CN109688378B - Image information processing method, vehicle, server and storage device - Google Patents
Image information processing method, vehicle, server and storage device Download PDFInfo
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- 238000004590 computer program Methods 0.000 claims description 8
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- 238000012806 monitoring device Methods 0.000 description 9
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Abstract
The embodiment of the invention discloses an image information processing method, which is applied to a vehicle and comprises the following steps: collecting image information; identifying whether specific information is contained in the image information; the specific information at least comprises information which can be used for indicating a specific event or a specific person; if the image information contains the specific information, acquiring the position information of the position of the vehicle when the image information is acquired; and reporting the image information containing the specific information and the position information to a server. The embodiment of the invention also discloses a vehicle, a server and a computer storage medium.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to an image information processing method, a vehicle, a server, and a computer storage medium.
Background
In the existing monitoring platform, monitoring is generally realized by performing centralized analysis processing on all shot images. For example, the sky-eye system is a system which can remotely control and view a camera at a client through a network by installing the camera at a place needing to be monitored and then configuring and associating the camera at a mobile phone client and a computer client. Therefore, as the monitoring platform or the system needs to process a large amount of video image information, the monitoring platform or the system has great workload, and the camera needs to be specially installed, so that the use and installation cost of the monitoring platform is extremely high.
Disclosure of Invention
Embodiments of the present invention provide an image information processing method, a vehicle, a server, and a computer storage medium.
The technical scheme of the invention is realized as follows:
the embodiment of the invention provides an image information processing method, which is applied to a vehicle and comprises the following steps:
collecting image information;
identifying that specific information is contained in the image information; the specific information at least comprises information which can be used for indicating a specific event or a specific person;
if the image information contains the specific information, acquiring the position information of the position of the vehicle when the image information is acquired;
and reporting the image information containing the specific information and the position information to a server.
In the above scheme, the method further comprises:
if the image information contains the specific information, acquiring time information of the image information at the acquisition moment;
and reporting the time information to the server.
In the above scheme, the method further comprises:
receiving a task request issued by a server;
the identifying whether the image information contains specific information includes:
and identifying whether the image information contains the specific information or not based on the specific information carried by the task request.
In the above aspect, when the specific information is information of a specific person, the information of the specific person includes first face image information of at least one specific person;
the identifying whether the image information contains the specific information based on the specific information carried by the task request includes:
detecting whether second face image information exists in the image information or not;
if second face image information exists, extracting the second face image information from the image information;
comparing the first face image information with the second face image information;
determining the similarity value of the first face image information and the second face image information according to the comparison result;
if the similarity value is larger than or equal to a threshold value, determining that the image information contains the specific information;
and/or determining that the image information does not contain the specific information if the similarity value is smaller than a threshold value.
In the above solution, when the specific information is information of a specific scene, the information of the specific scene includes feature information that can indicate the scene;
the identifying whether the image information contains specific information includes:
according to the analysis processing of the image information, whether the image information contains the characteristic information of the scene or not is determined, and if the image information contains the characteristic information of the scene, the collected image information is determined to contain the specific information; and/or if not, determining that the specific information is not contained in the image information.
In the above scheme, the method further comprises:
detecting whether the vehicle is within a specified first area range; the first area range refers to a monitoring area range which is planned in advance and is performing monitoring;
and if so, not identifying whether the image information contains the features, and/or not reporting the image information containing the feature information and the position information to the server.
The embodiment of the invention also provides an image information processing method, which is applied to a server and comprises the following steps: receiving position information of the position of the vehicle at the acquisition moment of the image information and image information containing the specific information, which are acquired by a vehicle through identifying that the acquired image information contains the specific information; the specific information includes at least information that can be used to indicate a specific event or a specific character.
In the above scheme, the time information of the returned image information at the acquisition time is received based on the specific information contained in the image information by the vehicle.
In the above scheme, the method further comprises: and issuing a task request to the vehicle, wherein the task request carries the specific information.
In the above solution, the issuing a task request to the vehicle includes: issuing a task request to the vehicles within the designated second area range; the second area range refers to an area range where the specific event is suspected to occur or a specific person appears.
The embodiment of the invention also provides a vehicle, which comprises a processor and a memory for storing a computer program capable of running on the processor, wherein the processor is used for realizing the image information processing method when running the computer program.
The embodiment of the invention also provides a server, which comprises a processor and a memory for storing a computer program capable of running on the processor, wherein the processor is used for realizing the image information processing method when running the computer program.
The present invention also provides a computer storage medium storing an executable program which, when executed by a processor, implements the image information processing method applied to a vehicle as described above, or implements the image information processing method applied to a server as described above.
The embodiment of the invention provides an image information processing method, a vehicle, a server and a computer storage medium, which are used for acquiring image information; identifying whether specific information is contained in the image information; the specific information at least comprises information which can be used for indicating a specific event or a specific person; if the image information contains the specific information, acquiring the position information of the position of the vehicle when the image information is acquired; and reporting the image information containing the specific information and the position information to a server. Therefore, the original image acquisition device of the vehicle can be fully utilized to assist the server (monitoring platform) to monitor, for example, a vehicle data recorder or a camera device which is originally started by the vehicle is utilized to monitor, and a new camera device is not required to be additionally arranged for monitoring by the server, so that the use and installation cost of the camera device is saved; based on the movement flexibility of the vehicle, the system can also assist the server to monitor blind areas which cannot be monitored originally; secondly, the identification processing process of whether the image information has the specific information is executed on the side of the vehicle, that is, the vehicle only needs to identify the image information collected by the vehicle, judges whether the image information with the characteristic information exists in the image information collected by the vehicle, and if so, sends the image information and the position information of the vehicle at the time of collection of the image information to the server; therefore, the server does not need to process a large amount of image information (image information uploaded by all monitoring equipment) to obtain the image information with the characteristic information, the workload of the server or a monitoring platform is reduced, the work of image information processing is distributed to each vehicle, the processing task of the image information can be independently executed based on each vehicle, and the efficiency of image information processing is improved.
Drawings
Fig. 1 is a schematic flowchart of an image information processing method according to an alternative embodiment of the present invention;
FIG. 2 is a flowchart illustrating an image information processing method according to an alternative embodiment of the present invention;
FIG. 3 is a schematic view of a scene of image information processing according to an alternative embodiment of the present invention;
FIG. 4 is a functional block diagram of an image processing apparatus according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of an image information processing apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by those skilled in the art, the technical solutions in the embodiments of the present invention are described below in a clear and complete manner, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as shown or described. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The image information processing method provided by the embodiment of the invention is mainly applied to an Internet of vehicles system; the Internet of vehicles system comprises a vehicle and a server; the vehicle can establish a communication connection with the server.
Here, the communication connection may be a communication connection through a General Packet Radio Service (GPRS) network, a Global System for Mobile communications (GSM) network, a Wireless communication Protocol (WAP) network, a Code Division Multiple Access (CDMA) network, or the like; the communication connection can also be carried out through a 3G network, a 4G network, a 5G network and the like; communication connection can also be performed through bluetooth, infrared, Wireless Local Area Networks (WLAN), and the like.
It is understood that the vehicle includes an automobile, an electric vehicle, a ship, etc. for transportation or transportation. Various terminals can be arranged in the vehicle, such as a terminal provided with a Global Positioning System (GPS) device or a GPS sensor, and can be used for capturing position information of the position of the vehicle; and/or a terminal equipped with an image acquisition device that can be used to acquire image information. The vehicle can send the data collected by the terminal to a server or other vehicle-mounted terminals based on the terminal.
It is understood that the vehicle may further comprise a terminal provided with a display screen, which may be a touch screen; the terminal can execute the identification processing of the image information to the control instruction triggered by the display screen through the data processor, or execute the reporting processing of sending the image information and the position information to the server.
It will be appreciated that the server may comprise a cloud server including at least a processor and a storage medium. Here, the server may be a monitoring platform or a monitoring system.
An embodiment of the present invention provides an image information processing method applied to a vehicle, and fig. 1 is a schematic flow chart of the image information processing method according to an optional embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step 101: and collecting image information.
The image information is collected by the vehicle, so that a determined result, such as a result of determining that the image information contains specific information, is sent to the monitoring platform after the image information is analyzed and processed. The following server may be understood as a monitoring platform, so that the server provides services for relevant departments based on the received determination result, for example, providing monitoring services for public security departments, providing tracking and positioning services for public security departments, and the like.
Here, the vehicle acquires the image information by using an existing image acquisition device, for example, a drive recorder on the vehicle, or an image pickup apparatus originally mounted on the vehicle. Therefore, the method can be realized only by means of the conventional image acquisition device of the vehicle without additionally installing camera equipment, so that the cost is saved; meanwhile, based on the movement flexibility of the vehicle, the monitoring range is not limited by the monitoring area, and the area where the vehicle can travel can be monitored, so that the blind area of the original monitoring is reduced.
Step 102: identifying whether specific information is contained in the image information; the specific information includes at least information that can be used to indicate a specific event or a specific character.
Here, the identification of whether the image information includes the specific information may include at least the following two identification methods.
In a first mode, whether the image information contains the specific information is identified by comparing the image information with the specific information. For example, the specific information includes, but is not limited to: a portrait of a particular person; or portrait characteristic information of a specific person. The specific person may include: lost children or elderly people, escaping criminals or criminal suspects, etc.
In an embodiment, please refer to fig. 2, where fig. 2 is a schematic flowchart of an image information processing method according to an alternative embodiment of the present invention, and as shown in fig. 2, the method further includes:
step 201: receiving a task request issued by a server;
Here, the server transmits specific information stored in advance to the vehicle along with a task request.
Wherein, the receiving the task request issued by the server may further include: receiving a task request issued by a server upon reception based on a user indication; that is, the user may determine whether to receive a task request according to the selection.
Specifically, referring to fig. 3, fig. 3 is a schematic view of a scene of image information processing according to an alternative embodiment of the present invention, as shown in fig. 3, a selection control is displayed on a display screen of a vehicle for a user to select whether to receive the task request, and when the user selects a "yes" operation control, the vehicle is indicated to receive the task request issued by the server. If the vehicle receives the task request, the vehicle performs image recognition after acquiring the image and determines whether the image needs to be reported to the server.
It is to be understood that sending specific information to the vehicle may include sending a photograph or video with the specific information to the vehicle.
In another embodiment, the vehicle stores the specific information, and when the identification processing is required, the stored specific information is called to perform the subsequent identification processing. It will be appreciated that the specific information has been received by the vehicle at the time of the previous task request and stored in the memory of the vehicle, and may be retrieved directly from the memory at the time of the next task.
The specific information comprises information of a specific event, and it is understood that specific license plate number information, specific article information, specific landform information and the like can be one of the information of the specific event; in addition, the specific information also includes specific personal information.
Based on this, the identifying whether the image information includes the specific information based on the specific information carried by the task request may include:
comparing the specific information carried by the task request with the image information collected by the vehicle, and determining the similarity value of the image information and the specific information according to the comparison result;
if the similarity value is larger than or equal to a threshold value, determining that the image information contains the specific information, and/or if the similarity value is smaller than the threshold value, determining that the image information does not contain the specific information.
In fact, the image or video with specific information sent by the server is compared with the image or video collected by the vehicle, and whether the image or video collected by the vehicle is successfully matched with the image or video with specific information sent by the server is determined to determine whether the vehicle monitors the specific event or the specific person. In this way, the specific event, such as a vehicle with a specific license plate number, a lost article, a specific feature, etc., can be tracked or monitored by the vehicle, and the specific character can also be tracked or monitored by the vehicle. That is, the vehicle directly outputs image information having specific information obtained after the comparison processing has been performed to the server. Therefore, the processing result can be obtained from the vehicle end only by the server issuing the task request and sending the sample information, namely the specific information, to the vehicle along with the task request, so that the workload of analyzing and processing a large amount of data in the monitoring process of the server is reduced, and the efficiency of image information processing can be improved.
Specifically, when the specific information is information of a specific person, the information of the specific person includes first face image information of at least one specific person. The task request issued by the server carries the specific information, and the specific information includes: the task request issued by the server carries information including the first facial image, and it can be understood that, for example, when the server issues the task request, the server sends the photo or the video with the first facial image information to the transportation means together.
Here, the identifying whether the image information includes the specific information based on the specific information carried by the task request includes:
detecting whether second face image information exists in the image information or not;
here, the vehicle firstly analyzes and processes the image information to obtain whether the image information contains face image information, and only the image information containing face image information is subjected to the next comparison processing operation, so that the comparison times of the processor can be reduced, and the workload of the vehicle can be reduced.
If second face image information exists, extracting the second face image information from the image information;
comparing the first face image information with the second face image information;
determining the similarity value of the first face image information and the second face image information according to the comparison result;
if the similarity value is larger than or equal to a threshold value, determining that the image information contains the specific information; and/or determining that the specific information is not contained in the image information if the similarity value is smaller than a threshold value.
It is to be added that the vehicle is provided with at least two camera devices for acquiring two different viewing angles, wherein at least one first camera device is used for acquiring image information outside the vehicle, and at least one second camera device is used for acquiring image information inside the vehicle. If the vehicle receives the specific information which is sent by the server and carries the first face image information, the vehicle can control the second camera to be started, and only the image information collected by the second camera is identified and processed, so that the workload of image processing can be reduced, and the processing efficiency is improved.
In another embodiment, the vehicle is provided with a rotatable camera, and the rotation of the camera can be used for collecting image information of a visual angle within the rotatable range of the camera. If the vehicle receives the specific information which is sent by the server and carries the first face image information, the vehicle can control the rotatable camera to rotate so as to collect the image information in the vehicle, and then only the image information in the vehicle is collected and only the image information in the vehicle is identified, so that the collection of unnecessary image information (image information outside the vehicle) is reduced, the workload of image processing is reduced, and the task completion efficiency is improved.
Correspondingly, if the vehicle receives that the specific information sent by the server is the specific license plate number information or the specific geomorphic information, the vehicle can control the vehicle to only identify the image information outside the vehicle. Specifically, only the image information outside the vehicle collected by the first camera is processed through control, or the rotatable camera is rotated to a position where the image outside the vehicle can be shot.
In the second mode, whether the specific information is included in the image information is identified by analyzing the image information.
Specifically, when the specific information is information of a specific scene, the information of the specific event includes feature information that can indicate the scene; the identifying whether the image information includes the specific information includes:
according to the analysis processing of the image information, determining whether the image information contains the characteristic information of the scene, if so, determining that the image information contains the specific information; and/or if not, determining that the specific information is not contained in the image information.
Here, determining whether or not feature information of the scene is included in the image information according to the analysis processing of the image information includes: the image information can be analyzed and processed based on a machine learning model such as a neural network or a vector machine, and whether the image information contains characteristic information of the scene or not can be determined so as to determine the scene such as collision, mountain landslide, human body collision and the like.
In this embodiment, whether the image information includes the specific information is identified according to the analysis processing of the image information, so that the specific scene can be identified by using a vehicle, and thus, the monitoring of traffic accidents or dangerous cases can be realized for some remote areas and areas without monitoring without depending on the identification of the specific scene in the monitoring area, so that the existing monitoring range is wider.
Step 103: and if the image information contains the specific information, acquiring the position information of the position of the vehicle at the acquisition moment of the image information.
Step 104: and reporting the image information containing the specific information and the position information to the server.
Additionally, the method further comprises: if the image information contains the characteristic information, acquiring time information of the image information at the acquisition moment; and reporting the time information to the server.
Here, the report from the vehicle to the server includes not only the image information and the position information of the vehicle at the time of the image information being collected, but also the time information of the image information at the time of the image information being collected. Therefore, the server can judge the time and the place of the specific person or the specific event, and can check the specific state of the specific person or the specific event from the image information, thereby being beneficial to relevant departments to rapidly issue corresponding processing schemes according to the information. For example, the police department can obtain the position, time and the like of a suspect appearing in a vehicle and the vehicle through the information, and can immediately allocate police force to a corresponding place to grab the suspect.
Further, in an embodiment, the method further comprises: detecting whether the vehicle is within a specified first area range; the first area range refers to a monitoring area range which is planned in advance and is performing monitoring; and if so, not identifying whether the image information contains the specific information, and/or not reporting the image information containing the characteristic information and the position information to the server.
The first area range may be provided with a monitoring device, and the outside of the first area range is provided with a fixed monitoring device. In some embodiments, the density of the monitoring devices within the first area range is greater than the density of the monitoring devices outside the first area range, so that a camera carried by a vehicle can be used as the monitoring devices outside the first area range to make up for the use of the mobile monitoring devices outside the first area range. The monitoring devices disposed within and outside of the first area may be stationary monitoring devices, such as stationary monitoring devices disposed on light poles or utility poles.
The vehicle judges whether the image contains the specific information or not and reports the specific information to the server only outside the first area range, so that unnecessary judgment and reporting processing of the vehicle outside the first area range is reduced.
It should be noted that the map information of the transportation means stores relevant information on whether each area is a monitored area. The detecting whether the vehicle is within a specified first area range comprises: determining whether the vehicle is within a specified first area range based on the map information of the vehicle and the position information of the current position of the vehicle.
In another embodiment, the detecting whether the vehicle is within a designated first zone comprises: the method comprises the steps that image information acquired through an image acquisition device of the vehicle is used for determining whether the vehicle is in a specified first area range or not based on whether image information of a camera exists in the image information or not.
In another embodiment, detecting whether the vehicle is within a specified first area further comprises the vehicle sending a detection signal to the server for a monitored area; receiving a detection result returned by the server based on the detection information, and determining that the vehicle is in a specified first area range when the detection result is in a monitoring area; and when the detection result is a non-monitoring area, determining that the vehicle is not in a specified first area range. It should be noted that the detection signal carries the position information of the position where the vehicle is located, the detection signal is sent to the server, the server determines whether the vehicle is within the first designated area based on the comparison between the position information carried in the detection signal and the position information of the monitoring area pre-stored in the server and whether the monitoring operation is being executed in the monitoring area,
here, when the vehicle is within the first specified area range, it is not identified whether the specific information is included in the image information; and/or not reporting the image information containing the characteristic information and the position information to a server. Therefore, when the vehicle is in the monitoring area range, the monitoring function is not required to be started again, and/or the vehicle does not send the image information containing the characteristic information and the position information to the server, so that repeated monitoring is caused, the energy consumption of the vehicle due to image recognition processing is saved, and the network flow of the vehicle is saved.
The image information processing method provided by the embodiment is applied to a vehicle, and the vehicle acquires image information; identifying whether the specific information is included in the image information; the specific information at least comprises information which can be used for indicating a specific event or a specific person; if the image information contains the specific information, acquiring the position information of the position of the vehicle when the image information is acquired; and reporting the image information containing the specific information and the position information to the server. Therefore, the original image acquisition device of the vehicle can be fully utilized to assist the server (monitoring platform) to monitor, for example, a vehicle data recorder or a camera device which is originally started by the vehicle is utilized to monitor, and a new camera device is not required to be additionally arranged for monitoring by the server, so that the use and installation cost of the camera device is saved; based on the movement flexibility of the vehicle, the system can also assist the server to monitor blind areas which cannot be monitored originally; secondly, the identification processing process of whether the image information has the specific information is executed on the side of the vehicle, that is, the vehicle only needs to identify the image information collected by the vehicle, judges whether the image information with the characteristic information exists in the image information collected by the vehicle, and if so, sends the image information and the position information of the vehicle at the time of collection of the image information to the server; therefore, the server does not need to process a large amount of image information (image information uploaded by all monitoring equipment) to obtain the image information with the characteristic information, the workload of the server or a monitoring platform is reduced, the work of image information processing is distributed to each vehicle, the processing task of the image information can be independently executed based on each vehicle, and the efficiency of image information processing is improved.
Further, an embodiment of the present invention provides an image information processing method, which is applied to a server, and the method includes: receiving position information of the position of the vehicle at the acquisition moment of the acquired image information and image information containing the specific information by the vehicle through identifying the specific information contained in the acquired image information; the specific information includes at least information that can be used to indicate a specific event or a specific character.
The server can locate the position of the specific event or the specific person displayed in the image information through the image information and the position information reported by the vehicle without processing the image information, and the position is used for the server or the monitoring platform to monitor the specific event or the specific person, so the workload of the server is saved, and the image processing efficiency is improved. Further, due to the mobility flexibility of the vehicle, the server or the monitoring platform is also assisted to monitor blind areas which cannot be monitored originally.
Based on this, in an embodiment, the method further comprises: and receiving the time information of the returned image information at the acquisition moment of the vehicle based on the specific information contained in the image information. That is, in this embodiment, the server receives the image information returned by the vehicle, the position information of the vehicle at the acquisition time corresponding to the image information, and the time information of the acquisition time of the image information. Based on the acquired information, the time and the place of the specific person or the specific event can be judged, and the specific condition of the specific person or the specific event can be checked from the image information, so that the related department can rapidly issue a corresponding processing scheme according to the information received by the server.
Based on this, in another embodiment, the method further comprises: and issuing a task request to the vehicle, wherein the task request carries the specific information.
Here, the server may issue a task request to the vehicle, where the task request may carry the specific information, so that the vehicle performs comparison analysis processing on the image information based on the specific information to determine whether the image information includes the specific information. Particularly, for comparison and analysis of information of a specific person, whether the image information contains the specific information can be quickly determined through the comparison and analysis, and the efficiency of monitoring processing is improved.
Based on this, in another embodiment, the issuing a mission request to the traffic includes: issuing a task request to the vehicles within the designated second area range; the second area range refers to an area range where the specific event or the specific person is suspected to appear.
Here, since the server issues the task request only to the transportation means within the designated second area range, the monitoring range can be narrowed, and since only the area range suspected of having the specific event or the specific person is monitored, the monitoring accuracy can be improved, and at the same time, the monitoring range is reduced, the data processing amount can be reduced, the data processing efficiency can be improved, and the monitoring processing efficiency can be improved. For example, if a certain old man is lost in city a, at this time, only a task request needs to be issued to a vehicle in city a to assist the server or the monitoring platform to track the old man, so that the monitoring processing is performed in a small range, and the searching efficiency and the searching accuracy are improved.
Further, in order to implement the method according to the embodiment of the present invention, an embodiment of the present invention further provides an image information processing apparatus, which is used for implementing the specific details of the application of the image information processing method to a vehicle, so as to achieve the same effect.
FIG. 4 is a functional block diagram of an image processing apparatus according to an embodiment of the present invention; as shown in fig. 4, the apparatus includes: an image acquisition module 41, a recognition module 42, an acquisition module 43 and a first sending module 44; wherein,
the image acquisition module 41 is configured to acquire image information;
the identification module 42 is configured to identify whether the image information includes the specific information; the specific information at least comprises information which can be used for indicating a specific event or a specific person;
the obtaining module 43 is configured to obtain, if the image information includes the specific information, position information of a position where the vehicle is located at the time of acquiring the image information;
the first sending module 44 is configured to report the image information and the location information that include the specific information to the server.
Optionally, the obtaining module 43 is further configured to obtain time information of the image information at the acquisition time if the image information includes the specific information;
the first sending module 44 is further configured to report the time information to the server.
Optionally, the apparatus further includes a first receiving module, configured to receive a task request issued by a server;
the identifying module 42 is further configured to identify whether the image information includes the specific information based on the specific information carried in the task request.
Optionally, when the specific information is information of a specific person, the information of the specific person includes first face image information of at least one specific person;
the identification module is further used for detecting whether second face image information exists in the image information; if second face image information exists, extracting the second face image information from the image information; comparing the first face image information with the second face image information; determining the similarity value of the first face image information and the second face image information according to the comparison result; if the similarity value is larger than or equal to a threshold value, determining that the image information contains the specific information; and/or determining that the specific information is not contained in the image information if the similarity value is smaller than a threshold value.
Optionally, when the specific information is information of a specific event, the information of the specific event includes feature information that can indicate the scene; the identification module 42 is further configured to determine whether the image information includes the feature information of the scene according to analysis processing of the image information, and if so, determine that the image information includes the specific information; and/or if not, determining that the specific information is not contained in the image information.
Optionally, the apparatus further comprises a detection module for detecting whether the vehicle is within a specified first area; the first area range refers to a monitoring area range which is planned in advance and is performing monitoring; if so, not identifying whether the image information contains the specific information or not, or not reporting the image information containing the characteristic information and the position information to the server.
Further, in order to implement the method according to the embodiment of the present invention, an embodiment of the present invention further provides an image information processing apparatus, which is used for implementing the specific details of the application of the image information processing method to the server, so as to achieve the same effect.
The image information processing apparatus includes: the second receiving module is used for receiving the position information of the position of the vehicle at the acquisition moment of the image information and the image information containing the specific information, which are acquired by the vehicle through identifying that the acquired image information contains the specific information; the specific information includes at least information that can be used to indicate a specific event or a specific character.
Optionally, the second receiving module is further configured to receive time information of the returned image information at the acquisition time based on that the image information includes the specific information.
Optionally, the apparatus further includes a second sending module, configured to issue a task request to the vehicle, where the task request carries the specific information.
Optionally, the second sending module is further configured to issue a task request to the vehicles within the specified second area range; the second area range refers to an area range which is set in a suspected area where the specific event occurs or a specific person appears.
The image information processing apparatus provided in the above embodiment is exemplified by the division of each program module when performing image information processing, and in practical applications, the above processing may be distributed to different program modules according to needs, that is, the content structure of the apparatus may be divided into different program modules to complete all or part of the above-described processing. In addition, the image information processing apparatus and the image information processing method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments, and are not described herein again.
Further, an embodiment of the present invention further provides an image information processing system, where the system includes: a vehicle, a server; wherein,
the vehicle collects image information; identifying whether the specific information is included in the image information; the specific information at least comprises information which can be used for indicating a specific event or a specific person; if the image information contains the specific information, acquiring the position information of the position of the vehicle when the image information is acquired; and reporting the image information containing the specific information and the position information to the server.
Further, the vehicle judges that if the image information contains the specific information, the time information of the image information at the acquisition time is acquired, and the time information is reported to a server.
The server receives the image information, the position information of the position of the vehicle when the image information is at the acquisition time, and the time information of the image information at the acquisition time.
Further, the server may issue a task request to the vehicle;
the vehicle may receive a task request sent by a server.
As shown in fig. 5, an embodiment of the present invention further provides a terminal, which includes a memory 52, a processor 51, and computer instructions stored on the memory 52 and executable on the processor 51; the processor 51, when executing the instructions, implements the steps of an image information processing method applied in the vehicle or server.
In some embodiments, memory 52 in embodiments of the present invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (ddr Data Rate SDRAM, ddr SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 52 of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
And the processor 51 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 51. The Processor 51 may be a general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 52, and the processor 51 reads the information in the memory 52 and completes the steps of the method in combination with the hardware thereof.
In some embodiments, the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Yet another embodiment of the present invention provides a computer storage medium, which stores an executable program, and when the executable program is executed by the processor 51, the steps of the information processing method applied to the cloud server or the terminal can be realized. For example, as one or more of the methods shown in fig. 1 or fig. 2 or fig. 3.
In some embodiments, the computer storage medium may include: a U-disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that: the technical schemes described in the embodiments of the present invention can be combined arbitrarily without conflict.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (11)
1. An image information processing method, applied to a vehicle, comprising:
collecting image information;
receiving a task request issued by a server to the vehicles in the specified second area range; the second area range refers to the area range where a set suspected specific event occurs or a specific person appears;
identifying whether specific information is contained in the image information; the specific information includes at least information usable to indicate the specific event or the specific character;
if the image information contains the specific information, acquiring the position information of the position of the vehicle when the image information is acquired;
reporting the image information containing the specific information and the position information to the server;
the method further comprises the following steps:
detecting whether the vehicle is within a specified first area range; the first area range refers to a monitoring area range which is planned in advance and is performing monitoring;
and if so, not identifying whether the image information contains the specific information, and/or not reporting the image information containing the specific information and the position information to the server.
2. The method of claim 1, further comprising:
if the image information contains the specific information, acquiring time information of the image information at the acquisition moment;
and reporting the time information to the server.
3. The method of claim 1,
the identifying whether the image information contains specific information includes:
and identifying whether the image information contains the specific information or not based on the specific information carried by the task request.
4. The method according to claim 3, wherein when the specific information is information of a specific person, the information of the specific person includes first face image information of at least one specific person;
the identifying whether the image information contains the specific information based on the specific information carried by the task request includes:
detecting whether second face image information exists in the image information or not;
if second face image information exists, extracting the second face image information from the image information;
comparing the first face image information with the second face image information;
determining the similarity value of the first face image information and the second face image information according to the comparison result;
if the similarity value is larger than or equal to a threshold value, determining that the image information contains the specific information; and/or determining that the image information does not contain the specific information if the similarity value is smaller than a threshold value.
5. The method according to claim 1, wherein when the specific information is event-specific information, the event-specific information includes feature information indicating a scene;
the identifying whether the image information contains specific information includes:
according to the analysis processing of the image information, determining whether the image information contains the characteristic information of the scene, if so, determining that the image information contains the specific information; and/or if not, determining that the specific information is not contained in the image information.
6. An image information processing method, applied to a server, includes:
issuing a task request to vehicles within the designated second area range; the second area range refers to the area range where a set suspected specific event occurs or a specific person appears;
receiving position information of the position of a vehicle at the acquisition moment of the image information and image information containing the specific information, which are acquired when the vehicle outside the first area range identifies that the acquired image information contains the specific information; the specific information includes at least information usable to indicate the specific event or the specific character;
when the vehicle is in the first area range, not identifying whether the image information contains the specific information, and/or not reporting the image information containing the specific information and the position information to the server;
wherein the first area range refers to a monitoring area range which is planned in advance and is performing monitoring.
7. The method of claim 6, further comprising:
and receiving the time information of the returned image information at the acquisition moment of the vehicle based on the specific information contained in the image information.
8. The method of claim 6, further comprising: and issuing a task request to the vehicle, wherein the task request carries the specific information.
9. A vehicle, comprising: a processor and a memory for storing a computer program capable of running on the processor, wherein the processor is configured to implement the image information processing method of any one of claims 1 to 5 when running the computer program.
10. A server, comprising: a processor and a memory for storing a computer program capable of running on the processor, wherein the processor is configured to implement the image information processing method of any one of claims 6 to 8 when running the computer program.
11. A computer storage medium characterized by storing an executable program that, when executed by a processor, implements the image information processing method of any one of claims 1 to 5; or, the image information processing method according to any one of claims 6 to 8 is implemented.
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