CN110443196A - Fire-fighting road occupying detection method based on SSIM algorithm - Google Patents
Fire-fighting road occupying detection method based on SSIM algorithm Download PDFInfo
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Abstract
The fire-fighting road occupying detection method based on SSIM algorithm that the invention discloses a kind of, by setting video sensing area, obtain the minimum outsourcing matrix of detection zone, the video frame matrix of initializing set minimum outsourcing matrix institute inclusion region compares video frame as bottom library, utilize SSIM algorithm, video frame and bottom library comparison video frame to monitoring video flow carry out structural similarity comparison, similar value size can be set simultaneously, come set fire-fighting road occupying violation object smallest object size, to realize fire-fighting road occupying detection function.Fire-fighting road occupying detection method based on SSIM algorithm of the invention can carry out automation and intellectualized detection to passageway for fire apparatus, so that precision and intelligence are realized in the detection work of passageway for fire apparatus, the working efficiency and accuracy of fire protection are greatly improved, great improvement result can be played for the exclusion of fire-fighting dangerous situation.Fire-fighting road occupying detection method based on SSIM algorithm of the invention has intelligence degree height, precision high, the high advantage of detection efficiency.
Description
Technical field
It is high, accurate that the present invention relates to fire-fighting road occupying anomalies body detection technique fields more particularly to a kind of intelligence degree
Degree is high, the high fire-fighting road occupying detection method based on SSIM algorithm of detection efficiency.
Background technique
With the development of artificial intelligence technology and the continuous landing of intelligence community, more and more artificial intellectual technology landings
To each application scenarios in intelligence community, wherein using the Car license recognition of there is any discrepancy mouth license plate gate the most mature, face gate inhibition
Equal application scenarios.And passageway for fire apparatus belongs to the life channel of a cell, once there are the hazard events such as fire, fire fighter
Important the statement channel, such as stairs port, passageway etc. for implementing rescue and trapped person's evacuation have fire-fighting indicator light local, have
Immeasurable effect.Then in some cells, it often can be appreciated that passageway for fire apparatus by some separated parkings, rubbish incidental and other items
Occupied, once dangerous situation occurs, this will be major safety risks, depend merely on human intervention and direction board prompt, can not be from root
It is solved the problems, such as on this, on the one hand since human intervention is there are imeliness problem, another aspect direction board lacks a small part
The crowd of danger consciousness, is still difficult to play substantial role, increases many, fire-fighting for the degree of difficulty of fire protection worker
The testing cost and inefficiency eliminated are detected, is one of current fire-fighting monitoring urgent problem to be solved.
Therefore, it is necessary to propose a kind of new technology to overcome prior art defect.
Summary of the invention
Present invention aim to address the problems of the prior art, provide that a kind of intelligence degree is high, precision is high, detection
The high-efficient fire-fighting road occupying detection method based on SSIM algorithm.
The technical scheme is that
Fire-fighting road occupying detection method based on SSIM algorithm, comprising the following steps: S1, obtain fire-fighting in video sensing area
The frame image when normal condition of channel, and intercept the minimum outsourcing matrix image data X conduct of detection zone on the frame image
Bottom library compares video frame；S2, a frame monitor video image is obtained every time T or frame number N, intercepted on the frame monitor video image
The minimum outsourcing matrix image data Y of detection zone；S3, according to improved SSIM formula S SIM (X, Y)=s (X, Y)=(δ
Xy+c3 the structural similarity of X and Y)/(δ x δ y+c3) is calculated；Wherein s (X, Y) is the covariance of X and Y, and δ x, δ y are x, y respectively
Standard deviation, c3 is constant；S4, set passageway for fire apparatus road occupying threshold value of warning as SSIM_threshold, comparison SSIM (X, Y) with
SSIM_threshold carries out the detection of passageway for fire apparatus smoothness.
As a kind of perferred technical scheme, the step S4 is specifically includes the following steps: S4a, initializing set fire-fighting
Road occupying threshold value of warning in channel is SSIM_threshold；S4b, bottom library comparison video frame X and monitor video image detection area are obtained
Similarity SSIM (X, Y) between the minimum outsourcing matrix image data Y in domain, if SSIM (X, Y)≤SSIM_threshold,
Then judge there is foreign matter road occupying in passageway for fire apparatus, otherwise, judges that passageway for fire apparatus is normal.
Further include as a kind of further preferred technical solution, in the step S4a initializing set continue it is different in violation of rules and regulations
Object road occupying threshold value cumulative time T_threshold, last time road occupying time of finding T_last_find=time.time ()；Then
In step S4b, if SSIM (X, Y)≤SSIM_threshold and time.time ()-T_last_find >=T_
Threshold then judges to have foreign matter road occupying in passageway for fire apparatus and reports fire-fighting road occupying warning message；If SSIM (X, Y)≤
SSIM_threshold and time.time ()-T_last_find < T_threshold then judge have foreign matter to account in passageway for fire apparatus
Road but temporarily it is without any processing；If SSIM (X, Y) > SSIM_threshold, then T_last_find=time.time ().
As a kind of perferred technical scheme, the step S4 is further comprising the steps of: timing updates bottom library and compares video
Frame X.
As a kind of further preferred technical solution, " timing updates bottom library and compares video frame X " includes following step
Rapid: it is SSIM_threshold_update and renewal frequency interval time T_ that Sa, initializing set similarity bottom library, which update threshold value,
Dist and renewal time last time T_update_time=time.time ()；Sb, as SSIM (X, Y) >=SSIM_
Threshold_update, and time.time ()-T_update_time > T_dist then replace bottom library comparison video frame X=
Y；Otherwise, without any processing.
As a kind of technical solution still more preferably, similarity bottom library updates threshold value SSIM_threshold_
Update is greater than passageway for fire apparatus road occupying threshold value of warning SSIM_threshold.
As a kind of perferred technical scheme, the time T is 1 second.
As a kind of perferred technical scheme, the frame number N is 25.
Fire-fighting road occupying detection method based on SSIM algorithm of the invention obtains detection by setting video sensing area
The minimum outsourcing matrix in region, the video frame matrix of initializing set minimum outsourcing matrix institute inclusion region is compared as bottom library to be regarded
Frequency frame, using SSIM algorithm, video frame and bottom library comparison video frame to monitoring video flow carry out structural similarity comparison, simultaneously
Similar value size can be set, come set fire-fighting road occupying violation object smallest object size, thus realize fire-fighting road occupying detect
Function.Fire-fighting road occupying detection method based on SSIM algorithm of the invention can carry out automation and intelligent inspection to passageway for fire apparatus
It surveys, so that precision and intelligence are realized in the detection work of passageway for fire apparatus, greatly improves the working efficiency of fire protection
And accuracy, great improvement result can be played for the exclusion of fire-fighting dangerous situation.Fire-fighting based on SSIM algorithm of the invention
Road occupying detection method has intelligence degree height, precision high, the high advantage of detection efficiency.
Detailed description of the invention
Fig. 1 is that the present invention is based on the fire-fighting road occupying detection method specific embodiment flow diagrams of SSIM algorithm.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
The term used in embodiments of the present invention is only to be not intended to be limiting merely for for the purpose of describing particular embodiments
The present invention.In the embodiment of the present invention and the "an" of singular used in the attached claims, " described " and "the"
It is also intended to including most forms, unless the context clearly indicates other meaning, " a variety of " generally comprise at least two, but not
It excludes to include at least one situation.
It should be appreciated that term "and/or" used herein is only a kind of incidence relation for describing affiliated partner, indicate
There may be three kinds of relationships, for example, A and/or B, can indicate: individualism A, exist simultaneously A and B, individualism B these three
Situation.In addition, character "/" herein, typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Depending on context, word as used in this " if ", " if " can be construed to " ... when " or
" when ... " or " in response to determination " or " in response to detection ".Similarly, context is depended on, phrase " if it is determined that " or " such as
Fruit detection (condition or event of statement) " can be construed to " when determining " or " in response to determination " or " when detection (statement
Condition or event) when " or " in response to detection (condition or event of statement) ".
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
Include, so that commodity or system including a series of elements not only include those elements, but also including not clear
The other element listed, or further include for this commodity or the intrinsic element of system.In the feelings not limited more
Under condition, the element that is limited by sentence "including a ...", it is not excluded that in the commodity or system for including the element also
There are other identical elements.
As shown in Figure 1, the fire-fighting road occupying detection method of the invention based on SSIM algorithm, comprising the following steps:
A frame image in S1, acquisition video sensing area when the normal condition of passageway for fire apparatus, and intercept and examined on the frame image
The minimum outsourcing matrix image data X for surveying region compares video frame as bottom library.The acquisition of bottom library comparison video frame X must assure that
Passageway for fire apparatus in current video detection zone belongs to normal condition, to guarantee the accuracy of fire-fighting road occupying detection.
S2, a frame monitor video image is obtained every time T or frame number N, intercepts detection zone on the frame monitor video image
The minimum outsourcing matrix image data Y in domain.A frame monitoring image is obtained from monitoring video flow, and using same as step S1
The minimum outsourcing matrix image data Y of detection zone on method interception image.
S3, X and Y is calculated according to improved SSIM formula S SIM (X, Y)=s (X, Y)=(δ xy+c3)/(δ x δ y+c3)
Structural similarity；Wherein s (X, Y) is the covariance of X and Y, and δ x, δ y are x respectively, and the standard deviation of y, c3 is constant.Conventional
SSIM formula is SSIM (X, Y)=[l (X, Y)]α[c(X,Y)]β[s(X,Y)]θ, wherein α, β, θ > 0.Here l (x, y) is bright
Degree compares, and c (x, y) is that contrast compares, and s (x, y) is that structure compares.In order to adapt to the detection scene demand of fire-fighting road occupying, this
In only do structure and compare, i.e. α=β=0, θ=1, then improved SSIM formula is SSIM (X, Y)=s (X, Y)=(δ xy+
c3)/(δxδy+c3).Constant c3 is set to avoid denominator as 0 bring system mistake.SSIM (X, Y) is the number between 0 to 1,
The structure gap of the bigger two field pictures for indicating comparison is smaller, i.e., passageway for fire apparatus smoothness is better.
S4, passageway for fire apparatus road occupying threshold value of warning is set as SSIM_threshold, compare SSIM (X, Y) and SSIM_
Threshold carries out the detection of passageway for fire apparatus smoothness.
Fire-fighting road occupying detection method based on SSIM algorithm of the invention obtains detection by setting video sensing area
The minimum outsourcing matrix in region, the video frame matrix of initializing set minimum outsourcing matrix institute inclusion region is compared as bottom library to be regarded
Frequency frame, using SSIM algorithm, video frame and bottom library comparison video frame to monitoring video flow carry out structural similarity comparison, simultaneously
Similar value SSIM_threshold size can be set, come set fire-fighting road occupying violation object smallest object size, thus real
Existing fire-fighting road occupying detection function.
Specifically, step S4 " sets passageway for fire apparatus road occupying threshold value of warning as SSIM_threshold, compares SSIM (X, Y)
With SSIM_threshold carry out the detection of passageway for fire apparatus smoothness " method are as follows:
S4a, initializing set passageway for fire apparatus road occupying threshold value of warning are SSIM_threshold；
S4b, the minimum outsourcing matrix image data Y for obtaining bottom library comparison video frame X and monitor video image detection region
Between similarity SSIM (X, Y) then judge there is foreign matter to account in passageway for fire apparatus if SSIM (X, Y)≤SSIM_threshold
Otherwise road judges that passageway for fire apparatus is normal.
Further include as prioritization scheme, in the step S4a initializing set continue violation foreign matter road occupying threshold value it is accumulative when
Between T_threshold, last time road occupying time of finding T_last_find=time.time ()；Then in step S4b, if SSIM
(X, Y)≤SSIM_threshold and time.time ()-T_last_find >=T_threshold, then judge passageway for fire apparatus
Inside there is foreign matter road occupying and reports fire-fighting road occupying warning message；If SSIM (X, Y)≤SSIM_threshold and time.time
()-T_last_find < T_threshold then judges to have in passageway for fire apparatus foreign matter road occupying but temporarily without any processing；If
SSIM (X, Y) > SSIM_threshold, then T_last_find=time.time ().Continue violation foreign matter by addition to account for
The road threshold value cumulative time judges the duration of fire-fighting road occupying behavior, is reported with judging whether to need to carry out alert.
In order to avoid other natural causes such as light generate interference, preferably, base of the invention to testing result
Further include the steps that " timing updates bottom library comparison video frame X " in the fire-fighting road occupying detection method of SSIM algorithm.This specific reality
Apply in example " timing update bottom library comparison video frame X " the following steps are included:
It is SSIM_threshold_update and renewal frequency interval that Sa, initializing set similarity bottom library, which update threshold value,
Time T_dist and renewal time last time T_update_time=time.time ()；
Sb, as SSIM (X, Y) >=SSIM_threshold_update, and time.time ()-T_update_time >
T_dist then replaces bottom library comparison video frame X=Y；Otherwise, without any processing.
It is to be understood that similarity bottom library, which updates threshold value SSIM_threshold_update, is greater than passageway for fire apparatus road occupying
Threshold value of warning SSIM_threshold is to ensure that the update of bottom library comparison video frame X meets the optimal cases of passageway for fire apparatus.
Preferably, in the present embodiment, time T described in step S2 is 1 second, and the frame number N is 25.
Fire-fighting road occupying detection method based on SSIM algorithm of the invention obtains detection by setting video sensing area
The minimum outsourcing matrix in region, the video frame matrix of initializing set minimum outsourcing matrix institute inclusion region is compared as bottom library to be regarded
Frequency frame, using SSIM algorithm, video frame and bottom library comparison video frame to monitoring video flow carry out structural similarity comparison, simultaneously
Similar value size can be set, come set fire-fighting road occupying violation object smallest object size, thus realize fire-fighting road occupying detect
Function.Fire-fighting road occupying detection method based on SSIM algorithm of the invention can carry out automation and intelligent inspection to passageway for fire apparatus
It surveys, so that precision and intelligence are realized in the detection work of passageway for fire apparatus, greatly improves the working efficiency of fire protection
And accuracy, great improvement result can be played for the exclusion of fire-fighting dangerous situation.Fire-fighting based on SSIM algorithm of the invention
Road occupying detection method has intelligence degree height, precision high, the high advantage of detection efficiency.
It is in summary only preferred embodiments of the present invention, practical range not for the purpose of limiting the invention.That is Fan Yiben
Equivalence changes made by the content of patent application the scope of the patents and modification all should belong to technology scope of the invention.
Claims (8)
1. the fire-fighting road occupying detection method based on SSIM algorithm, it is characterised in that: the following steps are included:
A frame image in S1, acquisition video sensing area when the normal condition of passageway for fire apparatus, and intercept detection zone on the frame image
The minimum outsourcing matrix image data X in domain compares video frame as bottom library；
S2, a frame monitor video image is obtained every time T or frame number N, intercepts detection zone on the frame monitor video image
Minimum outsourcing matrix image data Y；
S3, the knot that X and Y is calculated according to improved SSIM formula S SIM (X, Y)=s (X, Y)=(δ xy+c3)/(δ x δ y+c3)
Structure similarity；Wherein s (X, Y) is the covariance of X and Y, and δ x, δ y are x respectively, and the standard deviation of y, c3 is constant；
S4, passageway for fire apparatus road occupying threshold value of warning is set as SSIM_threshold, compare SSIM (X, Y) and SSIM_threshold
Carry out the detection of passageway for fire apparatus smoothness.
2. the fire-fighting road occupying detection method according to claim 1 based on SSIM algorithm, it is characterised in that: the step S4
Specifically includes the following steps:
S4a, initializing set passageway for fire apparatus road occupying threshold value of warning are SSIM_threshold；
S4b, it obtains between the bottom library comparison video frame X and minimum outsourcing matrix image data Y of monitor video image detection region
Similarity SSIM (X, Y) then judge there is foreign matter road occupying in passageway for fire apparatus if SSIM (X, Y)≤SSIM_threshold, it is no
Then, judge that passageway for fire apparatus is normal.
3. the fire-fighting road occupying detection method according to claim 2 based on SSIM algorithm, it is characterised in that: the step
It further include that initializing set continues violation foreign matter road occupying threshold value cumulative time T_threshold, last time road occupying discovery time in S4a
Point T_last_find=time.time ()；Then in step S4b, if SSIM (X, Y)≤SSIM_threshold and
Time.time ()-T_last_find >=T_threshold then judges to have foreign matter road occupying in passageway for fire apparatus and fire-fighting is reported to account for
Road warning message；If SSIM (X, Y)≤SSIM_threshold and time.time ()-T_last_find < T_
Threshold then judges to have in passageway for fire apparatus foreign matter road occupying but temporarily without any processing；If SSIM (X, Y) > SSIM_
Threshold, then T_last_find=time.time ().
4. the fire-fighting road occupying detection method according to claim 1 based on SSIM algorithm, it is characterised in that: the step S4
Further comprising the steps of: timing updates bottom library and compares video frame X.
5. the fire-fighting road occupying detection method according to claim 4 based on SSIM algorithm, it is characterised in that: " the timing
Update bottom library comparison video frame X " the following steps are included:
It is SSIM_threshold_update and renewal frequency interval time that Sa, initializing set similarity bottom library, which update threshold value,
T_dist and renewal time last time T_update_time=time.time ()；
Sb, as SSIM (X, Y) >=SSIM_threshold_update, and time.time ()-T_update_time > T_
Dist then replaces bottom library comparison video frame X=Y；Otherwise, without any processing.
6. the fire-fighting road occupying detection method according to claim 5 based on SSIM algorithm, it is characterised in that: the similarity
Bottom library updates threshold value SSIM_threshold_update and is greater than passageway for fire apparatus road occupying threshold value of warning SSIM_threshold.
7. the fire-fighting road occupying detection method according to claim 1 based on SSIM algorithm, it is characterised in that: the time T
It is 1 second.
8. the fire-fighting road occupying detection method according to claim 1 based on SSIM algorithm, it is characterised in that: the frame number N
It is 25.
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| CN111311923A (en) * | 2020-03-05 | 2020-06-19 | 浙江长元科技有限公司 | Fire fighting access supervision method and system |
| CN111629181A (en) * | 2020-05-19 | 2020-09-04 | 辽宁云盾网力科技有限公司 | Fire-fighting life passage monitoring system and method |
| CN111709345A (en) * | 2020-06-12 | 2020-09-25 | 重庆电政信息科技有限公司 | Method for detecting abnormal articles in fixed ring in real time |
| CN112052821A (en) * | 2020-09-15 | 2020-12-08 | 浙江智慧视频安防创新中心有限公司 | Fire fighting channel safety detection method, device, equipment and storage medium |
| CN112200027A (en) * | 2020-09-27 | 2021-01-08 | 卡斯柯信号有限公司 | Self-moving state identification method based on machine vision |
| CN112633262A (en) * | 2021-03-09 | 2021-04-09 | 微晟(武汉)技术有限公司 | Channel monitoring method and device, electronic equipment and medium |
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| CN112966545A (en) * | 2020-12-31 | 2021-06-15 | 杭州拓深科技有限公司 | Average hash-based fire fighting channel occupancy monitoring method and device, electronic device and storage medium |
| CN114333337A (en) * | 2020-09-30 | 2022-04-12 | 重庆市城投金卡信息产业(集团)股份有限公司 | Fire fighting passage occupation monitoring and early warning method and system based on RFID |
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| CN111311923A (en) * | 2020-03-05 | 2020-06-19 | 浙江长元科技有限公司 | Fire fighting access supervision method and system |
| CN111629181A (en) * | 2020-05-19 | 2020-09-04 | 辽宁云盾网力科技有限公司 | Fire-fighting life passage monitoring system and method |
| CN111709345A (en) * | 2020-06-12 | 2020-09-25 | 重庆电政信息科技有限公司 | Method for detecting abnormal articles in fixed ring in real time |
| CN112052821A (en) * | 2020-09-15 | 2020-12-08 | 浙江智慧视频安防创新中心有限公司 | Fire fighting channel safety detection method, device, equipment and storage medium |
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| CN114333337A (en) * | 2020-09-30 | 2022-04-12 | 重庆市城投金卡信息产业(集团)股份有限公司 | Fire fighting passage occupation monitoring and early warning method and system based on RFID |
| CN112633179A (en) * | 2020-12-25 | 2021-04-09 | 杭州祐全科技发展有限公司 | Farmer market aisle object occupying channel detection method based on video analysis |
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| CN112633262A (en) * | 2021-03-09 | 2021-04-09 | 微晟(武汉)技术有限公司 | Channel monitoring method and device, electronic equipment and medium |
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Application publication date: 20191112 |