CN101465033A - Automatic tracking recognition system and method - Google Patents
Automatic tracking recognition system and method Download PDFInfo
- Publication number
- CN101465033A CN101465033A CNA2008101134879A CN200810113487A CN101465033A CN 101465033 A CN101465033 A CN 101465033A CN A2008101134879 A CNA2008101134879 A CN A2008101134879A CN 200810113487 A CN200810113487 A CN 200810113487A CN 101465033 A CN101465033 A CN 101465033A
- Authority
- CN
- China
- Prior art keywords
- suspicious object
- module
- video camera
- camera
- characteristic portion
- 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
Landscapes
- Image Analysis (AREA)
- Closed-Circuit Television Systems (AREA)
- Alarm Systems (AREA)
Abstract
The invention provides an auto-tracking recognition system and a method. The system comprises a fixed viewing field camera, a suspicious object determination module, a trail tracking module, a control module, a variable viewing field camera, a picture recognition module, a contrast module and an alarm module, wherein, the suspicious object determination module is used for analyzing a video picture collected by the fixed viewing field camera, determining a suspicious object, and acquiring the position of the suspicious object; the trail tracking module is used for determining the motion trail of the suspicious object; the control module is used for outputting a control signal according to the position and the motion trail of the suspicious object; the variable viewing field camera is used for acquiring the video picture in accordance with the feature recognition requirement based on an adjustment parameter of the control signal; the picture recognition module is used for acquiring a feature parameter of the suspicious object; the contrast module is used for contrasting the acquired feature parameter with the feature information of the contrasted object in a feature database; and the alarm module is used for giving an alarm to the suspicious object in accordance with the set alarm condition. The invention can automatically track and collect detail pictures of the suspicious object, and efficiently realize the recognition of the suspicious object, thereby giving an early and reliable alarm.
Description
Technical field
The present invention relates to the intelligent safety monitoring field, relate in particular to a kind of automatic tracing identification system and method.
Background technology
Along with the development of human civilization, people are more and more higher to the demand of security monitoring.The camera acquisition that safety monitoring system of the prior art usually adopts fixing visual field is the interior video image of guarded region scope fixedly, and coupled computer identification judges whether the target travel object violates predefined rule of conduct, whether there are the behaviors such as security area, direction of motion be unusual of entering as the target travel object, the target travel object of violating rule of conduct is reported to the police, comparing with the security monitoring pattern that traditional post-survey is handled has had certain advantage, can reach the purpose of taking precautions against in advance to a certain extent.
But also there is following problem in safety monitoring system of the prior art:
Because system adopts the fixedly video camera of visual field, therefore, the video image that collects is the fixing image of visual field, is difficult to collect the detail pictures of the characteristic portion of suspicious object clearly under a lot of situations, and the identity of feasible examination suspicious object has difficulties;
Can't determine the movement locus of suspicious object, not have the ability of automatic tracking.
Summary of the invention
The embodiment of the invention provides a kind of automatic tracing identification system and method, by using the variable field of view video camera, automatically follow the trail of the detail pictures of the characteristic portion of gathering suspicious object, can effectively realize the identification of suspicious object identity, carry out early stage, the reliable warning.
For achieving the above object, on the one hand, the embodiment of the invention provides a kind of automatic tracking system, comprising:
At least one is the visual field video camera fixedly, is used to gather the fixedly interior video image of guarded region scope, obtains first video image;
The suspicious object determination module is connected with described fixedly visual field video camera, is used for described first video image is analyzed, and determines suspicious object, and obtains the position of described suspicious object;
The trajectory track module is connected with described suspicious object determination module, is used for the position according to described suspicious object, obtains the movement locus of described suspicious object;
Control module is connected with described trajectory track module with described suspicious object determination module, is used for position and movement locus according to described suspicious object, the output control signal;
The variable field of view video camera is connected with described control module, is used for adjusting parameter based on described control signal, obtains meeting second video image of feature recognition requirement;
Picture recognition module, be connected with described variable field of view video camera with described control module, be used for described second video image is analyzed, determine the characteristic portion of described suspicious object, described characteristic portion is carried out feature identification, obtain the characteristic parameter of described suspicious object;
Comparing module is connected with described picture recognition module, and the characteristic information that is used for comparison object that the characteristic parameter and the property data base of described suspicious object are stored is compared;
Alarm module is connected with described comparing module, is used for reporting to the police when described comparison result indicates described suspicious object to meet the alert if of setting.
Described fixedly visual field video camera is rifle formula video camera or ball-shaped camera;
Described variable field of view video camera is high speed monopod video camera or quick ball-shaped camera.
Described fixedly visual field video camera and described variable field of view video camera are ccd video camera, cmos camera or thermal imaging camera.
Described suspicious object determination module further comprises:
Extract submodule, be used for extracting the information of target travel object from described first video image;
The classification submodule is connected with described extraction submodule, is used for the information according to described target travel object, to described target travel sorting objects;
Judge submodule, be connected with described classification submodule, be used for classification, judge whether described target travel object violates predefined rule of conduct according to described target travel object, the target object of violating rule of conduct is defined as suspicious object, and obtains the position of described suspicious object.
Described trajectory track module further comprises:
Center of gravity is determined submodule, is used for the classification according to described suspicious object, determines the center of gravity of described suspicious object;
Track is determined submodule, determines that with described center of gravity submodule is connected, and is used for the position according to described suspicious object, writes down the track of described center of gravity, obtains the movement locus of described suspicious object.
Described picture recognition module further comprises:
Characteristic portion is determined submodule, is used for extracting from described second video image information of described suspicious object, determines its characteristic portion;
The recognin module determines that with described characteristic portion submodule is connected, and is used for described characteristic portion is carried out feature identification, obtains the characteristic parameter of described suspicious object.
Described picture recognition module also comprises:
Judge submodule, determine that with described characteristic portion submodule is connected with described recognin module, be used to judge whether described characteristic portion meets the requirement of feature identification, if meet the requirements, then the information with described characteristic portion sends to described recognin module, if undesirable, then notify described control module;
Described control module then is further used for according to feature recognition requirement, revises and the output control signal.
Also comprise:
The rule of conduct setting module, be connected with described picture recognition module, be used to set the decision condition of violating rule of conduct, the decision condition of described violation rule of conduct comprises: cross the border, enter the security area, direction of motion is unusual, movement velocity is unusual, steal, leave over article and illegal parking.
Also comprise:
Database typing module is connected with described comparing module, is used for the characteristic information of described comparison object is entered into described property data base;
The alert if setting module is connected with described alarm module, is used for setting as required the condition of warning; The condition of described warning comprises: meet the warning of described comparison material body characteristics information and do not meet the warning of described comparison material body characteristics information.
Also comprise:
Matching module, be connected with described control module, be used to adjust the parameter of described variable field of view video camera, described variable field of view video camera and described fixedly visual field video camera are carried out the scene coupling, obtain the coarse adjustment angle of the described variable field of view video camera corresponding with the specific location point in the camera supervised regional extent in described fixedly visual field;
Described control module is further used for when described suspicious object is positioned at the specific location point of the camera supervised regional extent in described fixedly visual field, matching result according to described matching module, export control signal, control the coarse adjustment angle of the described specific location point correspondence of described variable field of view video camera quick rotation.
Also comprise:
The mapping output module is connected with described trajectory track module, is used for the movement locus coordinate Mapping of the described suspicious object architectural plane coordinate to the current place of described suspicious object, and the architectural plane coordinate of described suspicious object is exported.
Also comprise:
The background light source module is used for when the ambient light of guarded region is lower than detection criterion, starts background light source;
Light monitoring and control module are connected with described background light source module, are used for guarded region is carried out the ambient light analysis, when the ambient light of guarded region is unfavorable for surveying, controls described background light source module and start.
On the other hand, the embodiment of the invention also provides a kind of automatic track identification method, may further comprise the steps:
To fixing visual field camera acquisition to first video image analyze, determine suspicious object, and obtain the position of described suspicious object;
According to the position of described suspicious object, obtain the movement locus of described suspicious object;
According to the position and the movement locus of described suspicious object, the output control signal;
Adjust the variable field of view camera parameters based on described control signal, obtain meeting second video image of feature recognition requirement;
Described second video image is analyzed, determined the characteristic portion of described suspicious object, described characteristic portion is carried out feature identification, obtain the characteristic parameter of described suspicious object;
The characteristic information of the comparison object stored in the characteristic parameter of described suspicious object and the property data base is compared;
When described comparison result indicates described suspicious object to meet the alert if of setting, report to the police.
Described fixedly visual field video camera is rifle formula video camera or ball-shaped camera;
Described variable field of view video camera is high speed monopod video camera or quick ball-shaped camera.
Described fixedly visual field video camera and described variable field of view video camera are ccd video camera, cmos camera or thermal imaging camera.
Described to fixing visual field camera acquisition to first video image analyze, determine suspicious object, and the method for obtaining the position of described suspicious object is specially:
From described first video image, extract the information of target travel object;
According to the information of described target travel object, to described target travel sorting objects;
According to the classification of described mark moving object, judge whether described target travel object violates predefined rule of conduct, the target object of violating rule of conduct is defined as suspicious object, and obtains the position of described suspicious object.
Described position according to described suspicious object, the method that obtains the movement locus of described suspicious object is specially:
According to the classification of described suspicious object, determine the center of gravity of described suspicious object;
According to the position of described suspicious object, write down the track of described center of gravity, obtain the movement locus of described suspicious object.
Described described second video image is analyzed, determined the characteristic portion of described suspicious object, described characteristic portion is carried out feature identification, the method for characteristic parameters that obtains described suspicious object is specially:
From described second video image, extract the information of described suspicious object, determine its characteristic portion;
Described characteristic portion is carried out feature identification, obtain the characteristic parameter of described suspicious object.
Described described second video image is analyzed, determined the characteristic portion of described suspicious object, described characteristic portion is carried out feature identification, the method for characteristic parameters that obtains described suspicious object is specially:
From described second video image, extract the information of described suspicious object, determine its characteristic portion;
Judge whether described characteristic portion meets the requirement of feature identification;
If meet the requirements, then described characteristic portion is carried out feature identification identification, obtain the characteristic parameter of described suspicious object;
If undesirable, then revise and export control signal, control described variable field of view video camera and adjust parameter.
Also comprise:
Set to violate the step of the decision condition of rule of conduct, the decision condition of described violation rule of conduct comprise cross the border, enter the security area, direction of motion is unusual, movement velocity is unusual, steal, leave over article and illegal parking.
Also comprise:
The feature ginseng information of described comparison object is entered in the described property data base, and the step of the condition of set reporting to the police as required, the condition of described warning comprises: meet the warning of described comparison material body characteristics information and do not meet the warning of described comparison material body characteristics information.
Also comprise:
Adjust the parameter of described variable field of view video camera, described variable field of view video camera and described fixedly visual field video camera are carried out the scene coupling, obtain the coarse adjustment angle of the described variable field of view video camera corresponding with the specific location point in the camera supervised regional extent in described fixedly visual field;
When described suspicious object is positioned at the specific location point of the camera supervised regional extent in described fixedly visual field,, control the coarse adjustment angle of the described specific location point correspondence of described variable field of view video camera quick rotation according to matching result output control signal.
Also comprise:
With the movement locus coordinate Mapping of described suspicious object in the architectural plane coordinate at the current place of described suspicious object, and the step that the architectural plane coordinate of described suspicious object is exported.
Also comprise:
Guarded region is carried out the ambient light analysis, when ambient light is lower than detection criterion, start the step of background light source.
The embodiment of the invention has following beneficial effect:
1. system adjusts parameter by control variable field of view video camera, can farthest gather the detail pictures of suspicious object characteristic portion, thereby effectively realize the feature identification of suspicious object, carries out early stage, the reliable warning;
2. system determines the movement locus of suspicious object by the image that collects is carried out intellectual analysis, can carry out track identification to the suspicious object of motion.
Description of drawings
Fig. 1 is the functional module framework synoptic diagram of the automatic tracing identification system of the embodiment of the invention;
Fig. 2 is the automatic track identification method flow synoptic diagram of the embodiment of the invention;
Fig. 3 is a concrete scene synoptic diagram of the automatic tracing identification system of the embodiment of the invention.
Embodiment
Be illustrated in figure 1 as the functional module framework synoptic diagram of the automatic tracing identification system of the embodiment of the invention, system comprises: fixedly visual field video camera 1, suspicious object determination module 2, trajectory track module 3, control module 4, variable field of view video camera 5, picture recognition module 6, comparing module 7 and alarm module 8.
Wherein:
Fixedly the visual field video camera 1, is used to gather the fixedly interior video image of guarded region scope, obtains first video image.
Suspicious object determination module 2 is connected with fixing visual field video camera 1, is used for first video image is analyzed, and determines suspicious object, and obtains the position of suspicious object.
Variable field of view video camera 5 is connected with control module 4, is used for adjusting parameter based on the control signal of control module 4 outputs, obtains meeting second video image of feature recognition requirement.
Comparing module 7 is connected with picture recognition module 6, and the characteristic information that is used for comparison object that the characteristic parameter and the property data base of suspicious object are stored is compared.
Above-mentioned system can comprise one or more fixedly visual fields video camera 1, to obtain the video image of broad guarded region scope.Fixedly visual field video camera 1 can be rifle formula video camera or ball-shaped camera.According to the requirement of institute's environment for use, fixedly visual field video camera 1 video camera that can select common camera for use or have night vision function can be ccd video camera, cmos camera or thermal imaging camera.
Above-mentioned suspicious object determination module 2 further comprises:
Extract submodule, be used for extracting the information of target travel object from first video image.
The classification submodule is connected with the extraction submodule, is used for the information according to the target travel object, to the target travel sorting objects.
Judge submodule, be connected, be used for classification, judge whether the target travel object violates predefined rule of conduct, the target object of violating rule of conduct is defined as suspicious object, and obtains the position of suspicious object according to the target travel object with the classification submodule.
Suspicious object determination module 2 with the condition that the target travel object is defined as suspicious object is: whether this target travel object violates the rule of conduct of setting, and system at first also needs the decision condition of violating rule of conduct is set, and therefore, system also comprises:
The rule of conduct setting module is connected with suspicious object determination module 2, is used for setting the decision condition of violating rule of conduct according to the requirement of guarded region.
The decision condition of violating rule of conduct generally includes: enter the security area, cross the border, direction of motion is unusual, movement velocity is unusual, steal, leave over article, illegal parking etc.
Determining the process of suspicious object, promptly is to judge whether the target travel object violates the process of the rule of conduct of setting, below violates the decision method of rule of conduct with specific embodiment explanation target travel object:
(1) judgement of crossing the border and invading
Set the warning line or the security area of guarded region at first as required, then the video image of gathering is analyzed, obtain the parameter such as movement position, direction of motion of target travel object, when the movement position of target travel object exceeds or crossed over predefined warning line, or entered the security area, judge that promptly this target travel object violated rule of conduct, be defined as suspicious object.In some cases, need also to judge simultaneously whether the direction of motion of target travel object violates the rule of conduct of setting, when its direction of motion is also violated rule of conduct simultaneously, just be defined as suspicious object.
(2) movement velocity abnormality juding
Set the normal movement velocity scope of guarded region scope internal object moving object at first as required, can select the movement velocity of different directions, speed during for example horizontal direction is walked, the speed of falling etc., then the video image of gathering is analyzed, obtain parameters such as the movement velocity of target travel object and direction of motion, when the target travel object exceeds the proper motion velocity range of setting on some direction of motion, this target travel object is defined as suspicious object.System also can carry out the movement velocity statistics at the colony that moves, and as judging that the foundation of violating rule of conduct is: when the speed of target travel object exceeds setting or adds up the group movement velocity range that obtains, be defined as suspicious object.
Suspicious object determination module 2 can also at first carry out pre-alarm when determining suspicious object, note to remind the monitor staff.
Above-mentioned trajectory track module 3 further comprises:
Center of gravity is determined submodule, is used for the classification according to suspicious object, determines the center of gravity of suspicious object.
Track is determined submodule, determines that with center of gravity submodule is connected, and is used for the position according to suspicious object, writes down the track of suspicious object center of gravity, obtains the movement locus of suspicious object.
Above-mentioned variable field of view video camera 5 can be high-velocity cloud platform video camera or quick ball-shaped camera, can capture the image of suspicious object in the full angle scope rapidly.Same, according to the requirement of institute's environment for use, the video camera that variable field of view video camera 5 also can be selected common camera for use or have night vision function can be ccd video camera, cmos camera or thermal imaging camera.
After variable field of view video camera 5 receives the control signal of control module 4, carry out parameter adjustment, the detail pictures of suspicious object is gathered, obtain second video image, and send picture recognition module 6 to.
Above-mentioned picture recognition module 6 further comprises:
Characteristic portion is determined submodule, is used for extracting from second video image information of suspicious object, determines its characteristic portion.
The recognin module determines that with characteristic portion submodule is connected, and is used for the characteristic portion of suspicious object is carried out feature identification, obtains the characteristic parameter of suspicious object.
When carrying out recognition of face, its characteristic parameter comprises: the colour of skin of people's face, interocular distance, skeletal structure, face feature etc., when carrying out car plate identification, its characteristic parameter comprises: the number-plate number, vehicle color etc.
In addition, in some cases, the image that variable field of view video camera 5 collects suspicious object might not meet picture recognition module 6 and carry out the requirement of feature identification, as the clear inadequately or characteristic portion information of characteristic portion information is imperfect etc. in the image that collects, at this moment, picture recognition module also comprises:
Judge submodule, determine that with characteristic portion submodule is connected with the recognin module, be used to judge whether the information of the characteristic portion of suspicious object meets the requirement of feature identification, if meet the requirements, then the information with characteristic portion sends to the recognin module, if undesirable, then notify control module 4.
For example, when characteristic portion information was clear inadequately in the image that collects, the judgement submodule then notified control module 4 characteristic portion information unintelligible, and control module 4 is revised and the output control signal, control variable field of view video camera 5 is adjusted focal length, with the size at amplification characteristic position; When characteristic portion is positioned at the image border so that characteristic portion information when imperfect, the judgement submodule then notifies control module 4 characteristic portion information imperfect, control module 4 is revised and the output control signal, control variable field of view video camera 5 rotational angles, make characteristic portion be in the middle position of image, to obtain complete characteristic portion image.
Preferably, after control module 4 control variable field of view video cameras 5 carry out parameter adjustment, make the characteristic portion (as people's face, license plate) of suspicious object in the video image collect be on the middle position and suitable scale of image, for example, make the characteristic portion of suspicious object account for entire image and be not less than on 15% the scale, be beneficial to picture recognition module 6 and carry out feature identification.
Form a closed-loop control system between picture recognition module 6, control module 4 and the variable field of view video camera 5, until second video image that obtains to meet feature recognition requirement.
Above-mentioned system also needs to finish the typing to characteristic information before utilizing comparing module 7 to carry out the characteristic parameter comparison, therefore, system also comprises:
Database typing module is connected with comparing module 7, is used for the characteristic information of comparison object is entered into property data base.
The characteristic information of described comparison object generally includes two classes: the first kind is: the clarification of objective information (for example fugitive suspect etc.) that needs detecting/warning; Second class is: special mandate and detect after the clarification of objective information (for example national treasury staff etc.) that will not report to the police.
The characteristic information that can adopt the mode of real-time typing will compare object is entered in the property data base, be specially: will need the comparison object of typing to carry out real-time data acquisition, and carry out the characteristic parameter that signature analysis obtains comparing object, then characteristic parameter is entered in the property data base; Also can adopt existing database is imported to mode in the property data base.
In addition, in order to guarantee the reliability of system, database typing module can be carried out real-time update to the information of preserving in the property data base.
Above-mentioned alarm module 8 can by start alarm lamp, sound or warning message is presented at the first-class multiple mode of monitor reports to the police gives the alarm, can also utilize relay that warning message is exported, for example, alarm module 8 can be connected with automatic door control system, when confirming that suspicious object is violated rule of conduct, by relay warning message is sent to automatic door control system, the control automatically-controlled door is closed, with the action of restriction suspicious object.
System also comprises: the alert if setting module is connected the alert if that is used for setting as required with alarm module 8.
The condition of reporting to the police generally includes: meet the warning of comparison material body characteristics information and do not meet the warning of comparison material body characteristics information.The warning that meets comparison material body characteristics information is promptly: when the characteristic information of suspicious object meets the clarification of objective information of above-mentioned first kind needs detecting/warning, report to the police; The warning that does not meet comparison material body characteristics information is promptly: during the clarification of objective information that will not report to the police after the characteristic information of suspicious object does not meet the special mandate of above-mentioned second class and detects, report to the police.
System can also comprise:
Memory module is used for after suspicious object is reported to the police, the video image of storage suspicious object.
In addition, when in above-mentioned suspicious object determination module 2 is judged the guarded region scope of fixing visual field video camera 1, occurring violating the suspicious object of rule of conduct, for make variable field of view video camera 5 can quick rotation to position that suspicious object occurs, feature detail pictures to suspicious object is gathered, and system can also comprise:
Matching module, be connected with control module 4, be used to adjust the parameter of variable field of view video camera 5, variable field of view video camera 5 and fixing visual field video camera 1 are carried out the scene coupling, obtain the coarse adjustment angle of the corresponding variable field of view video camera 5 of specific location point in the guarded region scope with fixing visual field video camera 1.
Variable field of view video camera 5 is specially with the fixing method of visual field video camera 1 scene coupling: at first by adjusting the angle and the focal length of variable field of view video camera 5, carry out one by one related with correspondence position point in fixing visual field video camera 1 monitor area specific location point in the variable field of view video camera 5 monitor area scopes, obtain the coarse adjustment angle of variable field of view video camera 5 corresponding each specific location point, its fundamental purpose is: for variable field of view video camera 5 provides an initial rotation angle, guarantee variable field of view video camera 5 can quick rotation with fixing visual field video camera 1 monitor area scope in the coarse adjustment angle of specific location point coupling, and then the parameter by further fine setting variable field of view video camera 5 is with the detail pictures of collection suspicious object characteristic portion.
Certainly, along with moving of suspicious object, control module 4 also will be according to the movement locus of suspicious object, and control variable field of view video camera 5 is followed the tracks of and rotated and adjust focal length, the detail pictures of continuous acquisition suspicious object characteristic portion.
In order better to understand the particular location of suspicious object in current building, monitor the whereabouts of suspicious object, system also comprises:
The mapping output module is connected with trajectory track module 3, is used for the movement locus coordinate Mapping of the suspicious object architectural plane coordinate to the current place of suspicious object, and the architectural plane coordinate of suspicious object is exported.
The mapping output module can be exported the architectural plane coordinate of suspicious object in monitor, is beneficial to the monitoring of monitor staff's suspicious object.
Simultaneously, consider that the ambient light in the guarded region may change along with the variation of available light, and then do not meet the requirement of image recognition that therefore, system also comprises:
Light monitoring and control module and are used for that guarded region is carried out the ambient light analysis, and when ambient light was unfavorable for surveying, control background light source module started.
The background light source module is connected with control module with the light monitoring, is used for when the ambient light of guarded region is lower than detection criterion, starts background light source.
The light monitoring can be with fixedly visual field video camera 1 and/or variable field of view video camera 5 be connected with control module, according to camera acquisition to image carry out the analysis of guarded region ambient light, certainly, also can directly adopt ambient light detection instrument etc., directly the ambient light of guarded region be surveyed.
In addition, when a plurality of suspicious object occurring in the guarded region scope, system also comprises:
Be used for multiobjective analysis module that a plurality of suspicious object that occur are simultaneously analyzed, be connected with control module 4, the multiobjective analysis module is at first carried out cluster analysis to a plurality of suspicious object, judge whether these a plurality of suspicious object have association, for example: whether the movement technique according to these a plurality of suspicious object is consistent, whether movement velocity is similar etc., and condition is judged, when these a plurality of suspicious object have association, by control module 4 output control signals, control variable field of view video camera 5 acquisition characteristics positions are the image of suspicious object the most clearly, utilizes picture recognition module 6 to carry out feature identification then; When the multiobjective analysis module analysis goes out a plurality of suspicious object and does not have association, then adopt the mode of poll, by control module 4 output control signals, control variable field of view video camera 5 is gathered the characteristic portion detail pictures of suspicious object one by one, utilizes picture recognition module 6 respectively a plurality of suspicious object to be carried out feature identification then.
System can also comprise the network equipment, be connected with memory module with alarm module 8, be used for communicating and being connected with other automatic tracing identification system or center host, when suspicious object is left the monitoring range of native system, the transmission of video images of warning message and suspicious object to other regional automatic tracing identification system or center host that network is connected, is prevented that suspicious object wanders away.
The network equipment can effectively enlarge the scope of guarded region, to be used to tackle security monitoring problem large-scale, important place.
In addition, system can also be connected with the safety monitoring system of outside other types, system comprises also and is used for the security monitoring sensor that is connected with the external security supervisory system that outside safety monitoring system can be transferred the information that the variable field of view video camera be gathered to be needed by the security monitoring sensor.
The automatic tracing identification system that provides by above embodiment, adjust parameter by control variable field of view video camera, can farthest gather the detail pictures of suspicious object characteristic portion, thereby effectively realize the feature identification of suspicious object, carry out early stage, warning reliably; System determines the movement locus of suspicious object by the image that collects is carried out intellectual analysis, can carry out track identification to the suspicious object of motion.
Fig. 2 is the automatic track identification method flow synoptic diagram of the embodiment of the invention, may further comprise the steps:
When determining suspicious object, can also at first carry out pre-alarm, note to remind the monitor staff.
The alert if of setting generally includes: meet the warning of comparison material body characteristics information and do not meet the warning of comparison material body characteristics information.
In the above-mentioned steps 21 to fixing visual field camera acquisition to first video image analyze, determine suspicious object, and the method for obtaining the position of suspicious object is specially:
From first video image, extract the information of target travel object;
According to the information of target travel object, to the target travel sorting objects;
According to the classification of target travel object, judge whether the target travel object violates predefined rule of conduct, the target object of violating rule of conduct is defined as suspicious object, and obtains the position of suspicious object.
The decision condition of violating rule of conduct generally includes: cross the border, direction of motion is unusual, movement velocity is unusual, steal, leave over article and illegal parking etc., in case the target travel object is violated the rule of conduct of setting, promptly can be denoted as suspicious object.
Set the step of the decision condition of violating rule of conduct.
According to the position of suspicious object, the method that obtains the movement locus of suspicious object is specially in the above-mentioned steps 22:
According to the classification of suspicious object, determine the center of gravity of suspicious object;
According to the position of suspicious object, write down the track of center of gravity, obtain the movement locus of suspicious object.
In the above-mentioned steps 25 second video image is analyzed, determined the characteristic portion of suspicious object, characteristic portion is carried out feature identification, the method for characteristic parameters that obtains suspicious object is specially:
From second video image, extract the information of suspicious object, determine its characteristic portion;
Characteristic portion is carried out feature identification, obtain the characteristic parameter of suspicious object.
In addition, in some cases, the variable field of view camera acquisition is to the image of suspicious object and do not meet the requirement of signature analysis, as the clear inadequately or characteristic portion information of characteristic portion information is imperfect etc. in the image that collects, therefore, in the above-mentioned steps 25 second video image is analyzed, determined the characteristic portion of suspicious object, characteristic portion is carried out feature identification, obtain suspicious object method of characteristic parameters can also for:
From second video image, extract the information of suspicious object, determine its characteristic portion;
Whether the judging characteristic position meets the requirement of feature identification;
If meet the requirements, then characteristic portion is carried out feature identification identification, obtain the characteristic parameter of suspicious object;
If undesirable, then revise and export control signal, control variable field of view video camera is adjusted parameter, the image of suspicious object characteristic portion is gathered, until the image that obtains meeting feature recognition requirement.
Preferably, after control variable field of view video camera is adjusted parameter (rotational angle and adjustment focal length, aperture etc.), the characteristic portion of suspicious object in the video image that collects (as people's face) is on the middle position and suitable scale of image, for example, making the characteristic portion of suspicious object account for entire image is not less than on 15% the scale.
Above-mentioned method also comprises:
The characteristic parameter of comparison object is entered in the property data base, and sets the step of alert if.
In addition, when in judging the guarded region scope of fixing visual field video camera, occurring violating the suspicious object of rule of conduct, for make the variable field of view video camera can quick rotation to position that suspicious object occurs, feature detail pictures to suspicious object is gathered, and above-mentioned method can also comprise:
To the variable field of view video camera and fixedly the visual field video camera carry out scene coupling, obtain the step of the coarse adjustment angle of the corresponding variable field of view video camera of specific location point in the guarded region scope with fixing visual field video camera; And
When suspicious object was positioned at the specific location point of fixing visual field video camera, according to matching result, control variable field of view video camera quick rotation was to the step of the coarse adjustment angle of specific location point correspondence.
In addition, in order better to understand the position of suspicious object in current building, monitor the whereabouts of suspicious object, said method also comprises:
With the movement locus coordinate Mapping of suspicious object in the architectural plane coordinate at the current place of suspicious object, and the step that the architectural plane coordinate of suspicious object is exported.
And, consider that the ambient light in the guarded region may change along with the variation of available light, and then do not meet the requirement of image recognition that therefore, said method also comprises:
Guarded region is carried out the ambient light analysis, when ambient light is lower than detection criterion, start the step of background light source.
In addition, when a plurality of suspicious object occurring in the guarded region scope, at first a plurality of suspicious object are carried out cluster analysis, judge whether these a plurality of suspicious object have association, for example: conditions such as whether, movement velocity whether consistent according to the movement technique of these a plurality of suspicious object be similar are judged, when these a plurality of suspicious object had association, signature analysis was carried out at acquisition characteristics position suspicious object the most clearly; When a plurality of suspicious object do not have association, then adopt the mode of poll, gather the characteristic portion detail pictures of suspicious object one by one, respectively a plurality of suspicious object are carried out feature identification.
In addition, after system reports to the police to suspicious object, also need to store the video image of suspicious object, and the video image of warning message and suspicious object is transferred to other regional automatic tracing identification system that network is connected or center host etc. by the network equipment.
The automatic track identification method that provides by above embodiment, adjust parameter by control variable field of view video camera, can farthest gather the detail pictures of suspicious object characteristic portion, thereby effectively realize the feature identification of suspicious object, carry out early stage, warning reliably; System determines the movement locus of suspicious object by the image that collects is carried out intellectual analysis, can carry out track identification to the suspicious object of motion.
Fig. 3 is a concrete scene synoptic diagram of the automatic tracing identification system of the embodiment of the invention, this automatic tracing identification system can be based on outer computer or DSP disposal system, and fixedly visual field rifle formula video camera, variable field of view video camera, track identification main frame, input-output device (monitor and keyboard) and the network equipment are formed by three in system.Wherein, fixedly visual field rifle formula video camera is gathered the video image in the guarded region scope; The track identification main frame is the integrated of a series of modules such as above-mentioned suspicious object determination module, trajectory track module, control module, picture recognition module, comparing module, alarm module, finishing the function of the target travel object being carried out automatic track identification, is the core of system; The variable field of view video camera is accepted to adjust parameter after the control signal of track identification main frame, and the characteristic portion detail pictures of suspicious object is gathered; System can be by monitor with the output of the video image of warning message and suspicious object, finishes operations such as typing to property data base by keyboard; System is network enabled device also, be used for being connected with other automatic tracing identification system, when suspicious object is left the monitoring range of native system, native system can be with information such as the data of suspicious object and direction of motion by LAN or Internet network delivery to other moving track identification systems, prevent that suspicious object wanders away, the network equipment can effectively enlarge the scope of guarded region.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (24)
1. an automatic tracing identification system is characterized in that, comprising:
At least one is the visual field video camera fixedly, is used to gather the fixedly interior video image of guarded region scope, obtains first video image;
The suspicious object determination module is connected with described fixedly visual field video camera, is used for described first video image is analyzed, and determines suspicious object, and obtains the position of described suspicious object;
The trajectory track module is connected with described suspicious object determination module, is used for the position according to described suspicious object, obtains the movement locus of described suspicious object;
Control module is connected with described trajectory track module with described suspicious object determination module, is used for position and movement locus according to described suspicious object, the output control signal;
The variable field of view video camera is connected with described control module, is used for adjusting parameter based on described control signal, obtains meeting second video image of feature recognition requirement;
Picture recognition module, be connected with described variable field of view video camera with described control module, be used for described second video image is analyzed, determine the characteristic portion of described suspicious object, described characteristic portion is carried out feature identification, obtain the characteristic parameter of described suspicious object;
Comparing module is connected with described picture recognition module, and the characteristic information that is used for comparison object that the characteristic parameter and the property data base of described suspicious object are stored is compared;
Alarm module is connected with described comparing module, is used for reporting to the police when described comparison result indicates described suspicious object to meet the alert if of setting.
2. automatic tracing identification system according to claim 1 is characterized in that:
Described fixedly visual field video camera is rifle formula video camera or ball-shaped camera;
Described variable field of view video camera is high speed monopod video camera or quick ball-shaped camera.
3. automatic tracing identification system according to claim 1 is characterized in that, described fixedly visual field video camera and described variable field of view video camera are ccd video camera, cmos camera or thermal imaging camera.
4. automatic tracing identification system according to claim 1 is characterized in that, described suspicious object determination module further comprises:
Extract submodule, be used for extracting the information of target travel object from described first video image;
The classification submodule is connected with described extraction submodule, is used for the information according to described target travel object, to described target travel sorting objects;
Judge submodule, be connected with described classification submodule, be used for classification, judge whether described target travel object violates predefined rule of conduct according to described target travel object, the target object of violating rule of conduct is defined as suspicious object, and obtains the position of described suspicious object.
5. automatic tracing identification system according to claim 4 is characterized in that, described trajectory track module further comprises:
Center of gravity is determined submodule, is used for the classification according to described suspicious object, determines the center of gravity of described suspicious object;
Track is determined submodule, determines that with described center of gravity submodule is connected, and is used for the position according to described suspicious object, writes down the track of described center of gravity, obtains the movement locus of described suspicious object.
6. automatic tracing identification system according to claim 1 is characterized in that, described picture recognition module further comprises:
Characteristic portion is determined submodule, is used for extracting from described second video image information of described suspicious object, determines its characteristic portion;
The recognin module determines that with described characteristic portion submodule is connected, and is used for described characteristic portion is carried out feature identification, obtains the characteristic parameter of described suspicious object.
7. automatic tracing identification system according to claim 6 is characterized in that, described picture recognition module also comprises:
Judge submodule, determine that with described characteristic portion submodule is connected with described recognin module, be used to judge whether described characteristic portion meets the requirement of feature identification, if meet the requirements, then the information with described characteristic portion sends to described recognin module, if undesirable, then notify described control module;
Described control module then is further used for according to feature recognition requirement, revises and the output control signal.
8. automatic tracing identification system according to claim 4 is characterized in that, also comprises:
The rule of conduct setting module, be connected with described picture recognition module, be used to set the decision condition of violating rule of conduct, the decision condition of described violation rule of conduct comprises: cross the border, enter the security area, direction of motion is unusual, movement velocity is unusual, steal, leave over article and illegal parking.
9. automatic tracing identification system according to claim 1 is characterized in that, also comprises:
Database typing module is connected with described comparing module, is used for the characteristic information of described comparison object is entered into described property data base;
The alert if setting module is connected with described alarm module, is used for setting as required the condition of warning; The condition of described warning comprises: meet the warning of described comparison material body characteristics information and do not meet the warning of described comparison material body characteristics information.
10. automatic tracing identification system according to claim 1 is characterized in that, also comprises:
Matching module, be connected with described control module, be used to adjust the parameter of described variable field of view video camera, described variable field of view video camera and described fixedly visual field video camera are carried out the scene coupling, obtain the coarse adjustment angle of the described variable field of view video camera corresponding with the specific location point in the camera supervised regional extent in described fixedly visual field;
Described control module is further used for when described suspicious object is positioned at the specific location point of the camera supervised regional extent in described fixedly visual field, matching result according to described matching module, export control signal, control the coarse adjustment angle of the described specific location point correspondence of described variable field of view video camera quick rotation.
11. automatic tracing identification system according to claim 1 is characterized in that, also comprises:
The mapping output module is connected with described trajectory track module, is used for the movement locus coordinate Mapping of the described suspicious object architectural plane coordinate to the current place of described suspicious object, and the architectural plane coordinate of described suspicious object is exported.
12. automatic tracing identification system according to claim 1 is characterized in that, also comprises:
The background light source module is used for when the ambient light of guarded region is lower than detection criterion, starts background light source;
Light monitoring and control module are connected with described background light source module, are used for guarded region is carried out the ambient light analysis, when the ambient light of guarded region is unfavorable for surveying, controls described background light source module and start.
13. an automatic track identification method is characterized in that, may further comprise the steps:
To fixing visual field camera acquisition to first video image analyze, determine suspicious object, and obtain the position of described suspicious object;
According to the position of described suspicious object, obtain the movement locus of described suspicious object;
According to the position and the movement locus of described suspicious object, the output control signal;
Adjust the variable field of view camera parameters based on described control signal, obtain meeting second video image of feature recognition requirement;
Described second video image is analyzed, determined the characteristic portion of described suspicious object, described characteristic portion is carried out feature identification, obtain the characteristic parameter of described suspicious object;
The characteristic information of the comparison object stored in the characteristic parameter of described suspicious object and the property data base is compared;
When described comparison result indicates described suspicious object to meet the alert if of setting, report to the police.
14. automatic track identification method according to claim 13 is characterized in that:
Described fixedly visual field video camera is rifle formula video camera or ball-shaped camera;
Described variable field of view video camera is high speed monopod video camera or quick ball-shaped camera.
15. automatic track identification method according to claim 13 is characterized in that, described fixedly visual field video camera and described variable field of view video camera are ccd video camera, cmos camera or thermal imaging camera.
16. automatic track identification method according to claim 13 is characterized in that, described to fixing visual field camera acquisition to first video image analyze, determine suspicious object, and the method for obtaining the position of described suspicious object is specially:
From described first video image, extract the information of target travel object;
According to the information of described target travel object, to described target travel sorting objects;
According to the classification of described mark moving object, judge whether described target travel object violates predefined rule of conduct, the target object of violating rule of conduct is defined as suspicious object, and obtains the position of described suspicious object.
17. automatic track identification method according to claim 16 is characterized in that, described position according to described suspicious object, and the method that obtains the movement locus of described suspicious object is specially:
According to the classification of described suspicious object, determine the center of gravity of described suspicious object;
According to the position of described suspicious object, write down the track of described center of gravity, obtain the movement locus of described suspicious object.
18. automatic track identification method according to claim 13, it is characterized in that, described described second video image is analyzed, determine the characteristic portion of described suspicious object, described characteristic portion is carried out feature identification, and the method for characteristic parameters that obtains described suspicious object is specially:
From described second video image, extract the information of described suspicious object, determine its characteristic portion;
Described characteristic portion is carried out feature identification, obtain the characteristic parameter of described suspicious object.
19. automatic track identification method according to claim 13, it is characterized in that, described described second video image is analyzed, determine the characteristic portion of described suspicious object, described characteristic portion is carried out feature identification, and the method for characteristic parameters that obtains described suspicious object is specially:
From described second video image, extract the information of described suspicious object, determine its characteristic portion;
Judge whether described characteristic portion meets the requirement of feature identification;
If meet the requirements, then described characteristic portion is carried out feature identification identification, obtain the characteristic parameter of described suspicious object;
If undesirable, then revise and export control signal, control described variable field of view video camera and adjust parameter.
20. automatic track identification method according to claim 16 is characterized in that, also comprises:
Set to violate the step of the decision condition of rule of conduct, the decision condition of described violation rule of conduct comprise cross the border, enter the security area, direction of motion is unusual, movement velocity is unusual, steal, leave over article and illegal parking.
21. automatic track identification method according to claim 13 is characterized in that, also comprises:
The feature ginseng information of described comparison object is entered in the described property data base, and the step of the condition of set reporting to the police as required, the condition of described warning comprises: meet the warning of described comparison material body characteristics information and do not meet the warning of described comparison material body characteristics information.
22. automatic track identification method according to claim 13 is characterized in that, also comprises:
Adjust the parameter of described variable field of view video camera, described variable field of view video camera and described fixedly visual field video camera are carried out the scene coupling, obtain the coarse adjustment angle of the described variable field of view video camera corresponding with the specific location point in the camera supervised regional extent in described fixedly visual field;
When described suspicious object is positioned at the specific location point of the camera supervised regional extent in described fixedly visual field,, control the coarse adjustment angle of the described specific location point correspondence of described variable field of view video camera quick rotation according to matching result output control signal.
23. automatic track identification method according to claim 13 is characterized in that, also comprises:
With the movement locus coordinate Mapping of described suspicious object in the architectural plane coordinate at the current place of described suspicious object, and the step that the architectural plane coordinate of described suspicious object is exported.
24. automatic track identification method according to claim 13 is characterized in that, also comprises:
Guarded region is carried out the ambient light analysis, when ambient light is lower than detection criterion, start the step of background light source.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008101134879A CN101465033B (en) | 2008-05-28 | 2008-05-28 | Automatic tracking recognition system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008101134879A CN101465033B (en) | 2008-05-28 | 2008-05-28 | Automatic tracking recognition system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101465033A true CN101465033A (en) | 2009-06-24 |
| CN101465033B CN101465033B (en) | 2011-01-26 |
Family
ID=40805596
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2008101134879A Expired - Fee Related CN101465033B (en) | 2008-05-28 | 2008-05-28 | Automatic tracking recognition system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101465033B (en) |
Cited By (88)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101860732A (en) * | 2010-06-04 | 2010-10-13 | 天津市亚安科技电子有限公司 | Method of controlling holder camera to automatically track target |
| CN102034328A (en) * | 2010-12-10 | 2011-04-27 | 山东申普交通科技有限公司 | Intelligent monitoring system and monitoring method |
| CN102073844A (en) * | 2010-11-10 | 2011-05-25 | 无锡中星微电子有限公司 | Intelligent monitoring system and method |
| CN102081848A (en) * | 2009-11-27 | 2011-06-01 | 西安费斯达自动化工程有限公司 | System for automatically monitoring illegally-parking vehicles and compressed transmission based on field programmable gate array (FPGA) |
| CN102238370A (en) * | 2010-04-30 | 2011-11-09 | 鸿富锦精密工业（深圳）有限公司 | Shooting device and method for acquiring sharp images by utilizing same |
| CN102479419A (en) * | 2010-11-29 | 2012-05-30 | 上海真新资产经营管理有限公司 | Automatic early warning development system and method thereof |
| CN102496029A (en) * | 2011-11-18 | 2012-06-13 | 中国科学院紫金山天文台 | Space debris identifying method |
| CN102693634A (en) * | 2011-03-24 | 2012-09-26 | 大连航天金穗科技有限公司 | Television monitoring system for tracking set vehicle and television monitoring method thereof |
| CN102693640A (en) * | 2011-03-24 | 2012-09-26 | 大连航天金穗科技有限公司 | Control system for providing priority signal for set vehicle and control method thereof |
| CN102708685A (en) * | 2012-04-27 | 2012-10-03 | 南京航空航天大学 | Device and method for detecting and snapshotting violation vehicles |
| CN102859568A (en) * | 2010-04-12 | 2013-01-02 | 罗伯特·博世有限公司 | Video based intelligent vehicle control system |
| CN102906788A (en) * | 2010-05-21 | 2013-01-30 | 松下电器产业株式会社 | Traffic line creation device and traffic line creation method |
| CN103200390A (en) * | 2013-03-25 | 2013-07-10 | 沈坚 | Method for monitoring indoor object moving track |
| CN103403736A (en) * | 2011-03-04 | 2013-11-20 | 高通股份有限公司 | Dynamic template tracking |
| CN103455546A (en) * | 2012-05-30 | 2013-12-18 | 国际商业机器公司 | Profiling activity through video surveillance |
| CN103473926A (en) * | 2013-09-11 | 2013-12-25 | 无锡加视诚智能科技有限公司 | Gun-ball linkage road traffic parameter collection and rule breaking snapshooting system |
| CN103838367A (en) * | 2011-11-22 | 2014-06-04 | 英属维京群岛速位互动股份有限公司 | Orientation correction method for electronic device used to perform facial recognition and electronic device thereof |
| CN103888731A (en) * | 2014-03-24 | 2014-06-25 | 公安部第三研究所 | Structured description device and system for mixed video monitoring by means of gun-type camera and dome camera |
| CN104092972A (en) * | 2014-07-15 | 2014-10-08 | 北京小鱼儿科技有限公司 | Communication terminal and tool installed on mobile terminal |
| CN104202578A (en) * | 2014-09-27 | 2014-12-10 | 江阴延利汽车饰件股份有限公司 | Method for automatically identifying criminal suspects |
| CN104202579A (en) * | 2014-09-27 | 2014-12-10 | 江阴延利汽车饰件股份有限公司 | Intelligent police car |
| CN104243927A (en) * | 2014-09-27 | 2014-12-24 | 江阴延利汽车饰件股份有限公司 | Security robot control platform with automatic suspect recognizing function |
| CN104408447A (en) * | 2014-12-20 | 2015-03-11 | 江阴市电工合金有限公司 | Method for recognizing types of juveniles in electric workshop |
| CN104539896A (en) * | 2014-12-25 | 2015-04-22 | 桂林远望智能通信科技有限公司 | Intelligent panoramic monitoring and hotspot close-up monitoring system and method |
| CN104580895A (en) * | 2014-12-26 | 2015-04-29 | 北京航天控制仪器研究所 | Airborne imaging system with synchronous camera shooting and photographing capacity |
| CN104601878A (en) * | 2013-10-30 | 2015-05-06 | 索尼公司 | system and method for tracking objects |
| CN104636709A (en) * | 2013-11-12 | 2015-05-20 | 中国移动通信集团公司 | Method and device for positioning monitored target |
| CN104639840A (en) * | 2010-11-05 | 2015-05-20 | 佳能株式会社 | Image processing apparatus and image processing method |
| CN104932370A (en) * | 2015-06-05 | 2015-09-23 | 广州杰赛科技股份有限公司 | Environment detecting device, human identification method and emergency monitoring system |
| WO2015180252A1 (en) * | 2014-05-26 | 2015-12-03 | 中兴通讯股份有限公司 | Method, device and system for detecting multi-object reverse violation |
| CN105245852A (en) * | 2015-10-27 | 2016-01-13 | 太原市公安局 | Video monitoring method |
| CN105245853A (en) * | 2015-10-27 | 2016-01-13 | 太原市公安局 | Video monitoring method |
| CN105245851A (en) * | 2015-10-27 | 2016-01-13 | 太原市公安局 | Video monitoring system |
| CN105425790A (en) * | 2015-11-04 | 2016-03-23 | 广州杰赛科技股份有限公司 | Detection ball |
| CN105847681A (en) * | 2016-03-30 | 2016-08-10 | 乐视控股（北京）有限公司 | Shooting control method, device and system |
| CN105844634A (en) * | 2016-03-18 | 2016-08-10 | 阜阳师范学院 | Multi-motion-object video monitoring system and tracking monitoring method thereof |
| CN105894702A (en) * | 2016-06-21 | 2016-08-24 | 南京工业大学 | Invasion detecting alarming system based on multi-camera data combination and detecting method thereof |
| CN106060465A (en) * | 2016-06-20 | 2016-10-26 | 陈�胜 | Dynamic target tracking system and dynamic target tracking method based on electronic map and video surveillance |
| CN106127141A (en) * | 2016-06-21 | 2016-11-16 | 北京小米移动软件有限公司 | Warning message generates method and device |
| CN106127142A (en) * | 2016-06-21 | 2016-11-16 | 北京小米移动软件有限公司 | Object tracking method and device |
| CN103748870B (en) * | 2012-01-20 | 2016-12-07 | 乐天株式会社 | Moving picture search device, moving picture search method |
| CN106355886A (en) * | 2016-08-31 | 2017-01-25 | 智慧互通科技有限公司 | Parking management system for open type parking lot and management method of parking management system |
| CN106600977A (en) * | 2017-02-13 | 2017-04-26 | 深圳英飞拓科技股份有限公司 | Parking violation detection method and system based on multi-feature identification |
| CN106682596A (en) * | 2016-12-14 | 2017-05-17 | 苏州航天系统工程有限公司 | Violation fishing monitoring method based on video image analysis |
| CN106713869A (en) * | 2017-01-10 | 2017-05-24 | 苏尼特左旗晟兴电子商贸有限责任公司 | Method, device and system for remotely monitoring pasture land |
| CN106791676A (en) * | 2016-12-30 | 2017-05-31 | 北京农信互联科技有限公司 | Livestock breeding monitoring system |
| CN106851224A (en) * | 2017-03-29 | 2017-06-13 | 宁夏凯速德科技有限公司 | Intelligent video frequency monitoring method and system based on user behavior recognition |
| CN106851226A (en) * | 2017-03-29 | 2017-06-13 | 宁夏宁信信息科技有限公司 | The monitoring method and system of the camera adjust automatically based on user behavior recognition |
| CN107316463A (en) * | 2017-07-07 | 2017-11-03 | 深圳市诺龙技术股份有限公司 | A kind of method and apparatus of vehicle monitoring |
| WO2017193735A1 (en) * | 2016-05-13 | 2017-11-16 | 腾讯科技（深圳）有限公司 | Trace obtaining method and device for video surveillance system |
| CN107592508A (en) * | 2017-10-10 | 2018-01-16 | 珠海市领创智能物联网研究院有限公司 | A kind of intelligent track identification system |
| CN107909050A (en) * | 2017-11-29 | 2018-04-13 | 中科新松有限公司 | A kind of personnel identity information determines method, system, equipment and storage medium |
| CN108495045A (en) * | 2018-05-17 | 2018-09-04 | Oppo广东移动通信有限公司 | Image capturing method, device, electronic device and storage medium |
| CN108537205A (en) * | 2018-04-20 | 2018-09-14 | 广州林邦信息科技有限公司 | A kind of animal population diversity monitoring method, apparatus and server |
| CN108550218A (en) * | 2018-06-01 | 2018-09-18 | 厦门市市政工程设计院有限公司 | A kind of bicycle capacity integrated control system and its management-control method |
| CN108629794A (en) * | 2017-03-24 | 2018-10-09 | 鸿富锦精密工业（深圳）有限公司 | Object method for tracing and system |
| CN108960128A (en) * | 2018-06-29 | 2018-12-07 | 贵州省仁怀市西科电脑科技有限公司 | A kind of safety defense monitoring system for warehouse |
| CN109087470A (en) * | 2018-07-19 | 2018-12-25 | 广州市捍御者信息科技有限公司 | Monitoring instruction system and method for monitoring instruction |
| CN109240342A (en) * | 2018-03-14 | 2019-01-18 | 曹红娟 | Vehicle on-site identification method |
| CN109257572A (en) * | 2018-11-01 | 2019-01-22 | 珠海格力电器股份有限公司 | A kind of control method of monitoring head, device, equipment, medium and security system |
| CN109389794A (en) * | 2018-07-05 | 2019-02-26 | 北京中广通业信息科技股份有限公司 | A kind of Intellectualized Video Monitoring method and system |
| CN109460031A (en) * | 2018-11-28 | 2019-03-12 | 科大智能机器人技术有限公司 | A kind of system for tracking of the automatic tractor based on human bioequivalence |
| US10252701B2 (en) | 2017-01-04 | 2019-04-09 | Industrial Technology Research Institute | Object tracking system and method therewith |
| CN109785562A (en) * | 2018-12-29 | 2019-05-21 | 华中光电技术研究所（中国船舶重工集团有限公司第七一七研究所） | A kind of vertical photoelectricity ground based threats warning system and suspicious object recognition methods |
| CN109829369A (en) * | 2018-12-25 | 2019-05-31 | 深圳市天彦通信股份有限公司 | Target determines method and relevant apparatus |
| CN109886236A (en) * | 2019-03-01 | 2019-06-14 | 苏州星奥达科技有限公司 | A kind of video analysis method based on magnanimity crowd behaviour |
| CN110069339A (en) * | 2019-01-10 | 2019-07-30 | 中国电子科技集团公司电子科学研究院 | A kind of Distributed identification tracking system |
| CN110177255A (en) * | 2019-05-30 | 2019-08-27 | 北京易华录信息技术股份有限公司 | A kind of video information dissemination method and system based on case scheduling |
| CN110222640A (en) * | 2019-06-05 | 2019-09-10 | 浙江大华技术股份有限公司 | Monitor recognition methods, device, method and the storage medium of suspect in place |
| CN110288738A (en) * | 2019-06-28 | 2019-09-27 | 北京无线电计量测试研究所 | A kind of cycle path intelligent comprehensive managing and control system and management-control method |
| 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 |
| CN110456831A (en) * | 2019-08-16 | 2019-11-15 | 南开大学 | A kind of mouse touching act tracking platform based on active vision |
| CN110716803A (en) * | 2018-07-13 | 2020-01-21 | 中强光电股份有限公司 | Computer system, resource allocation method and image identification method thereof |
| CN110895709A (en) * | 2018-09-12 | 2020-03-20 | 庄连豪 | Special anti-terrorist service device, system and implementation method thereof |
| WO2020057350A1 (en) * | 2018-09-21 | 2020-03-26 | 深圳市九洲电器有限公司 | Moving object recognition method, device, and system |
| CN111052193A (en) * | 2018-06-29 | 2020-04-21 | 百度时代网络技术（北京）有限公司 | Anti-theft technique for autonomous vehicles for transporting goods |
| CN111191711A (en) * | 2019-12-27 | 2020-05-22 | 恒大智慧科技有限公司 | Method, device and medium for preventing Alzheimer's disease elderly from being lost in smart community |
| CN111343377A (en) * | 2018-12-19 | 2020-06-26 | 杭州海康威视系统技术有限公司 | Camera control method, device, system and storage medium |
| CN111523397A (en) * | 2020-03-31 | 2020-08-11 | 深圳市奥拓电子股份有限公司 | Intelligent lamp pole visual identification device, method and system and electronic equipment |
| CN111770266A (en) * | 2020-06-15 | 2020-10-13 | 北京世纪瑞尔技术股份有限公司 | Intelligent visual perception system |
| CN112633068A (en) * | 2020-11-25 | 2021-04-09 | 河北汉光重工有限责任公司 | Cloud system is tracked in people's car image recognition based on land defense control |
| CN112911138A (en) * | 2021-01-14 | 2021-06-04 | 姜勇 | Method and system for recording moving track of camera |
| CN114001255A (en) * | 2021-09-16 | 2022-02-01 | 浙江大华技术股份有限公司 | Control method for rotation of pan-tilt camera, pan-tilt camera and electronic device |
| CN114758461A (en) * | 2021-01-26 | 2022-07-15 | 国网山东省电力公司蒙阴县供电公司 | Warning method for multi-dimensional accurate power grid based on warning column |
| CN115690162A (en) * | 2022-12-28 | 2023-02-03 | 武汉凡德智能科技有限公司 | Method and device for detecting moving large target in fixed video |
| CN116066802A (en) * | 2023-03-10 | 2023-05-05 | 山东省金海龙建工科技有限公司 | Intelligent street lamp for parking system |
| CN116347036A (en) * | 2023-03-14 | 2023-06-27 | 电子科技大学 | Security monitoring communication server based on Internet of things and artificial intelligence |
| CN116503814A (en) * | 2023-05-24 | 2023-07-28 | 北京安录国际技术有限公司 | Personnel tracking method and system for analysis |
-
2008
- 2008-05-28 CN CN2008101134879A patent/CN101465033B/en not_active Expired - Fee Related
Cited By (130)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102081848A (en) * | 2009-11-27 | 2011-06-01 | 西安费斯达自动化工程有限公司 | System for automatically monitoring illegally-parking vehicles and compressed transmission based on field programmable gate array (FPGA) |
| CN102859568A (en) * | 2010-04-12 | 2013-01-02 | 罗伯特·博世有限公司 | Video based intelligent vehicle control system |
| US9165468B2 (en) | 2010-04-12 | 2015-10-20 | Robert Bosch Gmbh | Video based intelligent vehicle control system |
| CN102859568B (en) * | 2010-04-12 | 2016-08-24 | 罗伯特·博世有限公司 | Intelligent maneuver vehicle control based on image |
| CN102238370A (en) * | 2010-04-30 | 2011-11-09 | 鸿富锦精密工业（深圳）有限公司 | Shooting device and method for acquiring sharp images by utilizing same |
| CN102906788B (en) * | 2010-05-21 | 2016-06-08 | 松下电器产业株式会社 | Moving-wire producing device and moving-wire manufacture method |
| US8934671B2 (en) | 2010-05-21 | 2015-01-13 | Panasonic Corporation | Traffic line creation device and traffic line creation method |
| CN102906788A (en) * | 2010-05-21 | 2013-01-30 | 松下电器产业株式会社 | Traffic line creation device and traffic line creation method |
| CN101860732B (en) * | 2010-06-04 | 2014-08-27 | 天津市亚安科技股份有限公司 | Method of controlling holder camera to automatically track target |
| CN101860732A (en) * | 2010-06-04 | 2010-10-13 | 天津市亚安科技电子有限公司 | Method of controlling holder camera to automatically track target |
| US10417503B2 (en) | 2010-11-05 | 2019-09-17 | Canon Kabushiki Kaisha | Image processing apparatus and image processing method |
| CN104639840B (en) * | 2010-11-05 | 2018-05-15 | 佳能株式会社 | Image processing apparatus and image processing method |
| US9953225B2 (en) | 2010-11-05 | 2018-04-24 | Canon Kabushiki Kaisha | Image processing apparatus and image processing method |
| CN104639840A (en) * | 2010-11-05 | 2015-05-20 | 佳能株式会社 | Image processing apparatus and image processing method |
| CN102073844A (en) * | 2010-11-10 | 2011-05-25 | 无锡中星微电子有限公司 | Intelligent monitoring system and method |
| CN102479419A (en) * | 2010-11-29 | 2012-05-30 | 上海真新资产经营管理有限公司 | Automatic early warning development system and method thereof |
| CN102034328A (en) * | 2010-12-10 | 2011-04-27 | 山东申普交通科技有限公司 | Intelligent monitoring system and monitoring method |
| CN102034328B (en) * | 2010-12-10 | 2012-06-27 | 山东申普交通科技有限公司 | Intelligent monitoring method |
| US10133950B2 (en) | 2011-03-04 | 2018-11-20 | Qualcomm Incorporated | Dynamic template tracking |
| CN103403736A (en) * | 2011-03-04 | 2013-11-20 | 高通股份有限公司 | Dynamic template tracking |
| CN103403736B (en) * | 2011-03-04 | 2017-06-23 | 高通股份有限公司 | Dynamic template is followed the trail of |
| CN102693640B (en) * | 2011-03-24 | 2013-12-25 | 大连航天金穗科技有限公司 | Control method for providing priority signal for set vehicle |
| CN102693634A (en) * | 2011-03-24 | 2012-09-26 | 大连航天金穗科技有限公司 | Television monitoring system for tracking set vehicle and television monitoring method thereof |
| CN102693634B (en) * | 2011-03-24 | 2013-11-13 | 大连航天金穗科技有限公司 | Television monitoring system for tracking set vehicle and television monitoring method thereof |
| CN102693640A (en) * | 2011-03-24 | 2012-09-26 | 大连航天金穗科技有限公司 | Control system for providing priority signal for set vehicle and control method thereof |
| CN102496029B (en) * | 2011-11-18 | 2013-02-06 | 中国科学院紫金山天文台 | Space debris identifying method |
| CN102496029A (en) * | 2011-11-18 | 2012-06-13 | 中国科学院紫金山天文台 | Space debris identifying method |
| CN103838367A (en) * | 2011-11-22 | 2014-06-04 | 英属维京群岛速位互动股份有限公司 | Orientation correction method for electronic device used to perform facial recognition and electronic device thereof |
| CN103748870B (en) * | 2012-01-20 | 2016-12-07 | 乐天株式会社 | Moving picture search device, moving picture search method |
| CN102708685A (en) * | 2012-04-27 | 2012-10-03 | 南京航空航天大学 | Device and method for detecting and snapshotting violation vehicles |
| CN103455546B (en) * | 2012-05-30 | 2017-03-01 | 国际商业机器公司 | For setting up the method and system of profile for activity and behavior |
| CN103455546A (en) * | 2012-05-30 | 2013-12-18 | 国际商业机器公司 | Profiling activity through video surveillance |
| CN103200390A (en) * | 2013-03-25 | 2013-07-10 | 沈坚 | Method for monitoring indoor object moving track |
| CN103473926B (en) * | 2013-09-11 | 2016-01-27 | 无锡加视诚智能科技有限公司 | The interlock road traffic parameter collection of rifle ball and capturing system violating the regulations |
| CN103473926A (en) * | 2013-09-11 | 2013-12-25 | 无锡加视诚智能科技有限公司 | Gun-ball linkage road traffic parameter collection and rule breaking snapshooting system |
| CN104601878A (en) * | 2013-10-30 | 2015-05-06 | 索尼公司 | system and method for tracking objects |
| CN104636709A (en) * | 2013-11-12 | 2015-05-20 | 中国移动通信集团公司 | Method and device for positioning monitored target |
| CN104636709B (en) * | 2013-11-12 | 2018-10-02 | 中国移动通信集团公司 | A kind of method and device of locating and monitoring target |
| CN103888731A (en) * | 2014-03-24 | 2014-06-25 | 公安部第三研究所 | Structured description device and system for mixed video monitoring by means of gun-type camera and dome camera |
| WO2015180252A1 (en) * | 2014-05-26 | 2015-12-03 | 中兴通讯股份有限公司 | Method, device and system for detecting multi-object reverse violation |
| CN104092972A (en) * | 2014-07-15 | 2014-10-08 | 北京小鱼儿科技有限公司 | Communication terminal and tool installed on mobile terminal |
| CN104243927A (en) * | 2014-09-27 | 2014-12-24 | 江阴延利汽车饰件股份有限公司 | Security robot control platform with automatic suspect recognizing function |
| CN104202579A (en) * | 2014-09-27 | 2014-12-10 | 江阴延利汽车饰件股份有限公司 | Intelligent police car |
| CN104202578A (en) * | 2014-09-27 | 2014-12-10 | 江阴延利汽车饰件股份有限公司 | Method for automatically identifying criminal suspects |
| CN104408447A (en) * | 2014-12-20 | 2015-03-11 | 江阴市电工合金有限公司 | Method for recognizing types of juveniles in electric workshop |
| CN104539896A (en) * | 2014-12-25 | 2015-04-22 | 桂林远望智能通信科技有限公司 | Intelligent panoramic monitoring and hotspot close-up monitoring system and method |
| CN104539896B (en) * | 2014-12-25 | 2018-07-10 | 桂林远望智能通信科技有限公司 | The intelligent monitor system and method for a kind of overall view monitoring and hot spot feature |
| CN104580895B (en) * | 2014-12-26 | 2017-12-22 | 北京航天控制仪器研究所 | It is a kind of that there is the airborne imaging system taken the photograph according to synchronous working ability |
| CN104580895A (en) * | 2014-12-26 | 2015-04-29 | 北京航天控制仪器研究所 | Airborne imaging system with synchronous camera shooting and photographing capacity |
| CN104932370B (en) * | 2015-06-05 | 2017-12-01 | 广州杰赛科技股份有限公司 | Environment arrangement for detecting and character recognition method, emergent monitoring system |
| CN104932370A (en) * | 2015-06-05 | 2015-09-23 | 广州杰赛科技股份有限公司 | Environment detecting device, human identification method and emergency monitoring system |
| CN105245853A (en) * | 2015-10-27 | 2016-01-13 | 太原市公安局 | Video monitoring method |
| CN105245851A (en) * | 2015-10-27 | 2016-01-13 | 太原市公安局 | Video monitoring system |
| CN105245852A (en) * | 2015-10-27 | 2016-01-13 | 太原市公安局 | Video monitoring method |
| CN105245851B (en) * | 2015-10-27 | 2020-01-07 | 太原市公安局 | Video monitoring system and method |
| CN105425790A (en) * | 2015-11-04 | 2016-03-23 | 广州杰赛科技股份有限公司 | Detection ball |
| CN105425790B (en) * | 2015-11-04 | 2018-07-31 | 广州杰赛科技股份有限公司 | A kind of detecting ball |
| CN105844634B (en) * | 2016-03-18 | 2019-04-05 | 阜阳师范学院 | A kind of multiple mobile object tracking monitor method |
| CN105844634A (en) * | 2016-03-18 | 2016-08-10 | 阜阳师范学院 | Multi-motion-object video monitoring system and tracking monitoring method thereof |
| CN105847681A (en) * | 2016-03-30 | 2016-08-10 | 乐视控股（北京）有限公司 | Shooting control method, device and system |
| US10812761B2 (en) | 2016-05-13 | 2020-10-20 | Tencent Technology (Shenzhen) Company Limited | Complex hardware-based system for video surveillance tracking |
| WO2017193735A1 (en) * | 2016-05-13 | 2017-11-16 | 腾讯科技（深圳）有限公司 | Trace obtaining method and device for video surveillance system |
| CN106060465A (en) * | 2016-06-20 | 2016-10-26 | 陈�胜 | Dynamic target tracking system and dynamic target tracking method based on electronic map and video surveillance |
| CN105894702B (en) * | 2016-06-21 | 2018-01-16 | 南京工业大学 | A kind of intrusion detection warning system and its detection method based on multiple-camera data fusion |
| CN105894702A (en) * | 2016-06-21 | 2016-08-24 | 南京工业大学 | Invasion detecting alarming system based on multi-camera data combination and detecting method thereof |
| CN106127141A (en) * | 2016-06-21 | 2016-11-16 | 北京小米移动软件有限公司 | Warning message generates method and device |
| CN106127142A (en) * | 2016-06-21 | 2016-11-16 | 北京小米移动软件有限公司 | Object tracking method and device |
| CN106355886A (en) * | 2016-08-31 | 2017-01-25 | 智慧互通科技有限公司 | Parking management system for open type parking lot and management method of parking management system |
| CN106355886B (en) * | 2016-08-31 | 2019-11-15 | 智慧互通科技有限公司 | A kind of open type parking ground parking management system and its management method |
| CN106682596A (en) * | 2016-12-14 | 2017-05-17 | 苏州航天系统工程有限公司 | Violation fishing monitoring method based on video image analysis |
| CN106791676B (en) * | 2016-12-30 | 2019-09-10 | 北京农信互联科技有限公司 | livestock breeding monitoring system |
| CN106791676A (en) * | 2016-12-30 | 2017-05-31 | 北京农信互联科技有限公司 | Livestock breeding monitoring system |
| US10252701B2 (en) | 2017-01-04 | 2019-04-09 | Industrial Technology Research Institute | Object tracking system and method therewith |
| CN106713869B (en) * | 2017-01-10 | 2020-02-14 | 苏尼特左旗晟兴电子商贸有限责任公司 | Cloud intelligent pasture wireless monitoring and tracking method, device and system |
| CN106713869A (en) * | 2017-01-10 | 2017-05-24 | 苏尼特左旗晟兴电子商贸有限责任公司 | Method, device and system for remotely monitoring pasture land |
| CN106600977A (en) * | 2017-02-13 | 2017-04-26 | 深圳英飞拓科技股份有限公司 | Parking violation detection method and system based on multi-feature identification |
| CN106600977B (en) * | 2017-02-13 | 2020-09-15 | 深圳英飞拓科技股份有限公司 | Multi-feature recognition-based illegal parking detection method and system |
| CN108629794A (en) * | 2017-03-24 | 2018-10-09 | 鸿富锦精密工业（深圳）有限公司 | Object method for tracing and system |
| CN106851226A (en) * | 2017-03-29 | 2017-06-13 | 宁夏宁信信息科技有限公司 | The monitoring method and system of the camera adjust automatically based on user behavior recognition |
| CN106851224A (en) * | 2017-03-29 | 2017-06-13 | 宁夏凯速德科技有限公司 | Intelligent video frequency monitoring method and system based on user behavior recognition |
| CN106851226B (en) * | 2017-03-29 | 2018-07-31 | 宁夏宁信信息科技有限公司 | The monitoring method and system of camera adjust automatically based on user behavior recognition |
| CN107316463A (en) * | 2017-07-07 | 2017-11-03 | 深圳市诺龙技术股份有限公司 | A kind of method and apparatus of vehicle monitoring |
| CN107592508A (en) * | 2017-10-10 | 2018-01-16 | 珠海市领创智能物联网研究院有限公司 | A kind of intelligent track identification system |
| CN107909050B (en) * | 2017-11-29 | 2021-07-23 | 中科新松有限公司 | Personnel identity information determination method, system, equipment and storage medium |
| CN107909050A (en) * | 2017-11-29 | 2018-04-13 | 中科新松有限公司 | A kind of personnel identity information determines method, system, equipment and storage medium |
| CN109240342A (en) * | 2018-03-14 | 2019-01-18 | 曹红娟 | Vehicle on-site identification method |
| CN108537205A (en) * | 2018-04-20 | 2018-09-14 | 广州林邦信息科技有限公司 | A kind of animal population diversity monitoring method, apparatus and server |
| CN108495045B (en) * | 2018-05-17 | 2020-11-27 | Oppo广东移动通信有限公司 | Image capturing method, image capturing apparatus, electronic apparatus, and storage medium |
| CN108495045A (en) * | 2018-05-17 | 2018-09-04 | Oppo广东移动通信有限公司 | Image capturing method, device, electronic device and storage medium |
| CN108550218A (en) * | 2018-06-01 | 2018-09-18 | 厦门市市政工程设计院有限公司 | A kind of bicycle capacity integrated control system and its management-control method |
| CN108550218B (en) * | 2018-06-01 | 2024-03-22 | 厦门市市政工程设计院有限公司 | Comprehensive management and control system and management and control method for bicycle special lane |
| CN111052193A (en) * | 2018-06-29 | 2020-04-21 | 百度时代网络技术（北京）有限公司 | Anti-theft technique for autonomous vehicles for transporting goods |
| CN108960128A (en) * | 2018-06-29 | 2018-12-07 | 贵州省仁怀市西科电脑科技有限公司 | A kind of safety defense monitoring system for warehouse |
| CN108960128B (en) * | 2018-06-29 | 2022-07-22 | 云侠科技(苏州)有限公司 | Security monitoring system for warehouse |
| CN109389794A (en) * | 2018-07-05 | 2019-02-26 | 北京中广通业信息科技股份有限公司 | A kind of Intellectualized Video Monitoring method and system |
| CN110716803A (en) * | 2018-07-13 | 2020-01-21 | 中强光电股份有限公司 | Computer system, resource allocation method and image identification method thereof |
| CN109087470A (en) * | 2018-07-19 | 2018-12-25 | 广州市捍御者信息科技有限公司 | Monitoring instruction system and method for monitoring instruction |
| CN110895709A (en) * | 2018-09-12 | 2020-03-20 | 庄连豪 | Special anti-terrorist service device, system and implementation method thereof |
| WO2020057350A1 (en) * | 2018-09-21 | 2020-03-26 | 深圳市九洲电器有限公司 | Moving object recognition method, device, and system |
| CN109257572A (en) * | 2018-11-01 | 2019-01-22 | 珠海格力电器股份有限公司 | A kind of control method of monitoring head, device, equipment, medium and security system |
| CN109460031A (en) * | 2018-11-28 | 2019-03-12 | 科大智能机器人技术有限公司 | A kind of system for tracking of the automatic tractor based on human bioequivalence |
| CN111343377A (en) * | 2018-12-19 | 2020-06-26 | 杭州海康威视系统技术有限公司 | Camera control method, device, system and storage medium |
| CN109829369A (en) * | 2018-12-25 | 2019-05-31 | 深圳市天彦通信股份有限公司 | Target determines method and relevant apparatus |
| CN109785562A (en) * | 2018-12-29 | 2019-05-21 | 华中光电技术研究所（中国船舶重工集团有限公司第七一七研究所） | A kind of vertical photoelectricity ground based threats warning system and suspicious object recognition methods |
| CN109785562B (en) * | 2018-12-29 | 2023-08-15 | 华中光电技术研究所（中国船舶重工集团有限公司第七一七研究所） | Vertical photoelectric ground threat alert system and suspicious target identification method |
| CN110069339A (en) * | 2019-01-10 | 2019-07-30 | 中国电子科技集团公司电子科学研究院 | A kind of Distributed identification tracking system |
| CN110069339B (en) * | 2019-01-10 | 2022-06-24 | 中国电子科技集团公司电子科学研究院 | Distributed recognition tracking system |
| CN109886236A (en) * | 2019-03-01 | 2019-06-14 | 苏州星奥达科技有限公司 | A kind of video analysis method based on magnanimity crowd behaviour |
| CN110177255A (en) * | 2019-05-30 | 2019-08-27 | 北京易华录信息技术股份有限公司 | A kind of video information dissemination method and system based on case scheduling |
| CN110222640A (en) * | 2019-06-05 | 2019-09-10 | 浙江大华技术股份有限公司 | Monitor recognition methods, device, method and the storage medium of suspect in place |
| CN110222640B (en) * | 2019-06-05 | 2022-02-18 | 浙江大华技术股份有限公司 | Method, device and method for identifying suspect in monitoring site and storage medium |
| CN110288738A (en) * | 2019-06-28 | 2019-09-27 | 北京无线电计量测试研究所 | A kind of cycle path intelligent comprehensive managing and control system and management-control method |
| CN110288738B (en) * | 2019-06-28 | 2022-09-23 | 北京无线电计量测试研究所 | Intelligent comprehensive management and control system and method for bicycle lane |
| 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 |
| CN110456831B (en) * | 2019-08-16 | 2022-06-14 | 南开大学 | Mouse contact behavior tracking platform based on active vision |
| CN110456831A (en) * | 2019-08-16 | 2019-11-15 | 南开大学 | A kind of mouse touching act tracking platform based on active vision |
| CN111191711A (en) * | 2019-12-27 | 2020-05-22 | 恒大智慧科技有限公司 | Method, device and medium for preventing Alzheimer's disease elderly from being lost in smart community |
| CN111523397A (en) * | 2020-03-31 | 2020-08-11 | 深圳市奥拓电子股份有限公司 | Intelligent lamp pole visual identification device, method and system and electronic equipment |
| CN111523397B (en) * | 2020-03-31 | 2023-11-24 | 深圳市奥拓电子股份有限公司 | Intelligent lamp post visual identification device, method and system and electronic equipment thereof |
| CN111770266A (en) * | 2020-06-15 | 2020-10-13 | 北京世纪瑞尔技术股份有限公司 | Intelligent visual perception system |
| CN112633068A (en) * | 2020-11-25 | 2021-04-09 | 河北汉光重工有限责任公司 | Cloud system is tracked in people's car image recognition based on land defense control |
| CN112911138A (en) * | 2021-01-14 | 2021-06-04 | 姜勇 | Method and system for recording moving track of camera |
| CN114758461A (en) * | 2021-01-26 | 2022-07-15 | 国网山东省电力公司蒙阴县供电公司 | Warning method for multi-dimensional accurate power grid based on warning column |
| CN114001255A (en) * | 2021-09-16 | 2022-02-01 | 浙江大华技术股份有限公司 | Control method for rotation of pan-tilt camera, pan-tilt camera and electronic device |
| CN115690162B (en) * | 2022-12-28 | 2023-03-10 | 武汉凡德智能科技有限公司 | Method and device for detecting moving large target in fixed video |
| CN115690162A (en) * | 2022-12-28 | 2023-02-03 | 武汉凡德智能科技有限公司 | Method and device for detecting moving large target in fixed video |
| CN116066802A (en) * | 2023-03-10 | 2023-05-05 | 山东省金海龙建工科技有限公司 | Intelligent street lamp for parking system |
| CN116347036A (en) * | 2023-03-14 | 2023-06-27 | 电子科技大学 | Security monitoring communication server based on Internet of things and artificial intelligence |
| CN116503814A (en) * | 2023-05-24 | 2023-07-28 | 北京安录国际技术有限公司 | Personnel tracking method and system for analysis |
| CN116503814B (en) * | 2023-05-24 | 2023-10-24 | 北京安录国际技术有限公司 | Personnel tracking method and system for analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101465033B (en) | 2011-01-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101465033B (en) | Automatic tracking recognition system and method | |
| CN201278180Y (en) | Automatic tracking recognition system | |
| WO2021253961A1 (en) | Intelligent visual perception system | |
| CN108802758B (en) | Intelligent security monitoring device, method and system based on laser radar | |
| CN101751744B (en) | Detection and early warning method of smoke | |
| CN101635834A (en) | Automatic tracing identification system for artificial neural control | |
| CN108319926A (en) | A kind of the safety cap wearing detecting system and detection method of building-site | |
| CN104971458B (en) | Based on the more fire source recognition methods for automatically tracking positioning jet stream extinguishing device | |
| CN106128053A (en) | A kind of wisdom gold eyeball identification personnel stay hover alarm method and device | |
| CN103839373A (en) | Sudden abnormal event intelligent identification alarm device and system | |
| CN112235537B (en) | Transformer substation field operation safety early warning method | |
| CN101969548A (en) | Active video acquiring method and device based on binocular camera shooting | |
| CN113676702B (en) | Video stream-based target tracking and monitoring method, system, device and storage medium | |
| CN210899299U (en) | Tunnel monitoring system | |
| CN110619276B (en) | Anomaly and violence detection system and method based on unmanned aerial vehicle mobile monitoring | |
| CN107360394A (en) | More preset point dynamic and intelligent monitoring methods applied to frontier defense video monitoring system | |
| KR101492473B1 (en) | Context-aware cctv intergrated managment system with user-based | |
| CN106127814A (en) | A kind of wisdom gold eyeball identification gathering of people is fought alarm method and device | |
| CN107590834A (en) | A kind of road traffic accident video detecting method and system | |
| CN112485781B (en) | Anti-unmanned aerial vehicle unmanned system and method based on deep learning | |
| CN110070055A (en) | A kind of capital construction scene safety detecting system and method based on deep learning | |
| CN105516661B (en) | Principal and subordinate's target monitoring method that fisheye camera is combined with ptz camera | |
| CN201130382Y (en) | Multifunctional identification automatic recognition robot | |
| CN114359712A (en) | Safety violation analysis system based on unmanned aerial vehicle inspection | |
| CN113044694A (en) | Construction site elevator people counting system and method based on deep neural network |
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 | ||
| ASS | Succession or assignment of patent right |
Owner name: INTELLVISION TRADING (SHENZHEN) CO., LTD. Free format text: FORMER OWNER: DING GUOFENG Effective date: 20121203 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 100107 CHAOYANG, BEIJING TO: 518033 SHENZHEN, GUANGDONG PROVINCE |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20121203 Address after: 518033 Guangdong city of Shenzhen province Futian District Fuhua Road, jiahuixincheng business center 1510 Patentee after: Intellvision Trading (Shenzhen) Co., Ltd. Address before: 100107 Beijing Chaoyang District Anli road Wankexingyuan 2 Room No. 2007 Patentee before: Ding Guofeng |
|
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110126 Termination date: 20130528 |