Cinema seating monitoring method and system based on visual analysis

Abstract

The invention relates to the technical field of cinema attendance monitoring, in particular to a cinema attendance monitoring method and system based on visual analysis, and the method comprises the steps: analyzing the number of people who reserve a movie, obtaining a first evaluation value of movie attendance, and judging the movie attendance before the movie is played in a given session; obtaining a second evaluation value of the movie attendance, and judging the stability condition of the movie attendance rate in the set session; analyzing the attendance change curve during projection, determining a glide judgment value, and determining an attendance glide section according to the glide judgment value; counting the number of all attendance down-sliding sections in the attendance change curve during projection, and recording a data set of the attendance during projection; and based on the recorded data set, analyzing to obtain the weight coefficients of all the attendance sliding-down sections in the attendance change curve during projection, so that the attendance when the movie is played in the movie hall can be more reasonably counted, and according to the attendance sliding-down conditions of different sections, a cinema can conveniently and reasonably arrange personnel to manage the movie hall.

Description

Technical Field

[0001] The present invention relates to the technical field of cinema attendance monitoring, and in particular to a cinema attendance monitoring method and system based on visual analysis. Background Art

[0002] With the rapid development of the film industry, the number of cinemas continues to increase, and competition is becoming increasingly fierce. To improve operational efficiency, cinemas need to more accurately understand attendance data in order to rationally schedule showtimes and optimize screening plans.

[0003] However, in the existing technology, in order to count and verify the box office volume and actual box office volume of a theater, a certain number of cameras are installed in the theater's theater to monitor the movie attendance rate of a given show; however, in the process of monitoring the movie attendance rate, the data analyzed by the attendance rate is relatively simple, and only shows the box office data of the movie. Since there will be some personnel flow during the screening, it is impossible to correctly evaluate the movie attendance rate data.

[0004] To this end, we propose a cinema attendance monitoring method and system based on visual analysis. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for monitoring cinema attendance based on visual analysis to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A method for monitoring cinema attendance based on visual analysis, comprising: Step 1: Analyze the number of movie reservations to obtain a first movie attendance evaluation value, compare the first movie attendance evaluation values, and determine the movie attendance rate before the screening of a given show, including a preliminary movie attendance rate qualification signal or a preliminary movie attendance rate failure signal; Step 2: Based on the preliminary attendance rate qualification signal of the movie, obtain the real-time attendance rate of the movie during the screening process, analyze it, and obtain a second evaluation value of the movie attendance. Compare the second evaluation value of the movie attendance to determine the stability of the movie attendance rate during the screening of the given show, including a signal of stable volatility during the screening or a signal of unstable volatility during the screening. Step 3: When an unstable fluctuation rate signal is obtained during the screening, the attendance rate change curve during the screening is analyzed to determine a decline judgment value, and the attendance rate decline segment is determined based on the decline judgment value; Step 4: Count the number of all attendance rate decline segments in the attendance rate change curve during the screening, and record the data set A of the attendance rate during the screening; based on the recorded data set A, analyze and obtain the weight coefficients of all attendance rate decline segments in the attendance rate change curve during the screening, and optimize the management work of the theater staff according to the size of the weight coefficients.

[0007] A cinema attendance monitoring system based on visual analysis, the system comprising: Pre-screening monitoring module: Analyzes the number of movie reservations to obtain a first evaluation value of movie attendance, compares the first evaluation value of movie attendance to determine the attendance rate of the movie before the screening of a given show; Screening Monitoring Module: Based on the initial attendance rate qualification signal of the film, the real-time attendance rate of the film during the screening process is obtained and analyzed to obtain the second evaluation value of the film attendance. The second evaluation value of the film attendance is compared to determine the stability of the film attendance rate during the screening of the given show; Analysis module during screening: When the unstable fluctuation rate signal is obtained during screening, the attendance rate change curve during screening is analyzed to determine the decline judgment value, and the attendance rate decline segment is determined based on the decline judgment value; Statistical management module: Counts the number of all attendance rate decline segments in the attendance rate change curve during screenings, and records the data set A of the attendance rate during screenings; based on the recorded data set A, analyzes and obtains the weight coefficients of all attendance rate decline segments in the attendance rate change curve during screenings, and optimizes the management work of theater staff according to the size of the weight coefficients.

[0008] Beneficial effects of the present invention: The present invention analyzes the theater attendance rate in two stages, specifically before or during the screening. In particular, when the initial attendance rate of the movie is qualified, the second evaluation value of the movie attendance rate is used to evaluate the degree of fluctuation of the attendance rate during the screening. The degree of fluctuation can effectively reflect the quality of the film shown in the theater. When a movie is played in a theater and the attendance rate fluctuates, the present invention analyzes and extracts the intervals in which the attendance rate drops severely. Based on this, the attendance rate when the movie is played in the theater can be more reasonably counted. The theater can also reasonably arrange personnel to manage the theater according to the decline in the attendance rate in different intervals. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The present invention will be further described below with reference to the accompanying drawings.

[0010] Figure 1 This is a flowchart of a method for monitoring cinema attendance based on visual analysis according to an embodiment of the present invention; Figure 2 This is a system block diagram of a cinema attendance monitoring system based on visual analysis according to an embodiment of the present invention; Figure 3 1 is a schematic diagram of the structure of a cinema attendance monitoring device based on visual analysis according to an embodiment of the present invention; Figure numbers: 3, computer device; 301, processor; 302, memory; 303, computer program. DETAILED DESCRIPTION

[0011] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention. Example 1

[0012] See also Figure 1 As shown, a method for monitoring cinema attendance based on visual analysis according to an embodiment of the present invention includes the following steps: Step 1: Analyze the number of movie reservations to obtain a first movie attendance evaluation value, compare the first movie attendance evaluation values, and determine the movie attendance rate before the screening of a given show; In some embodiments, the number of people who purchased tickets for a given show and the number of people who canceled their purchases are obtained through data from an online movie app, and the difference between the number of people who purchased tickets and the number of people who canceled their purchases is recorded as the actual number of people who purchased tickets; Calculate the ratio of the actual number of ticket buyers to the number of seats in the theater to obtain the first evaluation value of the movie attendance; Comparing the first movie attendance evaluation value with the first movie attendance evaluation threshold; If the first movie attendance evaluation value is greater than or equal to the first movie attendance evaluation threshold, it means that the online attendance rate of the movie to be screened in the theater is at a high level, and a preliminary movie attendance qualification signal is generated; If the first movie attendance evaluation value is less than the first movie attendance evaluation threshold, it means that the online attendance rate of the movie to be screened in the theater is at a high level, and a preliminary movie attendance rate unqualified signal is generated; when the preliminary movie attendance rate unqualified signal is obtained, it can effectively reflect that the movie attendance rate is lower than the expected standard; It should be explained that the time obtained can be the period from the start of online ticket purchase to the actual broadcast of the movie; Step 2: Based on the preliminary attendance rate qualification signal of the movie, obtain the real-time attendance rate of the movie during the screening process, analyze it, and obtain a second evaluation value of the movie attendance. Compare the second evaluation value of the movie attendance to determine the stability of the movie attendance rate during the screening of the given show; In some embodiments, when a preliminary qualified movie attendance signal is obtained, the real-time attendance of the movie during the screening is obtained, analyzed to obtain a time fluctuation ratio and an attendance fluctuation value, and the time fluctuation ratio and the attendance fluctuation value are multiplied to obtain a second movie attendance evaluation value; comparing the second movie attendance evaluation value with the second movie attendance evaluation threshold; If the second movie attendance evaluation value is greater than or equal to the second movie attendance evaluation threshold, it means that the attendance rate of the theater does not fluctuate significantly with the change of the playing time when the movie is played, and a stable fluctuation rate signal is generated during the screening. When the stable fluctuation rate signal is obtained, the real-time attendance rate of the movie during the screening process can be counted and the average can be calculated to obtain the attendance rate of the movie at the given screening time. If the second movie attendance evaluation value is less than the second movie attendance evaluation threshold, it means that the attendance rate of the theater fluctuates greatly with the change of the playing time when the movie is played, and an unstable fluctuation rate signal is generated during the screening; Specifically, the specific process of analyzing the real-time attendance rate of a movie during screening is as follows: A two-dimensional xy coordinate system is constructed with the movie showing time as the x-axis and the real-time attendance rate as the y-axis. The real-time attendance rate collected during the showing is substituted into the coordinate system and plotted as a curve of attendance rate changes during the showing. An attendance rate reference line is set in the xy two-dimensional coordinate system. The attendance rate reference line uses the attendance rate at the start of the movie as a reference value and is a horizontal line parallel to the x-axis. Extract the non-overlapping curve between the attendance rate change curve and the attendance rate reference line, collect the time length of the non-overlapping curve, and perform ratio processing on the time length of the non-overlapping curve and the actual screening time of the film to obtain the time fluctuation ratio; Collect the attendance rates at different times of the non-overlapping curves, calculate the variance of the attendance rates at all times within the non-overlapping curves, and obtain the attendance rate fluctuation value; It should be noted that the process of obtaining the real-time attendance rate of a movie during screening is as follows: The camera captures images of the theater in real time, and uses image processing algorithms to pre-process the captured images to improve the accuracy of subsequent recognition. The machine vision algorithm then uses the pre-processed images to identify seats, determine whether there are viewers in the seats, and count the number of seats with viewers. The number of seats with viewers is then compared with the total number of seats to obtain the real-time attendance rate of the movie during the screening. The technical solution of the present invention is as follows: analyzing the number of people who have made movie reservations to obtain a first movie attendance evaluation value, comparing the first movie attendance evaluation value, and judging the movie attendance rate before the screening of a given show; based on a qualified signal of the preliminary movie attendance rate, obtaining the real-time movie attendance rate during the screening process, and analyzing it to obtain a second movie attendance evaluation value, comparing the second movie attendance evaluation value, and judging the stability of the movie attendance rate during the screening of a given show; the present invention divides the theater attendance rate into two stages for analysis, specifically before or during the screening, especially when the qualified signal of the preliminary movie attendance rate is given, and evaluating the degree of fluctuation of the attendance rate during the screening through the second movie attendance evaluation value, and the degree of fluctuation can effectively reflect the quality of the film screened in the theater. Example 2

[0013] See also Figure 1 As shown, the method for monitoring cinema attendance based on visual analysis according to an embodiment of the present invention further includes the following steps: Step 3: When an unstable fluctuation rate signal is obtained during the screening, the attendance rate change curve during the screening is analyzed to determine a decline judgment value, and the attendance rate decline segment is determined based on the decline judgment value; In some embodiments, when an unstable fluctuation rate signal is obtained during a screening, an attendance rate change curve during the screening is obtained, a downward curve segment of the attendance rate change curve during the screening is extracted, and the attendance rates at two time endpoints of the downward curve segment are obtained; Calculate the difference between the attendance rate at the two time endpoints and the attendance rate at the adjacent time points to obtain the determined value of the line segment endpoint; And based on the attendance rates at the two time endpoints in the decline curve segment, the overall slope value of the decline curve segment is calculated using the slope formula; The sum of the determined value of the line segment endpoint and the overall slope value of the downslope curve segment is calculated to obtain the downslope determination value; comparing the downslide determination value with a downslide determination threshold; If the decline determination value is greater than or equal to the decline determination threshold, it indicates that the possible endpoint of the decline curve segment is not appropriate, that is, the final endpoint of the non-decline curve or a position close to the endpoint, and, during this period, the slope of the decline curve segment changes little, that is, the attendance rate changes little, and the decline curve segment is marked as a non-decline attendance rate segment; If the decline determination value is less than the decline determination threshold, it indicates that the possible endpoint of the decline curve segment is appropriately selected, i.e., the final endpoint of the decline curve or a position close to the endpoint, and that the slope of the decline curve segment changes significantly during this period, i.e., the attendance rate changes significantly, and the decline curve segment is marked as an attendance rate decline segment; Specifically, the line segment endpoint determination value includes a first line segment endpoint determination value and a second line segment endpoint determination value; Furthermore, the calculation process of determining the value of the line segment endpoint is as follows: Obtain the attendance rates at two time endpoints in the glide curve segment, calculate the difference between the attendance rate at the earlier time endpoint and the attendance rate at the previous adjacent time point, and obtain the determined value of the first line segment endpoint; Obtain the attendance rates at two time endpoints in the glide curve segment, calculate the difference between the attendance rate at the later time endpoint and the attendance rate at the next adjacent time point, and obtain the determined value of the second line segment endpoint; Step 4: Count the number of all attendance rate decline segments in the attendance rate change curve during the screening, and record the attendance rate data set A during the screening; based on the recorded data set A, analyze and obtain the weight coefficients of all attendance rate decline segments in the attendance rate change curve during the screening, and optimize the management of theater staff according to the weight coefficients; In some embodiments, the number of all attendance rate decline segments in the attendance rate change curve during the screening is counted and recorded as n, and the movie attendance rate during the screening is recorded by the following set A, where set A is specifically {(Tk1, Pk1), (Th1, Ph1), (Tk2, Pk2), (Th2, Ph2), ..., (Tk m , Pk m ), Th m , Ph m ),...,(Tk n , Pk n ), (Th n , Ph n )}; Where m=1,2,3...n, Tk n It is expressed as the time value of the nth attendance rate decline segment at the front time endpoint, Pk n It is expressed as the attendance rate at the end point of the nth attendance rate decline segment, Th n It is expressed as the time value of the nth attendance rate decline segment at the later time endpoint, Ph n It is represented by the attendance rate at the end point of the nth attendance rate decline segment; Based on the recorded data set A, the time impact ratio and the decline degree ratio are analyzed and summed to obtain the weight coefficients of all the attendance rate decline segments in the attendance rate change curve during the screening. The management work of the theater staff is optimized according to the weight coefficients. Specifically, based on the recorded data set, the specific process of analyzing and obtaining the time impact ratio and the decline degree ratio is as follows: Analyze any period of declining attendance rate and use the formula , calculate the downslope duration TC m ; Through the formula , calculate the downslide impact time TY m ; Set the duration of the decline to TC m and the time of decline TY m Perform sum calculation to obtain the total impact of the sliding time, and calculate the ratio of the total impact of the sliding time to the video playback duration to obtain the time impact ratio; Obtain the overall slope values of all the decline curve segments, perform sum calculations, and obtain the total decline slope value of the video playback. Ratio the overall slope value of the currently analyzed decline curve segment with the total decline slope value of the video playback to obtain the decline degree ratio. It should be explained that: according to the size of the weight coefficient, the management work of the theater staff is optimized. Specifically, the optimization work can be as follows: according to the size of the weight coefficient of different attendance decline segments during the film playback, different numbers of people are assigned to maintain order in the theater at corresponding time nodes; The technical solution of an embodiment of the present invention is as follows: when an unstable signal of fluctuation rate during screening is obtained, the attendance rate change curve during screening is analyzed to determine a decline judgment value, and the attendance rate decline segment is determined according to the decline judgment value; the number of all attendance rate decline segments in the attendance rate change curve during screening is counted, and a data set A of the attendance rate during screening is recorded; based on the recorded data set A, the weight coefficients of all attendance rate decline segments in the attendance rate change curve during screening are analyzed and obtained, and the management work of the theater staff is optimized according to the size of the weight coefficient; when a movie is played in a theater and there is a fluctuation in the attendance rate, the present invention analyzes and extracts the interval segment where the attendance rate declines severely, based on which the attendance rate when the movie is played in the theater can be more reasonably counted, and the theater can also reasonably arrange personnel to manage the venue according to the decline in the attendance rate in different intervals. Example 3

[0014] See also Figure 2 As shown, a cinema attendance monitoring system based on visual analysis according to an embodiment of the present invention includes: Pre-screening monitoring module: Analyzes the number of movie reservations to obtain a first evaluation value of movie attendance, compares the first evaluation value of movie attendance to determine the attendance rate of the movie before the screening of a given show; Screening Monitoring Module: Based on the initial attendance rate qualification signal of the film, the real-time attendance rate of the film during the screening process is obtained and analyzed to obtain the second evaluation value of the film attendance. The second evaluation value of the film attendance is compared to determine the stability of the film attendance rate during the screening of the given show; Analysis module during screening: When the unstable fluctuation rate signal is obtained during screening, the attendance rate change curve during screening is analyzed to determine the decline judgment value, and the attendance rate decline segment is determined based on the decline judgment value; Statistical management module: Counts the number of all attendance rate decline segments in the attendance rate change curve during screenings, and records the data set A of the attendance rate during screenings; based on the recorded data set A, analyzes and obtains the weight coefficients of all attendance rate decline segments in the attendance rate change curve during screenings, and optimizes the management work of theater staff according to the size of the weight coefficients. Example 4

[0015] Reference Figure 3 An embodiment of the present invention further provides a computer device 3, comprising: a memory 302, a processor 301, and a computer program 303 stored in the memory 302. When the computer program 303 is executed on the processor 301, a cinema attendance monitoring method based on visual analysis as described in any one of the above methods is implemented.

[0016] The computer device 3 may be a desktop computer, a notebook computer, a PDA, a cloud server or other computing devices. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will understand that Figure 3 This is merely an example of the computer device 3 and does not constitute a limitation on the computer device 3 . The computer device 3 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device 3 may also include input and output devices, network access devices, etc.

[0017] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor may be a microprocessor or any conventional processor.

[0018] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as a hard drive or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard drive, a SmartMediaCard (SMC), a Secure Digital (SD) card, a flash memory card, etc. equipped on the computer device 3. Furthermore, the memory 302 may include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program. The memory 302 may also be used to temporarily store data that has been output or is about to be output. Example 5

[0019] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the computer program implements a cinema attendance monitoring method based on visual analysis as described in any one of the above methods.

[0020] In this embodiment, if the integrated unit is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the process steps in the above-mentioned method embodiments by using a computer program to instruct the relevant hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a camera / terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunication signals, and software distribution media. Examples include USB flash drives, removable hard drives, magnetic disks, or optical disks. In some jurisdictions, based on legislation and patent practice, computer-readable media cannot be electric carrier signals or telecommunication signals.

[0021] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0022] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0023] In the embodiments disclosed in this application, it should be understood that the disclosed apparatus / terminal device and method can be implemented in other ways. For example, the apparatus / terminal device embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical functional division. In actual implementation, other division methods may be used, such as combining or integrating multiple units or components into another system, or ignoring or not implementing certain features.

[0024] On the other hand, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, which may be electrical, mechanical or other forms.

[0025] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0026] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0027] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for monitoring cinema attendance based on visual analysis, characterized in that: include: Analyze whether the real-time attendance of a movie is stable during screenings and identify unstable signals of movie screening fluctuations; Under unstable fluctuation rate signals, analyze the changes in attendance rate during the screening, determine the decline judgment value, and determine the attendance decline segment based on the decline judgment value; According to the attendance rate decline segments, the attendance rate data set A recorded during the screening is determined and analyzed to obtain the weight coefficients of all attendance rate decline segments in the attendance rate change curve during the screening.

2. The method for monitoring cinema attendance based on visual analysis according to claim 1, characterized in that: The generation process of the fluctuation instability signal is as follows: Obtain the real-time attendance rate of the movie during the screening process, construct the attendance rate change curve and attendance rate reference line, and analyze them to obtain the time fluctuation ratio and attendance rate fluctuation value; The second evaluation value of the movie attendance is obtained by multiplying the time fluctuation ratio and the attendance fluctuation value. If the second evaluation value of the movie attendance is less than the second evaluation threshold of the movie attendance, an unstable volatility signal during the screening is generated.

3. The method for monitoring cinema attendance based on visual analysis according to claim 2, characterized in that: The process of obtaining the time fluctuation ratio is as follows: The non-overlapping curve between the attendance rate change curve and the attendance rate reference line is extracted, the time length of the non-overlapping curve is collected, and the time length of the non-overlapping curve is ratioed with the actual screening time of the film to obtain the time fluctuation ratio.

4. The method for monitoring cinema attendance based on visual analysis according to claim 2, characterized in that: The process of obtaining the attendance rate fluctuation value is as follows: The attendance rates at different times of the non-overlapping curves are collected, and the variance of the attendance rates at all times within the non-overlapping curves is calculated to obtain the attendance rate fluctuation value.

5. The method for monitoring cinema attendance based on visual analysis according to claim 1, characterized in that: The process of obtaining the downslope determination value is as follows: Extract the descending curve segment from the attendance rate change curve during the screening, and obtain the attendance rates at the two time endpoints of the descending curve segment; Calculate the difference between the attendance rate at the two time endpoints and the attendance rate at the adjacent time points to obtain the determined value of the line segment endpoint; The line segment endpoint determination value includes a first line segment endpoint determination value and a second line segment endpoint determination value; And based on the attendance rates at the two time endpoints in the decline curve segment, the overall slope value of the decline curve segment is calculated using the slope formula; The sum of the determined value of the line segment endpoint and the overall slope value of the downslope curve segment is calculated to obtain the downslope determination value; If the decline determination value is less than the decline determination threshold, the decline curve segment is marked as an occupancy rate decline segment.

6. The method for monitoring cinema attendance based on visual analysis according to claim 5, characterized in that: The process of obtaining the determined value of the first line segment endpoint is as follows: The attendance rates at the two time endpoints in the glide curve segment are obtained, and the difference between the attendance rate at the earlier time endpoint and the attendance rate at the previous adjacent time point is calculated to obtain the determined value of the first line segment endpoint.

7. The method for monitoring cinema attendance based on visual analysis according to claim 5, characterized in that: The process of obtaining the determined value of the second line segment endpoint is as follows: The attendance rates at the two time endpoints in the descent curve segment are obtained, and the difference between the attendance rate at the later time endpoint and the attendance rate at the next adjacent time point is calculated to obtain the determined value of the second line segment endpoint.

8. The method for monitoring cinema attendance based on visual analysis according to claim 1, characterized in that: The process of obtaining the weight coefficients of all the attendance rate decline segments in the attendance rate change curve during the screening is as follows: Count the number of all attendance rate decline segments in the attendance rate change curve during the screening, and record it as n. Use set A to record the movie attendance rate during the screening; Based on the recorded data set A, the time impact ratio and the decline degree ratio are analyzed and summed to obtain the weight coefficients of all attendance decline segments in the attendance change curve during the screening.

9. The method for monitoring cinema attendance based on visual analysis according to claim 8, characterized in that: The process of obtaining the time impact ratio and the decline degree ratio is as follows: Analyze any period of declining attendance rate and use the formula , calculate the downslope duration TC m ; Through the formula , calculate the downslide impact time TY m ; Set the duration of the decline to TC m and the time of decline TY m Perform sum calculation to obtain the total impact of the sliding time, and calculate the ratio of the total impact of the sliding time to the video playback duration to obtain the time impact ratio; The overall slope value of all the decline curve segments is obtained, and the sum is calculated to obtain the total decline slope value of the movie playback. The overall slope value of the currently analyzed decline curve segment is compared with the total decline slope value of the movie playback to obtain the decline degree ratio.

10. A cinema attendance monitoring system based on visual analysis, characterized in that: The system is used to execute the method according to any one of claims 1 to 9, and the system comprises: Pre-screening monitoring module: Analyzes the number of movie reservations to obtain a first evaluation value of movie attendance, compares the first evaluation value of movie attendance to determine the attendance rate of the movie before the screening of a given show; Screening Monitoring Module: Based on the initial attendance rate qualification signal of the film, the real-time attendance rate of the film during the screening process is obtained and analyzed to obtain the second evaluation value of the film attendance. The second evaluation value of the film attendance is compared to determine the stability of the film attendance rate during the screening of the given show; Analysis module during screening: When the unstable fluctuation rate signal is obtained during screening, the attendance rate change curve during screening is analyzed to determine the decline judgment value, and the attendance rate decline segment is determined based on the decline judgment value; Statistical management module: Counts the number of all attendance rate decline segments in the attendance rate change curve during screenings, and records the data set A of the attendance rate during screenings; based on the recorded data set A, analyzes and obtains the weight coefficients of all attendance rate decline segments in the attendance rate change curve during screenings, and optimizes the management work of theater staff according to the size of the weight coefficients.

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