CN114283496A - Intelligent camera module capable of preventing face overexposure - Google Patents
Intelligent camera module capable of preventing face overexposure Download PDFInfo
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- CN114283496A CN114283496A CN202111550413.3A CN202111550413A CN114283496A CN 114283496 A CN114283496 A CN 114283496A CN 202111550413 A CN202111550413 A CN 202111550413A CN 114283496 A CN114283496 A CN 114283496A
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Abstract
The invention is suitable for the field of computers, and provides an intelligent camera module for preventing face overexposure, which comprises: the capturing module is used for capturing contour images of continuous person motions in the video images; the detection module is used for carrying out periodic motion detection on the basis of the contour image of the continuous human body motion; the judging module is used for judging whether the person who moves periodically enters the designated area or not when the person in the contour image is detected to move periodically; the selective exposure module selects to expose and configure the outline image of the person when judging that the person in the periodic motion state enters the designated area, and the invention has the advantages that: the method has the advantages that better image quality can be guaranteed under the condition of weak light, and the face of the picture can be effectively seen without overexposure.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to an intelligent anti-face overexposure camera module.
Background
At present, main security products in the market expose through camera images and add auxiliary light in a low-light scene, and more or less problems can be caused in the security field, for example, people can cause face overexposure when approaching a camera, so that the face cannot be seen clearly, and the like, so that more manpower and material resources are spent for reprocessing in the follow-up process of calling video images.
The existing scheme has the following defects and problems: the face can not be seen clearly in the video monitoring image, and decisive help can not be played to the actual work after the video recording is called again. To solve this problem, the conventional method is to reduce the exposure of the camera image or reduce the brightness of the auxiliary light, for example, reduce the exposure of the camera image or reduce the brightness of the auxiliary light, so that the overall brightness of the image is also greatly reduced, and although the human face can be normally seen, the surrounding environment cannot be effectively monitored when no one is present.
Disclosure of Invention
An object of the embodiments of the present invention is to provide an intelligent camera module for preventing face overexposure, which aims to solve the problems in the background art.
The embodiment of the invention is realized in such a way that an intelligent camera module for preventing face overexposure comprises:
the capturing module is used for capturing contour images of continuous person motions in the video images;
the detection module is used for carrying out periodic motion detection on the basis of the contour image of the continuous human body motion;
the judging module is used for judging whether the person who moves periodically enters the designated area or not when the person in the contour image is detected to move periodically;
and the selective exposure module is used for selecting exposure configuration of the outline image of the person when judging that the person in the periodic motion state enters the designated area.
As a further aspect of the present invention, the capturing module includes:
the acquisition submodule is used for acquiring a video image in real time and intercepting the video image with characters;
the framing submodule is used for framing the video image with the character;
the matching submodule is used for matching a sequence for the video image subjected to framing processing to obtain a sequence framing video image;
and the difference acquisition submodule is used for carrying out difference on two adjacent frames in the sequence framing video image to obtain the contour image of continuous character motion.
As still further aspect of the present invention, the detection module includes:
the decomposition submodule is used for decomposing the contour image of the continuous character motion into a motion history image and a motion energy image;
the establishing submodule is used for establishing a human motion model related to the motion history image and the motion energy image;
and the detection submodule is used for inputting the motion history image and the motion energy image into the human motion model for detection and judging whether the figure in the contour image is in a periodic motion state or not.
As a still further aspect of the present invention, the determining module includes:
the characteristic information acquisition submodule is used for acquiring characteristic information of a specified area, and the characteristic information at least comprises a characteristic identification building;
setting a sub-module, and setting the contour image of the corresponding continuous character motion as a target image when the character in the contour image shows a periodic motion state;
and the judging submodule is used for judging whether the person in the target image is in the preset range of the distance characteristic identification building.
As a further aspect of the present invention, the selective exposure module includes:
the capturing sub-module is used for limiting the person in the target image to enter a specified area and capturing the moving range of the target person in a set time period when the person in the target image is within a preset range of the distance feature recognition building;
and the exposure sub-module is used for exposing the image where the target person is captured within the set time period.
As a further aspect of the present invention, the module further includes a power supply module, and the power supply module includes:
the voltage stabilizing submodule is used for stabilizing the voltage of the input power supply;
and the conversion submodule is used for converting the voltage subjected to voltage stabilization into usable voltage and supplying power to the module.
As a further aspect of the present invention, the lighting device further includes an auxiliary lighting module, wherein the auxiliary lighting module includes:
the receiving submodule is used for receiving an exposure instruction of the selective exposure module;
and the light starting submodule is used for starting auxiliary light through the connecting lamp panel interface based on the exposure instruction.
The intelligent face overexposure prevention camera module provided by the embodiment of the invention ensures better image quality under the condition of weak light, can effectively see the face of a picture without overexposure, avoids the problem that the face cannot be seen due to the fact that the brightness of the camera is overexposed due to image exposure and auxiliary light, and also can give consideration to video monitoring when no person exists, so that the monitoring effect is optimal, and the actual application requirements of various occasions are met.
Drawings
Fig. 1 is a schematic diagram of a main structure of an intelligent face overexposure prevention camera module.
Fig. 2 is a schematic diagram of a capture module in an intelligent anti-face overexposure camera module.
Fig. 3 is a schematic structural diagram of a detection module in an intelligent anti-face overexposure camera module.
Fig. 4 is a schematic structural diagram of a judgment module in the intelligent anti-face overexposure camera module.
Fig. 5 is a schematic structural diagram of a selective exposure module in an intelligent anti-face overexposure camera module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Specific implementations of the present invention are described in detail below with reference to specific embodiments.
The invention provides an intelligent camera module for preventing face overexposure, which solves the technical problem in the background technology.
As shown in fig. 1, a schematic diagram of a main structure of an intelligent anti-face overexposure camera module according to an embodiment of the present invention is provided, where the intelligent anti-face overexposure camera module includes:
a capturing module 100, configured to capture contour images of continuous person motions in the video images;
the detection module 200 is used for carrying out periodic motion detection based on the contour image of the continuous human body motion;
the judging module 300 is used for judging whether the person who moves periodically enters the designated area or not when the person in the outline image is detected to move periodically;
the selective exposure module 400 selects to expose and configure the outline image of the person when the person in the periodic motion state is judged to enter the designated area.
When the implementation is applied, the contour image of continuous character motion in a video image is captured through the setting of the capture module 100 and the like, periodic motion detection is carried out on the contour image of continuous human motion, when the character in the contour image is detected to be in a periodic motion state, whether the character in the periodic motion state enters a designated area is judged, when the character in the periodic motion state enters the designated area is judged, exposure configuration is selected to be carried out on the contour image of the character, because the posture of the character is changed periodically when the character walks stably, the existence of the human body is detected by utilizing the characteristic to judge whether the character is a real motion character, and further the alarm can be conveniently carried out, intelligent human shape detection is to detect a human-shaped object for analyzing a picture, and other moving objects (such as branch shake, animal walking, light change and the like) are filtered to generate effective targeted alarm, the interference generated by other moving objects is avoided, and the misjudgment is prevented.
As shown in fig. 2, as a preferred embodiment of the present invention, the capture module 100 includes:
the acquisition submodule 101 is used for acquiring a video image in real time and intercepting the video image with a person;
the framing submodule 102 is used for framing the video image with the person;
the matching submodule 103 is used for matching a sequence for the video image subjected to framing processing to obtain a sequence framing video image;
and the difference acquisition submodule 104 is configured to perform difference based on two adjacent frames in the sequence framed video image to obtain a contour image of continuous person motion.
As shown in fig. 3, as a preferred embodiment of the present invention, the detection module 200 includes:
a decomposition sub-module 201 for decomposing the contour image of the continuous character motion into a motion history image and a motion energy image;
an establishing sub-module 202 for establishing a human motion model associated with the motion history image and the motion energy image;
and the detection submodule 203 is used for inputting the motion history image and the motion energy image into the human motion model for detection, and judging whether the person in the contour image is in a periodic motion state or not.
When the method is applied, the contour of a moving target is obtained by differentiating two adjacent frames in a video image sequence by adopting an image inter-frame difference method, a series of contour images for describing human body movement are obtained, the contour images are described by using movement history images and movement energy images, a human body model is firstly established, and then the movement mode is detected based on the human body model.
As shown in fig. 4, as another preferred embodiment of the present invention, the determining module 300 includes:
a feature information obtaining sub-module 301, configured to obtain feature information of a specified area, where the feature information at least includes a feature identification building;
a setting sub-module 302, which sets the contour image of the corresponding continuous character motion as the target image when the character in the contour image shows a periodic motion state;
and the judging submodule 303 is configured to judge whether a person in the target image is within a preset range from the feature recognition building.
As shown in fig. 5, as another preferred embodiment of the present invention, the selective exposure module 400 includes:
the capturing sub-module 401 is configured to define that a person in the target image enters a specified area and capture an activity range of the target person within a set time period when the person in the target image is within a preset range from the feature recognition building;
the exposure sub-module 402 is configured to expose an image in which the target person is captured within a set time period.
When the video monitoring system is applied, after a person enters a designated area, the person is intelligently detected to enter, the image obtained from the image sensor is processed through the ISP to carry out image exposure configuration, the image exposure is suppressed, so that the video monitoring image can be effectively ensured to clearly see the face, but when no person exists in the designated area, the image exposure configuration is recovered, the surrounding environment is effectively monitored, and the best video monitoring effect is realized.
As another preferred embodiment of the present invention, the module further includes a power supply module 500, and the power supply module 500 includes:
the voltage stabilizing sub-module 501 is configured to perform voltage stabilizing processing on the voltage of the input power supply;
the converting submodule 502 is configured to convert the voltage subjected to the voltage stabilization processing into a usable voltage, and supply power to the module.
As another preferred embodiment of the present invention, the module further includes an auxiliary light module 600, and the auxiliary light module 600 includes:
a receiving sub-module 601, configured to receive an exposure instruction of the selective exposure module 400;
and the light starting submodule 602 is used for starting auxiliary light through the connecting lamp panel interface based on the exposure instruction.
The intelligent anti-human face overexposure camera module provided by the above embodiment of the invention captures the contour image of continuous human motion in the video image through the arrangement of the capture module 100 and the like, performs periodic motion detection based on the contour image of continuous human motion, determines whether the human with periodic motion enters the designated area when detecting that the human in the contour image is in a periodic motion state, determines whether the human with periodic motion enters the designated area when determining that the human with periodic motion state enters the designated area, selects exposure configuration for the contour image of the human, detects the existence of human body by using the characteristic because the human is in stable walking and the posture is in periodic change, so as to determine whether the human body is a real motion human, thereby being convenient for alarming, detects the human-shaped object of the picture by intelligent human-shaped detection, filters other moving objects (such as branch shaking, the animal walks about, light changes etc.), has avoided the produced interference of other moving objects, prevent misjudgement, adopt above-mentioned scheme, guarantee to have better image quality under the low light condition, can effectively see picture people's face and not overexposure, avoided because camera image exposure and supplementary light lead to luminance overexposure and can't see people's face clearly, and can also compromise the video monitoring when nobody, make monitoring effect best, in order to satisfy the actual application demand of various occasions.
In order to load the above method and system to operate successfully, the system may include more or less components than those described above, or combine some components, or different components, in addition to the various modules described above, for example, input/output devices, network access devices, buses, processors, memories, and the like.
The processor may be a Central Processing Unit (CPU), other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that is the control center for the system and that connects the various components using various interfaces and lines.
The memory may be used to store computer and system programs and/or modules, and the processor may perform the various functions described above by operating or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a program storage area and a data storage area, where the program storage area may store an operating system, an application program required by at least one function (such as an information collection template presentation function, a product information distribution function, and the like), and the like. The storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid state storage device.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (7)
1. The utility model provides a face overexposure camera module is prevented to intelligence which characterized in that includes:
the capturing module is used for capturing contour images of continuous person motions in the video images;
the detection module is used for carrying out periodic motion detection on the basis of the contour image of the continuous human body motion;
the judging module is used for judging whether the person who moves periodically enters the designated area or not when the person in the contour image is detected to move periodically;
and the selective exposure module is used for selecting exposure configuration of the outline image of the person when judging that the person in the periodic motion state enters the designated area.
2. The intelligent anti-face overexposure camera module of claim 1, wherein the capture module comprises:
the acquisition submodule is used for acquiring a video image in real time and intercepting the video image with characters;
the framing submodule is used for framing the video image with the character;
the matching submodule is used for matching a sequence for the video image subjected to framing processing to obtain a sequence framing video image;
and the difference acquisition submodule is used for carrying out difference on two adjacent frames in the sequence framing video image to obtain the contour image of continuous character motion.
3. The intelligent face overexposure prevention camera module of claim 1, wherein the detection module comprises:
the decomposition submodule is used for decomposing the contour image of the continuous character motion into a motion history image and a motion energy image;
the establishing submodule is used for establishing a human motion model related to the motion history image and the motion energy image;
and the detection submodule is used for inputting the motion history image and the motion energy image into the human motion model for detection and judging whether the figure in the contour image is in a periodic motion state or not.
4. The intelligent face overexposure prevention camera module of claim 2, wherein the judgment module comprises:
the characteristic information acquisition submodule is used for acquiring characteristic information of a specified area, and the characteristic information at least comprises a characteristic identification building;
setting a sub-module, and setting the contour image of the corresponding continuous character motion as a target image when the character in the contour image shows a periodic motion state;
and the judging submodule is used for judging whether the person in the target image is in the preset range of the distance characteristic identification building.
5. The intelligent face overexposure prevention camera module of claim 4, wherein the selective exposure module comprises:
the capturing sub-module is used for limiting the person in the target image to enter a specified area and capturing the moving range of the target person in a set time period when the person in the target image is within a preset range of the distance feature recognition building;
and the exposure sub-module is used for exposing the image where the target person is captured within the set time period.
6. The intelligent face overexposure prevention camera module according to any one of claims 1-5, wherein the module further comprises a power supply module, the power supply module comprising:
the voltage stabilizing submodule is used for stabilizing the voltage of the input power supply;
and the conversion submodule is used for converting the voltage subjected to voltage stabilization into a usable voltage.
7. The intelligent face overexposure prevention camera module according to any one of claims 1-5, wherein the module further comprises the auxiliary light module, the auxiliary light module comprising:
the receiving submodule is used for receiving an exposure instruction of the selective exposure module;
and the light starting submodule is used for starting auxiliary light through the connecting lamp panel interface based on the exposure instruction.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116030388A (en) * | 2022-12-30 | 2023-04-28 | 以萨技术股份有限公司 | Processing method for identifying task, electronic equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116030388A (en) * | 2022-12-30 | 2023-04-28 | 以萨技术股份有限公司 | Processing method for identifying task, electronic equipment and storage medium |
| CN116030388B (en) * | 2022-12-30 | 2023-08-11 | 以萨技术股份有限公司 | Processing method for identifying task, electronic equipment and storage medium |
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