CN112911274B - Self-adaptive monitoring video detection platform and method - Google Patents
Self-adaptive monitoring video detection platform and method Download PDFInfo
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- CN112911274B CN112911274B CN202011286051.7A CN202011286051A CN112911274B CN 112911274 B CN112911274 B CN 112911274B CN 202011286051 A CN202011286051 A CN 202011286051A CN 112911274 B CN112911274 B CN 112911274B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention relates to a self-adaptive monitoring video detection platform and a method, wherein the platform comprises: the first receiving mechanism is used for receiving a monitoring video, the monitoring video is composed of a plurality of video pictures respectively corresponding to a plurality of different timestamps, and the monitoring video further comprises accompanying sound information; the first detection mechanism is used for receiving each video picture and the corresponding sound signal thereof and analyzing the default volume intensity level of the sound signal in the state of not manually tuning; the first processing mechanism is used for finely adjusting the resolution of each video picture based on the default volume intensity level of the accompanying sound signal of the video picture so as to obtain the finely adjusted video picture. The self-adaptive monitoring video detection platform and the method are reliable in logic and have a certain self-adaptive level. Because a targeted monitoring video picture modification detection mechanism can be introduced to perform modification prevention processing on important monitoring video data, the objectivity of the video picture is ensured.
Description
Technical Field
The invention relates to the field of video monitoring, in particular to a self-adaptive monitoring video detection platform and a method.
Background
The monitoring system is one of the most applied systems in the security system, the construction site monitoring system suitable for the market is a handheld video communication device, and video monitoring is the mainstream at present. From the earliest analog monitoring to the digital monitoring of the fire and heat in the previous years to the emerging network video monitoring, the change of the network coverage occurs. Today, as IP technology gradually unifies the world, people need to know the development history of video monitoring systems again. From the technical point of view, the development of video monitoring systems is divided into a first generation analog video monitoring system (CCTV), a second generation digital video monitoring system (DVR) based on 'PC + multimedia card', and a third generation video monitoring system (IPVS) based on an IP network.
Some monitoring systems are portable real-time image and video transmission devices which integrate the functions of video acquisition, wireless network transmission, LED intense light illumination, GPS positioning, voice talkback and the like. The product adopts a coding transmission technology and a remote wireless communication technology, is matched with a high-speed server with stable performance and an advanced computer/smart phone wireless video watching platform, has clear image quality and smooth video, and is an excellent remote high-efficiency communication and management tool in the outdoor construction industries such as building construction, road and bridge construction, decoration and decoration, hydraulic engineering and the like.
In the prior art, the monitoring video data of each monitoring place in cities and regions is publicly recognized objective data and can be used as evidence for proving and identifying various facts, however, some illegal persons can hire technical personnel to modify or pack the monitoring video data so as to replace the original monitoring video data and achieve the bad purpose of reversing the facts.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a self-adaptive monitoring video detection platform, which can introduce a targeted monitoring video picture modification detection mechanism to perform modification prevention processing on important monitoring video data, thereby ensuring the objectivity of a video picture.
For this reason, the present invention needs to have at least the following important points:
(1) performing resolution adjustment processing based on the default audio signal intensity of each monitoring video picture to provide a distinguishing mechanism for a receiving end to perform content detection on whether the video picture is modified;
(2) and a resolution fine adjustment processing mode based on the default audio signal intensity of the video picture is adopted to avoid the picture flicker phenomenon caused by too obvious video picture change.
According to an aspect of the present invention, there is provided an adaptive surveillance video detection platform, the platform comprising:
the first receiving mechanism is arranged at the video processing end and used for receiving a monitoring video, the monitoring video is composed of a plurality of video pictures corresponding to a plurality of different timestamps, the monitoring video also comprises accompanying sound information which is composed of a plurality of sections of accompanying sound signals, and each video picture corresponds to the accompanying sound signals of different sections;
the first detection mechanism is arranged at the video processing end, is connected with the first receiving mechanism and is used for receiving each video picture and the corresponding accompanying sound signal thereof and analyzing the default volume intensity level of the accompanying sound signal in the state of not manually tuning;
the first processing mechanism is arranged at a video processing end, is connected with the first detection mechanism and is used for finely adjusting the resolution of each video picture based on the default volume intensity level of the accompanying sound signal of each video picture so as to obtain the finely adjusted video picture;
the first sending mechanism is arranged at a video processing end, is connected with the first processing mechanism and is used for sending a plurality of fine-tuned video pictures corresponding to a plurality of different timestamps as part of contents of processed video data, and the first sending mechanism is also used for taking an audio signal corresponding to an original video picture of a monitoring video corresponding to each fine-tuned video picture as an audio signal of the fine-tuned video picture to be included in the processed video data for synchronous sending;
the second receiving mechanism is arranged at the video receiving end and used for receiving each finely-tuned video picture and corresponding audio signals in the processed video data;
the second detection mechanism is arranged at a video receiving end, is connected with the second receiving mechanism and is used for analyzing the default volume intensity level of each section of sound signal in the state of not manually tuning;
and the second processing mechanism is arranged at a video receiving end, is connected with the second detection mechanism and is used for executing detection processing on whether the default volume intensity level of the audio signal corresponding to each fine-tuned video picture is matched with the resolution of each received fine-tuned video picture so as to send a picture unmodified signal when the two are matched with each other, or send a picture modified signal when the two are not matched with each other.
According to another aspect of the present invention, there is also provided an adaptive surveillance video detection method, which includes using the adaptive surveillance video detection platform as described above to detect whether surveillance video picture data is being packetized or not in a resolution fine-tuning processing mode based on a default audio signal strength of a video picture.
The self-adaptive monitoring video detection platform and the method are reliable in logic and have a certain self-adaptive level. Because a targeted monitoring video picture modification detection mechanism can be introduced to perform modification prevention processing on important monitoring video data, the objectivity of the video picture is ensured.
Detailed Description
Embodiments of the adaptive surveillance video inspection platform and method of the present invention will be described in detail below.
The research object of the adaptive control is a system with a certain degree of uncertainty, and the term "uncertainty" means that a mathematical model describing the controlled object and the environment thereof is not completely determined, and comprises some unknown factors and random factors.
Any one actual system has varying degrees of uncertainty, sometimes highlighted inside the system and sometimes highlighted outside the system. From the inside of the system, the structure and parameters of the mathematical model describing the controlled object are not necessarily known accurately by the designer in advance. As the influence of the external environment on the system can be equivalently represented by a number of disturbances. These disturbances are often unpredictable. In addition, some uncertainty factors generated during measurement enter the system. In the face of these various kinds of uncertainty, how to design a proper control action to make a certain specified performance index reach and keep the optimal or approximately optimal is a problem to be researched and solved by adaptive control.
The self-adaptive control is the same as the conventional feedback control and the optimal control, and is a control method based on a mathematical model, and the difference is that the prior knowledge about the model and the disturbance, which is the basis of the self-adaptive control, is less, and the information about the model needs to be continuously extracted in the running process of the system, so that the model is gradually improved. Specifically, the model parameters may be continuously identified based on the input and output data of the object, which is called online identification of the system. With the continuous production process, the model becomes more accurate and closer to reality through online identification. Since models are constantly being developed, it is clear that the control actions integrated on the basis of such models will also be constantly being developed. In this sense, the control system has a certain adaptability. For example, when the system is in the design stage, the system may not perform well when being put into operation at the beginning due to the lack of initial information of the object characteristics, but as long as a period of operation elapses, the control system gradually adapts to adjust itself to a satisfactory working state through online identification and control. For example, in some control objects, the characteristics of the control objects may change significantly during operation, but the system can adapt gradually by identifying and changing the controller parameters online.
In the prior art, the monitoring video data of each monitoring place in cities and regions is publicly recognized objective data and can be used as evidence for proving and identifying various facts, however, some illegal persons can hire technical personnel to modify or pack the monitoring video data so as to replace the original monitoring video data and achieve the bad purpose of reversing the facts.
In order to overcome the defects, the invention builds a self-adaptive monitoring video detection platform and a method, and can effectively solve the corresponding technical problem.
The self-adaptive monitoring video detection platform shown according to the embodiment of the invention comprises:
the first receiving mechanism is arranged at the video processing end and used for receiving a monitoring video, the monitoring video is composed of a plurality of video pictures corresponding to a plurality of different timestamps, the monitoring video also comprises accompanying sound information which is composed of a plurality of sections of accompanying sound signals, and each video picture corresponds to the accompanying sound signals of different sections;
the first detection mechanism is arranged at the video processing end, is connected with the first receiving mechanism and is used for receiving each video picture and the corresponding accompanying sound signal thereof and analyzing the default volume intensity level of the accompanying sound signal in the state of not manually tuning;
the first processing mechanism is arranged at a video processing end, is connected with the first detection mechanism and is used for finely adjusting the resolution of each video picture based on the default volume intensity level of the accompanying sound signal of each video picture so as to obtain the finely adjusted video picture;
the first sending mechanism is arranged at a video processing end, is connected with the first processing mechanism and is used for sending a plurality of fine-tuned video pictures corresponding to a plurality of different timestamps as part of contents of processed video data, and the first sending mechanism is also used for taking an audio signal corresponding to an original video picture of a monitoring video corresponding to each fine-tuned video picture as an audio signal of the fine-tuned video picture to be included in the processed video data for synchronous sending;
the second receiving mechanism is arranged at the video receiving end and used for receiving each finely-tuned video picture and corresponding audio signals in the processed video data;
the second detection mechanism is arranged at a video receiving end, is connected with the second receiving mechanism and is used for analyzing the default volume intensity level of each section of sound signal in the state of not manually tuning;
and the second processing mechanism is arranged at a video receiving end, is connected with the second detection mechanism and is used for executing detection processing on whether the default volume intensity level of the audio signal corresponding to each fine-tuned video picture is matched with the resolution of each received fine-tuned video picture so as to send a picture unmodified signal when the two are matched with each other, or send a picture modified signal when the two are not matched with each other.
Next, the specific structure of the adaptive surveillance video inspection platform of the present invention will be further described.
In the self-adaptive monitoring video detection platform:
the fine-tuning the resolution of the video picture based on the default volume intensity level of the audio signal of each video picture to obtain a fine-tuned video picture comprises: the higher the default volume intensity level of the audio signal of each video picture is, the higher the resolution of the video picture is finely adjusted to obtain the finely adjusted resolution of the video picture.
In the self-adaptive monitoring video detection platform:
the fine-tuning the resolution of the video picture based on the default volume intensity level of the audio signal of each video picture to obtain a fine-tuned video picture comprises: the fine tuning range of the resolution is between the resolution of the surveillance video and twice the resolution of the surveillance video.
In the self-adaptive monitoring video detection platform:
executing detection processing on whether the default volume intensity level of the audio signal corresponding to each received fine-tuned video picture is matched with the default volume intensity level of the audio signal corresponding to the received fine-tuned video picture, wherein when the default volume intensity level of the audio signal is matched with the default volume intensity level of the audio signal, sending a picture unmodified signal comprises the following steps: and determining a default volume intensity level corresponding to the resolution of each fine-tuned video picture based on the multiple relation between the received resolution of each fine-tuned video picture and the resolution of the monitoring video, and sending a picture unmodified signal when the determined default volume intensity level is equal to the default volume intensity level of the accompanying sound signal corresponding to the fine-tuned video picture.
In the self-adaptive monitoring video detection platform:
the first detection mechanism is internally provided with a storage unit used for storing input data and output data of the first detection mechanism.
In the self-adaptive monitoring video detection platform:
the second detection mechanism is connected with the IIC control bus and used for receiving various control instructions sent by the IIC control bus.
In the self-adaptive monitoring video detection platform:
the first detection mechanism is also connected with a clock generator and used for receiving a timing signal customized for the first detection mechanism by the clock generator.
In the self-adaptive monitoring video detection platform:
the second detection mechanism is realized by adopting an ASIC chip, and the ASIC chip comprises an online programming interface;
wherein the first detection mechanism and the second detection mechanism are positioned on the same printed circuit board and share the same circuit supply equipment;
the second detection mechanism is also connected with a parallel data bus and used for receiving data from the parallel data bus and sending the data to the parallel data bus.
The adaptive surveillance video detection platform may further include:
the hard disk device is used for storing various configuration parameters of the first detection mechanism and the second detection mechanism;
wherein, hard disk equipment adopts rubber to move away to avoid possible earthquakes, steel wire move away to avoid possible earthquakes or electron moves away to avoid possible earthquakes.
Meanwhile, in order to overcome the defects, the invention also builds a self-adaptive monitoring video detection method, which comprises the step of using the self-adaptive monitoring video detection platform to detect whether the monitoring video picture data is subjected to packet modulation or not by adopting a resolution fine-tuning processing mode based on the default audio signal intensity of the video picture.
In addition, with the development of large-scale integrated circuit technology, it is more and more convenient to integrate peripheral circuits such as ROM, RAM, I/O port, A/D, D/A, etc. necessary for CPU and a single working system into a single chip to make a single chip or microcontroller. At present, many companies in the world produce single-chip microcomputers of various varieties. The system comprises CPUs with various word lengths, ROMs and RAMs with various capacities, I/O interface circuits with different functions and the like, but the variety and the specification of the single chip microcomputer are still limited, so that only a certain single chip microcomputer can be selected for expansion. There are two methods of expansion: one is a parallel bus and the other is a serial bus. Because the serial bus has few connecting wires and simple structure, all the devices are often connected by wires without special motherboards and sockets. Therefore, the hardware design of the system can be greatly simplified by adopting the serial line.
IIC serial bus, which can realize the arbitration and high and low speed device synchronization functions required by multi-host system. Thus, it is a high performance serial bus. The IIC serial bus allows any one of the two IIC masters to be connected to a shared resource, and is widely applicable to computing, communications, and networking applications, from MP3 players to servers, to the benefit of manufacturers and end users. The PCA9541 chip can enable two IIC master devices to be connected with the same slave device under the condition that the two IIC master devices are not connected with each other, so that the complexity of design is simplified.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. An adaptive surveillance video detection platform, the platform comprising:
the first receiving mechanism is arranged at the video processing end and used for receiving a monitoring video, the monitoring video is composed of a plurality of video pictures corresponding to a plurality of different timestamps, the monitoring video also comprises accompanying sound information which is composed of a plurality of sections of accompanying sound signals, and each video picture corresponds to the accompanying sound signals of different sections;
the first detection mechanism is arranged at the video processing end, is connected with the first receiving mechanism and is used for receiving each video picture and the corresponding accompanying sound signal thereof and analyzing the default volume intensity level of the accompanying sound signal in the state of not manually tuning;
the first processing mechanism is arranged at a video processing end, is connected with the first detection mechanism and is used for finely adjusting the resolution of each video picture based on the default volume intensity level of the accompanying sound signal of each video picture so as to obtain the finely adjusted video picture;
the first sending mechanism is arranged at a video processing end, is connected with the first processing mechanism and is used for sending a plurality of fine-tuned video pictures corresponding to a plurality of different timestamps as part of contents of processed video data, and the first sending mechanism is also used for taking an audio signal corresponding to an original video picture of a monitoring video corresponding to each fine-tuned video picture as an audio signal of the fine-tuned video picture to be included in the processed video data for synchronous sending;
the second receiving mechanism is arranged at the video receiving end and used for receiving each finely-tuned video picture and corresponding audio signals in the processed video data;
the second detection mechanism is arranged at a video receiving end, is connected with the second receiving mechanism and is used for analyzing the default volume intensity level of each section of sound signal in the state of not manually tuning;
the second processing mechanism is arranged at a video receiving end, is connected with the second detection mechanism and is used for executing detection processing on whether the default volume intensity level of the sound signal corresponding to each fine-tuned video picture is matched with the resolution of each received fine-tuned video picture so as to send a picture unmodified signal when the two are matched with each other, or send a picture modified signal when the two are not matched with each other;
the fine-tuning the resolution of the video picture based on the default volume intensity level of the audio signal of each video picture to obtain a fine-tuned video picture comprises: the higher the default volume intensity level of the audio signal of each video picture is, the higher the resolution of the video picture is finely adjusted to obtain the finely adjusted resolution of the video picture.
2. The adaptive surveillance video detection platform of claim 1, wherein:
the fine-tuning the resolution of the video picture based on the default volume intensity level of the audio signal of each video picture to obtain a fine-tuned video picture comprises: the fine tuning range of the resolution is between the resolution of the surveillance video and twice the resolution of the surveillance video.
3. The adaptive surveillance video detection platform of claim 2, wherein:
executing detection processing on whether the default volume intensity level of the audio signal corresponding to each received fine-tuned video picture is matched with the default volume intensity level of the audio signal corresponding to the received fine-tuned video picture, wherein when the default volume intensity level of the audio signal is matched with the default volume intensity level of the audio signal, sending a picture unmodified signal comprises the following steps: and determining a default volume intensity level corresponding to the resolution of each fine-tuned video picture based on the multiple relation between the received resolution of each fine-tuned video picture and the resolution of the monitoring video, and sending a picture unmodified signal when the determined default volume intensity level is equal to the default volume intensity level of the accompanying sound signal corresponding to the fine-tuned video picture.
4. The adaptive surveillance video detection platform of claim 3, wherein:
the first detection mechanism is internally provided with a storage unit used for storing input data and output data of the first detection mechanism.
5. The adaptive surveillance video detection platform of claim 4, wherein:
the second detection mechanism is connected with the IIC control bus and used for receiving various control instructions sent by the IIC control bus.
6. The adaptive surveillance video detection platform of claim 5, wherein:
the first detection mechanism is also connected with a clock generator and used for receiving a timing signal customized for the first detection mechanism by the clock generator.
7. The adaptive surveillance video detection platform of claim 6, wherein:
the second detection mechanism is realized by adopting an ASIC chip, and the ASIC chip comprises an online programming interface;
wherein the first detection mechanism and the second detection mechanism are positioned on the same printed circuit board and share the same circuit supply equipment;
the second detection mechanism is also connected with a parallel data bus and used for receiving data from the parallel data bus and sending the data to the parallel data bus.
8. The adaptive surveillance video detection platform of claim 7, further comprising:
the hard disk device is used for storing various configuration parameters of the first detection mechanism and the second detection mechanism;
wherein, hard disk equipment adopts rubber to move away to avoid possible earthquakes, steel wire move away to avoid possible earthquakes or electron moves away to avoid possible earthquakes.
9. An adaptive surveillance video detection method, the method comprising detecting surveillance video picture data using an adaptive surveillance video detection platform according to any one of claims 1-8.
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| CN102118629B (en) * | 2011-03-30 | 2014-04-09 | 上海美琦浦悦通讯科技有限公司 | System and method for guaranteeing network video monitoring service quality based on monitoring platform |
| CN103079054A (en) * | 2012-12-30 | 2013-05-01 | 广东九联科技股份有限公司 | Video signal monitoring system and monitoring method |
| WO2015182751A1 (en) * | 2014-05-30 | 2015-12-03 | 株式会社日立国際電気 | Monitoring system and camera device |
| CN107967706B (en) * | 2017-11-27 | 2021-06-11 | 腾讯音乐娱乐科技（深圳）有限公司 | Multimedia data processing method and device and computer readable storage medium |
| CN111274578B (en) * | 2018-11-20 | 2023-08-29 | 慧盾信息安全科技（苏州）股份有限公司 | Data safety protection system and method for video monitoring system |
| CN110545444A (en) * | 2019-09-20 | 2019-12-06 | 北京市博汇科技股份有限公司 | tamper-proof monitoring method and system for IP video |
| CN111726569A (en) * | 2019-12-10 | 2020-09-29 | 李军 | Monitoring content replacement detection system and method |
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