CN111709281A - Intelligent security auxiliary system - Google Patents

Intelligent security auxiliary system Download PDF

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Publication number
CN111709281A
CN111709281A CN202010373166.3A CN202010373166A CN111709281A CN 111709281 A CN111709281 A CN 111709281A CN 202010373166 A CN202010373166 A CN 202010373166A CN 111709281 A CN111709281 A CN 111709281A
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video
response
management module
intelligent security
intelligent
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左俊健
林纯科
阴江涛
陈嫣然
李骁
张聪颖
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Beijing Tuchuang Times Technology Co ltd Wuhan Branch
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Beijing Tuchuang Times Technology Co ltd Wuhan Branch
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    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
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    • G06V10/20—Image preprocessing
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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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
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    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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    • G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0261—System arrangements wherein the object is to detect trespassing over a fixed physical boundary, e.g. the end of a garden
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract

The invention discloses an intelligent security auxiliary system which comprises an intelligent video module, an event management module, a response flow management module and a behavior prediction and path planning module, wherein the event management module is used for receiving a response flow; the intelligent security protection auxiliary system has the beneficial effects that the intelligent security protection auxiliary system is designed, so that a method for deeply combining video behavior analysis with scenes such as campus safety management, intelligent guidance of an office hall and the like is provided, behaviors of campus violence, theft, crossing of an enclosing wall, crowding and treading risks, crowding and the like are automatically identified, judgment, suspected problem marking, electronic record storage and relevant response are made at the first time, and omission caused by human eye checking and monitoring is avoided to a great extent to generate serious consequences; meanwhile, a convenient retrieval mode can be provided for investigation and evidence collection after the fact; a more scientific and friendly auxiliary decision can be provided in the emergency command process; moreover, the manpower for viewing the videos is not required to be increased along with the increase of the number of the video paths, and a large amount of manpower resources can be saved.

Description

Intelligent security auxiliary system
Technical Field
The invention relates to the technical field of security, in particular to an intelligent security auxiliary system.
Background
With the fact that national strategies for developing smart cities are clearly proposed in 2015, safety is a fundamental stone for city development, smart city construction focuses on safe construction of cities, namely scenes such as safe cities and community home security, and therefore smart security becomes the most important part of smart cities. With the advent of the great security age, the targets of security systems have been transformed into pre-analysis, pre-warning, in-process tracking, commanding, scheduling, etc. from post-investigation evidence-taking.
Generally, the intelligent security is lifted and is often hooked with police affairs for case detection. However, in the civil field, security protection is often used for order maintenance and timely problem finding and prevention. The public place's such as campus, square, community crowd gathering public place's public security management problem and emergency's treatment measure, rely on the artifical incessant surveillance video of looking over to discern unusually at present completely, also need artifically carry out the relation between the unusual action, and the problem handling all is fixed flow fixed scheme, does not pass through real-time calculation, carries out scientific and effective guide, often can miss the optimum decision.
In view of the above technical problems, no effective solution has been proposed at present.
Disclosure of Invention
In view of the above technical problems in the related art, the present invention provides an intelligent security auxiliary system, which can overcome the above disadvantages in the prior art.
In order to achieve the technical purpose, the technical scheme of the invention is realized as follows:
an intelligent security auxiliary system is characterized by comprising an intelligent video module, an event management module, a response flow management module and a behavior prediction and path planning module; wherein the content of the first and second substances,
the intelligent video module is used for carrying out video analysis on the multi-channel video stream so as to obtain information of a moving target object in the video, and extracting and synthesizing the information into semantic-level video information for outputting, and the method comprises four steps of video foreground detection, target object detection, target tracking and track analysis and event detection;
the event management module intelligently recommends different event detection combinations for different scenes and different places to perform shunt detection on the multi-channel video of the fixed place;
the response flow management module responds to the event after the event management module shunts the detection by using a workflow mode, establishes a response flow, configures a plurality of response nodes for the flow and sequentially executes each response node;
the behavior prediction and path planning module is closely combined with the space geographic information, and after the response flow management module sequentially executes each response node, a model is constructed for tracking or evacuating people.
Furthermore, the event management module only detects the effective events, so as to improve the detection efficiency and reduce the information redundancy.
Furthermore, the response process management module is provided with a plurality of response nodes with commonly used customizable parameters.
The response node comprises a comprehensive history record which is used for preprocessing and shunting, marking a video, automatically intercepting a certain frame and storing the video before and after the certain frame, a multi-channel video joint tracking object, notifying related personnel by a telephone short message mail, pushing a message to other service systems and triggering an alarm system.
Furthermore, the model constructed by the behavior prediction and path planning module is divided into a single-target tracking model and a group guidance model.
The single target tracking model is used for predicting the advancing destination, the time for reaching the destination and the traveling route of the target by analyzing the historical behavior of the target.
The crowd guiding model dynamically calculates and analyzes how to guide the crowd in the crowd concentration area, uses a three-dimensional effect to display a scheme, and displays the flow of the crowd at the outlet and the crowd concentration degree in real time.
The invention has the beneficial effects that: by designing an intelligent security and protection auxiliary system, a method for deeply combining video behavior analysis with scenes such as campus safety management, intelligent guidance of an office hall and the like is provided, behaviors such as campus violence, stealing, crossing an enclosure, crowding and trampling risks, crowd concentration and the like are automatically identified, judgment, suspected problem marking, electronic record storage and relevant response are made at the first time, and careless omission caused by human eye checking and monitoring is avoided to a great extent to generate serious consequences; meanwhile, a convenient retrieval mode can be provided for investigation and evidence collection after the fact; a more scientific and friendly auxiliary decision can be provided in the emergency command process; moreover, the manpower for viewing the videos is not required to be increased along with the increase of the number of the video paths, and a large amount of manpower resources can be saved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a block diagram illustrating an intelligent security assistance system according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating an operation of the intelligent security assistance system according to an embodiment of 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 that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
As shown in fig. 1-2, an intelligent security auxiliary system according to an embodiment of the present invention includes an intelligent video module, an event management module, a response flow management module, and a behavior prediction and path planning module; wherein the content of the first and second substances,
the intelligent video module is used for carrying out video analysis on the multi-channel video stream so as to obtain information of a moving target object in the video, and extracting and synthesizing the information into semantic-level video information for outputting, and the method comprises four steps of video foreground detection, target object detection, target tracking and track analysis and event detection;
the event management module intelligently recommends different event detection combinations for different scenes and different places to perform shunt detection on the multi-channel video of the fixed place;
the response flow management module responds to the event after the event management module shunts the detection by using a workflow mode, establishes a response flow, configures a plurality of response nodes for the flow and sequentially executes each response node;
the behavior prediction and path planning module is closely combined with the space geographic information, and after the response flow management module sequentially executes each response node, a model is constructed for tracking or evacuating people.
In one embodiment, the event management module only detects valid events to improve detection efficiency and reduce information redundancy.
Preferably, for example, school barriers use detection of valid events such as line crossing detection, face information recognition, blacklist recognition, etc.
Preferably, the detection of valid events, such as blacklist recognition, people anomaly detection, etc., is used in the office hall.
Preferably, the detection of an effective event such as an abnormality detection of the number of people used in a square, a crossline detection, or the like is performed.
In one embodiment, the event detection combination of the event management module may be defined by a recommended configuration or an interface, and may be defined for a certain video or a video group.
In a specific embodiment, the response flow management module is provided with response nodes of various common customizable parameters.
Preferably, the response node comprises a comprehensive history record for preprocessing and shunting, marking a video, automatically intercepting a certain frame and storing the video before and after the certain frame, jointly tracking an object by multiple paths of videos, notifying related personnel by a telephone short message mail, pushing a message to other service systems, and triggering an alarm system.
In a specific embodiment, the response flow management module supports a user-defined mode of interface dragging, draws a response flow, and can automatically combine response nodes.
In one embodiment, the model constructed by the behavior prediction and path planning module is divided into a single-target tracking model and a group guidance model.
Preferably, the single-target tracking model is used for predicting the forwarding destination, the time to the destination, the traveling route and the like by analyzing the historical behaviors of the target, calculating the movement speed of the single target according to the forwarding mode of the single target, such as walking and cycling, and by tracking of multiple paths of videos, predicting the action track of the single target in a short time according to the forwarding direction, and dynamically displaying the time-space information and the prediction situation on a map so as to be convenient for rapidly intercepting personnel, wherein the forwarding target which is easy to predict may have a winding or go to an exit or other clear directions.
Preferably, the crowd guide model is an area where people easily flow and gather in an office hall, a square and the like, people flow evacuation is needed if an event of crowd abnormal gathering is detected, and the crowd guide is dynamically calculated and analyzed, the system analyzes which crowds are suitable for being guided to which exits through peripheral exit information such as the distance between the exits and the crowds, the scale of the exits, whether traffic is required outside the exits, the gathering condition of the exits and the like, can use a three-dimensional effect to carry out scheme display, and displays the flow rate of the exits and the gathering degree of the crowds in real time, so that scientific and ordered evacuation is realized, and the situations such as crowding and trampling are prevented.
In order to facilitate understanding of the above-described technical aspects of the present invention, the above-described technical aspects of the present invention will be described in detail below in terms of specific usage.
According to the intelligent security auxiliary system, an intelligent video monitoring technology is adopted, a video shot by a fixed camera is analyzed in real time to obtain a moving target in the video, semantic-level video information is extracted, and a series of detection processes are formed through target detection, target tracking, target track analysis, event detection and the like to form abnormal behavior information; and then different abnormal behavior detection models are defined according to different scenes, and because the same video stream can generate excessive useless interference information when detecting various events, the video streams of different scenes can adopt different detection models for event detection, so that the identification efficiency is improved and the false alarm rate is reduced through data distribution. In intensive places such as a business hall, a square, a community and the like, video detection is carried out on the occurrence of an event with abnormal number of people (the statistics of the number of people on the video) at a certain place, and according to the people flow conditions near each exit in the place, the people flow is dredged and planned by combining a map, so that an optimal suggestion is made; and importing a face blacklist library, recording the visit of blacklist personnel appearing in the monitoring video, generating alarm information to be linked with related equipment and personnel, tracking abnormal personnel tracks according to the spatial distribution of each path of monitoring video in a closed area by combining an in-area map and an indoor map, and predicting the advancing direction of the personnel through space-time information. For events such as the crossing of a wall head and the wandering, picking up or putting down of articles in a key area in closed places such as schools and the like, extracting a face for identity recognition, and making a record and a preset response; the response of each behavior event is set with different response levels according to different places and behaviors, whether the response is carried out or not is determined according to the levels, the system can preset various response nodes in a user-defined workflow mode, various parameter settings are supported, meanwhile, the system carries out response model building through interface operation, and people can be conveniently tracked or evacuated.
In conclusion, the intelligent security and protection auxiliary system can automatically identify abnormal behaviors and can make intelligent decisions; and can respond to the emergency in time and accurately. Along with the gradual landing of artificial intelligence in the field of video monitoring, the content recognition, extraction and analysis capabilities are greatly improved, and the recognition algorithm and the finished product for behaviors such as line crossing, intrusion/leaving areas, wandering, abnormal number of people in the areas, article taking/putting down and the like are relatively mature, so that a solid foundation is provided for automatically recognizing abnormal behaviors; based on the basic capabilities, the multi-scene-oriented automatic identification and quick response system is constructed to assist safety management, the system supports interface customized response level, response flow and the like, the system can perform decision analysis on whether to respond or not and how to respond according to the flow response level according to video intelligent analysis results, and linkage with other software and hardware systems and equipment is supported.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (7)

1. An intelligent security auxiliary system is characterized by comprising an intelligent video module, an event management module, a response flow management module and a behavior prediction and path planning module; wherein the content of the first and second substances,
the intelligent video module is used for carrying out video analysis on the multi-channel video stream so as to obtain information of a moving target object in the video, and extracting and synthesizing the information into semantic-level video information for outputting, and the method comprises four steps of video foreground detection, target object detection, target tracking and track analysis and event detection;
the event management module intelligently recommends different event detection combinations for different scenes and different places to perform shunt detection on the multi-channel video of the fixed place;
the response flow management module responds to the event after the event management module shunts the detection by using a workflow mode, establishes a response flow, configures a plurality of response nodes for the flow and sequentially executes each response node;
the behavior prediction and path planning module is closely combined with the space geographic information, and after the response flow management module sequentially executes each response node, a model is constructed for tracking or evacuating people.
2. The intelligent security assistance system of claim 1, wherein the event management module detects only valid events to improve detection efficiency and reduce information redundancy.
3. The intelligent security assistance system of claim 1, wherein the response process management module is provided with a plurality of response nodes with commonly used customizable parameters.
4. The intelligent security and protection auxiliary system as claimed in claim 3, wherein the response node comprises a comprehensive history record for preprocessing and shunting, marking a video, automatically intercepting video storage before and after a certain frame, jointly tracking an object through multiple paths of videos, notifying related personnel through a telephone short message mail, pushing a message to other service systems, and triggering an alarm system.
5. The intelligent security assistance system of claim 1, wherein the behavior prediction and path planning module constructs a model that is divided into a single-target tracking model and a group-oriented model.
6. The intelligent security assistance system of claim 5, wherein the single-target tracking model is used to predict the destination, the time to reach the destination, and the travel route by analyzing the historical behavior of the target.
7. The intelligent security assistance system of claim 5, wherein the crowd guidance model is used for dynamically calculating and analyzing how to guide the crowd in a crowd concentrated area, performing scheme display by using a three-dimensional effect, and displaying the flow rate of the crowd at the outlet and the crowd concentration degree in real time.
CN202010373166.3A 2020-05-06 2020-05-06 Intelligent security auxiliary system Pending CN111709281A (en)

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Application publication date: 20200925