CN112347846B - Stage performance scheduling behavior detection system - Google Patents
Stage performance scheduling behavior detection system Download PDFInfo
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- CN112347846B CN112347846B CN202011029815.4A CN202011029815A CN112347846B CN 112347846 B CN112347846 B CN 112347846B CN 202011029815 A CN202011029815 A CN 202011029815A CN 112347846 B CN112347846 B CN 112347846B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G06V10/40—Extraction of image or video features
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Abstract
The invention discloses a stage performance scheduling behavior detection system, which is used for solving the problems that the existing stage performance scheduling system cannot perform behavior detection according to the gestures of stage personnel so as to execute corresponding stage scheduling and has low intellectualization, and comprises a data acquisition module, a controller, a behavior detection module and a stage control module; the behavior detection module sends an instruction corresponding to the selected outline picture to the stage control module; the stage control module receives the instruction corresponding to the selected outline picture and executes the operation corresponding to the instruction, and the corresponding instruction is obtained by collecting and analyzing the stage picture of the performance stage, so that the sound and stage lamp on the corresponding performance stage are controlled to work.
Description
Technical Field
The invention relates to stage performance scheduling monitoring, in particular to a stage performance scheduling behavior detection system.
Background
In recent years, with the continuous development of cultural performance career, the attention of the wide audience to the content of the cultural performance is not limited to traditional stage design elements such as script, actors, monologue, clothes, props and the like, and the modern performance integrates stage lighting, stage sound, stage machinery and the like into each link of the performance in the aspect of stage packaging. Along with the development of science and technology, the performance only can be more and more high to the requirement of stage effect, like the spring of looking at in recent years, has numerous stage bench type, dazzles various stage lamp effect, massive video animation, stereo sound effects. In the prior art, a stage supervision and scheduling system is a technical system for stage supervisors to realize rehearsal, rehearsal and performance of various types of dramas, and is a highly integrated system.
The existing stage performance scheduling system cannot perform behavior detection according to gestures of stage personnel to further execute corresponding stage scheduling, and is low in intelligentization.
Disclosure of Invention
The invention aims to solve the problems that the existing stage performance scheduling system cannot perform behavior detection according to the gestures of stage personnel and further execute corresponding stage scheduling, and is low in intelligentization, and provides a stage performance scheduling behavior detection system.
The purpose of the invention can be realized by the following technical scheme: a stage performance scheduling behavior detection system comprises a data acquisition module, a controller, a behavior detection module and a stage control module;
the data acquisition module is used for acquiring stage pictures of the performance stage and sending the stage pictures to the behavior detection module through the controller;
the behavior detection module is used for analyzing the stage information and generating a corresponding instruction, and the specific analysis steps are as follows:
the method comprises the following steps: carrying out noise reduction processing on the stage picture to obtain a noise reduction picture;
step two: performing skin color segmentation on the noise reduction picture, specifically: the method comprises the steps that gloves with preset colors are worn on hands of stage personnel or paints with the preset colors are coated on the hands of the stage personnel, a noise reduction picture is amplified to be multiple times to obtain a pixel grid picture, the colors in the pixel grid picture are identified, when the colors of the pixel grids in the pixel grid picture are the same as the preset colors, the pixel grids are reserved, if not, the pixel grids are segmented and removed, and the pixel grid picture after the removal is marked as a hand initial picture; carrying out edge recognition on the initial hand picture to obtain a hand contour picture;
step three: matching the hand contour picture with the preset contour picture in similarity, wherein the specific matching steps are as follows:
s31: placing the preset outline picture and the hand outline picture in a table chart, acquiring a column of the preset outline picture and the hand outline picture occupying the most tables in the vertical direction, and when the column of the preset outline picture occupying the most tables is larger than the column of the hand outline picture occupying the most tables in the vertical direction, amplifying the hand outline picture to enable the column of the hand outline picture occupying the most tables in the vertical direction to be equal to the column of the hand outline picture occupying the most tables in the vertical direction; when the column with the largest table number occupied by the preset outline picture is smaller than the column with the largest table number occupied by the hand outline picture in the vertical direction, reducing the hand outline picture to enable the column with the largest table number occupied by the hand outline picture in the vertical direction to be equal to the column with the largest table number occupied by the preset outline picture;
s32: acquiring a preset outline picture and a row of the hand outline picture occupying the maximum number of tables in the horizontal direction, connecting the row of the hand outline picture occupying the maximum number of tables in the horizontal direction with a column of the hand outline picture occupying the maximum number of tables in the vertical direction, and selecting an intersection point of the row of the hand outline picture to obtain a hand intersection point; connecting a row of the preset outline picture occupying the most tables in the horizontal direction with a column of the preset outline picture occupying the most tables in the vertical direction, and selecting a cross point to obtain a preset cross point;
s33: the hand cross points are overlapped with the preset cross points of the preset outline picture, and meanwhile, a column with the largest table number occupied by the preset outline picture in the vertical direction is parallel to a column with the largest table number occupied by the hand outline picture in the vertical direction;
s34: uniformly dispersing a plurality of rays to the periphery by taking the hand intersection point as an end point, and intersecting the rays with the preset contour picture and the edge of the preset contour and the hand contour in the hand contour picture to obtain intersection points which are respectively marked as a point Ai and a point Bi; i is the number of rays;
s35: calculating the ray length between points Ai and Bi and labeled ABi; summing the ray lengths between points Ai and Bi to obtain the total length, and marking as DC;
s36: obtaining the similarity XS between the hand contour picture and a preset contour picture by using a formula XS ═ 1/DC (1/DC) x b 1; wherein b1 is a preset proportionality coefficient;
step four: selecting a preset contour picture with the maximum similarity as a selected contour picture, and acquiring an instruction corresponding to the selected contour picture; the behavior detection module sends an instruction corresponding to the selected outline picture to the stage control module; and the stage control module receives the instruction corresponding to the selected outline picture and executes the operation corresponding to the instruction.
Preferably, the data acquisition module comprises the following specific acquisition steps:
s1: the staff inputs the acquired time period and the acquisition frequency to the data acquisition module through the mobile phone terminal;
s2: the data acquisition module receives and stores the acquired time period and the acquired frequency;
s3: the method comprises the steps that a worker sends a performance starting instruction to a data acquisition module through a mobile phone terminal, the data acquisition module starts to work after receiving the performance starting instruction, when the current time of a system is equal to the starting moment of an acquisition time period, the data acquisition module acquires stage pictures of a performance stage and sends the stage pictures to a controller, and the acquisition frequency is equal to the received acquisition frequency; and when the current time of the system is equal to the end time of the acquired time period, the data acquisition module stops acquiring.
Preferably, the system further comprises a data entry module and a data storage module, wherein the data entry module is used for a worker to enter a preset contour picture and a corresponding instruction through a computer terminal and send the preset contour picture and the corresponding instruction to the data storage module through the controller for storage, and the corresponding instruction comprises an instruction code, a theme for playing music, a playing time and the brightness, the color, the irradiation angle, the irradiation time and the irradiation duration of stage lighting.
Preferably, the system also comprises a registration login module and a personnel analysis module, wherein the registration login module is used for the staff to submit the registration information for registration through the mobile phone terminal and send the successfully registered registration information to the data storage module through the controller for storage; the registration information comprises a name, a mobile phone number, an enrollment time, an age and a job title;
the personnel analysis module is used for acquiring and analyzing the registration information, and the specific analysis steps are as follows:
SS 1: calculating the time difference between the working time of the staff and the current system time to obtain the working time of the staff, and marking the working time as T1;
SS 2: setting a preset job value corresponding to all job names, matching the job names of the staff with all the job names to obtain the corresponding preset job value, and marking the preset job value as T2;
SS 3: the age of the staff is marked as T3; carrying out dequantization processing on the working duration, the preset value of the job title and the age of a worker and taking the numerical values of the working duration, the preset value of the job title and the age of the worker;
SS 4: acquiring a staff value ZT of a staff by using a formula ZT of T1 × b2+ T2 × b3+ T3 × b 4; wherein b2, b3 and b4 are all preset proportionality coefficients;
SS 5: and the personnel analysis module sends the personnel value to the data storage module for storage through control.
Preferably, this system still includes the remote control module, the remote control module is used for the staff to control through stereo set and stage lamp on the cell-phone terminal remote control performance stage, specifically is: and acquiring the personnel value of a worker, and when the personnel value is greater than a set threshold value, controlling the subject and the playing time of the music playing of the stage sound equipment and the brightness, the color, the illumination angle, the illumination time and the illumination duration of the stage lamp by the worker through a mobile phone terminal.
Compared with the prior art, the invention has the beneficial effects that:
1. the data acquisition module acquires stage pictures of a performance stage and sends the stage pictures to the behavior detection module through the controller; the behavior detection module analyzes the stage information, generates a corresponding instruction, and performs noise reduction processing on the stage picture to obtain a noise reduction picture; carrying out skin color segmentation on the noise reduction picture, putting a glove with a preset color on the hand of a stage worker or coating a paint with a preset color on the hand, amplifying the noise reduction picture to a plurality of times to obtain a pixel grid picture, identifying the color in the pixel grid picture, reserving the pixel grid when the color of the pixel grid in the pixel grid picture is the same as the preset color, otherwise, carrying out segmentation and elimination on the pixel grid, and marking the pixel grid picture after the elimination as a hand initial picture; carrying out edge recognition on the initial hand picture to obtain a hand contour picture; matching the hand contour picture with the preset contour picture in similarity, selecting the preset contour picture with the maximum similarity as a selected contour picture, and acquiring an instruction corresponding to the selected contour picture; the behavior detection module sends an instruction corresponding to the selected outline picture to the stage control module; the stage control module receives the instruction corresponding to the selected outline picture and executes the operation corresponding to the instruction, and acquires and analyzes the stage picture of the performance stage to obtain the corresponding instruction, so that the sound and stage lamp on the corresponding performance stage are controlled to work;
2. placing the preset outline picture and the hand outline picture in a table chart, acquiring a column of the preset outline picture and the hand outline picture occupying the most tables in the vertical direction, and when the column of the preset outline picture occupying the most tables is larger than the column of the hand outline picture occupying the most tables in the vertical direction, amplifying the hand outline picture to enable the column of the hand outline picture occupying the most tables in the vertical direction to be equal to the column of the hand outline picture occupying the most tables in the vertical direction; when the column with the largest table number occupied by the preset outline picture is smaller than the column with the largest table number occupied by the hand outline picture in the vertical direction, the hand outline picture is reduced, and the column with the largest table number occupied by the hand outline picture in the vertical direction is equal to the column with the largest table number occupied by the preset outline picture; acquiring a preset outline picture and a row of the hand outline picture occupying the maximum number of tables in the horizontal direction, connecting the row of the hand outline picture occupying the maximum number of tables in the horizontal direction with a column of the hand outline picture occupying the maximum number of tables in the vertical direction, and selecting an intersection point of the row of the hand outline picture to obtain a hand intersection point; connecting a row of the preset outline picture occupying the most tables in the horizontal direction with a column of the preset outline picture occupying the most tables in the vertical direction, and selecting a cross point to obtain a preset cross point; the hand cross points are overlapped with the preset cross points of the preset outline picture, and meanwhile, a column of the preset outline picture, which occupies the most tables in the vertical direction, is parallel to a column of the hand outline picture, which occupies the most tables in the vertical direction; uniformly dispersing a plurality of rays to the periphery by taking the hand intersection point as an end point, and intersecting the rays with the preset contour picture and the edge of the preset contour and the hand contour in the hand contour picture to obtain intersection points which are respectively marked as a point Ai and a point Bi; calculating the ray length between points Ai and Bi and labeled ABi; summing the ray lengths between points Ai and Bi to obtain the total length, and marking as DC; obtaining the similarity XS between the hand contour picture and a preset contour picture by using a formula XS (1/DC) x b 1; through carrying out hand contour recognition to stage personnel, be convenient for rationally carry out the performance dispatch.
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 schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a stage performance scheduling behavior detection system includes a data acquisition module, a controller, a behavior detection module, a stage control module, a data entry module, a data storage module, a registration and login module, a personnel analysis module, and a remote control module;
the data acquisition module is used for acquiring stage pictures of the performance stage and sending the stage pictures to the behavior detection module through the controller;
the behavior detection module is used for analyzing the stage information and generating a corresponding instruction, and the specific analysis steps are as follows:
the method comprises the following steps: carrying out noise reduction processing on the stage picture to obtain a noise reduction picture;
step two: performing skin color segmentation on the noise-reduced picture, specifically: taking gloves with preset colors on hands of stage personnel or coating paint with preset colors on the hands, amplifying the noise reduction picture to a plurality of times to obtain a pixel grid picture, identifying the colors in the pixel grid picture, reserving the pixel grid when the colors of the pixel grid in the pixel grid picture are the same as the preset colors, otherwise, segmenting and removing the pixel grid, and marking the removed pixel grid picture as a hand initial picture; carrying out edge recognition on the initial hand picture to obtain a hand contour picture;
step three: matching the hand contour picture with the preset contour picture in similarity, wherein the specific matching steps are as follows:
s31: placing the preset outline picture and the hand outline picture in a table chart, acquiring a column of the preset outline picture and the hand outline picture occupying the most tables in the vertical direction, and when the column of the preset outline picture occupying the most tables is larger than the column of the hand outline picture occupying the most tables in the vertical direction, amplifying the hand outline picture to enable the column of the hand outline picture occupying the most tables in the vertical direction to be equal to the column of the hand outline picture occupying the most tables in the vertical direction; when the column with the largest table number occupied by the preset outline picture is smaller than the column with the largest table number occupied by the hand outline picture in the vertical direction, the hand outline picture is reduced, and the column with the largest table number occupied by the hand outline picture in the vertical direction is equal to the column with the largest table number occupied by the preset outline picture;
s32: acquiring a preset outline picture and a row of the hand outline picture occupying the maximum number of tables in the horizontal direction, connecting the row of the hand outline picture occupying the maximum number of tables in the horizontal direction with a column of the hand outline picture occupying the maximum number of tables in the vertical direction, and selecting an intersection point of the row of the hand outline picture to obtain a hand intersection point; connecting a row of the preset outline picture occupying the most tables in the horizontal direction with a column of the preset outline picture occupying the most tables in the vertical direction, and selecting a cross point to obtain a preset cross point;
s33: the hand cross points are overlapped with the preset cross points of the preset outline picture, and meanwhile, a column with the largest table number occupied by the preset outline picture in the vertical direction is parallel to a column with the largest table number occupied by the hand outline picture in the vertical direction;
s34: taking the hand intersection point as an end point, uniformly dispersing a plurality of rays to the periphery, and intersecting the rays with the preset contour picture and the edge of the preset contour and the hand contour in the hand contour picture to obtain intersection points which are respectively marked as a point Ai and a point Bi; i is the number of rays;
s35: calculating the ray length between points Ai and Bi and labeled ABi; summing the ray lengths between points Ai and Bi to obtain the total length, and marking as DC;
s36: obtaining the similarity XS between the hand contour picture and a preset contour picture by using a formula XS ═ 1/DC (1/DC) x b 1; wherein b1 is a preset proportionality coefficient;
step four: selecting a preset contour picture with the maximum similarity as a selected contour picture, and acquiring an instruction corresponding to the selected contour picture; the behavior detection module sends an instruction corresponding to the selected outline picture to the stage control module; and the stage control module receives the instruction corresponding to the selected outline picture and executes the operation corresponding to the instruction.
The data acquisition module comprises the following specific acquisition steps:
s1: the staff inputs the acquired time period and the acquisition frequency to the data acquisition module through the mobile phone terminal;
s2: the data acquisition module receives and stores the acquired time period and the acquired frequency;
s3: the method comprises the steps that a worker sends a performance starting instruction to a data acquisition module through a mobile phone terminal, the data acquisition module starts to work after receiving the performance starting instruction, when the current time of a system is equal to the starting moment of an acquisition time period, the data acquisition module acquires stage pictures of a performance stage and sends the stage pictures to a controller, and the acquisition frequency is equal to the received acquisition frequency; and when the current time of the system is equal to the end time of the acquired time period, the data acquisition module stops acquiring.
The data entry module is used for a worker to enter a preset contour picture and a corresponding instruction through a computer terminal and send the preset contour picture and the corresponding instruction to the data storage module through the controller for storage, wherein the corresponding instruction comprises an instruction code, a material for playing music, a playing time and brightness, color, an irradiation angle, an irradiation time and irradiation duration of stage lighting.
The registration login module is used for a worker to submit registration information for registration through the mobile phone terminal and send the registration information which is successfully registered to the data storage module through the controller for storage; the registration information comprises a name, a mobile phone number, an enrollment time, an age and a job title;
the personnel analysis module is used for acquiring and analyzing the registration information, and the specific analysis steps are as follows:
SS 1: calculating the time difference between the working time of the staff and the current system time to obtain the working time of the staff, and marking the working time as T1;
SS 2: setting a preset job value corresponding to all job names, matching the job names of the staff with all the job names to obtain the corresponding preset job value, and marking the preset job value as T2;
SS 3: the age of the staff is marked as T3; carrying out dequantization processing on the working duration, the preset value of the job title and the age of a worker and taking the numerical values of the working duration, the preset value of the job title and the age of the worker;
SS 4: acquiring a staff value ZT of the staff by using a formula ZT which is T1 × b2+ T2 × b3+ T3 × b 4; wherein b2, b3 and b4 are all preset proportionality coefficients;
SS 5: and the personnel analysis module sends the personnel value to the data storage module for storage through control.
Remote control module is used for the staff to control through stereo set and stage lamp on the cell-phone terminal remote control performance stage, specifically is: and acquiring the personnel value of a worker, and when the personnel value is greater than a set threshold value, controlling the subject and the playing time of the music playing of the stage sound equipment and the brightness, the color, the illumination angle, the illumination time and the illumination duration of the stage lamp by the worker through a mobile phone terminal.
When the device is used, the data acquisition module acquires stage pictures of a performance stage and sends the stage pictures to the behavior detection module through the controller; the behavior detection module analyzes the stage information, generates a corresponding instruction, and performs noise reduction processing on the stage picture to obtain a noise reduction picture; carrying out skin color segmentation on the noise reduction picture, putting a glove with a preset color on the hand of a stage worker or coating a paint with a preset color on the hand, amplifying the noise reduction picture to a plurality of times to obtain a pixel grid picture, identifying the color in the pixel grid picture, reserving the pixel grid when the color of the pixel grid in the pixel grid picture is the same as the preset color, otherwise, carrying out segmentation and elimination on the pixel grid, and marking the pixel grid picture after the elimination as a hand initial picture; carrying out edge recognition on the initial hand picture to obtain a hand contour picture; matching the hand contour picture with the preset contour picture in similarity, selecting the preset contour picture with the maximum similarity as a selected contour picture, and acquiring an instruction corresponding to the selected contour picture; the behavior detection module sends an instruction corresponding to the selected outline picture to the stage control module; the stage control module receives the instruction corresponding to the selected outline picture and executes the operation corresponding to the instruction, and acquires the corresponding instruction by acquiring and analyzing the stage picture of the performance stage, thereby controlling the sound and stage lamp work on the corresponding performance stage;
placing the preset outline picture and the hand outline picture in a table chart, obtaining a column with the largest table number occupied by the preset outline picture and the hand outline picture in the vertical direction, and when the column with the largest table number occupied by the preset outline picture is larger than the column with the largest table number occupied by the hand outline picture in the vertical direction, amplifying the hand outline picture to enable the column with the largest table number occupied by the hand outline picture in the vertical direction to be equal to the column with the largest table number occupied by the preset outline picture; when the column with the largest table number occupied by the preset outline picture is smaller than the column with the largest table number occupied by the hand outline picture in the vertical direction, the hand outline picture is reduced, and the column with the largest table number occupied by the hand outline picture in the vertical direction is equal to the column with the largest table number occupied by the preset outline picture; acquiring a preset outline picture and a row of the hand outline picture occupying the maximum number of tables in the horizontal direction, connecting the row of the hand outline picture occupying the maximum number of tables in the horizontal direction with a column of the hand outline picture occupying the maximum number of tables in the vertical direction, and selecting an intersection point of the row of the hand outline picture to obtain a hand intersection point; connecting a row of the preset outline picture occupying the most tables in the horizontal direction with a column of the preset outline picture occupying the most tables in the vertical direction, and selecting a cross point to obtain a preset cross point; the hand cross points are overlapped with the preset cross points of the preset outline picture, and meanwhile, a column of the preset outline picture, which occupies the most tables in the vertical direction, is parallel to a column of the hand outline picture, which occupies the most tables in the vertical direction; uniformly dispersing a plurality of rays to the periphery by taking the hand intersection point as an end point, and intersecting the rays with the preset contour picture and the edge of the preset contour and the hand contour in the hand contour picture to obtain intersection points which are respectively marked as a point Ai and a point Bi; calculating the ray length between points Ai and Bi and labeled ABi; summing the ray lengths between points Ai and Bi to obtain the total length, and marking as DC; obtaining the similarity XS between the hand contour picture and a preset contour picture by using a formula XS ═ 1/DC (1/DC) x b 1; through carrying out hand contour recognition to stage personnel, be convenient for rationally carry out the performance dispatch.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. A stage performance scheduling behavior detection system is characterized by comprising a data acquisition module, a controller, a behavior detection module and a stage control module;
the data acquisition module is used for acquiring stage pictures of the performance stage and sending the stage pictures to the behavior detection module through the controller;
the behavior detection module is used for analyzing the stage information and generating a corresponding instruction, and the specific analysis steps are as follows:
the method comprises the following steps: carrying out noise reduction processing on the stage picture to obtain a noise reduction picture;
step two: performing skin color segmentation on the noise-reduced picture, specifically: taking gloves with preset colors on hands of stage personnel or coating paint with preset colors on the hands, amplifying the noise reduction picture to a plurality of times to obtain a pixel grid picture, identifying the colors in the pixel grid picture, reserving the pixel grid when the colors of the pixel grid in the pixel grid picture are the same as the preset colors, otherwise, segmenting and removing the pixel grid, and marking the removed pixel grid picture as a hand initial picture; carrying out edge recognition on the initial hand picture to obtain a hand contour picture;
step three: matching the hand contour picture with the preset contour picture in similarity, wherein the specific matching steps are as follows:
s31: placing the preset outline picture and the hand outline picture in a table chart, acquiring a column of the preset outline picture and the hand outline picture occupying the most tables in the vertical direction, and when the column of the preset outline picture occupying the most tables is larger than the column of the hand outline picture occupying the most tables in the vertical direction, amplifying the hand outline picture to enable the column of the hand outline picture occupying the most tables in the vertical direction to be equal to the column of the hand outline picture occupying the most tables in the vertical direction; when the column with the largest table number occupied by the preset outline picture is smaller than the column with the largest table number occupied by the hand outline picture in the vertical direction, the hand outline picture is reduced, and the column with the largest table number occupied by the hand outline picture in the vertical direction is equal to the column with the largest table number occupied by the preset outline picture;
s32: acquiring a preset outline picture and a row of the hand outline picture occupying the maximum number of tables in the horizontal direction, connecting the row of the hand outline picture occupying the maximum number of tables in the horizontal direction with a column of the hand outline picture occupying the maximum number of tables in the vertical direction, and selecting an intersection point of the row of the hand outline picture to obtain a hand intersection point; connecting a row of the preset outline picture occupying the most tables in the horizontal direction with a column of the preset outline picture occupying the most tables in the vertical direction, and selecting a cross point to obtain a preset cross point;
s33: the hand cross points are overlapped with the preset cross points of the preset outline picture, and meanwhile, a column of the preset outline picture, which occupies the most tables in the vertical direction, is parallel to a column of the hand outline picture, which occupies the most tables in the vertical direction;
s34: uniformly dispersing a plurality of rays to the periphery by taking the hand intersection point as an end point, and intersecting the rays with the preset contour picture and the edge of the preset contour and the hand contour in the hand contour picture to obtain intersection points which are respectively marked as a point Ai and a point Bi; i is the number of rays;
s35: calculating the ray length between points Ai and Bi and labeled ABi; summing the ray lengths between points Ai and Bi to obtain the total length, and marking as DC;
s36: obtaining the similarity XS between the hand contour picture and a preset contour picture by using a formula XS ═ 1/DC (1/DC) x b 1; wherein b1 is a preset proportionality coefficient;
step four: selecting a preset contour picture with the maximum similarity as a selected contour picture, and acquiring an instruction corresponding to the selected contour picture; the behavior detection module sends an instruction corresponding to the selected outline picture to the stage control module; and the stage control module receives the instruction corresponding to the selected outline picture and executes the operation corresponding to the instruction.
2. The system for detecting stage performance scheduling behavior according to claim 1, wherein the data collection module specifically collects data by steps of:
s1: the staff inputs the acquired time period and the acquisition frequency to the data acquisition module through the mobile phone terminal;
s2: the data acquisition module receives and stores the acquired time period and the acquired frequency;
s3: when the current time of the system is equal to the starting time of the acquisition time period, the data acquisition module acquires stage pictures of a performance stage and transmits the stage pictures to the controller, and the acquisition frequency is equal to the received acquisition frequency; and when the current time of the system is equal to the end time of the acquired time period, the data acquisition module stops acquiring.
3. The system according to claim 1, further comprising a data entry module and a data storage module, wherein the data entry module is configured to allow a worker to enter a preset profile picture and a corresponding instruction through a computer terminal and send the preset profile picture and the corresponding instruction to the data storage module through the controller for storage, wherein the corresponding instruction includes an instruction code, a material for playing music, a playing time, and brightness, color, an illumination angle, an illumination time and an illumination duration of stage lighting.
4. The system for detecting stage performance scheduling behaviors of claim 3, further comprising a registration login module and a staff analysis module, wherein the registration login module is used for a staff to submit registration information for registration through a mobile phone terminal and send the registration information which is successfully registered to the data storage module through the controller for storage; the registration information comprises a name, a mobile phone number, an enrollment time, an age and a job title;
the personnel analysis module is used for acquiring and analyzing the registration information, and the specific analysis steps are as follows:
SS 1: calculating the time difference between the working time of the staff and the current system time to obtain the working time of the staff, and marking the working time as T1;
SS 2: setting a preset job value corresponding to all job names, matching the job names of the staff with all the job names to obtain the corresponding preset job value, and marking the preset job value as T2;
SS 3: the age of the staff is marked as T3; carrying out dequantization processing on the working duration, the preset value of the job title and the age of a worker and taking the numerical values of the working duration, the preset value of the job title and the age of the worker;
SS 4: acquiring a staff value ZT of a staff by using a formula ZT of T1 × b2+ T2 × b3+ T3 × b 4; wherein b2, b3 and b4 are all preset proportionality coefficients;
SS 5: and the personnel analysis module sends the personnel value to the data storage module for storage through control.
5. A stage performance scheduling behavior detection system according to claim 4, further comprising a remote control module, wherein the remote control module is used for a worker to control sound and stage lights on a performance stage through a mobile phone terminal in a remote manner, and specifically comprises: and acquiring the personnel value of a worker, and when the personnel value is greater than a set threshold value, controlling the subject and the playing time of the music playing of the stage sound equipment and the brightness, the color, the illumination angle, the illumination time and the illumination duration of the stage lamp by the worker through a mobile phone terminal.
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