CN113077634A - Method for assisting traffic monitoring - Google Patents
Method for assisting traffic monitoring Download PDFInfo
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- CN113077634A CN113077634A CN202110294923.2A CN202110294923A CN113077634A CN 113077634 A CN113077634 A CN 113077634A CN 202110294923 A CN202110294923 A CN 202110294923A CN 113077634 A CN113077634 A CN 113077634A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 71
- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000002159 abnormal effect Effects 0.000 claims abstract description 77
- 230000005236 sound signal Effects 0.000 claims abstract description 33
- 230000026676 system process Effects 0.000 claims abstract description 5
- 230000005540 biological transmission Effects 0.000 claims description 15
- 239000013598 vector Substances 0.000 claims description 8
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 239000000284 extract Substances 0.000 claims description 4
- 238000009432 framing Methods 0.000 claims description 3
- 239000002360 explosive Substances 0.000 claims description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 206010039740 Screaming Diseases 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Emergency Alarm Devices (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a method for assisting traffic monitoring, which comprises the following steps: installing a microphone matched with the monitoring camera; the microphone collects sound signals of a traffic intersection and transmits the sound signals to a traffic monitoring system; the traffic monitoring system processes the sound signals and detects whether abnormal sound occurs; when the abnormal sound occurs, acquiring the position of the intersection where the abnormal sound occurs, confirming the abnormal sound condition and identifying and evaluating the abnormal sound; and when the abnormal sound does not occur, the traffic monitoring system continues monitoring. The invention can improve the quick response to the traffic abnormal event and assist the monitoring network to monitor more comprehensively.
Description
Technical Field
The invention relates to the technical field of traffic monitoring, in particular to a method for assisting traffic monitoring.
Background
The existing monitoring system can cover most of intersections and road sections of a city, but due to the high complexity of the urban traffic network, even if the monitoring coverage is achieved, the rapid response is difficult due to the limitation of labor cost, and more people still rely on the alarm of passerby. In the prior art, the efficiency of checking road monitoring by using manpower is poor, and quick response to accidents is difficult to achieve; the road section which has sent the accident is difficult to locate in time, the accident condition can not be accurately estimated, the problems that dead angles exist when the camera monitors and covers the road section or pictures at corners are not clear and the like exist, and the road junction is difficult to be completely covered by the monitoring.
Therefore, how to realize the rapid monitoring of the abnormal traffic events under the existing traffic monitoring system and improve the monitoring efficiency under the condition of camera dead angles or unclear shooting pictures is a problem to be solved at present.
Disclosure of Invention
The invention aims to solve the technical problems of how to realize the rapid monitoring of traffic abnormal events under the existing traffic monitoring system and improve the monitoring efficiency under the condition of camera dead angles or unclear shooting pictures, and provides a method for assisting traffic monitoring.
The invention solves the technical problems through the following technical scheme:
a method of assisting traffic monitoring, the method comprising:
installing a microphone matched with the monitoring camera;
the microphone collects sound signals of a traffic intersection and transmits the sound signals to a traffic monitoring system;
the traffic monitoring system processes the sound signals and detects whether abnormal sound occurs;
when the abnormal sound occurs, acquiring the position of the intersection where the abnormal sound occurs, confirming the abnormal sound condition and identifying and evaluating the abnormal sound;
and when the abnormal sound does not occur, the traffic monitoring system continues monitoring.
Further, the processing of the sound signal by the traffic monitoring system, and the checking whether an abnormal sound occurs includes:
the traffic monitoring system carries out framing processing on the sound signals and extracts the feature vectors of the sound signals;
and comparing the feature vector of the sound signal with a sound template under a normal condition, and if the proportion of abnormal frames exceeds a threshold value, determining that the abnormal sound is detected.
Further, when the abnormal sound occurs, the obtaining of the intersection position where the abnormal sound occurs to confirm the abnormal sound and the identifying and evaluating of the abnormal sound include:
the traffic monitoring system acquires the position of the traffic intersection where the abnormal sound occurs;
whether other sound transmission equipment exists at the traffic intersection is confirmed;
when the other sound transmission equipment does not exist, the traffic monitoring system carries out identification and evaluation according to the detected abnormal sound;
and when other sound transmission equipment exists, carrying out comprehensive judgment.
Preferably, the comprehensive judgment includes:
after waiting for a period of time, when the abnormal sound is also collected by the other sound transmission equipment, determining that the abnormal sound condition occurs and carrying out identification evaluation according to the detected abnormal sound;
and after waiting for a period of time, when the other sound transmission equipment does not acquire the abnormal sound, temporarily not reacting to the abnormal sound, and continuously monitoring by the traffic monitoring system.
Furthermore, the abnormal sound is divided into four grades, wherein the first grade comprises long brake sound, scream sound and siren sound; the second level comprises impact sound and collapse sound; the third level includes explosive sound, gunshot sound; the fourth level includes unknown but detected differences from usual.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows: the rapid response to the traffic abnormal event can be improved; the auxiliary monitoring network can monitor more comprehensively.
Drawings
FIG. 1 is a flow chart of a method in an embodiment of a method for assisting traffic monitoring of the present invention;
fig. 2 is a flow chart of processing sound signals by a traffic monitoring system according to an embodiment of a method for assisting traffic monitoring of the present invention.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present application are shown in the drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
S01: installing a microphone matched with the monitoring camera;
in one example, a microphone matched with the monitoring camera is installed at a road section or a traffic intersection where traffic accidents are prone to happen. In consideration of the operation cost, one or two microphones may be installed to cooperate with the monitoring camera in a normal case.
S02: the microphone collects sound signals of a traffic intersection and transmits the sound signals to a traffic monitoring system;
in one example, after a microphone matched with the monitoring camera is powered on, sound signals of a road section and a traffic intersection are always collected, and the sound signals are transmitted to a server of the traffic monitoring system.
S021: the traffic monitoring system carries out framing processing on the sound signals and extracts the feature vectors of the sound signals;
in one example, the traffic monitoring system may frame the audio signal appropriately after receiving the audio signal, and then extract the feature vector of the audio signal.
S022: and comparing the feature vector of the sound signal with a sound template under a normal condition, and if the proportion of abnormal frames exceeds a threshold value, determining that the abnormal sound is detected.
In one example, the traffic monitoring system compares the extracted feature vector with a normal template, determines that the section of sound signal is an abnormal sound signal if the proportion of the abnormal frame exceeds a threshold value, and sends the section of sound to the traffic monitoring system for further processing.
S03: the traffic monitoring system processes the sound signals and detects whether abnormal sound occurs; when the abnormal sound occurs, acquiring the position of the intersection where the abnormal sound occurs, confirming the abnormal sound condition and identifying and evaluating the abnormal sound; and when the abnormal sound does not occur, the traffic monitoring system continues monitoring.
In one example, when a microphone in a traffic monitoring system sends the abnormal sound behavior, the traffic monitoring system acquires the position of the traffic intersection where the abnormal sound occurs, and confirms the installation conditions and the working environment of a camera, the microphone and other sound transmission equipment at the intersection. And when the traffic intersection is determined to be only provided with the microphone and have no other sound transmission equipment, evaluating the occurrence condition of the traffic intersection according to the detected abnormal sound condition. When other sound transmission equipment is installed at the traffic intersection, the abnormal sound signals are extracted from the other sound transmission equipment within a time period of 10ms from the abnormal sound signal occurrence time point collected by the microphone. When the proportion of the devices which detect the abnormal sound exceeds a set threshold value, the traffic monitoring system judges that the abnormal sound is really generated, and carries out identification and evaluation on the detected abnormal sound. And when the other sound transmissions do not acquire the abnormal sound or the proportion of the equipment which detects the abnormal sound is lower than a set threshold value, the traffic monitoring system temporarily does not react to the abnormal sound and continues to keep a monitoring state.
In general, abnormal noise is classified into four classes: the first level is abnormal sounds such as screaming, brake sound, and the like. The second grade is abnormal sound such as impact sound, the third grade is abnormal sound such as gunshot sound and explosion sound, the fourth grade is unidentified abnormal sound, and the classification mechanism is used for assisting the assessment and cognition of the public security monitoring system on the basis of accident situation of the accident road section.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (5)
1. A method of assisting traffic monitoring, the method comprising:
installing a microphone matched with the monitoring camera;
the microphone collects sound signals of a traffic intersection and transmits the sound signals to a traffic monitoring system;
the traffic monitoring system processes the sound signals and detects whether abnormal sound occurs;
when the abnormal sound occurs, acquiring the position of the intersection where the abnormal sound occurs, confirming the abnormal sound condition and identifying and evaluating the abnormal sound;
and when the abnormal sound does not occur, the traffic monitoring system continues monitoring.
2. The method of claim 1, wherein the traffic monitoring system processes the sound signal and checking whether an abnormal sound occurs comprises:
the traffic monitoring system carries out framing processing on the sound signals and extracts the feature vectors of the sound signals;
and comparing the feature vector of the sound signal with a sound template under a normal condition, and if the proportion of abnormal frames exceeds a threshold value, determining that the abnormal sound is detected.
3. The method as claimed in claim 2, wherein said obtaining the intersection position where the abnormal sound occurs to confirm the abnormal sound and perform the identification and evaluation on the abnormal sound comprises:
the traffic monitoring system acquires the position of the traffic intersection where the abnormal sound occurs;
whether other sound transmission equipment exists at the traffic intersection is confirmed;
when the other sound transmission equipment does not exist, the traffic monitoring system carries out identification and evaluation according to the detected abnormal sound;
and when other sound transmission equipment exists, carrying out comprehensive judgment.
4. A method of assisting traffic monitoring according to claim 3, wherein the comprehensive decision comprises:
after waiting for a period of time, when the abnormal sound is also collected by the other sound transmission equipment, determining that the abnormal sound condition occurs and carrying out identification evaluation according to the detected abnormal sound;
and after waiting for a period of time, when the other sound transmission equipment does not acquire the abnormal sound, temporarily not reacting to the abnormal sound, and continuously monitoring by the traffic monitoring system.
5. A method of assisting traffic monitoring according to any of claims 1-4, wherein the abnormal sound is classified into four levels, the first level comprising a heavy brake sound, a scream sound, a siren sound; the second level comprises impact sound and collapse sound; the third level includes explosive sound, gunshot sound; the fourth level includes unknown but detected differences from usual.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110294923.2A CN113077634A (en) | 2021-03-19 | 2021-03-19 | Method for assisting traffic monitoring |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110294923.2A CN113077634A (en) | 2021-03-19 | 2021-03-19 | Method for assisting traffic monitoring |
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| CN113077634A true CN113077634A (en) | 2021-07-06 |
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| CN202110294923.2A Pending CN113077634A (en) | 2021-03-19 | 2021-03-19 | Method for assisting traffic monitoring |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104538041A (en) * | 2014-12-11 | 2015-04-22 | 深圳市智美达科技有限公司 | Method and system for detecting abnormal sounds |
| CN104954543A (en) * | 2014-03-31 | 2015-09-30 | 小米科技有限责任公司 | Automatic alarm method and device and mobile terminal |
| CN109087655A (en) * | 2018-07-30 | 2018-12-25 | 桂林电子科技大学 | A kind of monitoring of traffic route sound and exceptional sound recognition system |
| CN109300471A (en) * | 2018-10-23 | 2019-02-01 | 中冶东方工程技术有限公司 | Merge place intelligent video monitoring method, the apparatus and system of sound collection identification |
| EP3457380A1 (en) * | 2016-05-10 | 2019-03-20 | Tencent Technology (Shenzhen) Company Limited | Traffic accident pre-warning method and traffic accident pre-warning device |
| CN111601074A (en) * | 2020-04-24 | 2020-08-28 | 平安科技（深圳）有限公司 | Security monitoring method and device, robot and storage medium |
| CN111683329A (en) * | 2020-05-30 | 2020-09-18 | 北京声智科技有限公司 | Microphone detection method, device, terminal and storage medium |
-
2021
- 2021-03-19 CN CN202110294923.2A patent/CN113077634A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104954543A (en) * | 2014-03-31 | 2015-09-30 | 小米科技有限责任公司 | Automatic alarm method and device and mobile terminal |
| CN104538041A (en) * | 2014-12-11 | 2015-04-22 | 深圳市智美达科技有限公司 | Method and system for detecting abnormal sounds |
| EP3457380A1 (en) * | 2016-05-10 | 2019-03-20 | Tencent Technology (Shenzhen) Company Limited | Traffic accident pre-warning method and traffic accident pre-warning device |
| CN109087655A (en) * | 2018-07-30 | 2018-12-25 | 桂林电子科技大学 | A kind of monitoring of traffic route sound and exceptional sound recognition system |
| CN109300471A (en) * | 2018-10-23 | 2019-02-01 | 中冶东方工程技术有限公司 | Merge place intelligent video monitoring method, the apparatus and system of sound collection identification |
| CN111601074A (en) * | 2020-04-24 | 2020-08-28 | 平安科技（深圳）有限公司 | Security monitoring method and device, robot and storage medium |
| CN111683329A (en) * | 2020-05-30 | 2020-09-18 | 北京声智科技有限公司 | Microphone detection method, device, terminal and storage medium |
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Application publication date: 20210706 |
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