CN114173064B - Multiple exposure method and device and electronic equipment - Google Patents

Multiple exposure method and device and electronic equipment Download PDF

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Publication number
CN114173064B
CN114173064B CN202111488986.8A CN202111488986A CN114173064B CN 114173064 B CN114173064 B CN 114173064B CN 202111488986 A CN202111488986 A CN 202111488986A CN 114173064 B CN114173064 B CN 114173064B
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scene
video
video channel
exposure
video stream
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CN114173064A (en
Inventor
韩强
薛超
王宁
任少卿
左辰龙
石行
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Tiandy Technologies Co Ltd
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Tiandy Technologies Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/73Circuitry for compensating brightness variation in the scene by influencing the exposure time
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Studio Devices (AREA)

Abstract

The invention provides a multiple exposure method, a multiple exposure device and electronic equipment, belongs to the technical field of monitoring equipment, and solves the technical problem that the existing monitoring equipment cannot simultaneously monitor people and vehicles. A multiple exposure method applied to a monitoring apparatus, the method comprising: acquiring a first video stream through a first video channel, and performing scene analysis on the first video stream; if the video is a man-car scene, setting a second video channel to be in a long-short alternative exposure mode; if the scene is a human scene, setting the second video channel to a long exposure mode; and acquiring a second video stream through a second video channel.

Description

Multiple exposure method and device and electronic equipment
Technical Field
The present invention relates to the field of monitoring devices, and in particular, to a multiple exposure method, apparatus, and electronic device.
Background
Along with the intellectualization of the monitoring equipment, the method is increasingly applied to the field of road traffic, and powerful support is provided for the safety management of road traffic.
The monitoring cameras on the current road have different functional emphasis points and different exposure modes. The sensor for monitoring has long exposure time and bright picture, but the license plate is easy to overexposure; the sensor has short exposure time and clear license plate, is used for vehicle snapshot, but has dark pictures, and cannot see pedestrians and surrounding environments clearly. If the fusion is performed in a wide dynamic mode, there is displacement between the vehicle and the pedestrian, resulting in poor image quality.
Therefore, the existing monitoring equipment has the technical problem that simultaneous monitoring of people and vehicles cannot be considered.
Disclosure of Invention
The invention aims to provide a multiple exposure method, a multiple exposure device and electronic equipment, so as to solve the technical problem that the existing monitoring equipment cannot simultaneously monitor people and vehicles.
In a first aspect, the present invention provides a multiple exposure method applied to a monitoring device, where the method includes:
acquiring a first video stream through a first video channel, and performing scene analysis on the first video stream;
if the video is a man-car scene, setting a second video channel to be in a long-short alternative exposure mode;
if the scene is a human scene, setting the second video channel to a long exposure mode;
and acquiring a second video stream through a second video channel.
In one possible implementation manner, the step of acquiring the first video stream through the first video channel and performing scene analysis on the first video stream includes:
judging whether a vehicle exists in the first video stream or not in real time through a vehicle detection algorithm;
if yes, the scene is a man-vehicle scene;
if not, the scene is the person scene.
In one possible embodiment, the vehicle detection algorithm is generated by a YOLO deep learning algorithm.
In one possible implementation, the first video channel is in a long exposure mode.
In one possible implementation, the step of setting the second video channel to the alternate long and short exposure mode includes;
setting a second video channel as a long-short alternative exposure mode, and recording the exposure type of each frame of image;
the step of setting the second video channel to a long exposure mode includes:
the second video channel is set to a long exposure mode, and the exposure type of each frame image is recorded.
In one possible implementation manner, after the step of obtaining the second video stream through the second video channel, the method further includes:
analyzing the short exposure type image in the second video stream by adopting a license plate detection algorithm;
and analyzing the long exposure type images in the second video stream by adopting a face recognition algorithm.
In one possible implementation, the initial exposure mode of the second video channel is short exposure.
In a second aspect, the present invention also provides a multiple exposure apparatus comprising:
and a judging module: the method comprises the steps of obtaining a first video stream through a first video channel, and performing scene analysis on the first video stream;
a man-vehicle scene module: the method comprises the steps of setting a second video channel to be in a long-short alternate exposure mode for a person parking lot Jing Shi;
and a human scene module: when the video camera is used for a human scene, setting a second video channel to be in a long exposure mode;
the acquisition module is used for: for obtaining a second video stream via a second video channel.
In a third aspect, the present invention also provides an electronic device comprising a memory, a processor, the memory storing a computer program executable on the processor, the processor implementing the steps of the method provided in the first aspect when executing the computer program.
In a fourth aspect, the present invention also provides a computer readable storage medium storing machine-executable instructions which, when invoked and executed by a processor, cause the processor to perform the method provided by the first aspect.
The invention provides a multiple exposure method, which is applied to monitoring equipment and comprises the following steps: acquiring a first video stream through a first video channel, and performing scene analysis on the first video stream; if the video is a man-car scene, setting a second video channel to be in a long-short alternative exposure mode; if the scene is a human scene, setting the second video channel to a long exposure mode; and acquiring a second video stream through a second video channel.
By adopting the multiple exposure method provided by the invention, the scene analysis is carried out on the first video stream, the exposure mode of the second video channel is set according to the scene analysis result, the second video channel is set to be in the alternate exposure mode under the scene of the person, and the situation that the license plate is easy to overexposure or the face is too dark is avoided by adopting the alternate exposure mode, so that the second video stream can simultaneously take into account the monitoring requirements of the scene of the person and the car; setting a second video channel to be in a long exposure mode under a human scene, wherein the long exposure mode is adopted to enable the brightness of a picture to be higher and the shooting of the human scene to be clearer; the problem that monitoring equipment cannot monitor people and vehicles simultaneously is effectively solved, and the monitoring effect is improved.
Accordingly, the multiple exposure device, the electronic device and the computer readable storage medium provided by the invention have the technical effects as well.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a multiple exposure method according to an embodiment of the present invention;
FIG. 2 is a detailed flowchart of a multiple exposure method S1 according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a multiple exposure apparatus according to an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms "comprising" and "having" and any variations thereof, as used in the embodiments of the present invention, are intended to cover non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
The monitoring cameras on the current road have different functional emphasis points and different exposure modes. The sensor for monitoring has long exposure time and bright picture, but the license plate is easy to overexposure; the sensor has short exposure time and clear license plate, is used for vehicle snapshot, but has dark pictures, and cannot see pedestrians and surrounding environments clearly. If the fusion is performed in a wide dynamic mode, there is displacement between the vehicle and the pedestrian, resulting in poor image quality.
Therefore, the existing monitoring equipment has the technical problem that simultaneous monitoring of people and vehicles cannot be considered.
In order to solve the above problems, embodiments of the present invention provide a multiple exposure method.
As shown in fig. 1, an embodiment of the present invention provides a multiple exposure method, applied to a monitoring device, including:
s1: and acquiring a first video stream through the first video channel, and performing scene analysis on the first video stream.
S2A: and if the video is a man-car scene, setting the second video channel to be in a long-short alternate exposure mode.
S2B: if the scene is human, the second video channel is set to a long exposure mode.
S3: and acquiring a second video stream through a second video channel.
By adopting the multiple exposure method provided by the embodiment of the invention, the scene analysis is carried out on the first video stream, the exposure mode of the second video channel is set according to the scene analysis result, the second video channel is set to be a long-short alternative exposure mode under the scene of a person, and the situation that the license plate is easy to overexposure or the face is too dark is avoided by adopting the long-short alternative exposure mode, so that the second video stream can simultaneously take into consideration the monitoring requirements of the scene of the person and the vehicle; setting a second video channel to be in a long exposure mode under a human scene, wherein the long exposure mode is adopted to enable the brightness of a picture to be higher and the shooting of the human scene to be clearer; the problem that monitoring equipment cannot monitor people and vehicles simultaneously is effectively solved, and the monitoring effect is improved.
As shown in fig. 2, in one possible embodiment, the step of S1 includes:
and judging whether the vehicle exists in the first video stream in real time through a vehicle detection algorithm. If yes, the scene is a man-vehicle scene; if not, the scene is the person scene.
And detecting the first video stream in real time, judging whether a vehicle exists or not, if the vehicle is detected, judging the first video stream as a human-vehicle scene, and if the vehicle is not detected, judging the first video stream as the human-vehicle scene. The first video stream is used as an object of scene analysis, so that the second video channel can be set to be in the most applicable exposure mode according to the scene analysis result.
In one possible implementation, the vehicle detection algorithm is generated by a YOLO (You Only Look Once) deep learning algorithm, YOLO is a network for object detection, and the object detection task includes determining where certain objects are present in the image, and classifying the objects. Previous methods use a pipeline to perform this task in multiple steps, resulting in slow running and difficult optimization because each individual component must be trained separately, YOLO can be formulated using only one neural network, and the YOLO deep learning algorithm has the advantage of fast target detection speed.
In one possible implementation, the first video channel is in a long exposure mode. The first video channel keeps a long exposure mode, the brightness of the picture is higher, and the analysis of the scene of the first video stream is facilitated.
In one possible embodiment, the step of setting the second video channel to an alternate long and short exposure mode includes;
S2A1: the second video channel is set to the alternate long and short exposure mode, and the exposure type of each frame image is recorded.
In one possible implementation, the step of setting the second video channel to a long exposure mode includes.
S2B1: the second video channel is set to a long exposure mode, and the exposure type of each frame image is recorded.
After the second video stream is acquired, different algorithm analysis needs to be performed on the long exposure image and the short exposure image respectively, so that the exposure type of each frame of image is recorded in the frame information, and the second video stream can be conveniently and correctly distinguished when being analyzed.
In one possible implementation manner, after the step of obtaining the second video stream through the second video channel, the method further includes:
S4A, analyzing the short exposure type image in the second video stream by adopting a license plate detection algorithm.
And S4B, analyzing the long exposure type image in the second video stream by adopting a face recognition algorithm.
The short exposure image has high picture brightness and is suitable for analyzing human scenes, so that the short exposure image carries out a face recognition algorithm; the long exposure image has low picture brightness and is suitable for license plate analysis, so that the long exposure image carries out a license plate detection algorithm.
In one possible implementation, the initial exposure mode of the second video channel is a short exposure.
As shown in fig. 3, an embodiment of the present invention further provides a multiple exposure apparatus, including:
judgment module 1: the method comprises the steps of obtaining a first video stream through a first video channel, and performing scene analysis on the first video stream;
the scene module 2: the method comprises the steps of setting a second video channel to be in a long-short alternate exposure mode for a person parking lot Jing Shi;
human scene module 3: when the video camera is used for a human scene, setting a second video channel to be in a long exposure mode;
acquisition module 4: for obtaining a second video stream via a second video channel.
The embodiment of the invention also provides electronic equipment, which comprises a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor realizes the steps of the method provided by the embodiment when executing the computer program.
Embodiments of the present invention also provide a computer-readable storage medium storing machine-executable instructions that, when invoked and executed by a processor, cause the processor to perform the method provided by the above embodiments.
The multiple exposure device, the electronic device and the computer readable storage medium provided by the embodiment of the invention have the same technical characteristics as the multiple exposure method provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The device provided by the embodiment of the invention can be specific hardware on the equipment or software or firmware installed on the equipment. The device provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiment, and for the sake of brevity, reference may be made to the corresponding content in the foregoing method embodiment where the device embodiment is not mentioned. It will be clear to those skilled in the art that, for convenience and brevity, the specific operation of the system, apparatus and unit described above may refer to the corresponding process in the above method embodiment, which is not described in detail herein.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As another example, the division of the units is merely a logical function division, and there may be another division manner when actually implemented, and for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments provided in the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It should be noted that: like reference numerals and letters in the following figures denote like items, and thus once an item is defined in one figure, no further definition or explanation of it is required in the following figures, and furthermore, the terms "first," "second," "third," etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit of the corresponding technical solutions. Are intended to be encompassed within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims (10)

1. A multiple exposure method for use in a monitoring device, the method comprising:
acquiring a first video stream through a first video channel, and performing scene analysis on the first video stream;
if the video is a man-car scene, setting a second video channel to be in a long-short alternative exposure mode;
if the scene is a human scene, setting the second video channel to a long exposure mode;
and acquiring a second video stream through a second video channel.
2. The multiple exposure method according to claim 1, wherein the step of acquiring the first video stream through the first video channel and performing scene analysis on the first video stream includes:
judging whether a vehicle exists in the first video stream or not in real time through a vehicle detection algorithm;
if yes, the scene is a man-vehicle scene;
if not, the scene is the person scene.
3. The multiple exposure method according to claim 2, wherein the vehicle detection amount is generated by a YOLO deep learning algorithm.
4. The multiple exposure method according to claim 1, wherein the first video channel is in a long exposure mode.
5. The multiple exposure method according to claim 1, wherein the step of setting the second video channel to the alternate-length exposure mode includes;
setting a second video channel as a long-short alternative exposure mode, and recording the exposure type of each frame of image;
the step of setting the second video channel to a long exposure mode includes:
the second video channel is set to a long exposure mode, and the exposure type of each frame image is recorded.
6. The multiple exposure method according to claim 5, further comprising, after the step of acquiring the second video stream through the second video channel:
analyzing the short exposure type image in the second video stream by adopting a license plate detection algorithm;
and analyzing the long exposure type images in the second video stream by adopting a face recognition algorithm.
7. The multiple exposure method according to claim 1, wherein the initial exposure mode of the second video channel is short exposure.
8. A multiple exposure apparatus, comprising:
and a judging module: the method comprises the steps of obtaining a first video stream through a first video channel, and performing scene analysis on the first video stream;
a man-vehicle scene module: the method comprises the steps of setting a second video channel to be in a long-short alternate exposure mode for a person parking lot Jing Shi;
and a human scene module: when the video camera is used for a human scene, setting a second video channel to be in a long exposure mode;
the acquisition module is used for: for obtaining a second video stream via a second video channel.
9. An electronic device comprising a memory, a processor, the memory having stored therein a computer program executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the method of any of the preceding claims 1 to 7.
10. A computer readable storage medium storing machine executable instructions which, when invoked and executed by a processor, cause the processor to perform the method of any one of claims 1 to 7.
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