CN110796704A - Auxiliary recording method and device based on monitoring camera and storage medium - Google Patents
Auxiliary recording method and device based on monitoring camera and storage medium Download PDFInfo
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- 230000002776 aggregation Effects 0.000 claims description 19
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- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000012790 confirmation Methods 0.000 claims description 12
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Abstract
The embodiment of the application discloses an auxiliary recording method, equipment and a computer readable storage medium based on a monitoring camera, wherein the method comprises the following steps: acquiring image data and position information of an article in a timing scanning or triggering scanning mode of a monitoring camera; identifying the article according to preset image characteristic data and the image data; in the event that the item is identified, the name and location information of the item is recorded in an item candidate database. The method comprises the steps of acquiring image data and position information of an article through a timing scanning or triggering scanning mode of a monitoring camera, identifying the article according to preset image characteristic data, and recording and storing the article; the user can be guided to quickly locate the object conveniently, and the user experience is improved.
Description
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to an auxiliary recording method and device based on a monitoring camera and a computer readable storage medium.
Background
With the improvement of material life, various articles are more and more abundant, but the trouble of some people is also caused, and because of the limitations of memory (forgetting rule) and eyesight (shielding and light), the brain and tendons of people are often injured in order to find one article, and a great amount of valuable time of people is wasted.
Due to the popularization of smart homes, more and more families begin to use monitoring cameras. Generally, a monitoring camera has infrared night vision and mobile monitoring functions.
In the process of implementing the invention, the inventor does not find the prior art which can identify the commonly used articles through the monitoring camera, record and store the commonly used articles and guide the user to quickly locate the articles.
Disclosure of Invention
In view of the above, an object of the embodiments of the present application is to provide an auxiliary recording method and apparatus based on a monitoring camera, and a computer-readable storage medium, so as to solve the problem how to identify a commonly used article through the monitoring camera and record and store the commonly used article, so as to guide a user to quickly locate the position of the article.
The technical scheme adopted by the embodiment of the application for solving the technical problems is as follows:
according to an aspect of the embodiments of the present application, there is provided a monitoring camera-based auxiliary recording method, including:
acquiring image data and position information of an article in a timing scanning or triggering scanning mode of a monitoring camera;
identifying the article according to preset image characteristic data and the image data;
in the event that the item is identified, the name and location information of the item is recorded in an item candidate database.
According to another aspect of the embodiments of the present application, there is provided a monitoring camera-based auxiliary recording apparatus, the apparatus includes a memory, a processor, and a monitoring camera-based auxiliary recording program stored in the memory and executable on the processor, where the monitoring camera-based auxiliary recording program implements the steps of the monitoring camera-based auxiliary recording method when executed by the processor.
According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, on which a monitoring camera-based auxiliary recording program is stored, and the monitoring camera-based auxiliary recording program, when executed by a processor, implements the steps of the monitoring camera-based auxiliary recording method described above.
According to the auxiliary recording method and device based on the monitoring camera and the computer readable storage medium, the image data and the position information of an article are acquired through the timing scanning or the triggering scanning mode of the monitoring camera, and the article is identified and recorded and stored according to the preset image characteristic data; the user can be guided to quickly locate the object conveniently, and the user experience is improved.
Drawings
Fig. 1 is a schematic flowchart of an auxiliary recording method based on a monitoring camera according to a first embodiment of the present application;
FIG. 2 is a schematic structural diagram of an auxiliary recording system according to an embodiment of the present application;
FIG. 3 is a diagram illustrating a recognition learning process according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating an implementation process of article position recording and early warning according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an auxiliary recording device based on a monitoring camera according to a second embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present application clearer and clearer, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
First embodiment
As shown in fig. 1, a first embodiment of the present application provides an auxiliary recording method based on a monitoring camera, where the method includes:
step S11: and acquiring the image data and the position information of the article by a timing scanning or triggering scanning mode of the monitoring camera.
In this embodiment, the monitoring camera may be a camera with infrared night vision and mobile monitoring functions used in a home, or may be another camera with scanning monitoring functions, and is not limited herein. The monitoring camera can set a timing scanning period or specify the specific scanning time and scan according to the specified time; scanning may also be triggered by article movement.
In this embodiment, the position information is information that can be uniquely located to the position of the article, including but not limited to the position, distance, and surrounding scene data of the article.
By way of example, assuming a home uses a camera with infrared night vision and mobile surveillance capabilities, the location information of the item may include coordinates and/or orientation with the camera as the origin. It should be noted that the number of the monitoring cameras is not limited herein, and may be one or more. In an application scenario with multiple surveillance cameras, it is necessary to convert the coordinate and/or orientation data with the camera as the origin into coordinate and/or orientation data of a common origin.
Step S12: and identifying the article according to preset image characteristic data and the image data.
In this embodiment, the object in the scanned image data is identified according to the preset image feature data, and the identification method is not limited herein, and the prior art may also be referred to.
As an example, after image data and position information of an article are acquired by a timing scanning mode of a monitoring camera, information about a graph is retrieved from a graph database, and a candidate image with high matching degree is selected; performing an image recognition algorithm on the scanned image and the candidate image to obtain an image recognition algorithm output; if the image recognition algorithm output is within a preselected range, then the candidate image is accepted as the scanned image. And thus object information in the scanned image can be determined.
In one embodiment, the identifying the item according to the preset image characteristic data and the image data further comprises:
and acquiring the preset image characteristic data from a local or server.
In the embodiment, the server is preset with image characteristic data of common articles to form an open source shared library which can be downloaded and used by different users.
It should be noted that, in other embodiments, the preset image characteristic data may be preset image characteristic data stored locally.
Step S13: in the event that the item is identified, the name and location information of the item is recorded in an item candidate database.
In this embodiment, the item candidate database is used to store the name and location information of an item that the user has not confirmed temporarily. Since the user does not confirm, the name and position information of the object in the object candidate database may have differences, but the data thereof can be referred by the user and used for subsequent learning and correction.
In one embodiment, the recording the name and the location information of the item in an item candidate database further comprises:
receiving a confirmation instruction of the name and the position information of the article, which is input by a user;
and recording the name and the position information of the article in an article database under the condition that the confirmation instruction indicates that the name and the position information of the article meet requirements.
In this embodiment, the item database is used to store name and location information for items that the user has confirmed. The user can confirm the name and the position information of the articles in the candidate database individually or in batches.
Further, the receiving a confirmation instruction of the name and the location information of the item, which is input by a user, then further includes:
receiving image characteristic data input by a user under the condition that the confirmation instruction is that the name and the position information of the article do not meet the requirements;
and updating the preset image characteristic data according to the image characteristic data input by the user.
In this embodiment, if the user confirms that the name and location information of the item in the candidate database are not acceptable individually or in batches, for example: if the article information in the candidate database is different from the actual article information in storage, the image characteristic data of the article can be supplemented so as to facilitate the next identification to be more accurate. With continuous learning and correction, the success rate of article identification will be higher and higher.
In an embodiment, the updating the preset image feature data according to the image feature data input by the user further includes:
and uploading the updated preset image characteristic data to a server.
In this embodiment, if the preset image feature data is downloaded from the server, the updated preset image feature data is uploaded to the server, so that the server updates the preset image feature data.
In one embodiment, the recording the name and the location information of the item in an item database further comprises:
acquiring an article query keyword input by a user;
querying in the item database according to the item query keyword;
and under the condition that the query in the item database is successful, feeding back the queried name and position information of the item to the user.
In this embodiment, the querying in the item database according to the item query keyword further includes:
and under the condition that the query in the item database is unsuccessful, querying in the item candidate database according to the item query keyword.
In this embodiment, since the item database stores the name and location information of the item that the user has confirmed, the item candidate database stores the name and location information of the item that the user has not confirmed temporarily. Therefore, when the query is performed according to the item query keyword, the item database is preferentially queried. If the item database has no relevant records, then the item candidate database is queried. And if the related articles and the position information are inquired, outputting the information to the user.
In another embodiment, the recording the name and the location information of the item in an item candidate database further comprises:
determining an aggregation rule of the position of the article;
determining whether the article is in an abnormal condition or not according to the position information of the article and the aggregation rule of the position of the article;
and under the condition that the article is in an abnormal condition, generating early warning information and feeding the early warning information back to a user.
In this embodiment, the aggregation calculation may be performed on the position information of the article to determine the aggregation rule of the position of the article. The aggregation rule of the position of the article can reflect the aggregation degree of the position of the article, and if the position of the article is positioned in the aggregation center of the position, the article is in a normal state; otherwise, the item is in an abnormal condition.
Whether an item is in an abnormal condition includes, but is not limited to: the location of the item is outside of the location aggregation center, the item is not placed in a regular location, the item is stolen or disposed of abnormally, and so forth. And once the articles are determined to be in the abnormal condition, early warning is given to the user, the position where the articles should be placed is prompted to the user, and the user is guided to form a regular habit of classifying and placing the articles.
Taking the application of the remote controller in a home as an example, assuming that after the location information of the remote controller is counted, the aggregation rule of the remote controller is determined as follows: within one meter of the television set as the aggregation center. The position information of the remote controller obtained at a certain moment is more than two meters of the television, so that the remote controller can be determined according to the aggregation rule of the remote controllers, the placement position of the remote controller at the moment is an abnormal condition, the user is warned in time according to the abnormal information, the user is prompted to place the remote controller within a one-meter range of the television, and the user is promoted to form a regular habit of classifying and placing the remote controllers.
To better illustrate the surveillance camera based auxiliary recording process, the following is described in conjunction with fig. 2:
as shown in fig. 2, the auxiliary recording system includes a camera control module, an image feature database, an image and location identification module, an item candidate database, an item database, and a learning and correction module.
The camera control module integrally manages the monitoring of one or more cameras and controls the cameras to scan regularly; or when the object moves, the scanning of the moving object is triggered.
The image and position identification module identifies the article according to the image characteristic data in the image characteristic database and the image scanned by the camera control module. The information on the identified article may be stored in the article candidate database because the information may be different without being confirmed by the user.
The item database is used for storing the name and the position information of the item which is confirmed by the user. And is also a database to be preferentially searched.
The learning and correcting module provides a user interface, receives input confirmation results of names and position information of the articles and image characteristic data supplemented by users, and facilitates improvement of success rate of article identification. The image characteristic database is updated according to the image characteristic data supplemented by the user.
The following describes an improved process of learning and performing recognition with reference to fig. 3:
step 205-;
and step 208, after the user confirms and supplements, the image feature library of the article is perfected, the perfected article features can be updated to the server, and the success rate of article identification is higher and higher along with continuous learning and correction.
The following describes the implementation process of the article position recording and early warning with reference to fig. 4:
step 301-step 302, the camera control module sets a timing scanning period, or specifies specific scanning time, and performs scanning according to the specified time; the camera control module can also trigger scanning through article movement;
step 303, recording the scanned object and the position information thereof;
step 304, updating an article position record database;
step 305, counting the aggregation rule of the positions of the articles;
and step 306, giving an early warning to the object which does not conform to the rule, wherein the object may not be placed according to a conventional position, and the object may have an abnormal condition. The user can set the abnormal early warning treatment to the appointed article.
The following description is made in conjunction with an application scenario of a remote controller:
by taking a commonly-used remote controller as an example, the development of smart homes is good at present, a lot of homes can be controlled by a remote controller, but sometimes the remote controller is placed irregularly, or different users are placed and have different habits, so that the remote controller is often found in a certain time. The auxiliary recording system can quickly find the remote controller and urge the user to develop the habit of placing the remote controller at a fixed point.
Firstly, presetting one or more bitmap characteristics of the remote controller, or downloading a related remote controller bitmap characteristic library through a server. Setting timing scanning in a monitoring system, and controlling all cameras to carry out global 360-degree scanning adaptation after the set time is up; or a certain camera monitors that an article moves through infrared rays, and the article in the moving direction is triggered and scanned. If the remote controller is scanned, position recording is performed.
The user inputs keyword query remote controller in the auxiliary record system, the auxiliary record system queries the article database preferentially, if the related record is queried, the related record is directly output. If not, the item candidate database is queried and the relevant records are output. The user confirms whether the output position and the article meet the requirements. And if the requirement is met, ending the process. If the demand is not met, the relevant information of the inquired item may need to be supplemented.
And the auxiliary recording system performs aggregation operation on the position recording data of the remote controller in idle time, and records the position recording data if an aggregation rule is found. And then, once the displacement of the remote controller is detected to change by scanning or moving and the change does not accord with the direction aggregation rule, alarming is carried out. The user places the remote control in its usual orientation.
According to the auxiliary recording method based on the monitoring camera, the image data and the position information of an article are acquired through the timing scanning or the triggering scanning mode of the monitoring camera, and the article is identified and recorded and stored according to the preset image characteristic data; the user can be guided to quickly locate the object conveniently, and the user experience is improved.
Second embodiment
As shown in fig. 5, a second embodiment of the present application provides an auxiliary recording device based on a monitoring camera, the device including: a memory 41, a processor 42 and a monitoring camera based auxiliary recording program stored on the memory 41 and operable on the processor 42, wherein the monitoring camera based auxiliary recording program is used for implementing the following steps of the monitoring camera based auxiliary recording method when being executed by the processor 42:
acquiring image data and position information of an article in a timing scanning or triggering scanning mode of a monitoring camera;
identifying the article according to preset image characteristic data and the image data;
in the event that the item is identified, the name and location information of the item is recorded in an item candidate database.
When the monitoring camera based auxiliary recording program is executed by the processor 42, the following steps of the monitoring camera based auxiliary recording method are also implemented:
receiving a confirmation instruction of the name and the position information of the article, which is input by a user;
and recording the name and the position information of the article in an article database under the condition that the confirmation instruction indicates that the name and the position information of the article meet requirements.
When the monitoring camera based auxiliary recording program is executed by the processor 42, the following steps of the monitoring camera based auxiliary recording method are also implemented:
receiving image characteristic data input by a user under the condition that the confirmation instruction is that the name and the position information of the article do not meet the requirements;
and updating the preset image characteristic data according to the image characteristic data input by the user.
When the monitoring camera based auxiliary recording program is executed by the processor 42, the following steps of the monitoring camera based auxiliary recording method are also implemented:
and uploading the updated preset image characteristic data to a server.
When the monitoring camera based auxiliary recording program is executed by the processor 42, the following steps of the monitoring camera based auxiliary recording method are also implemented:
acquiring an article query keyword input by a user;
querying in the item database according to the item query keyword;
and under the condition that the query in the item database is successful, feeding back the queried name and position information of the item to the user.
When the monitoring camera based auxiliary recording program is executed by the processor 42, the following steps of the monitoring camera based auxiliary recording method are also implemented:
and under the condition that the query in the item database is unsuccessful, querying in the item candidate database according to the item query keyword.
When the monitoring camera based auxiliary recording program is executed by the processor 42, the following steps of the monitoring camera based auxiliary recording method are also implemented:
determining an aggregation rule of the position of the article;
determining whether the article is in an abnormal condition or not according to the position information of the article and the aggregation rule of the position of the article;
and under the condition that the article is in an abnormal condition, generating early warning information and feeding the early warning information back to a user.
When the monitoring camera based auxiliary recording program is executed by the processor 42, the following steps of the monitoring camera based auxiliary recording method are also implemented:
and acquiring the preset image characteristic data from a local or server.
The auxiliary recording equipment based on the monitoring camera obtains the image data and the position information of the article through the timing scanning or the triggering scanning mode of the monitoring camera, identifies the article according to the preset image characteristic data, and records and stores the article; the user can be guided to quickly locate the object conveniently, and the user experience is improved.
Third embodiment
A third embodiment of the present application provides a computer-readable storage medium, where a monitoring camera-based auxiliary recording program is stored on the computer-readable storage medium, and the monitoring camera-based auxiliary recording program is used when being executed by a processor to implement the steps of the monitoring camera-based auxiliary recording method according to the first embodiment.
It should be noted that the computer-readable storage medium of this embodiment belongs to the same concept as the method of the first embodiment, and specific implementation processes thereof are detailed in the method embodiment, and technical features in the method embodiment are all correspondingly applicable in this embodiment, which is not described herein again.
The computer-readable storage medium of the embodiment of the application acquires the image data and the position information of the article by a timing scanning or triggering scanning mode of the monitoring camera, identifies the article according to the preset image characteristic data, and records and stores the article; the user can be guided to quickly locate the object conveniently, and the user experience is improved.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
The preferred embodiments of the present application have been described above with reference to the accompanying drawings, and are not intended to limit the scope of the claims of the application accordingly. Any modifications, equivalents and improvements which may occur to those skilled in the art without departing from the scope and spirit of the present application are intended to be within the scope of the claims of the present application.
Claims (10)
1. A monitoring camera based auxiliary recording method, the method comprising:
acquiring image data and position information of an article in a timing scanning or triggering scanning mode of a monitoring camera;
identifying the article according to preset image characteristic data and the image data;
in the event that the item is identified, the name and location information of the item is recorded in an item candidate database.
2. The method of claim 1, wherein the recording the name and location information of the item in an item candidate database further comprises:
receiving a confirmation instruction of the name and the position information of the article, which is input by a user;
and recording the name and the position information of the article in an article database under the condition that the confirmation instruction indicates that the name and the position information of the article meet requirements.
3. The method of claim 2, wherein receiving a user-entered confirmation instruction of the name and location information of the item is followed by:
receiving image characteristic data input by a user under the condition that the confirmation instruction is that the name and the position information of the article do not meet the requirements;
and updating the preset image characteristic data according to the image characteristic data input by the user.
4. The method of claim 3, wherein updating the preset image characteristic data based on the user-entered image characteristic data further comprises:
and uploading the updated preset image characteristic data to a server.
5. The method of claim 2, wherein said recording the name and location information of the item in an item database further comprises:
acquiring an article query keyword input by a user;
querying in the item database according to the item query keyword;
and under the condition that the query in the item database is successful, feeding back the queried name and position information of the item to the user.
6. The method of claim 5, wherein said querying in said item database according to said item query key further comprises:
and under the condition that the query in the item database is unsuccessful, querying in the item candidate database according to the item query keyword.
7. The method of claim 1, wherein the recording the name and location information of the item in an item candidate database further comprises:
determining an aggregation rule of the position of the article;
determining whether the article is in an abnormal condition or not according to the position information of the article and the aggregation rule of the position of the article;
and under the condition that the article is in an abnormal condition, generating early warning information and feeding the early warning information back to a user.
8. The method of claim 1, wherein said identifying said item based on preset image characteristic data and said image data further comprises:
and acquiring the preset image characteristic data from a local or server.
9. A surveillance camera based auxiliary recording device, characterized in that the device comprises a memory, a processor and a surveillance camera based auxiliary recording program stored on the memory and executable on the processor, the surveillance camera based auxiliary recording program when executed by the processor implementing the steps of the surveillance camera based auxiliary recording method according to any of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a surveillance camera-based auxiliary recording program, which when executed by a processor implements the steps of the surveillance camera-based auxiliary recording method according to any one of claims 1 to 8.
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