CN114466168A - Building indoor video monitoring system - Google Patents
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- CN114466168A CN114466168A CN202210133767.6A CN202210133767A CN114466168A CN 114466168 A CN114466168 A CN 114466168A CN 202210133767 A CN202210133767 A CN 202210133767A CN 114466168 A CN114466168 A CN 114466168A
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- H—ELECTRICITY
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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Abstract
The invention discloses a building indoor video monitoring system, which comprises a video acquisition unit, a primary analysis unit, two monitoring units, a processor, a storage library, an early warning rule library, a display unit and a management unit, wherein the video acquisition unit is used for acquiring a video; the method comprises the steps that an outdoor real-time image is obtained in real time through a video obtaining unit and is marked as an outdoor image; then, obtaining outdoor images, intention numbers Yi, odd number Di and corresponding intention faces in all Di ranges by analyzing through a primary analysis unit; then, performing conversion analysis by using a second monitoring unit and a processor to obtain a nuclear-to-conversion value H; the conversion value is analyzed through past data, the predicted value is reasonably obtained through the conversion value, whether staff need to be reminded to pay attention to coordination or not is selected according to the predicted value, and the number of people about to enter the building room is accurately predicted. The invention is simple, effective and easy to use.
Description
Technical Field
The invention belongs to the field of video monitoring, and particularly relates to a building indoor video monitoring system.
Background
The monitoring system has been widely used, at present, most of the monitoring equipment in the market monitors 24 hours all day long, and a monitor can actively control the monitoring camera to monitor according to the will of the monitor.
Chinese patent publication No. CN101720031A discloses an indoor video monitoring and alarming method based on a difference method, which includes first collecting an image in a normal state as a background image; then, shooting an image at intervals, and calculating the absolute value of the difference between the pixel values of corresponding points of the image and the background image to obtain a difference image; scanning each pixel point of the differential image, if the pixel value of a certain pixel point is greater than 0, indicating that the pixel value of the certain pixel point is significantly changed compared with the pixel value of the corresponding point in the background image, and if the total number n of the changed pixel points is greater than or equal to a preset threshold value K, indicating that the indoor condition is abnormal at the moment without the need of constantly paying attention to a screen by a user. For example, chinese patent CN203942603U discloses an indoor video monitoring device with active early warning, and chinese patent CN107135378A discloses a video monitoring system, which provide technical support for indoor safety monitoring.
For example, chinese patent CN108900812A discloses an indoor video monitoring method based on remote control, chinese patent CN210168132U discloses a video monitoring system accessing to the internet of things, and the like, which can provide early warning information for users in time, but cannot solve the problem of accurately predicting the number of people entering a building.
Disclosure of Invention
The invention aims to provide a building indoor video monitoring system.
The purpose of the invention can be realized by the following technical scheme:
a building indoor video monitoring system comprises a video acquisition unit, a primary analysis unit, two monitoring units, a processor, a storage library, an early warning rule library, a display unit and a management unit;
the video acquisition unit is monitoring camera equipment arranged outside a building and used for acquiring real-time outdoor images in real time and marking the real-time outdoor images as outdoor images; the video acquisition unit is used for transmitting the outdoor image to the preliminary analysis unit;
the preliminary analysis unit receives the outdoor image transmitted by the video acquisition unit, and performs forward data analysis on the outdoor image, wherein the forward data analysis has the specific mode that:
the method comprises the following steps: the current time is counted, the inertia time is pushed forward, the inertia time is preset by a manager, and usually, a half year or other better-calculated time meter is selected;
step two: taking the time of one day as a single meter, acquiring the number of all persons passing through the outdoor of the building on a single day, and marking the number as singular Di, i being 1.. n; marking the time of the corresponding single day as Ui, i ═ 1.. n;
step three: then, setting i to 1, acquiring the outdoor image corresponding to the day, and carrying out intention analysis on the outdoor image of the day to obtain the number of intention targets, namely intention number Y1 and intention faces;
step four: repeatedly adding one to the value i, and repeating the third step to obtain the intention number and intention face corresponding to all Di; label it as Yi, i 1.. n; yi is in one-to-one correspondence with Di and Ui;
the preliminary analysis unit is used for transmitting outdoor images, intention numbers Yi, odd number Di and corresponding intention faces in all Di ranges to the processor;
the system comprises two monitoring units, a processor and a kernel-direction conversion unit, wherein the two monitoring units are arranged in a building room and used for acquiring images of all people entering the building room and marking the images as indoor images, the two monitoring units are used for transmitting the indoor images to the processor, and the processor receives the indoor images transmitted by the two monitoring units and performs conversion analysis to obtain a kernel-direction conversion value H;
the preliminary analysis unit is further used for acquiring the number of the intentions in real time and transmitting the number of the intentions to the processor, and the processor is used for multiplying the number of the intentions by the conversion value H to obtain a predicted value.
Further, the specific way of intent analysis in step three is:
s1: acquiring a corresponding outdoor image;
s2: then acquiring a first person entering the building outdoor monitoring area, and marking the first person as a single label;
s3: acquiring a foot rear point of the left foot of the single object, determining that the foot rear point is against the back of the sticker, gradually sticking the single object forward from the back of the single object by using the back of the sticker, and marking the position which initially contacts the left foot as the foot rear point;
s4: then, acquiring a right foot rear point of the single item by using the same principle of the step S3, and marking the right foot rear point as a foot rear point II;
s5: then, obtaining the forefoot point of the left foot;
connecting the forefoot point and the rearfoot point to obtain a left line;
s6: acquiring a forefoot point of the right foot according to the mode of the step S5, marking the forefoot point as a second forefoot point, and connecting the second forefoot point and the second rearfoot point to obtain a right line;
s7: marking an acute angle area formed by the left line and the right line as a marked orientation area;
s8: acquiring the position of an entrance in a building room, and continuously observing the T1 time and the T1 preset value of the orientation zone of the single target;
s9: when the intersection of the facing area and the entrance of the building room within the T1 time exceeds alpha degrees, the intersection is expressed as intention, the intention time is obtained, alpha is a preset value, the intention time is divided by T1, the obtained value is marked as an intention ratio, and when the intention ratio exceeds X1, the single icon is marked as the intention; acquiring an intention target face, and marking the intention target face as an intention face;
s10: the same judgment of the steps S2-S10 is carried out on all persons of the outdoor images, and then all intention targets are obtained; synchronously acquiring all intention faces;
s11: the number of people who receive the intent, which is labeled as intent number Y1.
Further, the tab back side in step S3 is the plane of the largest area on which the back is located and all planes parallel thereto, and is determined in this manner.
Further, the forefoot point obtaining mode in step S5 is to obtain the arch of the left foot, obtain the toe front point of the third toe, where the toe front point is the foremost point of the toe, connect the arch of the foot and the toe front point to obtain a target line;
the target line is merged parallel to the hindfoot point of the left foot, and the most anterior point of the left foot is then marked as the forefoot point.
Further, the transformation analysis is specifically as follows:
SS 1: acquiring an indoor image corresponding to the day of Di according to the timestamp;
SS 2: comparing the indoor image with the outdoor image to obtain a face with the indoor image consistent with the outdoor image, and marking the consistent face as the number of people entering the room; the method comprises the steps of obtaining the face of the number of people entering the system and marking the face as the entering face;
SS 3: the method comprises the steps of enabling i to be 1, obtaining an entering face corresponding to the single day of U1, comparing the entering face with an intention face corresponding to the day of D1, marking the consistent entering face as a conversion face, and dividing the conversion face by the intention face to obtain a conversion ratio;
SS 4: repeatedly adding one to the value of i, and repeating the step SS3 to obtain the conversion ratio of all Ui, and marking the conversion ratio as Zi; zi and Ui are in one-to-one correspondence;
SS 5: then, automatically calculating to obtain a mean value of Zi, and marking the mean value as P; and then automatically calculating the deviation value L by using a formula, wherein the specific calculation formula is as follows:
SS 6: when L exceeds X2, generating a nuclear subtraction signal, sequentially deleting Zi values according to the sequence of Zi-P from large to small when generating the nuclear subtraction signal, and repeating the step SS5 once to calculate L when deleting each Zi;
SS 7: the decision of step SS6 is repeated until no coring signal is generated, and the mean of the remaining Zi is calculated and labeled as the kernel-to-translation value H.
Further, the processor is used for carrying out early warning analysis on the predicted value by combining with the early warning rule base, and the specific mode of the early warning analysis is as follows:
when the predicted value exceeds X3, generating an early warning signal; x3 is a predetermined value;
the processor is used for displaying 'excessive current people number and please pay attention to coordination' in real time through the display unit when the early warning signal is generated;
the processor is used for transmitting the nuclear conversion value H and the predicted value to the display unit for real-time display; and the processor is used for transmitting the core-to-core conversion value H and the predicted value to the storage library for real-time storage and covering the original numerical value.
Further, the management unit is in communication connection with the processor and is used for recording all preset values.
Further, the video acquisition unit, the preliminary analysis unit and the binomial monitoring unit perform the prediction process of the conversion value H and the prediction value once every fixed period.
The invention has the beneficial effects that:
the method comprises the steps that an outdoor real-time image is obtained in real time through a video obtaining unit and is marked as an outdoor image; then, obtaining outdoor images, intention numbers Yi, odd number Di and corresponding intention faces in all Di ranges by analyzing through a primary analysis unit; then, performing conversion analysis by using a second monitoring unit and a processor to obtain a nuclear-to-conversion value H; the conversion value is analyzed through past data, the predicted value is reasonably obtained through the conversion value, whether staff need to be reminded to pay attention to coordination or not is selected according to the predicted value, and the number of people about to enter the building room is accurately predicted. The invention is simple, effective and easy to use.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a system block diagram of a building indoor video monitoring system according to the present invention.
Detailed Description
As shown in fig. 1, a building indoor video monitoring system includes a video acquisition unit, a preliminary analysis unit, two monitoring units, a processor, a storage library, an early warning rule library, a display unit and a management unit;
the video acquisition unit is monitoring camera equipment arranged outside a building and used for acquiring real-time outdoor images in real time and marking the real-time outdoor images as outdoor images; the video acquisition unit is used for transmitting the outdoor image to the preliminary analysis unit;
the preliminary analysis unit receives the outdoor image transmitted by the video acquisition unit, and performs forward data analysis on the outdoor image, wherein the forward data analysis has the specific mode that:
the method comprises the following steps: the current time is counted, the inertia time is pushed forward, the inertia time is preset by a manager, and usually, a half-year or other time meter with better calculation is selected;
step two: taking the time of one day as a single meter, acquiring the number of all persons passing through the outdoor of the building on a single day, and marking the number as singular Di, i being 1.. n; marking the time of the corresponding single day as Ui, i ═ 1.. n; the technology is the prior art, and can be easily realized by a person skilled in the art, so the detailed description is omitted;
step three: and then, setting i to be 1, acquiring the outdoor image corresponding to the day, and carrying out intention analysis on the outdoor image of the day, wherein the specific mode of the intention analysis is as follows:
s1: acquiring a corresponding outdoor image;
s2: then acquiring a first person entering the building outdoor monitoring area, and marking the first person as a single label;
s3: acquiring a foot rear point of the left foot of the single object, determining that the foot rear point is against the back of the sticker, gradually sticking the single object forward from the back of the single object by using the back of the sticker, and marking the position which initially contacts the left foot as the foot rear point;
the back attaching surface is the plane with the largest area where the back is located and all planes parallel to the plane, and is determined by the mode;
s4: then, acquiring a right foot rear point of the single item by using the same principle of the step S3, and marking the right foot rear point as a foot rear point II;
s5: then, obtaining the forefoot point of the left foot;
the method for acquiring the forefoot point comprises the steps of acquiring the arch of the left foot, acquiring the forefoot point of a third toe, wherein the forefoot point is the foremost point of the toe, and connecting the arch with the forefoot point to obtain a marked line;
merging the target line parallel with the hindfoot point of the left foot, and marking the point which is the forefront of the hindfoot and the left foot as the forefoot point;
connecting the forefoot point and the rearfoot point to obtain a left line;
s6: acquiring a forefoot point of the right foot according to the mode of the step S5, marking the forefoot point as a second forefoot point, and connecting the second forefoot point and the second rearfoot point to obtain a right line;
s7: marking an acute angle area formed by the left line and the right line as a marked orientation area;
s8: acquiring the position of an entrance in a building room, and continuously observing the T1 time and the T1 preset value of the orientation zone of the single target;
s9: when the intersection of the facing area and the entrance of the building room within the T1 time exceeds alpha degrees, the intersection is expressed as intention, the intention time is obtained, alpha is a preset value, the intention time is divided by T1, the obtained value is marked as an intention ratio, and when the intention ratio exceeds X1, the single icon is marked as the intention; acquiring an intention target face, and marking the intention target face as an intention face;
s10: the same judgment of the steps S2-S10 is carried out on all persons of the outdoor images, and then all intention targets are obtained; synchronously acquiring all intention faces;
s11: the number of people who obtain the intention label is marked as intention number Y1;
step four: repeatedly adding one to the value i, and repeating the third step to obtain the intention number and intention face corresponding to all Di; label it as Yi, i 1.. n; yi is in one-to-one correspondence with Di and Ui;
the preliminary analysis unit is used for transmitting the outdoor images, the intention numbers Yi, the odd numbers Di and the corresponding intention faces in all the Di ranges to the processor;
the two monitoring units are arranged in a building room and used for acquiring images of all people entering the building room and marking the images as indoor images, the two monitoring units are used for transmitting the indoor images to the processor, the processor receives the indoor images transmitted by the two monitoring units and carries out conversion analysis, and the specific conversion analysis mode is as follows:
SS 1: acquiring an indoor image corresponding to the day of Di according to the timestamp;
SS 2: comparing the indoor image with the outdoor image to obtain a face with the indoor image consistent with the outdoor image, and marking the consistent face as the number of people entering the room; the method comprises the steps of obtaining the face of the number of people entering the system and marking the face as the entering face;
SS 3: the method comprises the steps of enabling i to be 1, obtaining an entering face corresponding to the single day of U1, comparing the entering face with an intention face corresponding to the day of D1, marking the consistent entering face as a conversion face, and dividing the conversion face by the intention face to obtain a conversion ratio;
SS 4: repeatedly adding one to the value of i, and repeating the step SS3 to obtain the conversion ratio of all Ui, and marking the conversion ratio as Zi; zi and Ui are in one-to-one correspondence;
SS 5: then, automatically calculating to obtain a mean value of Zi, and marking the mean value as P; and then automatically calculating the deviation value L by using a formula, wherein the specific calculation formula is as follows:
SS 6: when L exceeds X2, generating a nuclear subtraction signal, sequentially deleting Zi values according to the sequence of Zi-P from large to small when generating the nuclear subtraction signal, and repeating the step SS5 once to calculate L when deleting each Zi;
SS 7: repeating the judgment of the step SS6 until no nuclear subtraction signal is generated, calculating the mean value of the residual Zi, and marking the mean value as a nuclear-to-conversion value H;
the preliminary analysis unit is further used for acquiring the real-time number of the intentions and transmitting the number of the intentions to the processor, and the processor is used for multiplying the number of the intentions by the conversion value H to obtain a predicted value;
the video acquisition unit, the preliminary analysis unit and the binomial monitoring unit perform the prediction process of the conversion value H and the prediction value once every fixed period;
the processor is used for carrying out early warning analysis on the predicted value by combining with the early warning rule base, and the specific mode of the early warning analysis is as follows:
when the predicted value exceeds X3, generating an early warning signal; x3 is a preset value;
the processor is used for displaying 'excessive current people number and please pay attention to coordination' in real time through the display unit when the early warning signal is generated;
the management unit is in communication connection with the processor and is used for inputting all preset values;
the processor is used for transmitting the nuclear conversion value H and the predicted value to the display unit for real-time display; the processor is used for transmitting the core-to-core conversion value H and the predicted value to the storage bank for real-time storage and covering the original numerical value;
the foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (8)
1. A building indoor video surveillance system, comprising:
a video acquisition unit: the system comprises a monitoring camera device arranged outside a building, a preliminary analysis unit and a monitoring processing unit, wherein the monitoring camera device is used for acquiring an outdoor real-time image in real time, marking the outdoor real-time image as an outdoor image and transmitting the outdoor image to the preliminary analysis unit;
a preliminary analysis unit: the method receives the outdoor image transmitted by the video acquisition unit, and performs forward data analysis on the outdoor image, wherein the forward data analysis has the specific mode that:
the method comprises the following steps: the current time is counted, the inertia time is pushed forward, the inertia time is preset by a manager, and usually, a half year or other better-calculated time meter is selected;
step two: taking the time of one day as a single meter, acquiring the number of all persons passing through the outdoor of the building on a single day, and marking the number as singular Di, i being 1.. n; marking the time of the corresponding single day as Ui, i ═ 1.. n;
step three: then, setting i to 1, acquiring an outdoor image corresponding to the day, and performing intention analysis on the outdoor image of the day to obtain intention targets, namely, the number of persons obtained is intention number Y1 and intention faces;
step four: repeatedly adding one to the value i, and repeating the third step to obtain the intention number and intention face corresponding to all Di; marking it as Yi, i 1.. n; yi is in one-to-one correspondence with Di and Ui;
a preliminary analysis unit: the digital image processing system is used for transmitting outdoor images, intention numbers Yi, odd number Di and corresponding intention faces in all Di ranges to the processor;
two monitoring units: the system is arranged in a building room and used for acquiring images of all people entering the building room, marking the images as indoor images and transmitting the images to the processor, and the processor receives the indoor images transmitted by the two monitoring units, and carries out conversion analysis to obtain a nuclear direction conversion value H;
the preliminary analysis unit is further used for acquiring the number of the intentions in real time and transmitting the number of the intentions to the processor, and the processor is used for multiplying the number of the intentions by the conversion value H to obtain a predicted value.
2. The system for video surveillance in a building according to claim 1, wherein the intention analysis in step three is performed by:
s1: acquiring a corresponding outdoor image;
s2: then acquiring a first person entering the building outdoor monitoring area, and marking the first person as a single label;
s3: acquiring a foot rear point of the left foot of the single object, determining that the foot rear point is against the back of the sticker, gradually sticking the single object forward from the back of the single object by using the back of the sticker, and marking the position which initially contacts the left foot as the foot rear point;
s4: then, acquiring a right foot rear point of the single item by using the same principle of the step S3, and marking the right foot rear point as a foot rear point II;
s5: then, obtaining the forefoot point of the left foot;
connecting the forefoot point and the rearfoot point to obtain a left line;
s6: acquiring a forefoot point of the right foot according to the mode of the step S5, marking the forefoot point as a second forefoot point, and connecting the second forefoot point and the second rearfoot point to obtain a right line;
s7: marking an acute angle area formed by the left line and the right line as a marked orientation area;
s8: acquiring the position of an entrance in a building room, and continuously observing the T1 time and the T1 preset value of the orientation zone of the single target;
s9: when the intersection of the facing area and the entrance of the building room within the T1 time exceeds alpha degrees, the intersection is expressed as intention, the intention time is obtained, alpha is a preset value, the intention time is divided by T1, the obtained value is marked as an intention ratio, and when the intention ratio exceeds X1, the single icon is marked as the intention; acquiring an intention target face, and marking the intention target face as an intention face;
s10: the same judgment of the steps S2-S10 is carried out on all persons of the outdoor images, and then all intention targets are obtained; synchronously acquiring all intention faces;
s11: the number of people who receive the intent, which is labeled as intent number Y1.
3. A video surveillance system for building interiors according to claim 2, characterized in that the tape-back in step S3 is determined in this way, i.e. the plane of maximum area on which the back is located and all planes parallel thereto.
4. The building indoor video monitoring system according to claim 2, wherein the forefoot point in step S5 is obtained by obtaining the arch of the left foot and obtaining the forefoot point of the third toe, which is the foremost point of the toe, and connecting the arch of the foot and the forefoot point to obtain a target line;
the target line is merged parallel to the hindfoot point of the left foot, and the most anterior point of the left foot is then marked as the forefoot point.
5. The building indoor video monitoring system according to claim 1, characterized in that the specific conversion and analysis mode is as follows:
SS 1: acquiring an indoor image corresponding to the day of Di according to the timestamp;
SS 2: comparing the indoor image with the outdoor image to obtain a face with the indoor image consistent with the outdoor image, and marking the consistent face as the number of people entering the room; the method comprises the steps of obtaining the face of the number of people entering the system and marking the face as the entering face;
SS 3: the method comprises the steps of enabling i to be 1, obtaining an entering face corresponding to the single day of U1, comparing the entering face with an intention face corresponding to the day of D1, marking the consistent entering face as a conversion face, and dividing the conversion face by the intention face to obtain a conversion ratio;
SS 4: repeatedly adding one to the value of i, and repeating the step SS3 to obtain the conversion ratio of all Ui, and marking the conversion ratio as Zi; zi and Ui are in one-to-one correspondence;
SS 5: then, automatically calculating to obtain the mean value of Zi, and marking the mean value as P; and then automatically calculating the deviation value L by using a formula, wherein the specific calculation formula is as follows:
SS 6: when L exceeds X2, generating a nuclear subtraction signal, sequentially deleting Zi values according to the sequence of Zi-P from large to small when generating the nuclear subtraction signal, and repeating the step SS5 once to calculate L when deleting each Zi;
SS 7: the decision of step SS6 is repeated until no nuclear subtraction signal is generated, and the mean of the remaining Zi is calculated and labeled as the nuclear to transformed value H.
6. The building indoor video monitoring system according to claim 1, wherein the processor is configured to perform early warning analysis on the predicted value by combining with an early warning rule base, and the early warning analysis is specifically performed by:
when the predicted value exceeds X3, generating an early warning signal; x3 is a preset value;
the processor is used for displaying 'excessive current people number and please pay attention to coordination' in real time through the display unit when the early warning signal is generated;
the processor is used for transmitting the nuclear conversion value H and the predicted value to the display unit for real-time display; and the processor is used for transmitting the core-to-core conversion value H and the predicted value to the storage library for real-time storage and covering the original numerical value.
7. The building indoor video monitoring system of claim 1, further comprising a management unit; the management unit is in communication connection with the processor and is used for recording all preset numerical values.
8. The building indoor video monitoring system according to any one of claims 1 to 7, wherein the video acquisition unit, the preliminary analysis unit and the secondary monitoring unit perform the prediction process of the conversion value H and the prediction value once every fixed period.
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