrival of ball machine, not splicing original video now and ball machine picture are carried out to feature extraction coupling, if match point meets threshold value, preserve corresponding coordinate and ball machine level inclination value now and ball machine vertical dip angle value and then forward demarcation unit to;
Demarcate unit, for repeating ball machine bit cell, matching unit, until complete all mapping relations of not splicing original video of panorama splicing video camera, set up.
As an embodiment, in above-mentioned, described demarcation unit forwards manual correction unit to, described manual correction unit is for checking that the coupling of automatic Calibration is right, if there is reference sphere machine bit cell of error, matching unit is manually controlled ball and is adjusted ball machine, obtain at least 6 match points, by the ball machine level inclination value of the coordinate of match point and ball machine, the corresponding grouped record of ball machine vertical dip angle value and ball machine convergent-divergent multiplier value, to the ball machine level inclination value in every group of record, ball machine vertical dip angle value adopts least square fitting to go out quadratic surface coefficient, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the identifier of the splicing original video of selecting and the ball machine controlled is corresponding, has preserved mapping relations foundation.
As an embodiment, above-mentioned in, the interlock of described motion detection block specifically has following unit to realize,
Follow the tracks of frame central point computing unit, for then forwarding panorama zone location unit to according to following the tracks of frame information, calculate the center point coordinate of following the tracks of frame;
Panorama zone location unit, then forwards region decision unit to for locating its region under panorama splicing picture according to tracking frame center point coordinate value;
Region decision unit, for judging whether above-mentioned zone is positioned at the overlapping region of panorama splicing video camera, otherwise the information of obtaining region is then carried out coordinate computing unit, is to carry out comparison coordinate computing unit;
Coordinate computing unit, for calculating and follow the tracks of the coordinate position that original video is not spliced at frame central point place according to the splicing inverse transformation of the corresponding sequence number in region, then forwards ball machine linkage unit to;
Compare coordinate computing unit, for relatively following the tracks of frame center point coordinate value and overlapping two distances of not splicing the central point of original video, according to the splicing inverse transformation of the corresponding sequence number in nearest region, calculate tracking frame central point place and do not splice the coordinate position in original video, then forward ball machine linkage unit to;
Ball machine linkage unit, for the mapping relations of not splicing original video according to tracking frame central point place, to follow the tracks of, the coordinate position of frame central point obtains corresponding ball machine level inclination value and ball machine vertical dip angle value then forwards ball machine performance element to;
Ball machine performance element, adjusts according to ball machine level inclination value and ball machine vertical dip angle value drive ball machine.
As an embodiment, above-mentioned demarcating module forwards locating module to by judge module, and described judge module, for judging whether to demarcate successfully, be to forward to module is set, otherwise the picture of adjusting ball machine make it to go back to demarcating module after the picture center-aligned with panorama splicing video camera.
As an embodiment, above-mentioned motion detection block forwards identification module to after taking tracking target image, and identification module is for carrying out feature detection and extract feature and then identify ball machine image.
As an embodiment, in above-mentioned motion detection block, follow the tracks of frame parameter and comprise tracking frame size, follow the tracks of frame positional information; The identification of described identification module is by identifying Data Comparison in the feature of extraction and database; In identification module, feature detection comprises that people's face, vehicle license plate characteristic detect.
It should be noted that, if aforementioned 3 kinds of connecting methods are as Fig. 2, Fig. 4, Fig. 6, horizontal connecting method commonly at present, be mainly used in monitoring highway, square, warehouse etc., vertical connecting method can be used for the monitoring scenes such as building, bridge, when monitoring scene is airport etc. king-sized local time, independent horizontal and vertical connecting method all can not meet demand, now will consider to adopt horizontal vertical connecting method.
The foregoing is only embodiments of the invention; not thereby limit the scope of the claims of the present invention; every equivalent structure or conversion of equivalent flow process that utilizes specification of the present invention and accompanying drawing content to do; or be directly or indirectly used in other relevant technical field, be all in like manner included in scope of patent protection of the present invention.
Claims (10)
1. the splicing of the panorama based on a moving object detection interlock method, is characterized in that: it comprises step,
A), ball machine and panorama splicing video camera is set in control point, in setting up procedure, panorama splicing video camera adopts horizontal/vertical/horizontal vertical connecting method, by adjusting each lens direction, realizes panorama and splices;
B), adjust the visual field of panorama splicing video camera, make it the visual field in panorama splicing picture and cover the ball machine visual field arranging;
C), spherical displacer machine and panorama splicing video camera, set up the position mapping relations that ball machine and panorama splice video camera;
D), in panorama splicing picture, arrange after area-of-interest, this area-of-interest is carried out to moving object detection;
E), when moving target being detected, corresponding moving target mark is followed the tracks of frame, according to following the tracks of frame parameter, controls interlock ball machine and adjusts, focuses on and take tracking target image.
2. panorama based on moving object detection splicing interlock method as claimed in claim 1, is characterized in that: described step C specifically comprises,
C1), play not splicing original video and the ball machine video of panorama splicing video camera;
C2), one of unduplicated selection panorama splicing video camera does not splice original video;
C3), by input equipment characteristic point of unduplicated selection in the not splicing original video of selecting, record the coordinate of this characteristic point;
C4), mark the center of picture in ball machine video, by controlling, ball machine picture center is fallen in the selected characteristic point of step C2, by the coordinate grouped record of ball machine level inclination value now, ball machine vertical dip angle value and ball machine convergent-divergent multiplier value character pair point;
C5), repeating step C3, C4 are at least 6 times;
C6), to ball machine level inclination value, ball machine vertical dip angle value in every group of record, adopt least square fitting to go out quadratic surface coefficient, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the ball machine of controlling in the identifier of the splicing original video of selecting in step C2 and step C4 is corresponding, has preserved mapping relations foundation;
C7), repeating step C2-C6, until complete all mapping relations of not splicing original video of panorama splicing video camera, set up.
3. panorama based on moving object detection splicing interlock method as claimed in claim 1, is characterized in that: described step C specifically comprises,
C1), controlling each that make ball machine picture and panorama splicing video camera, not splice original video center consistent;
C2), extract the two field picture that each does not splice original video, this image is extracted to sift/surf/harris characteristic point, then characteristic matching, coupling are to adopting least square method to calculate perspective transformation matrix;
C3), by perspective transformation matrix, each is not spliced to ball machine level inclination value and the ball machine vertical dip angle value that original video is estimated its 4 edge angle points;
C4), one of unduplicated selection panorama splicing video camera do not splice original video, its changes in coordinates scope is divided into many parts, according to ball machine level inclination value and the ball machine vertical dip angle value control marble forming machine of every part, arrive relevant position respectively;
C5), position of the every arrival of ball machine, not splicing original video now and ball machine picture are carried out to feature extraction coupling, if match point meets threshold value, preserve corresponding coordinate and ball machine ball machine level inclination value and ball machine vertical dip angle value now;
C6), repeating step C4-C5, until complete all mapping relations of not splicing original video of panorama splicing video camera, set up.
4. the panorama based on moving object detection as claimed in claim 3 splices interlock method, it is characterized in that: after described step C5, also comprise the step of manual correction, comprising:
The coupling of checking automatic Calibration is right, if refer step C4, C5 manually control ball and adjust ball machine error, obtain at least 6 match points, by the corresponding grouped record of the ball machine level inclination value of the coordinate of match point and ball machine, ball machine vertical dip angle value and ball machine convergent-divergent multiplier value, to ball machine level inclination value, ball machine vertical dip angle value in every group of record, adopt least square fitting to go out quadratic surface coefficient, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the identifier of the splicing original video of selecting and the ball machine controlled is corresponding, has preserved mapping relations foundation.
5. the panorama splicing interlock method based on moving object detection as claimed in claim 1, is characterized in that: the interlock in described step e specifically comprises step,
E1), according to following the tracks of frame information, calculate the center point coordinate of following the tracks of frame;
E2), according to following the tracks of frame center point coordinate value, locate its affiliated region in panorama splicing picture;
E3), judge whether above-mentioned zone is arranged in the overlapping region of panorama splicing video camera, otherwise the information of obtaining region then performs step E4, is to perform step E5;
E4), according to the splicing inverse transformation of the corresponding sequence number in region, calculate tracking frame central point place and do not splice the coordinate position in original video;
E5), relatively follow the tracks of frame center point coordinate value and overlapping two distances of not splicing the central point of original video, according to the splicing inverse transformation of the corresponding sequence number in nearest region, calculate and follow the tracks of frame central point place and do not splice the coordinate position in original video;
E6), according to the mapping relations of following the tracks of frame central point place and not splicing original video, to follow the tracks of the coordinate position of frame central point, obtain corresponding ball machine level inclination value and ball machine vertical dip angle value;
E7), according to ball machine level inclination value and ball machine vertical dip angle value drive ball machine, adjust.
6. the panorama based on a moving object detection splicing linkage, is characterized in that: it comprises,
Splicing arranges module, and for ball machine and panorama splicing video camera are set in control point, panorama splicing video camera employing horizontal/vertical/horizontal vertical connecting method in setting up procedure, realizes panorama and splice by adjusting each lens direction, then forwards adjusting module to;
Adjusting module, for adjusting the visual field of panorama splicing video camera, makes it the visual field in panorama splicing picture and covers the ball machine visual field arranging, and then forwards demarcating module to;
Demarcating module, for spherical displacer machine and panorama splicing video camera, sets up the position mapping relations of ball machine and panorama splicing video camera, then forwards to module is set;
Module is set, for arranging after area-of-interest until panorama splicing picture, this area-of-interest is carried out to moving object detection, then forward motion detection block to;
Motion detection block, detects moving target for working as, and corresponding moving target mark is followed the tracks of frame, according to following the tracks of frame parameter control marble forming machine, adjusts, focuses on shooting tracking target image.
7. panorama based on moving object detection splicing linkage as claimed in claim 6, is characterized in that: described demarcating module specifically comprises,
Broadcast unit, for playing not splicing original video and the ball machine video of panorama splicing video camera, then forwards selection original video unit to;
Select original video unit, for of unduplicated selection panorama splicing video camera, do not splice original video and then forward characteristic point selected cell to;
Characteristic point selected cell, for characteristic point of the unduplicated selection of not splicing original video in selection by input equipment, the coordinate that records this characteristic point forwards grouped record unit to;
Grouped record unit, for marking the center of ball machine video picture, by controlling, ball machine picture center is fallen in the selected characteristic point in selection original video unit, coordinate grouped record by ball machine level inclination value now, ball machine vertical dip angle value and ball machine convergent-divergent multiplier value character pair point, forwards repetitive to;
Repetitive, then forwards demarcation unit at least 6 times for repeating step characteristic point selected cell, demarcation record cell;
Demarcate unit, for adopting least square fitting to go out quadratic surface coefficient to the ball machine level inclination value of every group of record, ball machine vertical dip angle value, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the ball machine of controlling in the identifier of the splicing original video of selecting to select in original video unit and grouped record unit is corresponding, preserves mapping relations foundation, then forwarded panorama repetitive to;
Panorama repetitive, selects original video unit, characteristic point selected cell, grouped record unit, repetitive and demarcates unit for repeating step, until complete all mapping relations of not splicing original video of panorama splicing video camera, sets up.
8. panorama based on moving object detection splicing linkage as claimed in claim 6, is characterized in that: described demarcating module specifically comprises,
Control unit, for controlling each that make ball machine picture and panorama splicing video camera, do not splice the consistent feature extraction unit that then forwards in original video center;
Feature extraction unit, a two field picture that does not splice original video for extracting each, extracts sift/surf/harris characteristic point to this image, and then characteristic matching, coupling then forward margin estimation unit to adopting least square method to calculate perspective transformation matrix;
Margin estimation unit, does not estimate that for each being spliced to original video by perspective transformation matrix the ball machine level inclination value of its 4 edge angle points and ball machine vertical dip angle value then forward ball machine bit cell to;
Ball machine bit cell, one that is used for unduplicated selection panorama splicing video camera does not splice original video, its changes in coordinates scope is divided into many parts, according to ball machine level inclination value and the ball machine vertical dip angle value control marble forming machine arrival relevant position of every part, then forwards matching unit to respectively;
Matching unit, for position of the every arrival of ball machine, not splicing original video now and ball machine picture are carried out to feature extraction coupling, if match point meets, threshold value is preserved corresponding coordinate and ball machine ball machine level inclination value and ball machine vertical dip angle value now then forwards demarcation unit to;
Demarcate unit, for repeating ball machine bit cell, matching unit, until complete all mapping relations of not splicing original video of panorama splicing video camera, set up.
9. the panorama based on moving object detection as claimed in claim 8 splices linkage, it is characterized in that: described demarcation unit forwards manual correction unit to, described manual correction unit is for checking that the coupling of automatic Calibration is right, if there is reference sphere machine bit cell of error, matching unit is manually controlled ball and is adjusted ball machine, obtain at least 6 match points, by the ball machine level inclination value of the coordinate of match point and ball machine, the corresponding grouped record of ball machine vertical dip angle value and ball machine convergent-divergent multiplier value, to the ball machine level inclination value in every group of record, ball machine vertical dip angle value adopts least square fitting to go out quadratic surface coefficient, using this quadratic surface coefficient as calibration coefficient, together with the identifier of the identifier of the splicing original video of selecting and the ball machine controlled is corresponding, has preserved mapping relations foundation.
10. the panorama splicing linkage based on moving object detection as claimed in claim 6, is characterized in that: the interlock of described motion detection block specifically has following unit to realize,
Follow the tracks of frame central point computing unit, for then forwarding panorama zone location unit to according to following the tracks of frame information, calculate the center point coordinate of following the tracks of frame;
Panorama zone location unit, then forwards region decision unit to for locating its region under panorama splicing picture according to tracking frame center point coordinate value;
Region decision unit, for judging whether above-mentioned zone is positioned at the overlapping region of panorama splicing video camera, otherwise the information of obtaining region is then carried out coordinate computing unit, is to carry out comparison coordinate computing unit;
Coordinate computing unit, for calculating and follow the tracks of the coordinate position that original video is not spliced at frame central point place according to the splicing inverse transformation of the corresponding sequence number in region, then forwards ball machine linkage unit to;
Compare coordinate computing unit, for relatively following the tracks of frame center point coordinate value and overlapping two distances of not splicing the central point of original video, according to the splicing inverse transformation of the corresponding sequence number in nearest region, calculate tracking frame central point place and do not splice the coordinate position in original video, then forward ball machine linkage unit to;
Ball machine linkage unit, for the mapping relations of not splicing original video according to tracking frame central point place, to follow the tracks of, the coordinate position of frame central point obtains corresponding ball machine level inclination value and ball machine vertical dip angle value then forwards ball machine performance element to;
Ball machine performance element, adjusts according to ball machine level inclination value and ball machine vertical dip angle value drive ball machine.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410008471.7A CN103716594B (en) | 2014-01-08 | 2014-01-08 | Panorama splicing linkage method and device based on moving target detecting |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410008471.7A CN103716594B (en) | 2014-01-08 | 2014-01-08 | Panorama splicing linkage method and device based on moving target detecting |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103716594A true CN103716594A (en) | 2014-04-09 |
| CN103716594B CN103716594B (en) | 2017-02-22 |
Family
ID=50409119
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410008471.7A Active CN103716594B (en) | 2014-01-08 | 2014-01-08 | Panorama splicing linkage method and device based on moving target detecting |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103716594B (en) |
Cited By (51)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104167109A (en) * | 2014-07-17 | 2014-11-26 | 浙江宇视科技有限公司 | Detection method and detection apparatus for vehicle position |
| CN104243849A (en) * | 2014-09-02 | 2014-12-24 | 苏州阔地网络科技有限公司 | Online classroom directed broadcasting control method and system |
| CN104754231A (en) * | 2015-03-31 | 2015-07-01 | 广东欧珀移动通信有限公司 | People video shooting method and device |
| CN104902236A (en) * | 2015-05-27 | 2015-09-09 | 深圳英飞拓科技股份有限公司 | Linkage control method and device for monitoring equipment |
| CN105208323A (en) * | 2015-07-31 | 2015-12-30 | 深圳英飞拓科技股份有限公司 | Panoramic splicing picture monitoring method and panoramic splicing picture monitoring device |
| CN105208327A (en) * | 2015-08-31 | 2015-12-30 | 深圳市佳信捷技术股份有限公司 | Master/slave camera intelligent monitoring method and device |
| CN105354813A (en) * | 2014-08-18 | 2016-02-24 | 杭州海康威视数字技术股份有限公司 | Method and device for driving pan-tilt-zoom (PTZ) to generate spliced image |
| CN105869330A (en) * | 2016-04-27 | 2016-08-17 | 莫晨虹 | Security protection monitor for preventing illegal encroachment on office building |
| CN106210631A (en) * | 2016-07-16 | 2016-12-07 | 惠州学院 | The system for rapidly identifying of a kind of different angles video object and method |
| CN106791715A (en) * | 2017-02-24 | 2017-05-31 | 深圳英飞拓科技股份有限公司 | Classification joint control intelligent control method and system |
| CN106780613A (en) * | 2015-11-24 | 2017-05-31 | 杭州海康威视数字技术股份有限公司 | The method for visualizing and its system of multi-cam calibration result |
| CN106791710A (en) * | 2017-02-10 | 2017-05-31 | 北京地平线信息技术有限公司 | Object detection method, device and electronic equipment |
| CN107370994A (en) * | 2017-08-15 | 2017-11-21 | 深圳云天励飞技术有限公司 | Marine site overall view monitoring method, device, server and system |
| CN107529021A (en) * | 2017-10-18 | 2017-12-29 | 北京伟开赛德科技发展有限公司 | The collection of tunnel type panoramic video, distribution, locating and tracking system and its method |
| CN107995468A (en) * | 2017-12-19 | 2018-05-04 | 天津天地伟业信息系统集成有限公司 | The full-time monitoring device of panorama and monitoring method |
| CN108038423A (en) * | 2017-11-22 | 2018-05-15 | 广东数相智能科技有限公司 | The recognition methods of automotive type based on image recognition and device |
| CN108174152A (en) * | 2017-12-28 | 2018-06-15 | 深圳英飞拓科技股份有限公司 | A kind of target monitoring method and target monitor system |
| CN108230348A (en) * | 2016-12-22 | 2018-06-29 | 杭州海康威视数字技术股份有限公司 | A kind of method for tracking target and device |
| CN108377407A (en) * | 2016-11-04 | 2018-08-07 | 株式会社理光 | Processing method, device and the electronic equipment of panoramic video |
| CN108437898A (en) * | 2018-05-12 | 2018-08-24 | 吉林大学 | A kind of environment sensing device based on eye-tracking |
| CN108510497A (en) * | 2018-04-10 | 2018-09-07 | 四川和生视界医药技术开发有限公司 | The display methods and display device of retinal images lesion information |
| CN109300084A (en) * | 2017-07-25 | 2019-02-01 | 杭州海康汽车技术有限公司 | A kind of image split-joint method, device, electronic equipment and storage medium |
| CN109525816A (en) * | 2018-12-10 | 2019-03-26 | 北京智汇云舟科技有限公司 | A kind of more ball fusion linked systems of multiple gun based on three-dimensional geographic information and method |
| CN109613935A (en) * | 2018-12-05 | 2019-04-12 | 苏州博众机器人有限公司 | A kind of overall view monitoring method, system, equipment and storage medium |
| CN109712193A (en) * | 2018-12-04 | 2019-05-03 | 浙江大华技术股份有限公司 | A kind of determination method and device of ball machine field angle |
| CN109982030A (en) * | 2017-12-27 | 2019-07-05 | 杭州海康威视数字技术股份有限公司 | A kind of target object grasp shoot method, device, video monitoring equipment and storage medium |
| CN109996055A (en) * | 2017-12-06 | 2019-07-09 | 杜比实验室特许公司 | Position zero time delay |
| CN110351520A (en) * | 2019-07-11 | 2019-10-18 | 深圳市华方信息产业有限公司 | A kind of movable body image trace acquisition methods and its system |
| CN110445966A (en) * | 2019-08-09 | 2019-11-12 | 北京润博互联数字科技有限公司 | A kind of panorama camera video capture method, apparatus, electronic equipment and storage medium |
| CN110930437A (en) * | 2019-11-20 | 2020-03-27 | 北京拙河科技有限公司 | Target tracking method and device |
| CN111179305A (en) * | 2018-11-13 | 2020-05-19 | 晶睿通讯股份有限公司 | Object position estimation method and object position estimation device |
| CN111246172A (en) * | 2020-01-20 | 2020-06-05 | 深圳英飞拓科技股份有限公司 | Linkage image acquisition device and image acquisition method |
| CN111369684A (en) * | 2019-12-10 | 2020-07-03 | 杭州海康威视系统技术有限公司 | Target tracking method, device, equipment and storage medium |
| CN111405196A (en) * | 2019-12-31 | 2020-07-10 | 智慧互通科技有限公司 | Vehicle management method and system based on video splicing |
| CN111491140A (en) * | 2020-05-15 | 2020-08-04 | 深圳金三立视频科技股份有限公司 | Power transmission cable video line patrol method and terminal |
| CN111565299A (en) * | 2020-05-06 | 2020-08-21 | 苏州新舟锐视信息技术科技有限公司 | Method for capturing targets through linkage of multiple vehicle-mounted guns and one dome camera |
| CN111581587A (en) * | 2020-04-29 | 2020-08-25 | 苏州新舟锐视信息技术科技有限公司 | Gun and ball linkage coordinate correlation method based on surface fitting |
| CN111698455A (en) * | 2019-03-13 | 2020-09-22 | 华为技术有限公司 | Method, device and medium for controlling linkage of ball machine and gun machine |
| CN111866437A (en) * | 2020-06-30 | 2020-10-30 | 厦门亿联网络技术股份有限公司 | Automatic switching method and device for double cameras of video conference |
| CN111914592A (en) * | 2019-05-08 | 2020-11-10 | 杭州海康威视数字技术股份有限公司 | Multi-camera combined evidence obtaining method, device and system |
| CN112399033A (en) * | 2019-08-14 | 2021-02-23 | 杭州海康威视数字技术股份有限公司 | Camera assembly and monitoring camera |
| CN112884803A (en) * | 2020-08-18 | 2021-06-01 | 眸芯科技（上海）有限公司 | Real-time intelligent monitoring target detection method and device based on DSP |
| CN112967183A (en) * | 2021-01-30 | 2021-06-15 | 惠州华阳通用电子有限公司 | Panoramic picture splicing method and storage medium |
| CN113038031A (en) * | 2021-03-02 | 2021-06-25 | 天津天地伟业智能安全防范科技有限公司 | Gun and ball linkage calibration method and device, electronic equipment and storage medium |
| WO2021128747A1 (en) * | 2019-12-23 | 2021-07-01 | 深圳市鸿合创新信息技术有限责任公司 | Monitoring method, apparatus, and system, electronic device, and storage medium |
| CN113301273A (en) * | 2021-05-24 | 2021-08-24 | 浙江大华技术股份有限公司 | Method and device for determining tracking mode, storage medium and electronic device |
| CN113572960A (en) * | 2021-07-23 | 2021-10-29 | 武汉星环恒宇信息科技有限公司 | Video rapid label positioning method for water affair prevention and control |
| CN114520879A (en) * | 2022-04-21 | 2022-05-20 | 浙江宇视科技有限公司 | Radar vision cooperative video acquisition method, device and system and storage medium |
| CN116887057A (en) * | 2023-09-06 | 2023-10-13 | 北京立同新元科技有限公司 | Intelligent video monitoring system |
| CN117255247A (en) * | 2023-11-14 | 2023-12-19 | 智广海联(天津)大数据技术有限公司 | Method and device for linkage of panoramic camera and detail dome camera |
| CN112437286B (en) * | 2020-11-23 | 2024-04-26 | 成都易瞳科技有限公司 | Panoramic original picture video block transmission method |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108134923A (en) * | 2017-12-25 | 2018-06-08 | 天津天地伟业电子工业制造有限公司 | A kind of panorama intelligent integrated linkage |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060028550A1 (en) * | 2004-08-06 | 2006-02-09 | Palmer Robert G Jr | Surveillance system and method |
| US7012637B1 (en) * | 2001-07-27 | 2006-03-14 | Be Here Corporation | Capture structure for alignment of multi-camera capture systems |
| CN101378501A (en) * | 2008-10-10 | 2009-03-04 | 天津市亚安科技电子有限公司 | Ganged monitoring apparatus for infrared panorama and control method thereof |
| CN101707671A (en) * | 2009-11-30 | 2010-05-12 | 杭州普维光电技术有限公司 | Panoramic camera and PTZ camera combined control method and panoramic camera and PTZ camera combined control device |
| CN101833231A (en) * | 2010-03-19 | 2010-09-15 | 中国人民解放军国防科学技术大学 | Device and method for adjusting view field of spliced panoramic camera |
| CN102148965A (en) * | 2011-05-09 | 2011-08-10 | 上海芯启电子科技有限公司 | Video monitoring system for multi-target tracking close-up shooting |
| CN102902884A (en) * | 2012-09-24 | 2013-01-30 | 天津市亚安科技股份有限公司 | PTZ (pan/tilt/zoom) camera automatic positioning and angle calculating method |
| CN103105858A (en) * | 2012-12-29 | 2013-05-15 | 上海安维尔信息科技有限公司 | Method capable of amplifying and tracking goal in master-slave mode between fixed camera and pan tilt zoom camera |
| CN103198487A (en) * | 2013-04-15 | 2013-07-10 | 厦门博聪信息技术有限公司 | Automatic calibration method for video monitoring system |
| CN103327238A (en) * | 2013-05-29 | 2013-09-25 | 山西绿色光电产业科学技术研究院（有限公司） | Space registering method based on panoramic all-in-one speed dome camera |
-
2014
- 2014-01-08 CN CN201410008471.7A patent/CN103716594B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7012637B1 (en) * | 2001-07-27 | 2006-03-14 | Be Here Corporation | Capture structure for alignment of multi-camera capture systems |
| US20060028550A1 (en) * | 2004-08-06 | 2006-02-09 | Palmer Robert G Jr | Surveillance system and method |
| CN101378501A (en) * | 2008-10-10 | 2009-03-04 | 天津市亚安科技电子有限公司 | Ganged monitoring apparatus for infrared panorama and control method thereof |
| CN101707671A (en) * | 2009-11-30 | 2010-05-12 | 杭州普维光电技术有限公司 | Panoramic camera and PTZ camera combined control method and panoramic camera and PTZ camera combined control device |
| CN101833231A (en) * | 2010-03-19 | 2010-09-15 | 中国人民解放军国防科学技术大学 | Device and method for adjusting view field of spliced panoramic camera |
| CN102148965A (en) * | 2011-05-09 | 2011-08-10 | 上海芯启电子科技有限公司 | Video monitoring system for multi-target tracking close-up shooting |
| CN102902884A (en) * | 2012-09-24 | 2013-01-30 | 天津市亚安科技股份有限公司 | PTZ (pan/tilt/zoom) camera automatic positioning and angle calculating method |
| CN103105858A (en) * | 2012-12-29 | 2013-05-15 | 上海安维尔信息科技有限公司 | Method capable of amplifying and tracking goal in master-slave mode between fixed camera and pan tilt zoom camera |
| CN103198487A (en) * | 2013-04-15 | 2013-07-10 | 厦门博聪信息技术有限公司 | Automatic calibration method for video monitoring system |
| CN103327238A (en) * | 2013-05-29 | 2013-09-25 | 山西绿色光电产业科学技术研究院（有限公司） | Space registering method based on panoramic all-in-one speed dome camera |
Cited By (79)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104167109B (en) * | 2014-07-17 | 2016-08-24 | 浙江宇视科技有限公司 | The detection method of vehicle location and detection device |
| CN104167109A (en) * | 2014-07-17 | 2014-11-26 | 浙江宇视科技有限公司 | Detection method and detection apparatus for vehicle position |
| CN105354813B (en) * | 2014-08-18 | 2018-11-23 | 杭州海康威视数字技术股份有限公司 | Holder is driven to generate the method and device of stitching image |
| CN105354813A (en) * | 2014-08-18 | 2016-02-24 | 杭州海康威视数字技术股份有限公司 | Method and device for driving pan-tilt-zoom (PTZ) to generate spliced image |
| CN104243849A (en) * | 2014-09-02 | 2014-12-24 | 苏州阔地网络科技有限公司 | Online classroom directed broadcasting control method and system |
| CN104754231A (en) * | 2015-03-31 | 2015-07-01 | 广东欧珀移动通信有限公司 | People video shooting method and device |
| CN104754231B (en) * | 2015-03-31 | 2019-02-19 | Oppo广东移动通信有限公司 | Shoot the method and device of personage's video |
| CN104902236A (en) * | 2015-05-27 | 2015-09-09 | 深圳英飞拓科技股份有限公司 | Linkage control method and device for monitoring equipment |
| CN105208323A (en) * | 2015-07-31 | 2015-12-30 | 深圳英飞拓科技股份有限公司 | Panoramic splicing picture monitoring method and panoramic splicing picture monitoring device |
| CN105208327A (en) * | 2015-08-31 | 2015-12-30 | 深圳市佳信捷技术股份有限公司 | Master/slave camera intelligent monitoring method and device |
| CN106780613A (en) * | 2015-11-24 | 2017-05-31 | 杭州海康威视数字技术股份有限公司 | The method for visualizing and its system of multi-cam calibration result |
| CN105869330A (en) * | 2016-04-27 | 2016-08-17 | 莫晨虹 | Security protection monitor for preventing illegal encroachment on office building |
| CN105869330B (en) * | 2016-04-27 | 2018-03-23 | 深圳市万佳安物联科技股份有限公司 | A kind of safety monitoring device for office building anti-illegal-inbreak |
| CN106210631A (en) * | 2016-07-16 | 2016-12-07 | 惠州学院 | The system for rapidly identifying of a kind of different angles video object and method |
| CN108377407B (en) * | 2016-11-04 | 2021-03-12 | 株式会社理光 | Panoramic video processing method and device and electronic equipment |
| CN108377407A (en) * | 2016-11-04 | 2018-08-07 | 株式会社理光 | Processing method, device and the electronic equipment of panoramic video |
| CN108230348A (en) * | 2016-12-22 | 2018-06-29 | 杭州海康威视数字技术股份有限公司 | A kind of method for tracking target and device |
| CN106791710A (en) * | 2017-02-10 | 2017-05-31 | 北京地平线信息技术有限公司 | Object detection method, device and electronic equipment |
| CN106791710B (en) * | 2017-02-10 | 2020-12-04 | 北京地平线信息技术有限公司 | Target detection method and device and electronic equipment |
| CN106791715A (en) * | 2017-02-24 | 2017-05-31 | 深圳英飞拓科技股份有限公司 | Classification joint control intelligent control method and system |
| CN109300084B (en) * | 2017-07-25 | 2023-07-04 | 杭州海康汽车技术有限公司 | Image stitching method and device, electronic equipment and storage medium |
| CN109300084A (en) * | 2017-07-25 | 2019-02-01 | 杭州海康汽车技术有限公司 | A kind of image split-joint method, device, electronic equipment and storage medium |
| CN107370994B (en) * | 2017-08-15 | 2018-11-02 | 深圳云天励飞技术有限公司 | Marine site overall view monitoring method, device, server and system |
| CN107370994A (en) * | 2017-08-15 | 2017-11-21 | 深圳云天励飞技术有限公司 | Marine site overall view monitoring method, device, server and system |
| CN107529021A (en) * | 2017-10-18 | 2017-12-29 | 北京伟开赛德科技发展有限公司 | The collection of tunnel type panoramic video, distribution, locating and tracking system and its method |
| CN108038423A (en) * | 2017-11-22 | 2018-05-15 | 广东数相智能科技有限公司 | The recognition methods of automotive type based on image recognition and device |
| CN108038423B (en) * | 2017-11-22 | 2022-03-04 | 广东数相智能科技有限公司 | Automobile type identification method and device based on image identification |
| CN109996055B (en) * | 2017-12-06 | 2022-08-12 | 杜比实验室特许公司 | Position zero time delay |
| CN109996055A (en) * | 2017-12-06 | 2019-07-09 | 杜比实验室特许公司 | Position zero time delay |
| US11706403B2 (en) | 2017-12-06 | 2023-07-18 | Dolby Laboratories Licensing Corporation | Positional zero latency |
| CN107995468A (en) * | 2017-12-19 | 2018-05-04 | 天津天地伟业信息系统集成有限公司 | The full-time monitoring device of panorama and monitoring method |
| CN109982030B (en) * | 2017-12-27 | 2021-01-08 | 杭州海康威视数字技术股份有限公司 | Target object snapshot method and device, video monitoring equipment and storage medium |
| CN109982030A (en) * | 2017-12-27 | 2019-07-05 | 杭州海康威视数字技术股份有限公司 | A kind of target object grasp shoot method, device, video monitoring equipment and storage medium |
| CN108174152A (en) * | 2017-12-28 | 2018-06-15 | 深圳英飞拓科技股份有限公司 | A kind of target monitoring method and target monitor system |
| CN108510497A (en) * | 2018-04-10 | 2018-09-07 | 四川和生视界医药技术开发有限公司 | The display methods and display device of retinal images lesion information |
| CN108510497B (en) * | 2018-04-10 | 2022-04-26 | 四川和生视界医药技术开发有限公司 | Method and device for displaying focus information of retina image |
| CN108437898A (en) * | 2018-05-12 | 2018-08-24 | 吉林大学 | A kind of environment sensing device based on eye-tracking |
| CN111179305B (en) * | 2018-11-13 | 2023-11-14 | 晶睿通讯股份有限公司 | Object position estimation method and object position estimation device thereof |
| CN111179305A (en) * | 2018-11-13 | 2020-05-19 | 晶睿通讯股份有限公司 | Object position estimation method and object position estimation device |
| US11575838B2 (en) | 2018-12-04 | 2023-02-07 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for determining a target field angle of an image capturing device |
| CN109712193A (en) * | 2018-12-04 | 2019-05-03 | 浙江大华技术股份有限公司 | A kind of determination method and device of ball machine field angle |
| CN109613935A (en) * | 2018-12-05 | 2019-04-12 | 苏州博众机器人有限公司 | A kind of overall view monitoring method, system, equipment and storage medium |
| CN109525816A (en) * | 2018-12-10 | 2019-03-26 | 北京智汇云舟科技有限公司 | A kind of more ball fusion linked systems of multiple gun based on three-dimensional geographic information and method |
| CN111698455A (en) * | 2019-03-13 | 2020-09-22 | 华为技术有限公司 | Method, device and medium for controlling linkage of ball machine and gun machine |
| CN111914592B (en) * | 2019-05-08 | 2023-09-05 | 杭州海康威视数字技术股份有限公司 | Multi-camera combined evidence obtaining method, device and system |
| CN111914592A (en) * | 2019-05-08 | 2020-11-10 | 杭州海康威视数字技术股份有限公司 | Multi-camera combined evidence obtaining method, device and system |
| CN110351520A (en) * | 2019-07-11 | 2019-10-18 | 深圳市华方信息产业有限公司 | A kind of movable body image trace acquisition methods and its system |
| CN110351520B (en) * | 2019-07-11 | 2021-06-22 | 深圳市华方信息产业有限公司 | Moving body image tracking and acquiring method and system |
| CN110445966B (en) * | 2019-08-09 | 2021-09-21 | 润博全景文旅科技有限公司 | Panoramic camera video shooting method and device, electronic equipment and storage medium |
| CN110445966A (en) * | 2019-08-09 | 2019-11-12 | 北京润博互联数字科技有限公司 | A kind of panorama camera video capture method, apparatus, electronic equipment and storage medium |
| CN112399033A (en) * | 2019-08-14 | 2021-02-23 | 杭州海康威视数字技术股份有限公司 | Camera assembly and monitoring camera |
| US11638071B2 (en) | 2019-08-14 | 2023-04-25 | Hangzhou Hikvision Digital Technology Co., Ltd. | Camera assembly and monitoring camera |
| CN112399033B (en) * | 2019-08-14 | 2022-04-15 | 杭州海康威视数字技术股份有限公司 | Camera assembly and monitoring camera |
| CN110930437A (en) * | 2019-11-20 | 2020-03-27 | 北京拙河科技有限公司 | Target tracking method and device |
| CN111369684B (en) * | 2019-12-10 | 2023-09-01 | 杭州海康威视系统技术有限公司 | Target tracking method, device, equipment and storage medium |
| CN111369684A (en) * | 2019-12-10 | 2020-07-03 | 杭州海康威视系统技术有限公司 | Target tracking method, device, equipment and storage medium |
| WO2021128747A1 (en) * | 2019-12-23 | 2021-07-01 | 深圳市鸿合创新信息技术有限责任公司 | Monitoring method, apparatus, and system, electronic device, and storage medium |
| CN111405196A (en) * | 2019-12-31 | 2020-07-10 | 智慧互通科技有限公司 | Vehicle management method and system based on video splicing |
| CN111246172A (en) * | 2020-01-20 | 2020-06-05 | 深圳英飞拓科技股份有限公司 | Linkage image acquisition device and image acquisition method |
| CN111581587A (en) * | 2020-04-29 | 2020-08-25 | 苏州新舟锐视信息技术科技有限公司 | Gun and ball linkage coordinate correlation method based on surface fitting |
| CN111565299A (en) * | 2020-05-06 | 2020-08-21 | 苏州新舟锐视信息技术科技有限公司 | Method for capturing targets through linkage of multiple vehicle-mounted guns and one dome camera |
| CN111491140A (en) * | 2020-05-15 | 2020-08-04 | 深圳金三立视频科技股份有限公司 | Power transmission cable video line patrol method and terminal |
| CN111491140B (en) * | 2020-05-15 | 2021-05-11 | 深圳金三立视频科技股份有限公司 | Power transmission cable video line patrol method and terminal |
| CN111866437B (en) * | 2020-06-30 | 2022-04-08 | 厦门亿联网络技术股份有限公司 | Automatic switching method and device for double cameras of video conference, terminal equipment and storage medium |
| CN111866437A (en) * | 2020-06-30 | 2020-10-30 | 厦门亿联网络技术股份有限公司 | Automatic switching method and device for double cameras of video conference |
| CN112884803A (en) * | 2020-08-18 | 2021-06-01 | 眸芯科技（上海）有限公司 | Real-time intelligent monitoring target detection method and device based on DSP |
| CN112884803B (en) * | 2020-08-18 | 2023-11-24 | 眸芯科技（上海）有限公司 | Real-time intelligent monitoring target detection method and device based on DSP |
| CN112437286B (en) * | 2020-11-23 | 2024-04-26 | 成都易瞳科技有限公司 | Panoramic original picture video block transmission method |
| CN112967183A (en) * | 2021-01-30 | 2021-06-15 | 惠州华阳通用电子有限公司 | Panoramic picture splicing method and storage medium |
| CN113038031A (en) * | 2021-03-02 | 2021-06-25 | 天津天地伟业智能安全防范科技有限公司 | Gun and ball linkage calibration method and device, electronic equipment and storage medium |
| CN113301273A (en) * | 2021-05-24 | 2021-08-24 | 浙江大华技术股份有限公司 | Method and device for determining tracking mode, storage medium and electronic device |
| CN113572960A (en) * | 2021-07-23 | 2021-10-29 | 武汉星环恒宇信息科技有限公司 | Video rapid label positioning method for water affair prevention and control |
| CN113572960B (en) * | 2021-07-23 | 2023-11-14 | 武汉星环恒宇信息科技有限公司 | Video quick tag positioning method for water affair prevention and control |
| CN114520879A (en) * | 2022-04-21 | 2022-05-20 | 浙江宇视科技有限公司 | Radar vision cooperative video acquisition method, device and system and storage medium |
| CN114520879B (en) * | 2022-04-21 | 2022-09-06 | 浙江宇视科技有限公司 | Radar vision cooperative video acquisition method, device and system and storage medium |
| CN116887057A (en) * | 2023-09-06 | 2023-10-13 | 北京立同新元科技有限公司 | Intelligent video monitoring system |
| CN116887057B (en) * | 2023-09-06 | 2023-11-14 | 北京立同新元科技有限公司 | Intelligent video monitoring system |
| CN117255247A (en) * | 2023-11-14 | 2023-12-19 | 智广海联(天津)大数据技术有限公司 | Method and device for linkage of panoramic camera and detail dome camera |
| CN117255247B (en) * | 2023-11-14 | 2024-01-09 | 智广海联(天津)大数据技术有限公司 | Method and device for linkage of panoramic camera and detail dome camera |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103716594B (en) | 2017-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103716594A (en) | Panorama splicing linkage method and device based on moving target detecting | |
| CN103716595A (en) | Linkage control method and device for panoramic mosaic camera and dome camera | |
| CN105894702B (en) | A kind of intrusion detection warning system and its detection method based on multiple-camera data fusion | |
| CN109887040B (en) | Moving target active sensing method and system for video monitoring | |
| CN109922250B (en) | Target object snapshot method and device and video monitoring equipment | |
| CN104754302B (en) | A kind of target detection tracking method based on rifle ball linked system | |
| US10445887B2 (en) | Tracking processing device and tracking processing system provided with same, and tracking processing method | |
| US10327045B2 (en) | Image processing method, image processing device and monitoring system | |
| US11107246B2 (en) | Method and device for capturing target object and video monitoring device | |
| CN108839016B (en) | Robot inspection method, storage medium, computer equipment and inspection robot | |
| CN103167270B (en) | Personnel's head image pickup method, system and server | |
| CN105898107B (en) | A kind of target object grasp shoot method and system | |
| CN101814130A (en) | Iris identification device by using camera array and multimodal biometrics identification method | |
| CN102938827A (en) | Stratified monitoring command system and cross-camera virtual tracking method | |
| CN105578044A (en) | Panoramic view adaptive teacher image analysis method | |
| CN102136147A (en) | Target detecting and tracking method, system and video monitoring device | |
| TWI489326B (en) | Operating area determination method and system | |
| CN109905641B (en) | Target monitoring method, device, equipment and system | |
| CN102414717A (en) | Method of selecting an optimal viewing angle position for a camera | |
| CN111242025A (en) | Action real-time monitoring method based on YOLO | |
| CN104902236A (en) | Linkage control method and device for monitoring equipment | |
| KR20130114899A (en) | Image sensing method using dual camera and apparatus thereof | |
| CN105208349A (en) | Method for controlling automatic following shot of cameras according to number of people on game site | |
| CN107547865A (en) | Trans-regional human body video frequency object tracking intelligent control method | |
| CN105245845A (en) | Method for controlling camera to follow and shoot automatically based on gathering trend in match field |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |