CN106157325A - Group abnormality behavioral value method and system - Google Patents
Group abnormality behavioral value method and system Download PDFInfo
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Abstract
The present invention relates to a kind of group abnormality behavioral value method, including: the colony's tracking using pathotypical structure to develop, the colony in frame of video is carried out colony's tracking；During colony follows the tracks of, the multi-agent synergy value of each frame tracing into colony in frame of video is carried out record storage, terminates until colony follows the tracks of；The multi-agent synergy value of each frame according to the colony followed the tracks of, calculates the multi-agent synergy value in this colony d frame, and occurs with or without Deviant Behavior according to default threshold decision.The invention still further relates to a kind of group abnormality behavioral value system.The present invention directly utilizes the fundamental characteristics of colony to detect Deviant Behavior, the most simple and convenient, it is to avoid complicated model learning process, improves and searches the efficiency causing safety problem reason.
Description
Technical field
The present invention relates to a kind of group abnormality behavioral value method and system.
Background technology
In the modern society that rhythm is fast-developing, the growth rate of population is increasingly faster, a series of
The problem that population causes is the most aobvious prominent.At crowd density than the place of comparatively dense, such as railway station,
Bus stations etc., safety problem is especially prominent.By the detection to Deviant Behavior, monitoring can be regarded
Substantial amounts of in Pin the information filtering that security protection is useless is fallen, saved substantial amounts of manpower.Complicated personnel
Public place in, by monitor video being analyzed and then some being caused the thing of safety problem
Part carries out judging and make in time corresponding response, can not only have accident
Effect processes, and to safeguarding that the safety of public place and the people's lives and property aspect such as safely has
Prominent contribution.
At present for the Deviant Behavior of colony, owing to crowd size and density are relatively big, thus mostly with
The angle of macroscopic view is studied, and will colony study as an entirety.Mainly there is following step
Rapid: to video frequency motion target detection, to follow the tracks of；Kinetic characteristic according to colony is monitored；Pass through
Model, to colony's track modeling, identifies the Deviant Behavior of colony.
Visible, current group abnormality behavioral value mode is required for greatly setting up model, then carries out
Model learning, inefficient and process complicated.
Summary of the invention
In view of this, it is necessary to a kind of group abnormality behavioral value method and system are provided.
The present invention provides a kind of group abnormality behavioral value method, and the method comprises the steps: a.
Use pathotypical structure develop colony's tracking, the colony in frame of video is carried out colony with
Track；B. the association of colony during colony follows the tracks of, to each frame tracing into colony in frame of video
Same sex value carries out record storage, terminates until colony follows the tracks of；C. according to each frame of the colony followed the tracks of
Multi-agent synergy value, calculate the multi-agent synergy value in this colony d frame, and according to default threshold
Value determines whether Deviant Behavior and occurs.
Wherein, described step a specifically includes: utilizes optical flow method to follow the tracks of in frame of video and extracts
Characteristic point, and obtain the movable information of described characteristic point；Motion according to the described characteristic point obtained
Information, whether the motor pattern calculating characteristic point consistent, by characteristic point consistent for motor pattern according to
Density clusters, and the density making characteristic point included in the block of generation is bigger；Colony is used to close
And method, according to the block of above-mentioned generation, detection obtains the colony in described frame of video；Use layering
Dynamic tree topology, the colony in the described frame of video obtaining above-mentioned detection carries out colony's tracking.
Described multi-agent synergy value obtains in the following way: detect the block being made up of characteristic point；
Obtain the motion mode of the multi-agent synergy of each characteristic point；The biggest according to what described piece comprised
The motion mode of the multi-agent synergy of most characteristic points obtains the motion of the multi-agent synergy of described piece
Mode；Motion mode according to the multi-agent synergy of above-mentioned piece obtains the multi-agent synergy of described colony
Value.
The multi-agent synergy value calculated in described step c in this colony d frame specifically includes: every
Every d frame, by function phi, this colony multi-agent synergy value in d frame is calculated, described
Colony's multi-agent synergy value in d frame can be averaged calculating, or the side of carrying out by function phi
Difference calculates.
Described step c specifically includes with or without Deviant Behavior according to the threshold decision preset:
Difference is done with the φ value of previous d frame；When difference more than threshold value T that pre-sets time, then judge
There is abnormal generation；If difference is less than threshold value T, then repeat said process, terminate until colony follows the tracks of,
If terminated until colony follows the tracks of, described difference still less than threshold value T, then judges colony's row without exception
For.
The present invention also provides for a kind of group abnormality behavioral value system, this system include tracking module,
Memory module and judge module, wherein: described tracking module is used for using pathotypical structure to develop
Colony's tracking, the colony in frame of video is carried out colony's tracking；Described memory module is used for
During colony follows the tracks of, the multi-agent synergy value to each frame tracing into colony in frame of video
Carry out record storage, terminate until colony follows the tracks of；Described judge module is for according to the colony followed the tracks of
The multi-agent synergy value of each frame, calculate the multi-agent synergy value in this colony d frame, and according to
The threshold decision preset occurs with or without Deviant Behavior.
Wherein, described tracking module specifically for: utilize optical flow method to follow the tracks of in frame of video and extract
Characteristic point, and obtain the movable information of described characteristic point；Motion according to the described characteristic point obtained
Information, whether the motor pattern calculating characteristic point consistent, by characteristic point consistent for motor pattern according to
Density clusters, and the density making characteristic point included in the block of generation is bigger；Colony is used to close
And method, according to the block of above-mentioned generation, detection obtains the colony in described frame of video；Use layering
Dynamic tree topology, the colony in the described frame of video obtaining above-mentioned detection carries out colony's tracking.
Described multi-agent synergy value obtains in the following way: detects and is made up of characteristic point
Block；Obtain the motion mode of the multi-agent synergy of each characteristic point；According to what described piece comprised
The motion mode of the multi-agent synergy of most characteristic points obtains the multi-agent synergy of described piece
Motion mode；Motion mode according to the multi-agent synergy of above-mentioned piece obtains the association of colony of described colony
Same sex value.
Described judge module specifically for: at interval of d frame, by function phi to this colony at d frame
Interior multi-agent synergy value calculates；Difference is done with the φ value of previous d frame；When difference is more than pre-
Threshold value T first arranged time, then judge have abnormal generation；If difference is less than threshold value T, then repeat
Said process, terminates until colony follows the tracks of, if until colony's tracking terminates, described difference is the least
In threshold value T, then judge colony's behavior without exception.
Colony's multi-agent synergy value in d frame can be averaged calculating by described function phi,
Or carry out variance calculating.
Group abnormality behavioral value method and system of the present invention, some directly utilizing colony are the most special
Property detect Deviant Behavior, the most simple and convenient, and avoid the process of model learning of complexity.
The present invention is capable of detecting when that group movement becomes suddenly rambling event, is possible not only to raising and looks into
Look for the efficiency causing safety problem reason, and related personnel can also be made to make corresponding sound in time
Should, accident is effectively treated.
Accompanying drawing explanation
Fig. 1 is the flow chart of the present invention a kind of group abnormality behavioral value method；
Fig. 2 is the hardware structure figure of the present invention a kind of group abnormality behavioral value system.
Detailed description of the invention
Below in conjunction with the accompanying drawings and specific embodiment the present invention is further detailed explanation.
Refering to shown in Fig. 1, it it is the present invention a kind of group abnormality behavioral value method preferred embodiment
Operation process chart.
Step S1, uses colony's tracking that pathotypical structure develops, to the group in frame of video
Body carries out colony's tracking.Specifically comprise the following steps that
(1) utilize optical flow method to follow the tracks of the characteristic point extracted in frame of video, and obtain described feature
The movable information of point.
(2) according to the movable information of the described characteristic point obtained, the motor pattern of characteristic point is calculated
Whether consistent, characteristic point consistent for motor pattern is clustered according to density, will characteristic point close
Spend big class and generate block (patch).
(3) colony is used to merge (Collective Merging) method, according to the block of above-mentioned generation,
Detection obtains the colony in described frame of video.
It should be noted that the present embodiment is when detecting colony, by the motion mould of multi-agent synergy
Formula carries out crowd surveillance.Specifically, because each colony has a kind of multi-agent synergy fortune
Dynamic model formula, it is possible to distinguish different colonies by multi-agent synergy motor pattern.The present invention is just
It is to carry out unusual checking based on this.
(4) dynamic tree topology of layering is used, in the described frame of video that above-mentioned detection is obtained
Colony carries out colony's tracking.
Step S2, during colony follows the tracks of, to each frame tracing into colony in frame of video
Multi-agent synergy value carries out record storage, terminates until colony follows the tracks of.Specific as follows:
When storing, distribute one No. ID for each colony traced in frame of video,
Then record this No. ID corresponding colony multi-agent synergy value at each frame, and store.
Wherein, No. ID of described colony distribution keeps constant in whole tracking process.
Multi-agent synergy (crowd collectiveness): what multi-agent synergy was weighed is every in colony
The degree that body is harmonious on motor pattern one by one.If the harmonious degree of colony is more
Greatly, multi-agent synergy value is the highest, otherwise then ratio is relatively low.Described multi-agent synergy value is led to
Cross following manner to obtain:
The present embodiment, detecting colony when, first detects the block being made up of characteristic point；Due to
The tracking of characteristic point can obtain the movable information of characteristic point, and then obtains the group of each characteristic point
The synergitic motion mode of body；The motion mode of the multi-agent synergy of block, exhausted by included in block
The motion mode of the multi-agent synergy of most characteristic point determines, finally, uses merging side of colony
Method, according to the block of above-mentioned generation, detection obtains the colony in described frame of video, according to above-mentioned piece
The motion mode of multi-agent synergy obtains the multi-agent synergy value of described colony.
Step S3, according to the multi-agent synergy value of each frame of the colony followed the tracks of, calculates this colony one
Multi-agent synergy value in the section of fixing time, and send out with or without Deviant Behavior according to default threshold decision
Raw.Specifically:
Concertedness (the Crowd of the described Hui Youyige colony of each colony traced into
Collectiveness) value, the pedestrian movement in colony than more consistent, stablize time, multi-agent synergy
Property value can be stablized relatively, and numerical value is higher.When follow the tracks of colony and other colony clash or
Person because other former to thus result in the motion of pedestrian in colony disorderly and unsystematic, then multi-agent synergy
Value will reduce suddenly.When detecting that this multi-agent synergy value reduces suddenly, then may determine that this group
Body generation Deviant Behavior.
Specifically comprise the following steps that
At interval of d frame, by function phi, this colony multi-agent synergy value in d frame is counted
Calculating, when specifically calculating, colony's multi-agent synergy value in d frame can be averaged by function phi
Calculate, or carry out variance calculating.Then the φ value with previous d frame does difference, when difference is more than
The when of threshold value T pre-set, i.e. φn-φn-1> T time, then judge have abnormal generation.If difference
Less than threshold value T pre-set, then repeat said process, terminate until colony follows the tracks of.If it is straight
Complete to colony's whole tracking process, difference still less than the threshold value pre-set, then judge colony without
Deviant Behavior.
Refering to shown in Fig. 2, it it is the hardware structure figure of the present invention a kind of group abnormality behavioral value system.
This system includes tracking module, memory module and judge module.
Colony's tracking that described tracking module develops for using pathotypical structure, to video
Colony in frame carries out colony's tracking.Specifically comprise the following steps that
(1) utilize optical flow method to follow the tracks of the characteristic point extracted in frame of video, and obtain described feature
The movable information of point.
(2) according to the movable information of the described characteristic point obtained, the motor pattern of characteristic point is calculated
Whether consistent, characteristic point consistent for motor pattern is clustered according to density, will characteristic point close
Spend big class and generate block (patch).
(3) colony is used to merge (Collective Merging) method, according to the block of above-mentioned generation,
Detection obtains the colony in described frame of video.
It should be noted that the present embodiment is when detecting colony, by the motion mould of multi-agent synergy
Formula carries out crowd surveillance.Specifically, because each colony has a kind of multi-agent synergy fortune
Dynamic model formula, it is possible to distinguish different colonies by multi-agent synergy motor pattern.The present invention is just
It is to carry out unusual checking based on this.
(4) dynamic tree topology of layering is used, in the described frame of video that above-mentioned detection is obtained
Colony carries out colony's tracking.
Described memory module is during following the tracks of in colony, to tracing into colony in frame of video
The multi-agent synergy value of each frame carries out record storage, terminates until colony follows the tracks of.Specific as follows:
When storing, distribute one No. ID for each colony traced in frame of video,
Then record this No. ID corresponding colony multi-agent synergy value at each frame, and store.
Wherein, No. ID of described colony distribution keeps constant in whole tracking process.
Described multi-agent synergy value obtains in the following way:
The present embodiment, detecting colony when, first detects the block being made up of characteristic point；Due to
The tracking of characteristic point can obtain the movable information of characteristic point, and then obtains the group of each characteristic point
The synergitic motion mode of body；The motion mode of the multi-agent synergy of block, exhausted by included in block
The motion mode of the multi-agent synergy of most characteristic point determines, finally, uses merging side of colony
Method, according to the block of above-mentioned generation, detection obtains the colony in described frame of video, according to above-mentioned piece
The motion mode of multi-agent synergy obtains the multi-agent synergy value of described colony.
Described judge module, for the multi-agent synergy value of each frame according to the colony followed the tracks of, calculates
Multi-agent synergy value in this colony's certain period of time, and have without exception according to default threshold decision
Behavior occurs.Specifically:
Concertedness (the Crowd of the described Hui Youyige colony of each colony traced into
Collectiveness) value, when the pedestrian movement in colony compares Uniformly stable, multi-agent synergy
Value can be the most stable, and numerical value is higher.When follow the tracks of colony and other colony clash or
Because it is disorderly and unsystematic that other former thus results in the motion of pedestrian in colony, then multi-agent synergy value
Will reduce suddenly.When detecting that this multi-agent synergy value reduces suddenly, then may determine that this colony
There is Deviant Behavior.
Specifically comprise the following steps that
At interval of d frame, by function phi, this colony multi-agent synergy value in d frame is counted
Calculating, when specifically calculating, colony's multi-agent synergy value in d frame can be averaged by function phi
Calculate, or carry out variance calculating.Then the φ value with previous d frame does difference, when difference is more than
The when of threshold value T pre-set, i.e. φn-φn-1> T time, then judge have abnormal generation.If difference
Less than threshold value T pre-set, then repeat said process, terminate until colony follows the tracks of.If it is straight
Complete to colony's whole tracking process, difference still less than the threshold value pre-set, then judge colony without
Deviant Behavior.
Although the present invention is described with reference to current better embodiment, but the technology of this area
Personnel will be understood that above-mentioned better embodiment, only for the present invention is described, not is used for limiting this
The protection domain of invention, any within the scope of the spirit and principles in the present invention, that is done any repaiies
Decorations, equivalence replacement, improvement etc., within should be included in the scope of the present invention.
Claims (10)
1. a group abnormality behavioral value method, it is characterised in that the method comprises the steps:
A. the colony's tracking using pathotypical structure to develop, is carried out the colony in frame of video
Colony follows the tracks of；
B. the association of colony during colony follows the tracks of, to each frame tracing into colony in frame of video
Same sex value carries out record storage, terminates until colony follows the tracks of；
C. according to the multi-agent synergy value of each frame of the colony followed the tracks of, calculate in this colony d frame
Multi-agent synergy value, and occur with or without Deviant Behavior according to default threshold decision.
2. the method for claim 1, it is characterised in that described step a specifically includes:
Utilize optical flow method to follow the tracks of the characteristic point extracted in frame of video, and obtain the fortune of described characteristic point
Dynamic information；
According to the movable information of the described characteristic point obtained, calculate the motor pattern of characteristic point whether
Cause, characteristic point consistent for motor pattern is clustered according to density, makes included in the block of generation
The density of characteristic point bigger；
Using colony to merge method, according to the block of above-mentioned generation, detection obtains in described frame of video
Colony；
Using the dynamic tree topology of layering, the colony in the described frame of video obtaining above-mentioned detection enters
Row colony follows the tracks of.
3. method as claimed in claim 2, it is characterised in that described multi-agent synergy value is passed through
Following manner obtains:
Detect the block being made up of characteristic point；Obtain the motion of the multi-agent synergy of each characteristic point
Mode；The motion mode of the multi-agent synergy according to the most characteristic points comprised in described piece obtains
Motion mode to the multi-agent synergy of described piece；Motion side according to the multi-agent synergy of above-mentioned piece
Formula obtains the multi-agent synergy value of described colony.
4. method as claimed in claim 3, it is characterised in that calculating in described step c should
Multi-agent synergy value in colony's d frame specifically includes:
At interval of d frame, by function phi, this colony multi-agent synergy value in d frame is counted
Calculating, colony's multi-agent synergy value in d frame can be averaged calculating by described function phi, or
Person carries out variance calculating.
5. method as claimed in claim 4, it is characterised in that according to pre-in described step c
If threshold decision specifically include with or without Deviant Behavior:
Difference is done with the φ value of previous d frame；
When difference more than threshold value T that pre-sets time, then judge there is abnormal generation；
If difference is less than threshold value T, then repeat said process, terminate, if directly until colony follows the tracks of
Following the tracks of to colony and terminate, described difference still less than threshold value T, then judges colony's behavior without exception.
6. a group abnormality behavioral value system, it is characterised in that this system include tracking module,
Memory module and judge module, wherein:
Colony's tracking that described tracking module develops for using pathotypical structure, to video
Colony in frame carries out colony's tracking；
Described memory module is during following the tracks of in colony, to tracing into colony in frame of video
The multi-agent synergy value of each frame carries out record storage, terminates until colony follows the tracks of；
Described judge module, for the multi-agent synergy value of each frame according to the colony followed the tracks of, calculates
Multi-agent synergy value in this colony d frame, and send out with or without Deviant Behavior according to default threshold decision
Raw.
7. system as claimed in claim 6, it is characterised in that described tracking module specifically for:
Utilize optical flow method to follow the tracks of the characteristic point extracted in frame of video, and obtain the fortune of described characteristic point
Dynamic information；
According to the movable information of the described characteristic point obtained, calculate the motor pattern of characteristic point whether
Cause, characteristic point consistent for motor pattern is clustered according to density, makes included in the block of generation
The density of characteristic point bigger；
Using colony to merge method, according to the block of above-mentioned generation, detection obtains in described frame of video
Colony；
Using the dynamic tree topology of layering, the colony in the described frame of video obtaining above-mentioned detection enters
Row colony follows the tracks of.
8. system as claimed in claim 7, it is characterised in that described multi-agent synergy value is led to
Cross following manner to obtain:
Detect the block being made up of characteristic point；Obtain the motion of the multi-agent synergy of each characteristic point
Mode；The motion mode of the multi-agent synergy according to the most characteristic points comprised in described piece obtains
Motion mode to the multi-agent synergy of described piece；Motion side according to the multi-agent synergy of above-mentioned piece
Formula obtains the multi-agent synergy value of described colony.
9. system as claimed in claim 8, it is characterised in that described judge module specifically for:
At interval of d frame, by function phi, this colony multi-agent synergy value in d frame is counted
Calculate；
Difference is done with the φ value of previous d frame；
When difference more than threshold value T that pre-sets time, then judge there is abnormal generation；
If difference is less than threshold value T, then repeat said process, terminate, if directly until colony follows the tracks of
Following the tracks of to colony and terminate, described difference still less than threshold value T, then judges colony's behavior without exception.
10. system as claimed in claim 9, it is characterised in that described function phi can be to group
Body multi-agent synergy value in d frame is averaged calculating, or carries out variance calculating.
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| CN106157325B (en) | 2020-10-27 |
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