CN114973398B - Hierarchical alarm method for view library camera - Google Patents
Hierarchical alarm method for view library camera Download PDFInfo
- Publication number
- CN114973398B CN114973398B CN202210311706.4A CN202210311706A CN114973398B CN 114973398 B CN114973398 B CN 114973398B CN 202210311706 A CN202210311706 A CN 202210311706A CN 114973398 B CN114973398 B CN 114973398B
- Authority
- CN
- China
- Prior art keywords
- action
- monitoring
- same person
- image
- level
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
Abstract
The invention provides a hierarchical alarm method for a view library camera, which indicates different cameras to collect scanning monitoring images of areas where the cameras are located and intercepts image pictures belonging to the same person in all the scanning monitoring images; analyzing the action information of the same person to determine the monitoring level state and the action level state of the current action of the same person, and then determining the alarm level of the current action of the same person; according to the alarm level of the current action, the priority order of uploading the intercepted image pictures to the monitoring center platform is adjusted, and the monitoring center platform is instructed to send a work control instruction to the corresponding alarm terminal, so that different actions of personnel can be distinguished and processed in the monitoring level, different actions sent by the personnel can be identified and determined, timely and accurate analysis of action information of the personnel is achieved, and the reliability and safety of camera monitoring are improved.
Description
Technical Field
The invention relates to the technical field of camera monitoring, in particular to a hierarchical alarm method for a view library camera.
Background
At present, cameras have been widely used for security monitoring in public places. A plurality of cameras are arranged in a public place and used for collecting monitoring videos of the public place in different view field directions. When the sensitivity of the camera is higher, the camera can acquire images corresponding to the small motions of the target object. In the prior art, cameras with the same sensitivity are used for collecting monitoring videos, and the modes cannot collect videos with differentiated sensitivity areas in public places, so that the action information of a target object cannot be accurately obtained, the action information of the target object can be timely and accurately identified and analyzed, and the reliability and the safety of video monitoring are reduced.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a hierarchical alarm method for a view library camera, which indicates different cameras to collect scanning monitoring images of areas where the cameras are located and intercepts image pictures belonging to the same person in all the scanning monitoring images; analyzing the action information of the same person to determine the monitoring level state and the action level state of the current action of the same person, and then determining the alarm level of the current action of the same person; according to the alarm level of the current action, the priority order of uploading the intercepted image to the monitoring center platform is adjusted, and the monitoring center platform is instructed to send a work control instruction to the corresponding alarm terminal, so that different actions of personnel can be distinguished and processed in the monitoring level, different actions sent by the personnel can be identified and determined, timely and accurate analysis of action information of the personnel is realized, and the reliability and safety of camera monitoring are improved.
The invention provides a grading alarm method for a view library camera, which comprises the following steps:
step S1, instructing different cameras to scan and shoot areas where the cameras are located to obtain scanned monitoring images; identifying the scanned monitoring image, and determining the personnel existence information of the scanned monitoring image;
s2, respectively intercepting image pictures belonging to the same person for all scanning monitoring images according to the personnel existence information; analyzing and processing all image pictures to obtain action information of the same person in different scanning monitoring images so as to determine a monitoring level state corresponding to the current action of the same person;
s3, analyzing and processing the action information of the same person to obtain the action level state of the current action of the same person; determining the alarm level of the current action of the same person according to the monitoring level state and the action level state;
s4, adjusting the priority order of uploading the captured image to a monitoring center platform according to the alarm level; and then according to the uploaded image picture, instructing the monitoring center platform to send a work control instruction to the corresponding alarm terminal.
Further, in step S1, instructing different cameras to scan and shoot the areas where the cameras are located, and obtaining the scanned monitoring image specifically includes:
indicating different cameras arranged in the same area to respectively perform synchronous scanning shooting in different directions to obtain different scanning monitoring images; wherein the scanning and shooting frequencies of all the cameras for scanning and shooting are the same.
Further, in the step S2, identifying the scanned monitoring image, and determining the presence information of the person who scans the monitoring image specifically includes:
after pixel gray scale conversion processing and edge pixel sharpening processing are carried out on each scanning monitoring image, facial five-sense organ information and body contour information of all persons existing in the scanning monitoring image are identified and obtained from the scanning monitoring image and are used as the person existence information.
Further, in step S2, respectively capturing image frames belonging to the same person for all scanned monitoring images according to the person presence information specifically includes:
comparing the facial feature information and the body contour information of all the persons in all the scanning monitoring images, and determining the persons with the same facial feature information and body contour information as the same person;
then, capturing image frames belonging to the same person from all the scanned monitoring images; the captured image at least comprises the head or a part of the four-limb area of the same person.
Further, in step S2, analyzing all image frames to obtain motion information of the same person in different scanned monitoring images, so as to determine a monitoring level state corresponding to the current motion of the same person specifically includes:
performing identification analysis processing on all image pictures to obtain head movements and four-limb movements of the same person in different scanning monitoring images, determining a monitoring level value corresponding to the current movement of the same person according to the identified head movements and four-limb movements by using the following formula (1),
in the formula (1), a (i) represents a monitoring level value corresponding to the current ith action of the same person, wherein the current ith action comprises head action or limb action; i represents the ith action arranged in the head action and the four-limb action of the same person in different scanning monitoring images; d (i) represents an image picture corresponding to the current ith action of the same person; d a (j) The camera representing the monitoring grade value a acquires an image picture corresponding to the jth action; j represents the j-th action arranged in the head action and the four-limb action acquired by the camera with the monitoring grade value a; m is a Representing the total motion quantity of the head motion and the four limbs motion acquired by the camera with the monitoring grade value a; f-represents an image detection function, if the motion contained in the two image pictures in the bracket is the same motion, the function value of the image detection function is 1, otherwise, the function value of the image detection function is 0; g denotes the highest monitoring level value of the camera.
Further, in the step S3, analyzing and processing the motion information of the same person, and obtaining the motion level state of the current motion of the same person specifically includes:
according to the action amplitude of the same person, dividing the current action of the same person into a first amplitude state action, a second amplitude state action, a third amplitude state action, a fourth amplitude state action and a fifth amplitude state action; wherein the action amplitudes of the first amplitude state action, the second amplitude state action, the third amplitude state action, the fourth amplitude state action and the fifth amplitude state action are reduced in sequence.
Further, in step S3, determining the alarm level of the current action of the same person according to the monitoring level state and the action level state specifically includes:
determining an alarm level value of the current action of the same person according to the monitoring level state and the action level state by using the following formula (2),
in the formula (2), E (i) represents an alarm level value corresponding to the current ith action of the same person; and R (i) represents the action grade value of the current ith action of the same person, which belongs to the action of the first amplitude state, the action of the second amplitude state, the action of the third amplitude state, the action of the fourth amplitude state or the action of the fifth amplitude state, and if the current ith action belongs to the action of the first amplitude state, the action of the second amplitude state, the action of the third amplitude state, the action of the fourth amplitude state or the action of the fifth amplitude state, the corresponding action grade value is 0, 1, 2, 3 and 4.
Further, in the step S4, according to the alarm level, adjusting a priority order in which the captured image is uploaded to a monitoring center platform; then according to the uploaded image picture, instructing the monitoring center platform to send a work control instruction to the corresponding alarm terminal specifically comprises the following steps:
collecting all captured image frames of actions with alarm level values not equal to 0, determining the priority order of uploading the captured image frames to a monitoring center platform by using the following formula (3),
in the formula (3), Q (i) represents a priority upload control value of the image frame of the ith action with the intercepted alarm level value not equal to 0; n represents the total number of actions for which all alarm level values are not equal to 0;
if Q (i) is not less than 0, indicating that all captured image pictures of actions with alarm level values not equal to 0 need to be preferentially uploaded to a monitoring center platform;
if it is
The image picture of the ith action with the alarm level value not equal to 0 obtained by intercepting is required to be uploaded to the monitoring center platform after all other image pictures are uploaded to the monitoring center platform;
if it is
The intercepted image of the ith action with the alarm level value not equal to 0 does not need to be uploaded to a monitoring center platform;
and identifying the area position corresponding to the uploaded image picture, and indicating the monitoring center platform to send a work control instruction to the alarm terminal to which the area position belongs.
Compared with the prior art, the view library camera grading alarm method indicates different cameras to collect scanning monitoring images of areas where the cameras are located, and image pictures of the same person in all the scanning monitoring images are intercepted; analyzing the action information of the same person to determine the monitoring level state and the action level state of the current action of the same person, and then determining the alarm level of the current action of the same person; according to the alarm level of the current action, the priority order of uploading the intercepted image to the monitoring center platform is adjusted, and the monitoring center platform is instructed to send a work control instruction to the corresponding alarm terminal, so that different actions of personnel can be distinguished and processed in the monitoring level, different actions sent by the personnel can be identified and determined, timely and accurate analysis of action information of the personnel is realized, and the reliability and safety of camera monitoring are improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a hierarchical alarm method for a view library camera provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Fig. 1 is a schematic flow chart of a hierarchical alarm method for a view library camera according to an embodiment of the present invention. The hierarchical alarm method for the view library camera comprises the following steps:
step S1, instructing different cameras to scan and shoot areas where the cameras are located to obtain scanned monitoring images; identifying the scanned monitoring image, and determining the personnel existence information of the scanned monitoring image;
s2, respectively intercepting image pictures belonging to the same person for all the scanned monitoring images according to the existence information of the person; analyzing and processing all image pictures to obtain action information of the same person in different scanning monitoring images so as to determine a monitoring level state corresponding to the current action of the same person;
s3, analyzing and processing the action information of the same person to obtain the action level state of the current action of the same person; determining the alarm level of the current action of the same person according to the monitoring level state and the action level state;
s4, adjusting the priority order of uploading the captured image to a monitoring center platform according to the alarm level; and then according to the uploaded image picture, instructing the monitoring center platform to send a work control instruction to the corresponding alarm terminal.
The beneficial effects of the above technical scheme are: the method for the hierarchical alarm of the view library camera indicates different cameras to collect scanning monitoring images of areas where the cameras are located, and image pictures belonging to the same person in all the scanning monitoring images are intercepted; analyzing the action information of the same person to determine the monitoring level state and the action level state of the current action of the same person, and then determining the alarm level of the current action of the same person; according to the alarm level of the current action, the priority order of uploading the intercepted image pictures to the monitoring center platform is adjusted, and the monitoring center platform is instructed to send a work control instruction to the corresponding alarm terminal, so that different actions of personnel can be distinguished and processed in the monitoring level, different actions sent by the personnel can be identified and determined, timely and accurate analysis of action information of the personnel is achieved, and the reliability and safety of camera monitoring are improved.
Preferably, in step S1, instructing different cameras to scan and shoot the areas where the cameras are located, and obtaining the scanned monitoring image specifically includes:
indicating different cameras arranged in the same area to respectively perform synchronous scanning shooting in different directions to obtain different scanning monitoring images; wherein the scanning and shooting frequencies of all the cameras for scanning and shooting are the same.
The beneficial effects of the above technical scheme are: different cameras are respectively arranged at different positions of the same area, so that each camera can synchronously scan and shoot the area from a specific direction, and the overall coverage shooting of the same area is realized. The scanning and shooting frequencies of all the cameras for scanning and shooting are the same, so that the scanning and monitoring images shot by each camera are consistent in image depth.
Preferably, in step S2, the identifying the scanned monitoring image and the determining the presence information of the person of the scanned monitoring image specifically include:
after pixel gray scale conversion processing and edge pixel sharpening processing are carried out on each scanning monitoring image, facial five-sense organ information and body contour information of all persons existing in the scanning monitoring image are identified and obtained from the scanning monitoring image and are used as the person existence information.
The beneficial effects of the above technical scheme are: after pixel graying conversion processing and edge pixel sharpening processing are carried out on each scanning monitoring image, accurate face five sense organ information and body contour information extraction can be guaranteed to be carried out on the scanning monitoring images, and all personnel in the scanning monitoring images can be conveniently identified and calibrated.
Preferably, in step S2, the capturing the image frames belonging to the same person from all the scanned monitoring images according to the person presence information specifically includes:
comparing the facial feature information and the body contour information of all the persons in all the scanning monitoring images, and determining the persons with the same facial feature information and body contour information as the same person;
then, image pictures belonging to the same person are intercepted from all the scanned monitoring images; the captured image at least comprises the head or a part of the four-limb area of the same person.
The beneficial effects of the above technical scheme are: the facial features and body contours of different people are unique, and the facial features information and body contour information of all people in all scanning monitoring images are compared, so that the identities of all people can be identified and determined. Then, the image frames belonging to the same person are captured from all the scanned monitoring images, so that the head movements or the four-limb movements of the same person can be specially marked.
Preferably, in step S2, analyzing all the image frames to obtain motion information of the same person in different scanned monitoring images, so as to determine the monitoring level state corresponding to the current motion of the same person specifically includes:
performing identification analysis processing on all image pictures to obtain head movements and four-limb movements of the same person in different scanning monitoring images, determining a monitoring level value corresponding to the current movement of the same person according to the identified head movements and four-limb movements by using the following formula (1),
in the formula (1), a (i) represents a monitoring level value corresponding to the current ith action of the same person, wherein the current ith action comprises head action or limb action; i represents the ith action arranged in the head action and the four-limb action of the same person in different scanning monitoring images; d (i) represents the image picture corresponding to the current ith action of the same person; d a (j) The monitoring grade value is a, and an image picture corresponding to the jth action acquired by the camera with the monitoring grade value a is shown; j represents the j-th action arranged in the head action and the four-limb action acquired by the camera with the monitoring grade value a; m is a Representing the total motion quantity of the head motion and the four limbs motion acquired by the camera with the monitoring grade value a; f-represents an image detection function, if the motion contained in the two image pictures in the bracket is the same motion, the function value of the image detection function is 1, otherwise, the function value of the image detection function is 0; g denotes the highest monitoring level value of the camera.
The beneficial effects of the above technical scheme are: and (2) identifying and comparing the head action and the four-limb action of the same person in all image pictures by using the formula (1) to obtain the camera with the highest monitoring level for shooting the head action and the four-limb action, and further classifying the same action of the same person shot by the multiple cameras into the camera with the relatively highest monitoring level, so that subsequent calculation and judgment are facilitated.
Preferably, in step S3, analyzing the motion information of the same person, and obtaining the motion level state of the current motion of the same person specifically includes:
according to the action amplitude of the same person, dividing the current action of the same person into a first amplitude state action, a second amplitude state action, a third amplitude state action, a fourth amplitude state action and a fifth amplitude state action; wherein the action amplitudes of the first amplitude state action, the second amplitude state action, the third amplitude state action, the fourth amplitude state action and the fifth amplitude state action are reduced in sequence.
The beneficial effects of the above technical scheme are: according to the magnitude of the action amplitude, the action information of the same person is distinguished, so that the actions of the same person under different conditions can be quantitatively distinguished, and the subsequent distinguishing and calibration of the alarm level of the current action of the same person are facilitated.
Preferably, in step S3, determining the alarm level of the current action of the same person according to the monitoring level status and the action level status specifically includes:
determining the alarm level value of the current action of the same person according to the monitoring level state and the action level state by using the following formula (2),
in the formula (2), E (i) represents an alarm level value corresponding to the current ith action of the same person; and R (i) represents the action grade value of the current ith action of the same person, which belongs to the action of the first amplitude state, the action of the second amplitude state, the action of the third amplitude state, the action of the fourth amplitude state or the action of the fifth amplitude state, and if the current ith action belongs to the action of the first amplitude state, the action of the second amplitude state, the action of the third amplitude state, the action of the fourth amplitude state or the action of the fifth amplitude state, the corresponding action grade value is 0, 1, 2, 3 and 4.
The beneficial effects of the above technical scheme are: and (3) obtaining an alarm grade value of the action by using the formula (2) according to the highest monitoring grade of the shot action and the action grade analyzed and identified by the action, and further performing integrated judgment on the monitoring grade and the action grade of the personnel to obtain a corresponding alarm grade value, thereby achieving the purpose of subsequently adjusting the sensitivity of triggering the alarm by the alarm target.
Preferably, in the step S4, the priority order of uploading the captured image to the monitoring center platform is adjusted according to the alarm level; then according to the uploaded image picture, instructing the monitoring center platform to send a work control instruction to the corresponding alarm terminal specifically comprises:
collecting all the captured image pictures of actions with alarm level values not equal to 0, determining the priority of uploading the captured image pictures to a monitoring center platform by using the following formula (3),
in the formula (3), Q (i) represents a priority upload control value of the image frame of the ith action with the intercepted alarm level value not equal to 0; n represents the total number of actions for which all alarm level values are not equal to 0;
if Q (i) is not less than 0, indicating that all captured image pictures of actions with alarm level values not equal to 0 need to be preferentially uploaded to a monitoring center platform;
if it is
Then it means that the image frame of the ith action whose alarm level value is not equal to 0 is required to be displayed on all other image framesThe surface can be uploaded to the monitoring center platform only after being uploaded to the monitoring center platform;
if it is
The intercepted image of the ith action with the alarm level value not equal to 0 does not need to be uploaded to a monitoring center platform;
and identifying the area position corresponding to the uploaded image picture, and indicating the monitoring center platform to send a work control instruction to the alarm terminal to which the area position belongs.
The beneficial effects of the above technical scheme are: the uploading priority of the captured image is controlled by the formula (3) according to the alarm level value of the action, so that the action screenshot with the high monitoring level and the high dangerous action level is uploaded preferentially, the image alarm with different sensitivities is carried out according to different alarm level values, and then the corresponding emergency mode can be carried out according to the uploading alarm with different degrees, and the emergency efficiency is improved.
From the content of the above embodiment, the hierarchical alarm method for the view library camera indicates different cameras to acquire the scanning monitoring images of the areas where the different cameras are located, and captures the image pictures of the same person in all the scanning monitoring images; analyzing the action information of the same person to determine the monitoring level state and the action level state of the current action of the same person, and then determining the alarm level of the current action of the same person; according to the alarm level of the current action, the priority order of uploading the intercepted image to the monitoring center platform is adjusted, and the monitoring center platform is instructed to send a work control instruction to the corresponding alarm terminal, so that different actions of personnel can be distinguished and processed in the monitoring level, different actions sent by the personnel can be identified and determined, timely and accurate analysis of action information of the personnel is realized, and the reliability and safety of camera monitoring are improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (5)
1. The hierarchical alarm method for the view library camera is characterized by comprising the following steps of:
step S1, instructing different cameras to scan and shoot areas where the cameras are located to obtain scanned monitoring images; identifying the scanned monitoring image, and determining the personnel existence information of the scanned monitoring image;
s2, respectively intercepting image pictures belonging to the same person for all the scanned monitoring images according to the personnel existence information; analyzing all image pictures to obtain action information of the same person in different scanning monitoring images so as to determine a monitoring level state corresponding to the current action of the same person;
s3, analyzing and processing the action information of the same person to obtain the action level state of the current action of the same person; determining the alarm level of the current action of the same person according to the monitoring level state and the action level state;
s4, adjusting the priority of uploading the captured image to a monitoring center platform according to the alarm level; then according to the uploaded image picture, instructing the monitoring center platform to send a work control instruction to a corresponding alarm terminal;
in step S2, the identifying the scanned monitoring image and the determining the presence information of the person scanning the monitoring image specifically include:
after pixel gray scale conversion processing and edge pixel sharpening processing are carried out on each scanning monitoring image, facial feature information and body contour information of all persons existing in the scanning monitoring image are obtained through recognition and serve as the person existence information;
in step S2, respectively capturing image frames belonging to the same person for all scanned monitored images according to the person presence information specifically includes:
comparing the facial feature information and body contour information of all the persons in the scanned and monitored images, and determining the persons with the same facial feature information and body contour information as the same person;
then, image pictures belonging to the same person are intercepted from all the scanned monitoring images; wherein, the captured image at least comprises the head or a part of the four limbs area of the same person;
in step S2, analyzing all image frames to obtain motion information of the same person in different scanned monitored images, so as to determine a monitoring level state corresponding to the current motion of the same person specifically includes:
performing identification analysis processing on all image pictures to obtain head movements and four-limb movements of the same person in different scanning monitoring images, determining a monitoring level value corresponding to the current movement of the same person according to the identified head movements and four-limb movements by using the following formula (1),
in the formula (1), a (i) represents a monitoring level value corresponding to the current ith action of the same person, wherein the current ith action comprises head action or limb action; i represents the ith action arranged in the head action and the four-limb action of the same person in different scanning monitoring images; d (i) represents an image picture corresponding to the current ith action of the same person; d a (j) The camera representing the monitoring grade value a acquires an image picture corresponding to the jth action; j represents the j-th action arranged in the head action and the four-limb action acquired by the camera with the monitoring grade value a; m is a Representing the total motion quantity of the head motion and the four limbs motion acquired by the camera with the monitoring grade value a; f2]The function value of the image detection function is 1 if the motion contained in the two image frames in the bracket is the same motion, otherwise, the function of the image detection function isA value of 0; g denotes the highest monitoring level value of the camera.
2. The view library camera hierarchical alarm method of claim 1, wherein:
in the step S1, instructing different cameras to scan and shoot the area where the cameras are located, and obtaining the scanned monitoring image specifically includes:
indicating different cameras arranged in the same area to respectively perform synchronous scanning shooting in different directions to obtain different scanning monitoring images; wherein the scanning and shooting frequencies of all the cameras for scanning and shooting are the same.
3. The view library camera rating alarm method of claim 1, wherein:
in step S3, analyzing and processing the motion information of the same person, and obtaining the motion level state of the current motion of the same person specifically includes:
according to the action amplitude of the same person, dividing the current action of the same person into a first amplitude state action, a second amplitude state action, a third amplitude state action, a fourth amplitude state action and a fifth amplitude state action; wherein the action amplitudes of the first amplitude state action, the second amplitude state action, the third amplitude state action, the fourth amplitude state action and the fifth amplitude state action are reduced in sequence.
4. The view library camera rating alarm method of claim 3, wherein:
in step S3, determining the alarm level of the current action of the same person according to the monitoring level state and the action level state specifically includes:
determining an alarm level value of the current action of the same person according to the monitoring level state and the action level state by using the following formula (2),
in the formula (2), E (i) represents an alarm level value corresponding to the current ith action of the same person; and R (i) represents the action grade value of the current ith action of the same person, which belongs to the action of the first amplitude state, the action of the second amplitude state, the action of the third amplitude state, the action of the fourth amplitude state or the action of the fifth amplitude state, and if the current ith action belongs to the action of the first amplitude state, the action of the second amplitude state, the action of the third amplitude state, the action of the fourth amplitude state or the action of the fifth amplitude state, the corresponding action grade value is 0, 1, 2, 3 and 4.
5. The view library camera ranking alarm method of claim 4 wherein:
in the step S4, the priority order of uploading the captured image to a monitoring center platform is adjusted according to the alarm level; then according to the uploaded image picture, instructing the monitoring center platform to send a work control instruction to the corresponding alarm terminal specifically comprises the following steps:
collecting all the captured image pictures of actions with alarm level values not equal to 0, determining the priority of uploading the captured image pictures to a monitoring center platform by using the following formula (3),
in the formula (3), Q (i) represents a priority upload control value of the image frame of the ith action with the intercepted alarm level value not equal to 0; n represents the total number of actions for which all alarm level values are not equal to 0;
if Q (i) is not less than 0, indicating that all captured image pictures of actions with alarm level values not equal to 0 need to be preferentially uploaded to a monitoring center platform;
if it is
The image picture of the ith action with the alarm level value not equal to 0 obtained by intercepting is required to be uploaded to the monitoring center platform after all other image pictures are uploaded to the monitoring center platform;
if it is
The intercepted image of the ith action with the alarm level value not equal to 0 does not need to be uploaded to a monitoring center platform;
and identifying the area position corresponding to the uploaded image picture, and indicating the monitoring center platform to send a work control instruction to the alarm terminal to which the area position belongs.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210311706.4A CN114973398B (en) | 2022-03-28 | 2022-03-28 | Hierarchical alarm method for view library camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210311706.4A CN114973398B (en) | 2022-03-28 | 2022-03-28 | Hierarchical alarm method for view library camera |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114973398A CN114973398A (en) | 2022-08-30 |
| CN114973398B true CN114973398B (en) | 2023-02-21 |
Family
ID=82976005
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210311706.4A Active CN114973398B (en) | 2022-03-28 | 2022-03-28 | Hierarchical alarm method for view library camera |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114973398B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105100689A (en) * | 2014-05-13 | 2015-11-25 | 杭州海康威视数字技术股份有限公司 | Automatic teller machine (ATM) video surveillance method and apparatus |
| CN105336072A (en) * | 2015-11-06 | 2016-02-17 | 童迎伟 | Multilayer protection intelligent antitheft door lock system based on Internet of things, and alarm processing method |
| EP3282432A1 (en) * | 2016-08-10 | 2018-02-14 | Honeywell International Inc. | Smart device distributed security system |
| US10043360B1 (en) * | 2017-10-26 | 2018-08-07 | Scott Charles Mullins | Behavioral theft detection and notification system |
| CN109413369A (en) * | 2017-08-17 | 2019-03-01 | 孟思宏 | A kind of monitor video intellectual analysis early warning platform |
| CN112383756A (en) * | 2020-11-13 | 2021-02-19 | 珠海大横琴科技发展有限公司 | Video monitoring alarm processing method and device |
| CN214014355U (en) * | 2021-02-02 | 2021-08-20 | 河北建材职业技术学院 | Artificial intelligence examination room monitoring system |
| CN113408435A (en) * | 2021-06-22 | 2021-09-17 | 华侨大学 | Safety monitoring method, device, equipment and storage medium |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10460590B2 (en) * | 2016-07-26 | 2019-10-29 | Tyco Integrated Security, LLC | Method and system for mobile duress alarm |
| CN106572329A (en) * | 2016-10-14 | 2017-04-19 | 中国石油大学(华东) | Precise recognition system for video monitoring image |
| CN112634561A (en) * | 2020-12-15 | 2021-04-09 | 中标慧安信息技术股份有限公司 | Safety alarm method and system based on image recognition |
-
2022
- 2022-03-28 CN CN202210311706.4A patent/CN114973398B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105100689A (en) * | 2014-05-13 | 2015-11-25 | 杭州海康威视数字技术股份有限公司 | Automatic teller machine (ATM) video surveillance method and apparatus |
| CN105336072A (en) * | 2015-11-06 | 2016-02-17 | 童迎伟 | Multilayer protection intelligent antitheft door lock system based on Internet of things, and alarm processing method |
| EP3282432A1 (en) * | 2016-08-10 | 2018-02-14 | Honeywell International Inc. | Smart device distributed security system |
| CN109413369A (en) * | 2017-08-17 | 2019-03-01 | 孟思宏 | A kind of monitor video intellectual analysis early warning platform |
| US10043360B1 (en) * | 2017-10-26 | 2018-08-07 | Scott Charles Mullins | Behavioral theft detection and notification system |
| CN112383756A (en) * | 2020-11-13 | 2021-02-19 | 珠海大横琴科技发展有限公司 | Video monitoring alarm processing method and device |
| CN214014355U (en) * | 2021-02-02 | 2021-08-20 | 河北建材职业技术学院 | Artificial intelligence examination room monitoring system |
| CN113408435A (en) * | 2021-06-22 | 2021-09-17 | 华侨大学 | Safety monitoring method, device, equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| Smart Fire Alarm System with Person Detection and Thermal Camera;Yibing Ma etal.;《Computational Science-ICCS2020》;20200615;全文 * |
| 高危环境下的操作人员危险动作报警监控仿真;郭俊博;《计算机仿真》;20141231;第31卷(第12期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114973398A (en) | 2022-08-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA3100569C (en) | Ship identity recognition method base on fusion of ais data and video data | |
| CN112396658B (en) | Indoor personnel positioning method and system based on video | |
| CN108319926A (en) | A kind of the safety cap wearing detecting system and detection method of building-site | |
| CN109190475B (en) | Face recognition network and pedestrian re-recognition network collaborative training method | |
| CN106886216A (en) | Robot automatic tracking method and system based on RGBD Face datections | |
| CN110728252B (en) | Face detection method applied to regional personnel motion trail monitoring | |
| CN109145708A (en) | A kind of people flow rate statistical method based on the fusion of RGB and D information | |
| CN110633612A (en) | Monitoring method and system for inspection robot | |
| CN111539313A (en) | Examination cheating behavior detection method and system | |
| WO2021217764A1 (en) | Human face liveness detection method based on polarization imaging | |
| CN106709438A (en) | Method for collecting statistics of number of people based on video conference | |
| CN111079694A (en) | Counter assistant job function monitoring device and method | |
| CN112634561A (en) | Safety alarm method and system based on image recognition | |
| CN112528817A (en) | Patrol robot visual detection and tracking method based on neural network | |
| CN114973398B (en) | Hierarchical alarm method for view library camera | |
| CN113044694A (en) | Construction site elevator people counting system and method based on deep neural network | |
| CN114724348B (en) | Deep learning-based rescue alarm method | |
| CN112183287A (en) | People counting method of mobile robot under complex background | |
| CN111951161A (en) | Target identification method and system and inspection robot | |
| CN214151721U (en) | Recognition all-in-one machine system based on face algorithm | |
| CN115620192A (en) | Method and device for detecting wearing of safety rope in aerial work | |
| CN112070913B (en) | Ticket checking processing method based on Internet of things technology | |
| CN111832451A (en) | Airworthiness monitoring process supervision system and method based on video data processing | |
| CN113111777A (en) | Indoor personnel density detection system and detection method based on ARM platform | |
| CN117558035B (en) | Figure identity recognition system and method based on image technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |