CN201726494U - Device and system which utilize image color information to conduct image comparison - Google Patents
Device and system which utilize image color information to conduct image comparison Download PDFInfo
- Publication number
- CN201726494U CN201726494U CN2009202987328U CN200920298732U CN201726494U CN 201726494 U CN201726494 U CN 201726494U CN 2009202987328 U CN2009202987328 U CN 2009202987328U CN 200920298732 U CN200920298732 U CN 200920298732U CN 201726494 U CN201726494 U CN 201726494U
- Authority
- CN
- China
- Prior art keywords
- image
- information
- comparison
- color
- unit
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The utility model relates to a device and a system which utilize image color information to conduct image comparison. According to the optimum embodiment of the device, consecutive images are first collected by an image collection unit and stored in a temporary memory, and an image processing program is then executed by a processing unit. Reference images and subsequent images are chosen from the consecutive images, color space conversion is conducted by an image processing module, and in particular, the reference images and the subsequent images are converted into a HSI (hue, saturation and intensity) color space from the original color space. The color features of specific objects are collected, matching operation is conducted and used as the reference for judging objects, and results are sent back to the processing unit.
Description
Technical field
The utility model relates to a kind of device and system that utilizes image color information and executing image comparison, particularly carries out the chrominance space conversion at the image that is captured in a camera, and only keeps wherein color information as the basis of image comparison.
Background technology
(Intelligent Video Surveillance, IVS) system is that a kind of monitor and Security Officer by Close Circuit Television (CCTV) network, control desk constitutes to intelligent video monitoring.Intelligent video monitoring system in develop actively, can pass through digital image analysis, captured image is carried out characteristics of imageization, diversity ratio equity image processing flow process, find out mobile image or analyze significant information, and then reaching automatic tracking, judgement, the auxiliary security personnel find out suspect object.
In known technology, the monitoring mode that uses the closed-circuit television video recording to cooperate the Security Officer is arranged, and this type of monitoring mode can be judged suspect object except the Security Officer scene, normally after particular event takes place, by inspecting the video recording content, the picture that leans on the monitor is found out Useful Information.
Then, after digitlization, traditional closed-circuit television has made digital camera into, feasible easy function by digital control realization Auto-Sensing, judgement, and saved the space and the cost of image storage.
At present, the technology of security monitoring has further realized intelligent video monitoring, except having produced multiple monitoring application, more be applied to the technology of Network Transmission, comprise that carrying out destination object detecting, tracking, anomalous event judges, and and then trigger alarm, make the work of monitoring more powerful.
Under the situation of carrying out security monitoring, one of most important thing is the detecting to mobile object, because under the shooting of digital camera, the continuous images signal is made up of the image of multiframe (frame), set up reference background earlier, compare multiple image more continuously, use drawing the variation that in special time, produces, can therefore analyze the object that betides the monitoring area, then inform the relevant personnel that save from damage by alarm mechanism.
Therefore, the pixel difference between the image just becomes the basis of graphical analysis, can be with reference to No. 2008/0031493 (being disclosed on February 7th, 2008) characteristics of objects discrimination method that is used on the rig camera that discloses of U.S. Patent Publication.
According to the described technology of this case,, by the colour chart generator, produce color chart (color histogram) again according to the color of object in every frame and the information of brightness earlier by the object that picks out in the image in a succession of change wherein.Again according to the COLOR COMPOSITION THROUGH DISTRIBUTION in the color chart, with scene and object discrimination is different types, can carry out the Coordinate Conversion of specific color space in order to highlight characteristics of objects afterwards, calculate the parameter in the COLOR COMPOSITION THROUGH DISTRIBUTION in all kinds again, in order to drawing characteristics of objects.
In this example, the variation that the analysis by COLOR COMPOSITION THROUGH DISTRIBUTION draws continuous scene draws the feature of object in the monitoring scene, after, rig camera can be followed the trail of according to characteristics of objects, or other analyses.
Because the technology of general intelligence video monitoring often is to draw reference picture by filtering background, finds variation with numerical analysis again, but generally finds out mobile change by the variation of coloured image, may be produced wrong report by environmental impact.Other has known technology to propose and can reduce the various problems that may produce wrong report by simplifying coloured image, comprises that utilizing gray scale image that unnecessary Dry Sack is had a dress rehearsal removes, and utilizes the wherein variation of B﹠W to find out the object of change.But gray scale image still might be produced wrong report by the influence of change of light luminance.
The utility model content
In the known technology, may be through the image that video camera is recorded because of ambient light, brightness contrast produces the problem of false judgment, the utility model discloses a kind of device and system that utilizes the comparison of image color information and executing image, by image processing means and the color space conversion means in the device, color information in the chrominance space before and after the acquisition in the image, particularly the residing chrominance space of original image is converted to the chrominance space (Hue of color-saturation-brightness, Saturation, Intensity, HSI space), and only capture wherein color information (Hue), to get rid of the information that other may cause erroneous judgement.Increase the accuracy of judgement with this, to produce correct and effective information.
The present invention provides a kind of device that utilizes the comparison of image color information and executing image in order to solve above-mentioned technical problem, and described device includes:
One taking unit is used to capture a consecutive image;
One scratch-pad memory electrically connects this taking unit, is used for temporary this consecutive image;
One carries out the processing unit of an image processing program, electrically connects this scratch-pad memory and this taking unit, by capturing a reference picture and successive image in this consecutive image, and transmits one and controls signal to this taking unit;
One storage element electrically connects this processing unit, in order to this successive image that stores this reference picture and capture in a period of time;
One carries out the color space conversion of this reference picture and this successive image and the image processing module of matching operation, electrically connects this processing unit.
According to preferred embodiment, the device that utilizes the comparison of image color information and executing image is earlier by taking unit acquisition consecutive image, by means of the temporary consecutive image of scratch-pad memory, carry out an image processing program by processing unit afterwards, by capturing reference picture and successive image in the consecutive image, processing unit more can be controlled the running of this taking unit with control signal.Device more has the successive image of acquisition in this reference picture of storage unit stores and a period of time.
This device comprises an image processing module, in order to carry out the color space conversion, particularly reference picture and successive image are converted to the chrominance space (HSI color space) of one color-saturation-brightness by residing chrominance space originally, capture the wherein color character of specific one or more object (Hue) again, to carry out matching operation, judge matching degree thus, and the result is back to this processing unit.
Wherein, include a former colourity spatial information receiving element in the image processing module, in order to receive consecutive image, and former colourity spatial information in the middle of the acquisition, again by the chrominance space converting unit, carry out the chrominance space conversion program, capture the color character of the object that occupies certain space, and get rid of the wherein feature of saturation and brightness by the color character acquisition unit.Calculate the matching value of the color character of object in reference picture and the successive image afterwards by the matching operation unit, and judge the matching degree of object in reference picture and the successive image, whether mate with judgement front and back image with comparison operation unit.
By above device, can judge the content that changes in the consecutive image effectively by the color information of image, so as to judging special event, may move by indicated object as image modification, can depict the path of motion of object according to the information of not matching of the color information of object in the successive image, other position and angles of representing that in addition video camera is taken are changed, or video camera is covered by foreign object.Or drive other incidents by detecting image modification.
Use the above-mentioned device that utilizes the comparison of image color information and executing image, the utility model embodiment then proposes a kind of system of carries out image comparison, and its described system comprises:
One video camera body carries the device that this utilizes comparison of image color information and executing image and color space to change, and this video camera body utilizes this device acquisition one consecutive image and draws a reference picture and its successive image;
One transmission means, wireless or wired means connect this video camera body, in order to transmit image and the comparison result that is captured; And
One terminal control device connects this video camera body by this transmission means, receives this image that transmits and comparison result, produces an information according to comparison result.
The utility model also provides a kind of system that utilizes the comparison of image color information and executing image, and described system comprises:
One video camera body comprises:
One taking unit is in order to capture a consecutive image;
One scratch-pad memory electrically connects this taking unit, in order to temporary this consecutive image;
One processing unit electrically connects this scratch-pad memory, in order to this consecutive image of preliminary treatment, comprises signal processing, analog digital conversion and image storage etc.;
One communication unit electrically connects this processing unit, in order to reach remote connection by wired or wireless means;
One transmission means connects this video camera body with wireless or wired means, in order to the transitive graph image signal; And
One terminal control centre connects this video camera body by this transmission means, receives the picture signal that this transmits, and produces an information according to a comparison result, comprising:
One control centre's communication unit reaches communication objective with wireless or wired means;
One storage element is in order to store the signal that is received;
One carries out the image processing module of color space conversion.
Wherein has at least one video camera, its body promptly carries the above-mentioned device that utilizes the comparison of image color information and executing image, capture a consecutive image and draw reference picture and its successive image by device, carry out the same hue space conversion again, with the chrominance space (HSI color space) of image transitions, again with the wherein color character execution matching operation of special object to color-saturation-brightness.Then, image that is captured by wireless or wired means transmission and judged result to terminal control centre through matching degree produce an information according to comparison result.
Said apparatus more can be divided into two parts, be mainly video camera body and terminal control centre, wherein the video camera body has the taking unit of acquisition consecutive image, scratch-pad memory and processing unit, behind the preliminary treatment consecutive image, by means of communication unit with transmission means on-line terminal control centre such as wired or wireless, after receiving the picture signal of being transmitted, tell a reference picture and its successive image, and execution color space conversion, chrominance space with image transitions to a color-saturation-brightness, capture the wherein color character of specific one or more object again, to carry out matching operation, send information according to judged result again as alarm.
Description of drawings
Fig. 1 utilizes the Application Example schematic diagram of the device of image color information and executing image comparison for the utility model;
Fig. 2 is the chrominance space schematic diagram of color-saturation-brightness that the utility model utilized;
Fig. 3 utilizes the device embodiment schematic diagram of image color information and executing image comparison for the utility model;
Fig. 4 is the embodiment of image processing module in the above-mentioned device that utilizes image color information and executing image comparison;
Fig. 5 uses schematic diagram for the utility model utilizes the device of image color information and executing image comparison;
Fig. 6 utilizes the system embodiment of image color information and executing image comparison for the utility model;
Fig. 7 is for using one of embodiment of the present utility model;
Fig. 8 is for using two of embodiment of the present utility model;
Fig. 9 is for using three of embodiment of the present utility model;
Figure 10 is for using four of embodiment of the present utility model.
[main element description of reference numerals]
Building 11 video cameras 13
Radio base station 15 Surveillance center 17
Utilize the device 300 of image color information and executing image comparison
Taking unit 301 camera lenses 31
Imageing sensor 34 control units 35
Scratch-pad memory 305 processing units 307
Former colourity spatial information receiving element 41
Chrominance space converting unit 42 color character acquisition units 43
Communication unit 313 ' database 311 '
Image processing module 315 '
Comparison chart is as 702,802, and 902 move thing 102,102 '
Embodiment
The utility model mainly utilizes the device of image color information and executing image comparison to capture consecutive image by one, and change by chrominance space, special is the chrominance space (Hue of one color-saturation-brightness with image transitions, Saturation, Intensity, HSI space), and only capture wherein color (Hue) information, can get rid of when picture control because the various uncertain factors that may produce the identification mistake such as shadow, brightness variations, also avoid producing the problem of false alarm.
At the camera that generally is used for monitoring image, image residing chrominance space originally is a R-G-B chrominance space (RGB color space), but wherein be implied with the color-values that changes because of brightness, shadow (changing), and the relevancy threshold value is set difficulty as sunlight.The utility model then particularly is converted to the residing chrominance space of original image the chrominance space of above-mentioned color-saturation-brightness, the information of more getting rid of saturation and brightness, only capture wherein color (Hue) information, can get rid of the information that other may cause erroneous judgement, increase the accuracy of judging image change.
Utilize the device of image color information and executing image comparison to can be applicable to embodiment shown in Figure 1, this example shows a building 11, wherein be provided with one or most video cameras 13, the image that each video camera 13 is captured can pass through wireless or wired communication mode, so the radio base station 15 of example is passed to remote monitoring center 17.Show saving personnel from damage and can carry out remote monitoring in the remote monitoring center 17 among the figure by a plurality of monitor pictures.
The utility model utilizes the device of image color information and executing image comparison can be arranged at video camera 13 bodies, as shown in Figure 6, video camera 13 bodies can carry out various image space conversions, color information acquisition, matching operation (correlation operation) and dynamic image judgement, the result is passed to Surveillance center 17, can be based on the matching degree between image, judge institute's event, and produce appropriate signals.Or as shown in Figure 7, video camera 13 only is used for the picture acquisition, and after being transferred to Surveillance center 17, the computer system of carries out image processing is carried out object judgement, chrominance space conversion in Surveillance center 17, capture color (Hue) information and matching operation, reach the purpose of monitoring.
Below enumerate the application of several monitoring, but actual enforcement, the purpose of this utility model is not limited to this, comprising:
The camera lens displacement detection, the detecting camera lens is moved by undesired;
Camera lens covers detecting, and being disappeared by the picture of taking has judged whether that foreign matter covers;
Lost-and-found object detecting is monitored at special object in the particular space, judges whether to lose object, or image such as is temporarily covered at situation;
Intrusion detection is monitored at newly-increased not clear object (such as people, animal, vehicle) in the image;
Whether the legacy detecting promptly has newly-increased not clear fixing object to detect at the space of being monitored;
Trigger detecting, change and trigger specific program by detecting image, such as the situation that invasion is arranged, then start record image, particular switch is saved, started to notice from damage, and ignores the picture of image when motionless;
Electronics fences, warning region are saved from damage by the monitoring particular space, promptly detect not clear incident at a particular range, and trigger specific preserving procedure;
Object count by the detecting of image change, is calculated the turnover personnel or the quantity of object;
Object detecting, can lock space in special object monitor;
Object tracing detects the image change, the object in moving by the consecutive image judgement, and depict motion track, video camera can be followed the trail of this object;
Object classification, the image color information that can be by being stored in a database and the information of relative object, after characteristics of image is compared, each object of classifying.
More than various application according to image color (Hue) information of the utility model acquisition as criterion, after the factor of the shadow that eliminating may be judged by accident,, can improve the accuracy of detecting again by the comparison of matching degree between image.
Fig. 2 is the chrominance space schematic diagram of color-saturation-brightness that the utility model utilized.
One of the coordinate form in Fig. 2 display color-saturation-YC space, this routine color-saturation-YC space is shown as the spatial coordinate of a circular cone pattern, wherein vertically expression by the darkest black to the brightest in vain, express with brightness (Intensity) i.And that its The midsagittal plane circle coordinates are presented at is graphic right-hand, and radius of circle is represented saturation (Saturation) s, and the center of circle is that saturation is minimum 0, then represents maximum saturation near the part of circumference; Circumference is spent to 360 degree by 0 and is then represented color (Hue) h, color in regular turn by red (Red), yellow (Yellow), green (Green), dark green (Cyan), blue (Blue) to fuchsin (Magenta).
Below only enumerate the expression pattern in a kind of color-saturation-YC space, actual enforcement is not restriction with these two kinds then.
The original color of expressing that the image information that the utility model utilized need be captured by the R-G-B chrominance space, be converted on the chrominance space of color-saturation-brightness, and the variable of eliminating saturation and brightness, be that variable carries out the image difference identification only with color (Hue).Color-values herein can angle represent, spends to 360 degree by 0, and every kind of angle is represented a kind of color,
Conversion regime is as follows, and this example only is one of embodiment, but actual enforcement is not restricted to this.Such as, brightness is the mean value of red, green, blue with i=1/3 (R+G+B) expression; Saturation represents that with s=1-(3/ (R+G+B)) * a wherein a is the minimum value in the red, green, blue; Color then can be expressed by h=cos^ (1) ((0.5* ((R-G)+(R-B)))/((R-G) ^2+ (R-B) * (G-B)) ^ (0.5)).
Other has the following row mathematical expression of known technology (can be with reference to United States Patent (USP) the 6th, 665, No. 439) to carry out chrominance space, shown in equation (1):
imax＝max(r，g，b)
imin＝min(r，g，b)
Brightness i=(imax+imin)/2
Work as imax=imin
Saturation s=0
As i＜=(max_value)/2
Saturation s=(imax-imin)/(imax+imin) * max_value
As i＞(max_value)/2
Saturation s=(imax-imin)/(max_value-imax-imin) * max_value
rl＝(imax-r)/(imax-imin)
gl＝(imax-g)/(imax-imin)
bl＝(imax-b)/(imax-imin)
Work as imax=imin, then color h there is no definition
Work as r=imax, then color h=((bl-gl) π/3
Work as g=imax, then color h=((2+rl-bl) π/3
Work as b=imax, then color h=((4+gl-rl) π/3
R wherein, g, b are the original color value of each picture element, imax is r, g, the maximum of b, imin is r, g, the minimum value of b comprises brightness i and saturation s, scope all is by 0 to maximum, if with 8 recording mode, maximum is 255, just the variable max_value in the equation (1).Color is then represented with angle, by 0 to 2 π.
Utilize aforesaid equation (1), with each picture element (r (and x, y), g (x, y), b (x, y)) be converted to respectively h (x, y), s (x, y) with i (x, y).
The utility model utilizes the embodiment of the device of image color information and executing image comparison can be with reference to figure 3.
As shown in the figure, the preferred embodiment of this device 300 comprises the taking unit 301 that can capture continuous pictures at least, wherein has optical lens 31, the driver element 32 that controls lens is taken, analog picture through camera lens 31 acquisitions will be converted to digital signal by an analog digital converting unit 33, by imageing sensor (as CCD, CMOS) 34 each picture element exposure value of record.Wherein having more a control unit 35, mainly is the control signal that receives from processing unit 307, and the running of each circuit in the control taking unit 301 comprises the adjustment of 31 rotations of control drive unit 32 execution camera lenses, focal length, picture distance.
The scratch-pad memory 305 that one electric connection taking unit 301 is arranged, in order to temporary image information through 34 sensings of imageing sensor, scratch-pad memory 305 is generally flash memory (flash) or the dynamic random memory (RAM) that is arranged at system front end, maybe can use the middle particular block of hard disk.
Handling core in the system is processing unit 307, and it electrically links each circuit, as shown in the figure, comprises link control unit 35, scratch-pad memory 305, storage element 309, communication unit 313 and image processing module 315.The whole device that utilizes the comparison of image color information and executing image is by communication unit 313, and is online with wired or wireless communication means and Long-distance Control machine room 30, and control machine room 30 is by control signal, by processing unit 307 control taking units 301.
Wherein, the correlation degree of image before and after can drawing by specific matching operation between reference picture and successive image (correlation operation), can with the basis of this matching degree, not give unnecessary details again with reference to various known technologies at this as the change of judgement image.
Wherein have more software program or the hardware circuit of carrying out the utility model image transitions, comparison in the image processing module 315, electrically connect processing unit 307, in order to carry out the color space conversion of reference picture and successive image, by the chrominance space conversion program, each frame in the image is converted to the chrominance space of color-saturation-brightness from the residing chrominance space of script, capture the wherein color character of specific one or more object again, with the matching operation between image before and after carrying out, and the result is back to processing unit 307.Can be with reference to embodiment shown in Figure 4.
Then calculate the matching value of the color character of special object in reference picture and the successive image again by a matching operation unit 46, by value and the standard set of comparison operation unit 47 comparisons, judge thus whether reference picture and successive image mate through matching operation.
When comparing, because the susceptibility of front and back image differences will determine to influence identification capability and the accuracy of whole technique to the special object change, so special coupling threshold value (correlation threshold) of setting, whether meet specific criteria as the matching degree of judging the object of object and successive image in the reference picture, whether mate with image information before and after the accurate judgement.Have unusually if judge object, promptly send a warning.
Fig. 5 uses schematic diagram for the utility model utilizes the device of image color information and executing image comparison.This example is about to the utility model and utilizes the device 300 of image color information and executing image comparison to be installed in the video camera body 50.Because video camera body 50 carrying the utility model utilize the device of image color information and executing image comparison, so can carry out shooting, storage, chrominance space conversion, matching operation and comparison coupling threshold value supervisor voluntarily.
Draw the information of not matching by comparison result and can be used as the activation bit that triggers particular event, this sends trigger message by unmatched judgement and can be another embodiment, begin to record image such as triggering video camera, or carry out other programs, as stop to record, send function such as particular alert.Other has embodiment more not match before and after judging object, and judges incident that turnover is arranged and then enabling counting program.
Fig. 6 then shows another system embodiment that the device enforcement that provides than creation is provided.This embodiment is divided into device of the present utility model in the function of video camera body execution and the function of terminal control centre execution.
Video camera body summary has taking unit 301, scratch-pad memory 305, processing unit 307 and communication unit 313 at least, reaches remote connection by communication unit 313 with wired or wireless means.
The video camera body is through the online terminal control centre of a transmission means, the control machine room 60 shown in the figure just, and the consecutive image by another communication unit 313 ' wherein receives by shot by camera is stored to storage element 309 '.Then again to carry out the associated picture handling procedure as the utility model image processing module 315 ' shown in Figure 5.
And this terminal control centre has more a database 311 ', in order to write down the image information of a plurality of object type, by the comparison of each object color character, this consecutive image that is captured is classified.
Then, Fig. 7 to Figure 10 is shown as and uses various embodiment of the present utility model, but actual enforcement is not limited to this.
Loss monitoring embodiment as shown in Figure 7.
Fig. 8 shows the embodiment of legacy monitoring.
In like manner, be shown as the embodiment that the detecting camera lens is moved as Fig. 9, wherein video camera 90 produces the reference picture 901 in the script environment earlier, compare again comparison chart as 902 in different images, can find the incident that video camera is moved, this may trigger safety system, is for further processing.
Compare above-mentioned reference picture and the comparison chart picture that changes continuously, the image that can obtain continuously changing, integrate the picture of change continuously, can depict a motion track, as shown in figure 10, judge the mobile thing 102, the mobile thing 102 ' that move continuously, can actuated camera 10 rotate to the position of video camera 10 ', to follow the trail of mobile thing 10,10 '.
In sum, the utility model uses image color information processing system, processing method and image classification method, mainly be to carry out the chrominance space conversion by image with acquisition, acquisition is not wherein by color (Hue) information of environment shadow, bright dark image judgement again, afterwards through the comparison of matching operation with the coupling threshold value, can accurately judge anomalous event, wherein have higher judgement rate.
But; the above only is a preferable possible embodiments of the present utility model; non-so promptly limit to claim protection range of the present utility model; so the equivalent structure that all utilization the utility model specifications and accompanying drawing content are done changes; all in like manner be contained in the claim protection range of the present utility model, hereby statement.
Claims (8)
1. device that utilizes image color information and executing image comparison is characterized in that described device includes:
One taking unit is used to capture a consecutive image;
One scratch-pad memory electrically connects this taking unit, is used for temporary this consecutive image;
One carries out the processing unit of an image processing program, electrically connects this scratch-pad memory and this taking unit, by capturing a reference picture and successive image in this consecutive image, and transmits one and controls signal to this taking unit;
One storage element electrically connects this processing unit, in order to this successive image that stores this reference picture and capture in a period of time;
One carries out the color space conversion of this reference picture and this successive image and the image processing module of matching operation, electrically connects this processing unit.
2. the device that utilizes the comparison of image color information and executing image as claimed in claim 1 is characterized in that described image processing module more comprises:
One former colourity spatial information receiving element, in order to receiving the signal of this reference picture and this successive image, and former colourity spatial information in the middle of the acquisition;
One carries out the chrominance space converting unit of this chrominance space conversion program;
One color feature extraction unit will capture the color character that this occupies one or more object of certain space in the image of this chrominance space conversion, get rid of the wherein feature of saturation and brightness;
One reference information buffer stores the information through this reference picture of chrominance space conversion;
One image information buffer stores the information through this successive image of chrominance space conversion;
One calculates the matching operation unit of this reference picture and this successive image color character matching value; And
One judges the comparison operation unit of whether mating.
3. the device that utilizes the comparison of image color information and executing image as claimed in claim 1 is characterized in that more comprising an analog digital converting unit, electrically connects this taking unit, and this image is carried out the analog digital conversion.
4. the device that utilizes the comparison of image color information and executing image as claimed in claim 1 is characterized in that more comprising a database, electrically connects this storage element, in order to write down the image information of a plurality of object type.
5. the device that utilizes the comparison of image color information and executing image as claimed in claim 1, it is characterized in that more comprising a communication unit, one remote control center can be controlled this use image color information processing system by wireless or wire communication means, and receives the information by this system transmitted.
6. an application rights requires the 1 described system that utilizes the device of image color information and executing image comparison, it is characterized in that described system includes:
One video camera body carries the device that this utilizes comparison of image color information and executing image and color space to change, and this video camera body utilizes this device acquisition one consecutive image and draws a reference picture and its successive image;
One transmission means, wireless or wired means connect this video camera body, in order to transmit image and the comparison result that is captured; And
One terminal control device connects this video camera body by this transmission means, receives this image that transmits and comparison result, produces an information according to comparison result.
7. system that utilizes image color information and executing image comparison is characterized in that described system includes:
One video camera body comprises:
One taking unit is in order to capture a consecutive image;
One scratch-pad memory electrically connects this taking unit, in order to temporary this consecutive image;
One processing unit electrically connects this scratch-pad memory, in order to this consecutive image of preliminary treatment, comprises signal processing, analog digital conversion and image storage etc.;
One communication unit electrically connects this processing unit, in order to reach remote connection by wired or wireless means;
One transmission means connects this video camera body with wireless or wired means, in order to the transitive graph image signal; And
One terminal control centre connects this video camera body by this transmission means, receives the picture signal that this transmits, and produces an information according to a comparison result, comprising:
One control centre's communication unit reaches communication objective with wireless or wired means;
One storage element is in order to store the signal that is received;
One carries out the image processing module of color space conversion.
8. the system that utilizes the comparison of image color information and executing image as claimed in claim 7, it is characterized in that described terminal control centre has more a database, in order to write down the image information of a plurality of object type, by the comparison of each object color character, this consecutive image that is captured is classified.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009202987328U CN201726494U (en) | 2009-12-31 | 2009-12-31 | Device and system which utilize image color information to conduct image comparison |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009202987328U CN201726494U (en) | 2009-12-31 | 2009-12-31 | Device and system which utilize image color information to conduct image comparison |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201726494U true CN201726494U (en) | 2011-01-26 |
Family
ID=43494847
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2009202987328U Expired - Fee Related CN201726494U (en) | 2009-12-31 | 2009-12-31 | Device and system which utilize image color information to conduct image comparison |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201726494U (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103559763A (en) * | 2013-10-31 | 2014-02-05 | 中山大学 | Color touch conversion device for the blind based on traffic signal lamp |
| CN103593858A (en) * | 2013-11-13 | 2014-02-19 | 北京林业大学 | Method for filtering out green vegetation data in ground laser radar scanning data |
| CN104980646A (en) * | 2014-03-19 | 2015-10-14 | 宏达国际电子股份有限公司 | Blocking detection method and electronic apparatus |
| CN107707808A (en) * | 2016-08-09 | 2018-02-16 | 英业达科技有限公司 | Camera chain and method for imaging |
| US10360710B2 (en) | 2016-06-14 | 2019-07-23 | Asustek Computer Inc. | Method of establishing virtual makeup data and electronic device using the same |
| CN111626310A (en) * | 2020-05-27 | 2020-09-04 | 百度在线网络技术（北京）有限公司 | Image comparison method, device, equipment and storage medium |
| CN112929559A (en) * | 2019-12-05 | 2021-06-08 | 三星电子株式会社 | Method of performing half shutter function and method of capturing image using the same |
-
2009
- 2009-12-31 CN CN2009202987328U patent/CN201726494U/en not_active Expired - Fee Related
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103559763A (en) * | 2013-10-31 | 2014-02-05 | 中山大学 | Color touch conversion device for the blind based on traffic signal lamp |
| CN103593858A (en) * | 2013-11-13 | 2014-02-19 | 北京林业大学 | Method for filtering out green vegetation data in ground laser radar scanning data |
| CN104980646A (en) * | 2014-03-19 | 2015-10-14 | 宏达国际电子股份有限公司 | Blocking detection method and electronic apparatus |
| CN104980646B (en) * | 2014-03-19 | 2018-05-29 | 宏达国际电子股份有限公司 | Stop detection method and electronic device |
| US10360710B2 (en) | 2016-06-14 | 2019-07-23 | Asustek Computer Inc. | Method of establishing virtual makeup data and electronic device using the same |
| CN107707808A (en) * | 2016-08-09 | 2018-02-16 | 英业达科技有限公司 | Camera chain and method for imaging |
| CN112929559A (en) * | 2019-12-05 | 2021-06-08 | 三星电子株式会社 | Method of performing half shutter function and method of capturing image using the same |
| CN111626310A (en) * | 2020-05-27 | 2020-09-04 | 百度在线网络技术（北京）有限公司 | Image comparison method, device, equipment and storage medium |
| CN111626310B (en) * | 2020-05-27 | 2023-08-29 | 百度在线网络技术（北京）有限公司 | Image comparison method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102117484B (en) | Processing system, processing method and image classification method using image color information | |
| CN201726494U (en) | Device and system which utilize image color information to conduct image comparison | |
| EP4105101A1 (en) | Monitoring system, monitoring method, and monitoring device for railway train | |
| CN101119482B (en) | Overall view monitoring method and apparatus | |
| JP4803376B2 (en) | Camera tampering detection method | |
| CN103079062B (en) | Intelligent video surveillance system | |
| KR101953342B1 (en) | Multi-sensor fire detection method and system | |
| CN110633612B (en) | Monitoring method and system for inspection robot | |
| CN103646250A (en) | Pedestrian monitoring method and device based on distance image head and shoulder features | |
| CN110867046A (en) | Intelligent car washer video monitoring and early warning system based on cloud computing | |
| EP2549759A1 (en) | Method and system for facilitating color balance synchronization between a plurality of video cameras as well as method and system for obtaining object tracking between two or more video cameras | |
| CN107679471A (en) | Indoor occupant sky hilllock detection method based on video monitoring platform | |
| CN103646550A (en) | Intelligent vehicle license plate recognition system | |
| CN108230607B (en) | Image fire detection method based on regional characteristic analysis | |
| CN109040711A (en) | A kind of image-pickup method, monitoring method and imaging sensor | |
| WO2016024680A1 (en) | Vehicle black box capable of real-time recognition of license plate of moving vehicle | |
| JP3486229B2 (en) | Image change detection device | |
| CN112084813A (en) | Abnormal target detection method and device and storage medium | |
| CN102999994A (en) | Flame detection device based on video image analysis | |
| CN103020588B (en) | Based on the flame detecting method of video image analysis | |
| KR101213255B1 (en) | System and method for context-aware using image processing and wireless sensor network | |
| CN110247328A (en) | Position judging method based on image recognition in switchgear | |
| CN115953726B (en) | Machine vision container face damage detection method and system | |
| TWI421795B (en) | System and method of image processing based on color information, and method for image categorization using the same | |
| KR20190136515A (en) | Vehicle recognition device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110126 Termination date: 20141231 |
|
| EXPY | Termination of patent right or utility model |