CN113194291B - Video monitoring system and method based on big data - Google Patents

Video monitoring system and method based on big data Download PDF

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Publication number
CN113194291B
CN113194291B CN202110471027.9A CN202110471027A CN113194291B CN 113194291 B CN113194291 B CN 113194291B CN 202110471027 A CN202110471027 A CN 202110471027A CN 113194291 B CN113194291 B CN 113194291B
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module
information
face information
ticket
film
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CN113194291A (en
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陈立勋
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Dongguan Zhongfu Big Data Co.,Ltd.
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Guangzhou Qitong Information Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/10Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit

Abstract

The invention discloses a video monitoring system and a method based on big data, which comprises an image acquisition module, a face information input module, a face information storage module, an effective duration setting module, a face information identification comparison module, a face marking module, a moving track generation module, a showing information acquisition module, a ticket selling information acquisition module, a ticket evading person judgment module, a ticket evading person marking module and a ticket evading early warning module, and has the advantages that: the method comprises the steps of inputting and storing face information of film viewers during ticket checking, setting effective storage duration of the face information according to a currently watched film, monitoring departure time of the film viewers according to the effective storage duration, marking the film viewers which exceed the effective storage duration and do not leave the film viewers to obtain movement track information of the film viewers, judging whether the current film viewers are ticket evasion persons according to the movement track information to relieve pressure of cinema managers and monitor the non-civilized behavior of ticket evasion.

Description

Video monitoring system and method based on big data
Technical Field
The invention relates to the technical field of video monitoring, in particular to a video monitoring system and method based on big data.
Background
The monitoring system is composed of 5 major parts of camera shooting, transmission, control, display, record and the like, the camera transmits video images to the control host through a coaxial video cable, a network cable and an optical fiber, the control host distributes the video signals to each monitor and video equipment, meanwhile, voice signals needing to be transmitted can be synchronously recorded into the video recorder, an operator can send instructions through the control host to control the up-down, left-right and left-right actions of the cloud deck and perform focusing and zooming operations on the lens, the switching between the multi-path camera and the cloud deck can be realized through the control host, and the images can be recorded, played back, processed and the like by utilizing a special video processing mode, so that the video recording effect is optimal.
In order to monitor the unlawful act, the cinema is also provided with a monitoring camera, but because the number of cameras is too many, a plurality of people are needed to see the movie, so that the labor cost is high, the cinema is not cost-effective, so that at present, all video monitoring cameras basically have no professional staff to take charge of viewing all the time, the monitoring aims to trace and have basis for the problem after the problem occurs, thus providing opportunities for ticket evacuees who only buy one ticket to see a plurality of movies, although the situation patrol occurs during the movie showing period, errors can be avoided under the condition of number of viewers, the ticket evading act is an unlawful act, in the prior art, the number of viewers entering the cinema is detected by setting an infrared number counter, but errors can exist by depending on the number of viewers detected by the infrared number counter, the data is inaccurate, and the specific position of the ticket evading person can not be accurately found, and the ticket evading person still needs to enter a movie hall, so that the movie watching experience of other people can be influenced.
Based on the above problems, it is urgently needed to provide a video monitoring system and method based on big data, by inputting and storing face information of film viewers during ticket checking, and further setting effective storage duration of the face information according to currently watched movie information, monitoring departure time of the film viewers according to the effective storage duration, marking the film viewers who still leave the movie viewers beyond the effective storage duration, acquiring movement track information of the film viewers, and judging whether the current film viewers are ticket evasion persons according to the movement track information, the system can reduce pressure of cinema managers, and timely detect out the illicit behavior of ticket evasion.
Disclosure of Invention
The present invention is directed to a video monitoring system and method based on big data, so as to solve the problems mentioned in the background art.
In order to solve the technical problems, the invention provides the following technical scheme:
a video monitoring system based on big data comprises an image acquisition module, a face information input module, a face information storage module, an effective time setting module, a face information identification and comparison module, a face marking module, a moving track generation module, a showing information acquisition module, a ticket selling information acquisition module, a ticket evading person judgment module, a ticket evading person marking module and a ticket evading early warning module,
the image acquisition module is used for acquiring real-time images in a cinema, the face information input module is used for inputting face information of film viewers before and after film viewing, and recording the number of non-ticket-buying children and the number of ticket-buying persons entering the cinema when inputting, the face information storage module is used for storing the input face information, the effective duration setting module is used for setting according to the ending time node of a film watched by the film viewers and the input time node when inputting the face information, the face information identification comparison module is used for identifying and comparing the acquired face information with the face information stored in the face information storage module, the face marking module is used for marking the face information stored in the face information storage module, and the movement track generation module is used for generating the movement track of the marked film viewers, the showing information acquisition module is used for acquiring showing information of a film, the showing information comprises a film showing time node, a film ending time node and a showing hall, the ticketing information acquisition module is used for acquiring ticketing information of each film, the ticket evading person judgment module is used for judging whether the current marked film evading person is a ticket evading person according to the moving track of the marked film evading person, the ticket evading person marking module is used for marking the ticket evading person according to the judgment result of the ticket evading person judgment module, and the ticket evading early warning module is used for generating early warning information and giving an early warning to the current ticket evading behavior.
Further, the face information input module is connected with the face information storage module, the face information storage module is connected with the effective duration setting module and the showing information acquisition module,
the face information recording module records face information of film viewers during ticket checking, records the number of children who do not buy tickets and the number of ticket buying entrances during recording, the face information storage module stores the recorded face information, and simultaneously stores face information and recording time nodes corresponding to the face information, the face information storage module also establishes a corresponding relation between the face information and showing information and further stores the showing information, the effective duration setting module acquires the showing information through the face information storage module, extracts a film ending time node in the showing information, sets effective storage duration of corresponding face information according to the recording time node, the film showing time node and the film ending time node, and generally fails to take effective measures against ticket evasion behaviors in domestic cinema at present, some people only buy one movie ticket, but after the movie showing is finished, go to some places such as a washroom and the like until the next movie is opened, or directly enter other opened movie halls to live in a fleeing way to watch the movie, but the behavior is an uneventful behavior and brings trouble to the management of the movie theater, so that the face information acquisition and the number of unwatched children are carried out aiming at the movie viewers when the ticket is checked, so as to determine the actual number of movie viewers in the corresponding movie hall, then limit an effective storage time length for the storage of the information according to the time length of the movie and the time when the ticket checking is started, if the people do not leave the movie theater when the effective storage time length is exceeded, the corresponding movie viewers are very likely to live in a fleeing way to watch the movie, extract the face information of the corresponding movie viewers, and mark the face information, therefore, whether the current corresponding film watching personnel have the non-civilized behavior of the ticket evasion fleeing site watching is judged through subsequent analysis, so that the management pressure of movie theater workers is relieved.
Further, the effective time length setting module obtains the effective storage time length of the corresponding face information in the face information storage module through calculation, and the effective storage time length
Figure 450918DEST_PATH_IMAGE002
Wherein, in the step (A),
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in order to log in the time node,
Figure 588693DEST_PATH_IMAGE006
the time node is shown for the movie,
Figure 964310DEST_PATH_IMAGE008
limiting an effective storage time length for the storage of the face information according to the time length of the film and the time node when ticket checking starts, if the movie does not leave the movie theater after the effective storage time length is exceeded, indicating that the corresponding film watching personnel is most likely to flee to watch the film, marking the face information of the corresponding film watching personnel, tracking the mark, generating a moving track, judging whether the corresponding film watching personnel flee according to the moving track,
the face information input module acquires the effective storage time of the corresponding face information through the face information storage module,
if the face information of the corresponding film watching personnel is input again by the face information input module within the effective storage duration, the face information of the corresponding film watching personnel is deleted by the face information storage module;
if the effective storage duration is exceeded, the face information of the corresponding film watching personnel is not recorded into the face information recording module, the face information recording module acquires the face information of the corresponding film watching personnel through the face information storage module and transmits the face information to the face marking module, the face marking module marks the received face information, and the marked face information is first face information.
Further, the face marking module is connected with the image acquisition module, the face information identification and comparison module and the movement track generation module,
the image acquisition module acquires real-time images in a cinema, the face information in the acquired real-time images is identified through the face information identification and comparison module, the identified face information is second face information, the second face information is compared with the first face information through the face information identification and comparison module,
when the second face information is consistent with the first face information, the image acquisition module locks the film watching personnel corresponding to the second face information, transmits the acquired second face information of the film watching personnel to be locked to the moving track generation module, attaches the position information of the film watching personnel to be locked corresponding to the second face information and the time node information corresponding to the position information during transmission, determines the position of the film watching personnel to be locked through image acquisition and face recognition, can establish a moving track of the film watching personnel to be locked according to the corresponding relation between the time information and the position information, and analyzes the moving information of the film watching personnel to be locked through the moving track,
further, the moving track generating module generates the moving track of the locked film watching person according to the position information and the time node information and the sequence of the time nodes,
the moving track generating module is also connected with a showing information acquiring module, the moving track generating module acquires the information of a movie hall which is showing in real time through the showing information acquiring module and further marks the movie hall which is showing in real time, if the moving track of the person to be locked is ended within a certain range of any marked movie hall and the ending time exceeds a time threshold value, the image acquisition module further acquires the real-time image information in any marked movie hall, the movie hall is marked first, the purpose of ticket evasion is to watch a movie, so that the movie hall which is showing or is about to show is marked, whether the ending position of the moving track is within the range of any marked movie hall is judged, if so, the person to be locked is probably watching the movie in a fleeing field, therefore, the images in the marked movie hall within a certain range of the ending place of the moving track of the current locked person are further collected, and whether the ticket evading behavior exists is judged according to the comparison between the face information in the collected images and the face information of the current locked person.
Further, the moving track generating module is connected with the image collecting module, when the moving track of the person to be locked is stopped in a certain range of any marked movie hall, and the stopping time exceeds a time threshold, the image collecting module collects images in any marked movie hall in real time, transmits the collected images to the face information identifying and comparing module, the face information identifying and comparing module obtains second face information of the person to be locked through the image collecting module,
if the face information identification comparison module identifies second face information of the locked film watching personnel, ticket buying information of the locked film watching personnel is further acquired through the ticket selling information acquisition module;
if the face information identification comparison module does not identify the second face information of the locked watching personnel, the ticket selling quantity information of the movie tickets in the marked movie hall is further acquired through the ticket selling information acquisition module, the number of the personnel in the current marked movie hall is counted through the image acquired by the image acquisition module, but the complete face information cannot be acquired due to angle reasons or hat wearing in the movie hall, so that the number of the watching personnel, the ticket selling quantity and the number of the children who do not purchase tickets in the movie hall are further detected for the difference of the number of people in the current movie hall.
Furthermore, the face information identification and comparison module is connected with a ticket evading person judgment module, the ticket evading person judgment module further acquires ticket purchasing information of the locked watching person through the ticketing information acquisition module, the ticket evading person judgment module extracts the ticket purchasing information of the locked watching person according to the identified second face information of the locked watching person, further acquires upper studio information in the ticket purchasing information,
the ticket evading person judging module judges whether the current locked film watching person is a ticket evading person or not by comparing the upper film studio information with the marked film studio information,
when the upper mapping hall information is consistent with the marked mapping hall information, the current locked film viewer is not a ticket evasion person;
when the mapping information of the upper mapping studio is inconsistent with the marked mapping information of the lower mapping studio, the current locked viewing personnel are ticket evasion personnel, the ticket evasion personnel judgment module is connected with the ticket evasion personnel marking module and the ticket evasion early warning module, the ticket evasion personnel marking module marks the current locked personnel and obtains the accurate seat number information of the current locked personnel, and the ticket evasion early warning module obtains the seat number information of the locked personnel and the marked mapping information of the lower mapping studio and generates ticket evasion early warning according to the obtained information.
Further, the ticketing information acquisition module is connected with a ticket evading person judgment module, the ticket evading person judgment module further acquires the number N of sold movie tickets, the number M of unpicked children and the number M of ticket buying entrances of the marked movie hall through the ticketing information acquisition module, and further counts the number of film watching persons in the marked movie hall by the acquired real-time image, and sets the number of the film watching persons as N,
when N is greater than N, if N-N is greater than M, the value of N-M is the number of people who do not purchase tickets and enter the venue, but all children who do not purchase tickets and enter the venue are counted, the count is M, if the value of N-M is greater than M, it is indicated that other people who do not purchase tickets and enter the venue still exist in the current photo studio, early warning is carried out through a ticket evasion early warning module, and early warning information is generated, wherein the early warning information comprises marked photo studio information;
when N = N, if N-M > M, N = N shows that the number of actual film watching persons is consistent with the number of ticket selling, because some persons may buy tickets but the movie is not watched in the cinema due to temporary situation, the value of N-M is the number of persons buying tickets and entering the cinema, that is, the number of persons buying tickets and watching movies in the cinema, if the value of N-M is larger than M, it shows that other persons not buying tickets and entering the cinema exist in the current cinema, the warning is performed through the ticket evasion warning module, and warning information is generated, wherein the warning information comprises marked cinema information.
Further, a video monitoring method based on big data includes the following steps:
s1: recording face information of film viewers who purchase tickets, recording the number of children who do not purchase tickets and the number of people who purchase tickets at the admission place, and storing a recording time node;
s2: setting effective storage time length of corresponding face information according to the input time node, the movie opening time node and the movie ending time node, deleting the face information of the off-site film viewers in the effective storage time length, and marking the face information of the off-site film viewers which exceed the effective storage time length and are not off-site;
s3: generating a moving track of the film viewer according to the position of the film viewer corresponding to the marked face information and the time node corresponding to the position and the sequence of the time node;
s4: marking the photo hall according to the moving track information, collecting real-time images in the marked photo hall, and identifying face information on the collected images;
s5: and judging whether ticket evasion personnel exist in the marked photo hall according to the face information identification result, the ticketing information, the number of the children who do not purchase tickets and the number of people who purchase tickets at the admission place, and if so, carrying out early warning through an escape early warning module and generating early warning information.
Further, the video monitoring method further comprises the following steps:
s1-1: the face information input module is connected with the face information storage module, the face information storage module is connected with the effective duration setting module and the showing information acquisition module,
the face information input module inputs face information of film viewers during ticket checking, the number of children who do not buy tickets and the number of ticket buying entrances are recorded during input, the face information storage module stores the input face information, input time nodes corresponding to the face information are stored while the face information is stored, the face information storage module further establishes a corresponding relation between the face information and the showing information and further stores the showing information, the effective duration setting module acquires the showing information through the face information storage module, extracts a film ending time node in the showing information, and sets effective storage duration of the corresponding face information according to the input time nodes, the film opening time node and the film ending time node;
s2-1: the effective time length setting module obtains the effective storage time length of the corresponding face information in the face information storage module through calculation, and the effective storage time length
Figure 181665DEST_PATH_IMAGE002
Wherein, in the step (A),
Figure DEST_PATH_IMAGE009
in order to log in the time node,
Figure DEST_PATH_IMAGE010
the time node is shown for the movie,
Figure 437591DEST_PATH_IMAGE008
for the end-of-movie time node,
the face information input module acquires the effective storage time of the corresponding face information through the face information storage module,
if the face information of the corresponding film watching personnel is input into the face information input module again within the effective storage duration, the face information storage module deletes the face information of the corresponding film watching personnel;
if the effective storage duration is exceeded, the face information of the corresponding film viewing personnel is not recorded into the face information recording module, the face information recording module acquires the face information of the corresponding film viewing personnel through the face information storage module and transmits the face information to the face marking module, the face marking module marks the received face information, and the marked face information is first face information;
s3-1: the face marking module is connected with the image acquisition module, the face information identification and comparison module and the movement track generation module,
the image acquisition module acquires real-time images in a cinema, the face information in the acquired real-time images is identified through the face information identification and comparison module, the identified face information is second face information, the second face information is compared with the first face information through the face information identification and comparison module,
when the second face information is consistent with the first face information, the image acquisition module locks the film watching personnel corresponding to the second face information, transmits the acquired second face information of the film watching personnel to be locked to the moving track generation module, and attaches the position information of the film watching personnel to be locked corresponding to the second face information and the time node information corresponding to the position information during transmission,
the moving track generating module generates a moving track of the locked film watching personnel according to the position information and the time node information and the sequence of the time nodes;
s4-1: the moving track generating module is also connected with the showing information acquiring module, the moving track generating module acquires the information of the showing studio in real time through the showing information acquiring module and further marks the showing studio in real time, if the moving track of the person to be locked is ended within a certain range of any marked studio and the ending time exceeds a time threshold value, the image acquiring module further acquires the real-time image information in any marked studio,
the moving track generating module is connected with the image acquisition module, when the moving track of the person to be locked is stopped in a certain range of any marked movie hall, and the stopping time exceeds a time threshold, the image acquisition module acquires images in any marked movie hall in real time, the acquired images are transmitted to the face information identification comparison module, and the face information identification comparison module acquires second face information of the person to be locked through the image acquisition module and identifies the face information in the acquired images;
s5-1: if the face information identification comparison module identifies the second face information of the person to be locked, ticket buying information of the person to be locked is further acquired through the ticket selling information acquisition module,
the ticket evading person judging module further obtains the ticket purchasing information of the locked watching person through the ticket selling information obtaining module, extracts the ticket purchasing information of the locked watching person according to the identified second face information of the locked watching person, further obtains the upper photosite information in the ticket purchasing information,
the ticket evading person judging module judges whether the current locked film watching person is the ticket evading person or not by comparing the upper film studio information with the marked film studio information,
when the information of the upper mapping hall is consistent with the marked mapping hall information, the current locked film viewer is not a ticket evasion person;
if the face information identification comparison module does not identify the second face information of the person to be locked, the ticket selling quantity information of the movie tickets in the marked movie hall is further acquired through the ticket selling information acquisition module, the number of the persons in the marked movie hall is counted through the image acquired by the image acquisition module,
when the upper mapping hall information and the marked mapping hall information are all inconsistent, the currently locked watching staff is the ticket evading staff, the ticket evading staff judging module is connected with the ticket evading staff marking module and the ticket evading early warning module, the ticket evading staff marking module marks the currently locked staff and obtains the accurate seat number information of the currently locked staff, the ticket evading early warning module obtains the seat number information of the locked staff and the marked mapping hall information and generates ticket evading early warning according to the obtained information,
the ticket selling information acquisition module is connected with the ticket evading person judgment module, the ticket evading person judgment module further acquires the number N of the movie tickets sold in the marked movie hall, the number M of the children who do not buy the tickets and the number M of ticket buying persons entering the movie hall through the ticket selling information acquisition module, and further counts the number of the watching persons in the marked movie hall by the acquired real-time images, the number of the watching persons is set as N,
when N is greater than N, if N-N is greater than m, early warning is carried out through the ticket evasion early warning module, and early warning information is generated and comprises marked movie hall information;
and when N = N, if N-M > M, performing early warning through the ticket evasion early warning module, and generating early warning information, wherein the early warning information comprises marked movie hall information.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the face information of the film watching personnel is input and stored during ticket checking, the effective storage time of the face information is further set according to the currently watched movie information, the departure time of the film watching personnel is monitored according to the effective storage time, the film watching personnel who still leave the movie watching personnel beyond the effective storage time is marked to obtain the moving track information of the film watching personnel, and whether the current film watching personnel are ticket evasion personnel is judged according to the moving track information.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a big data based video surveillance system of the present invention;
fig. 2 is a schematic step diagram of a video monitoring method based on big data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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. 1-2, the present invention provides a technical solution:
a video monitoring system based on big data comprises an image acquisition module, a face information input module, a face information storage module, an effective time setting module, a face information identification and comparison module, a face marking module, a moving track generation module, a showing information acquisition module, a ticket selling information acquisition module, a ticket evading person judgment module, a ticket evading person marking module and a ticket evading early warning module,
the movie theater system comprises an image acquisition module, a face information input module, a face information storage module, an effective duration setting module, a face information identification and comparison module, a face marking module, a moving track generation module and a showing information acquisition module, wherein the image acquisition module is used for acquiring real-time images in a movie theater, the face information input module is used for inputting face information of film viewers before and after film viewing, and recording the number of unwatched children and ticket-buying persons, the face information storage module is used for storing the input face information, the effective duration setting module is used for setting according to an ending time node of a film watched by the film viewers and an input time node when the face information is input, the face information identification and comparison module is used for identifying and comparing the acquired face information with the face information stored in the face information storage module, the face marking module is used for marking the face information stored in the face information storage module, the moving track generation module is used for generating moving tracks of marked film viewers, and the showing information acquisition module is used for acquiring showing information of the film, the showing information comprises a film showing time node, a film ending time node and a showing hall, the ticketing information acquisition module is used for acquiring ticketing information of each film, the ticket evading person judgment module is used for judging whether a current marked film viewing person is a ticket evading person according to the moving track of the marked film viewing person, the ticket evading person marking module is used for marking the ticket evading person according to the judgment result of the ticket evading person judgment module, and the ticket evading early warning module is used for generating early warning information and giving an early warning to the current ticket evading behavior.
The face information input module is connected with the face information storage module, the face information storage module is connected with the effective duration setting module and the showing information acquisition module,
the face information recording module records face information of film viewers during ticket checking, the number of children who do not buy tickets and the number of ticket buying entrances are recorded during recording, the face information storage module stores the recorded face information, recording time nodes corresponding to the face information are stored while the face information is stored, the face information storage module further establishes a corresponding relation between the face information and the showing information and further stores the showing information, the effective duration setting module acquires the showing information through the face information storage module, extracts a film ending time node in the showing information, and sets effective storage duration of the corresponding face information according to the recording time nodes, the film opening time node and the film ending time node.
The effective time length setting module obtains the effective storage time length of the corresponding face information in the face information storage module through calculation, and the effective storage time length is effectively storedDuration of time
Figure DEST_PATH_IMAGE011
Wherein, in the step (A),
Figure 160827DEST_PATH_IMAGE004
in order to log in the time node,
Figure 882795DEST_PATH_IMAGE010
the time node is shown for the movie,
Figure 779207DEST_PATH_IMAGE008
for the end-of-movie time node,
the face information input module acquires the effective storage time of the corresponding face information through the face information storage module,
if the face information of the corresponding film watching personnel is input into the face information input module again within the effective storage duration, the face information storage module deletes the face information of the corresponding film watching personnel;
if the effective storage duration is exceeded, the face information of the corresponding film viewing personnel is not recorded into the face information recording module, the face information recording module acquires the face information of the corresponding film viewing personnel through the face information storage module and transmits the face information to the face marking module, the face marking module marks the received face information, and the marked face information is first face information.
The face marking module is connected with the image acquisition module, the face information identification and comparison module and the movement track generation module,
the image acquisition module acquires real-time images in a cinema, the face information in the acquired real-time images is identified through the face information identification and comparison module, the identified face information is second face information, the second face information is compared with the first face information through the face information identification and comparison module,
when the second face information is consistent with the first face information, the image acquisition module locks the film watching personnel corresponding to the second face information, transmits the acquired second face information of the film watching personnel to the moving track generation module, and attaches the position information of the film watching personnel corresponding to the second face information and the time node information corresponding to the position information.
The moving track generating module generates the moving track of the locked film watching personnel according to the position information and the time node information and the sequence of the time nodes,
the moving track generating module is also connected with the showing information acquiring module, the moving track generating module acquires the information of the showing studio in real time through the showing information acquiring module and further marks the showing studio in real time, and if the moving track of the locked film viewer is ended within a certain range of any marked film studio and the ending time exceeds a time threshold, the image acquisition module further acquires the real-time image information in any marked film studio.
The moving track generating module is connected with the image acquisition module, when the moving track of the person to be locked is stopped in a certain range of any marked movie hall, and the stopping time exceeds a time threshold, the image acquisition module acquires images in any marked movie hall in real time, the acquired images are transmitted to the face information identification comparison module, the face information identification comparison module acquires second face information of the person to be locked through the image acquisition module,
if the face information identification comparison module identifies second face information of the person to be locked for viewing, ticket booking information of the person to be locked for viewing is further acquired through the ticket selling information acquisition module;
if the face information identification comparison module does not identify second face information of the person to be locked, the ticket selling quantity information of the movie tickets in the marked movie hall is further acquired through the ticket selling information acquisition module, and the number of the persons in the current marked movie hall is counted through the images acquired by the image acquisition module.
The face information identification comparison module is connected with the ticket evading person judgment module, the ticket evading person judgment module further acquires the ticket purchasing information of the locked watching person through the ticket selling information acquisition module, the ticket evading person judgment module extracts the ticket purchasing information of the locked watching person according to the second face information of the identified locked watching person, and further acquires the upper image studio information in the ticket purchasing information,
the ticket evading person judging module judges whether the current locked film watching person is the ticket evading person or not by comparing the upper film studio information with the marked film studio information,
when the information of the upper mapping hall is consistent with the marked mapping hall information, the current locked film viewer is not a ticket evasion person;
when the mapping information and the marked mapping information are all inconsistent, the current locked viewing personnel are ticket evasion personnel, the ticket evasion personnel judgment module is connected with the ticket evasion personnel marking module and the ticket evasion early warning module, the ticket evasion personnel marking module marks the current locked personnel and acquires accurate seat number information of the current locked personnel, and the ticket evasion early warning module acquires the seat number information of the locked personnel, the marked mapping information and generates ticket evasion early warning according to the acquired information.
The ticket selling information acquisition module is connected with the ticket evading person judgment module, the ticket evading person judgment module further acquires the number N of the movie tickets sold in the marked movie hall, the number M of the children who do not buy the tickets and the number M of ticket buying persons entering the movie hall through the ticket selling information acquisition module, and further counts the number of the watching persons in the marked movie hall by the acquired real-time images, the number of the watching persons is set as N,
when N is greater than N, if N-N is greater than m, early warning is carried out through the ticket evasion early warning module, and early warning information is generated and comprises marked movie hall information;
and when N = N, if N-M > M, performing early warning through the ticket evasion early warning module, and generating early warning information, wherein the early warning information comprises marked movie hall information.
A video monitoring method based on big data comprises the following steps:
s1: recording face information of film viewers who purchase tickets, recording the number of children who do not purchase tickets and the number of people who purchase tickets at the admission place, and storing a recording time node;
s2: setting effective storage time length of corresponding face information according to the input time node, the movie opening time node and the movie ending time node, deleting the face information of the off-site film viewers in the effective storage time length, and marking the face information of the off-site film viewers which exceed the effective storage time length and are not off-site;
s3: generating a moving track of the film viewer according to the position of the film viewer corresponding to the marked face information and the time node corresponding to the position and the sequence of the time node;
s4: marking the photo hall according to the moving track information, collecting real-time images in the marked photo hall, and identifying face information on the collected images;
s5: and judging whether ticket evasion personnel exist in the marked photo hall according to the face information identification result, the ticketing information, the number of the children who do not purchase tickets and the number of people who purchase tickets at the admission place, and if so, carrying out early warning through an escape early warning module and generating early warning information.
The video monitoring method also comprises the following steps:
s1-1: the face information input module is connected with the face information storage module, the face information storage module is connected with the effective duration setting module and the showing information acquisition module,
the face information input module inputs face information of film viewers during ticket checking, the number of children who do not buy tickets and the number of ticket buying entrances are recorded during input, the face information storage module stores the input face information, input time nodes corresponding to the face information are stored while the face information is stored, the face information storage module further establishes a corresponding relation between the face information and the showing information and further stores the showing information, the effective duration setting module acquires the showing information through the face information storage module, extracts a film ending time node in the showing information, and sets effective storage duration of the corresponding face information according to the input time nodes, the film opening time node and the film ending time node;
s2-1: the effective time length setting module obtains corresponding face information in the face through calculationEffective storage duration of information storage module
Figure 745764DEST_PATH_IMAGE002
Wherein, in the step (A),
Figure 826852DEST_PATH_IMAGE009
in order to log in the time node,
Figure 911483DEST_PATH_IMAGE010
the time node is shown for the movie,
Figure 611586DEST_PATH_IMAGE008
for the end-of-movie time node,
the face information input module acquires the effective storage time of the corresponding face information through the face information storage module,
if the face information of the corresponding film watching personnel is input into the face information input module again within the effective storage duration, the face information storage module deletes the face information of the corresponding film watching personnel;
if the effective storage duration is exceeded, the face information of the corresponding film viewing personnel is not recorded into the face information recording module, the face information recording module acquires the face information of the corresponding film viewing personnel through the face information storage module and transmits the face information to the face marking module, the face marking module marks the received face information, and the marked face information is first face information;
s3-1: the face marking module is connected with the image acquisition module, the face information identification and comparison module and the movement track generation module,
the image acquisition module acquires real-time images in a cinema, the face information in the acquired real-time images is identified through the face information identification and comparison module, the identified face information is second face information, the second face information is compared with the first face information through the face information identification and comparison module,
when the second face information is consistent with the first face information, the image acquisition module locks the film watching personnel corresponding to the second face information, transmits the acquired second face information of the film watching personnel to be locked to the moving track generation module, and attaches the position information of the film watching personnel to be locked corresponding to the second face information and the time node information corresponding to the position information during transmission,
the moving track generating module generates a moving track of the locked film watching personnel according to the position information and the time node information and the sequence of the time nodes;
s4-1: the moving track generating module is also connected with the showing information acquiring module, the moving track generating module acquires the information of the showing studio in real time through the showing information acquiring module and further marks the showing studio in real time, if the moving track of the person to be locked is ended within a certain range of any marked studio and the ending time exceeds a time threshold value, the image acquiring module further acquires the real-time image information in any marked studio,
the moving track generating module is connected with the image acquisition module, when the moving track of the person to be locked is stopped in a certain range of any marked movie hall, and the stopping time exceeds a time threshold, the image acquisition module acquires images in any marked movie hall in real time, the acquired images are transmitted to the face information identification comparison module, and the face information identification comparison module acquires second face information of the person to be locked through the image acquisition module and identifies the face information in the acquired images;
s5-1: if the face information identification comparison module identifies the second face information of the person to be locked, ticket buying information of the person to be locked is further acquired through the ticket selling information acquisition module,
the ticket evading person judging module further obtains the ticket purchasing information of the locked watching person through the ticket selling information obtaining module, extracts the ticket purchasing information of the locked watching person according to the identified second face information of the locked watching person, further obtains the upper photosite information in the ticket purchasing information,
the ticket evading person judging module judges whether the current locked film watching person is the ticket evading person or not by comparing the upper film studio information with the marked film studio information,
when the information of the upper mapping hall is consistent with the marked mapping hall information, the current locked film viewer is not a ticket evasion person;
if the face information identification comparison module does not identify the second face information of the person to be locked, the ticket selling quantity information of the movie tickets in the marked movie hall is further acquired through the ticket selling information acquisition module, the number of the persons in the marked movie hall is counted through the image acquired by the image acquisition module,
when the upper mapping hall information and the marked mapping hall information are all inconsistent, the currently locked watching staff is the ticket evading staff, the ticket evading staff judging module is connected with the ticket evading staff marking module and the ticket evading early warning module, the ticket evading staff marking module marks the currently locked staff and obtains the accurate seat number information of the currently locked staff, the ticket evading early warning module obtains the seat number information of the locked staff and the marked mapping hall information and generates ticket evading early warning according to the obtained information,
the ticket selling information acquisition module is connected with the ticket evading person judgment module, the ticket evading person judgment module further acquires the number N of the movie tickets sold in the marked movie hall, the number M of the children who do not buy the tickets and the number M of ticket buying persons entering the movie hall through the ticket selling information acquisition module, and further counts the number of the watching persons in the marked movie hall by the acquired real-time images, the number of the watching persons is set as N,
when N is greater than N, if N-N is greater than m, early warning is carried out through the ticket evasion early warning module, and early warning information is generated and comprises marked movie hall information;
and when N = N, if N-M > M, performing early warning through the ticket evasion early warning module, and generating early warning information, wherein the early warning information comprises marked movie hall information.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. A video monitoring system based on big data, its characterized in that: the video monitoring system comprises an image acquisition module, a face information input module, a face information storage module, an effective duration setting module, a face information identification and comparison module, a face marking module, a moving track generation module, a showing information acquisition module, a ticketing information acquisition module, a ticket evading person judgment module, a ticket evading person marking module and a ticket evading early warning module,
the image acquisition module is used for acquiring real-time images in a cinema, the face information input module is used for inputting face information of film viewers before and after film viewing, the number of non-ticket-buying children and the number of ticket-buying persons entering the cinema are recorded during input, the face information storage module is used for storing the input face information, the effective time length setting module is used for setting the effective storage time length of the face information according to the ending time node of a film watched by the film viewers and the input time node during the input of the face information, the face information identification comparison module is used for identifying and comparing the acquired face information with the face information stored in the face information storage module, the face marking module is used for marking the face information stored in the face information storage module, and the showing information acquisition module is used for acquiring showing information of the film, the showing information comprises a movie showing time node, a movie ending time node and a showing hall, and the ticket selling information acquisition module is used for acquiring ticket selling information of each movie;
the face information input module is connected with the face information storage module, the face information storage module is connected with the effective duration setting module and the showing information acquisition module,
the system comprises a face information input module, a face information storage module, a display module, an effective duration setting module, a display module and a display module, wherein the face information input module inputs face information of film viewers during ticket checking, and records the number of children who do not buy tickets and the number of ticket buying entrances during input, the face information storage module stores the input face information and also stores input time nodes corresponding to the face information respectively while storing the face information, the face information storage module also establishes a corresponding relation between the face information and the showing information and further stores the showing information, the effective duration setting module acquires the showing information through the face information storage module, extracts film ending time nodes in the showing information, and sets effective storage durations of corresponding face information according to the input time nodes, the film opening time nodes and the film ending time nodes;
the effective time length setting module obtains the effective storage time length of the corresponding face information in the face information storage module through calculation, and the effective storage time length
Figure 456201DEST_PATH_IMAGE001
Wherein, in the step (A),
Figure 823729DEST_PATH_IMAGE002
in order to log in the time node,
Figure 235993DEST_PATH_IMAGE003
the time node is shown for the movie,
Figure 714379DEST_PATH_IMAGE004
for the end-of-movie time node,
the face information input module acquires the effective storage time of the corresponding face information through the face information storage module,
if the face information of the corresponding film watching personnel is input again by the face information input module within the effective storage duration, the face information of the corresponding film watching personnel is deleted by the face information storage module;
if the effective storage duration is exceeded, the face information of the corresponding film viewing personnel is not recorded into the face information recording module, the face information recording module acquires the face information of the corresponding film viewing personnel through the face information storage module and transmits the face information to the face marking module, the face marking module marks the received face information, and the marked face information is first face information;
the face marking module is connected with the image acquisition module, the face information identification and comparison module and the movement track generation module,
the image acquisition module acquires real-time images in a cinema, the face information in the acquired real-time images is identified through the face information identification and comparison module, the identified face information is second face information, the second face information is compared with the first face information through the face information identification and comparison module,
when the second face information is consistent with the first face information, the image acquisition module locks the film watching personnel corresponding to the second face information, transmits the acquired second face information of the film watching personnel to be locked to the moving track generation module, and attaches position information of the film watching personnel to be locked corresponding to the second face information and time node information corresponding to the position information while transmitting;
the system comprises a mobile track generation module, an escaper judgment module, an escaper marking module and an early warning module, wherein the mobile track generation module is used for generating a mobile track of a locked film watching person, the escaper judgment module is used for judging whether the current locked film watching person is an escaper according to the mobile track of the locked film watching person, the escaper marking module is used for marking the escaper according to a judgment result of the escaper judgment module, and the escaper early warning module is used for generating early warning information and giving an early warning to current escaped tickets.
2. The big data based video surveillance system of claim 1, wherein: the moving track generating module generates the moving track of the locked film watching person according to the position information and the time node information and the sequence of time nodes,
the moving track generating module is also connected with a showing information acquiring module, the moving track generating module acquires the information of the showing studio in real time through the showing information acquiring module and further marks the showing studio in real time, and if the moving track of the locked film viewer is ended within a certain range of any marked film studio and the ending time exceeds a time threshold, the image acquisition module further acquires the real-time image information in any marked film studio.
3. The big data based video surveillance system of claim 2, wherein: the moving track generating module is connected with the image collecting module, when the moving track of the person to be locked is stopped in a certain range of any marked movie hall, and the stopping time exceeds a time threshold value, the image collecting module collects images in any marked movie hall in real time and transmits the collected images to the face information identifying and comparing module, the face information identifying and comparing module obtains second face information of the person to be locked through the image collecting module,
if the face information identification comparison module identifies second face information of the locked film watching personnel, ticket buying information of the locked film watching personnel is further acquired through the ticket selling information acquisition module;
if the face information identification comparison module does not identify the second face information of the locked film watching personnel, the ticket selling quantity information of the film tickets in the marked film hall is further acquired through the ticket selling information acquisition module, and the number of the personnel in the current marked film hall is counted through the image acquired by the image acquisition module.
4. The big data based video surveillance system of claim 3, wherein: the face information identification and comparison module is connected with a ticket evading person judgment module, the ticket evading person judgment module further acquires ticket purchasing information of the locked watching person through the ticketing information acquisition module, the ticket evading person judgment module extracts the ticket purchasing information of the locked watching person according to the identified second face information of the locked watching person and further acquires the upper mapping hall information in the ticket purchasing information,
the ticket evading person judging module judges whether the current locked film watching person is a ticket evading person or not by comparing the upper film studio information with the marked film studio information,
when the upper mapping hall information is consistent with the marked mapping hall information, the current locked film viewer is not a ticket evasion person;
when the mapping information of the upper mapping studio is inconsistent with the marked mapping information of the lower mapping studio, the current locked viewing personnel are ticket evasion personnel, the ticket evasion personnel judgment module is connected with the ticket evasion personnel marking module and the ticket evasion early warning module, the ticket evasion personnel marking module marks the current locked personnel and obtains the accurate seat number information of the current locked personnel, and the ticket evasion early warning module obtains the seat number information of the locked personnel and the marked mapping information of the lower mapping studio and generates ticket evasion early warning according to the obtained information.
5. The big data based video surveillance system of claim 3, wherein: the ticket selling information acquisition module is connected with a ticket evading person judgment module, the ticket evading person judgment module further acquires the number N of sold movie tickets, the number M of children who do not purchase tickets and the number M of ticket buying persons in a ticket buying place through the ticket selling information acquisition module, and further counts the number of film watching persons in the marked movie hall by the acquired real-time image, the number of the film watching persons is set as N,
when N is greater than N, if N-N is greater than m, early warning is carried out through a ticket evasion early warning module, and early warning information is generated and comprises marked movie hall information;
and when N = N, if N-M > M, performing early warning through a ticket evasion early warning module, and generating early warning information, wherein the early warning information comprises marked movie hall information.
6. A video monitoring method based on big data is characterized in that: the video monitoring method comprises the following steps:
s1: recording face information of film viewers who purchase tickets, recording the number of children who do not purchase tickets and the number of people who purchase tickets at the admission place, and storing a recording time node;
s2: setting effective storage time length of corresponding face information according to the input time node, the movie opening time node and the movie ending time node, deleting the face information of the off-site film viewers in the effective storage time length, and marking the face information of the off-site film viewers which exceed the effective storage time length and are not off-site;
s3: generating a moving track of the film viewer according to the position of the film viewer corresponding to the marked face information and the time node corresponding to the position and the sequence of the time node;
s4: marking the photo hall according to the moving track information, collecting real-time images in the marked photo hall, and identifying face information on the collected images;
s5: and judging whether ticket evasion personnel exist in the marked photo hall according to the face information identification result, the ticketing information, the number of the children who do not purchase tickets and the number of people who purchase tickets at the admission place, and if so, carrying out early warning through an escape early warning module and generating early warning information.
7. A video monitoring method based on big data is characterized in that: the video monitoring method comprises the following steps:
s1-1: the face information input module is used for inputting face information of film viewers during ticket checking, and recording the number of children who do not buy tickets and the number of ticket buying entrances during input, the face information storage module is used for storing the input face information, and simultaneously storing input time nodes corresponding to the face information, and the face information storage module is used for establishing a corresponding relation between the face information and the showing information and further storing the showing information;
s2-1: the effective duration setting module acquires the showing information through the face information storage module, extracts the film ending time node in the showing information, and sets the effective storage duration of the corresponding face information according to the input time node, the film opening time node and the film ending time node
Figure 295533DEST_PATH_IMAGE005
Effective storage duration
Figure 568383DEST_PATH_IMAGE001
Wherein, in the step (A),
Figure 467943DEST_PATH_IMAGE006
in order to log in the time node,
Figure 484441DEST_PATH_IMAGE003
the time node is shown for the movie,
Figure 185681DEST_PATH_IMAGE004
for the end-of-movie time node,
the face information input module acquires the effective storage time of the corresponding face information through the face information storage module,
if the face information of the corresponding film watching personnel is input into the face information input module again within the effective storage duration, the face information storage module deletes the face information of the corresponding film watching personnel;
if the effective storage duration is exceeded, the face information of the corresponding film viewing personnel is not recorded into the face information recording module, the face information recording module acquires the face information of the corresponding film viewing personnel through the face information storage module and transmits the face information to the face marking module, the face marking module marks the received face information, and the marked face information is first face information;
s3-1: the image acquisition module acquires real-time images in a cinema, the face information in the acquired real-time images is identified through the face information identification and comparison module, the identified face information is second face information, the second face information is compared with the first face information through the face information identification and comparison module,
when the second face information is consistent with the first face information, the image acquisition module locks the film watching personnel corresponding to the second face information, transmits the acquired second face information of the film watching personnel to be locked to the moving track generation module, and attaches the position information of the film watching personnel to be locked corresponding to the second face information and the time node information corresponding to the position information during transmission,
the moving track generating module generates a moving track of the locked film watching personnel according to the position information and the time node information and the sequence of the time nodes;
s4-1: the moving track generating module acquires the information of the movie hall which is showing in real time through the showing information acquiring module, further marks the movie hall which is showing, and further acquires the real-time image information in any marked movie hall through the image acquiring module if the moving track of the person to be locked ends within a certain range of any marked movie hall and the ending time exceeds a time threshold value,
when the moving track of the person to be locked in the film shop is stopped within a certain range of any marked film shop and the stopping time exceeds a time threshold, the image acquisition module acquires images in any marked film shop in real time and transmits the acquired images to the face information identification comparison module, and the face information identification comparison module acquires second face information of the person to be locked in the film shop through the image acquisition module and identifies the face information in the acquired images;
s5-1: if the face information identification comparison module identifies the second face information of the person to be locked, ticket buying information of the person to be locked is further acquired through the ticket selling information acquisition module,
the ticket evading person judging module further obtains the ticket purchasing information of the locked watching person through the ticket selling information obtaining module, extracts the ticket purchasing information of the locked watching person according to the identified second face information of the locked watching person, further obtains the upper photosite information in the ticket purchasing information,
the ticket evading person judging module judges whether the current locked film watching person is the ticket evading person or not by comparing the upper film studio information with the marked film studio information,
when the information of the upper mapping hall is consistent with the marked mapping hall information, the current locked film viewer is not a ticket evasion person;
if the face information identification comparison module does not identify the second face information of the person to be locked, the ticket selling quantity information of the movie tickets in the marked movie hall is further acquired through the ticket selling information acquisition module, the number of the persons in the marked movie hall is counted through the image acquired by the image acquisition module,
when the upper mapping hall information and the marked mapping hall information are all inconsistent, the current locked watching person is a ticket evading person, the ticket evading person marking module marks the current locked person and obtains accurate seat number information of the current locked person, the ticket evading early warning module obtains the seat number information of the locked person and the marked mapping hall information and generates ticket evading early warning according to the obtained information,
the ticket evading person judging module further acquires the number N of sold movie tickets, the number M of children who do not purchase tickets and the number M of persons who purchase tickets in the marked movie hall through the ticket selling information acquiring module, and further counts the number of film watching persons in the marked movie hall by the acquired real-time images, sets the number of the film watching persons as N,
when N is greater than N, if N-N is greater than m, early warning is carried out through the ticket evasion early warning module, and early warning information is generated and comprises marked movie hall information;
and when N = N, if N-M > M, performing early warning through the ticket evasion early warning module, and generating early warning information, wherein the early warning information comprises marked movie hall information.
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