CN107169991A - A kind of moving target detecting method of multilayer background model - Google Patents
A kind of moving target detecting method of multilayer background model Download PDFInfo
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- CN107169991A CN107169991A CN201710328438.6A CN201710328438A CN107169991A CN 107169991 A CN107169991 A CN 107169991A CN 201710328438 A CN201710328438 A CN 201710328438A CN 107169991 A CN107169991 A CN 107169991A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
- G06T7/251—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving models
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention discloses a kind of moving target detecting method of multilayer background model, comprise the following steps：S1：Moving Targets Based on Video Streams image is gathered, and video image is pre-processed；S2：The neighborhood sample of each pixel is extracted from the first frame of video sequence, for initial background model, only needs a two field picture to complete the initialization of background model；S3：Random sampling technique is introduced, a unmatched code word is randomly selected, is replaced using new background pixel, it is to avoid the code word of mistake classification is resided in background model for a long time；S4：Using multilayer background model strategy, successively checking of each pixel Jing Guo multilayer background model, it is ensured that the accuracy of background model.
Description
Technical field
The present invention relates to field, and in particular to a kind of moving target detecting method of multilayer background model.
Background technology
Intelligent video monitoring for today's society security administration and maintain social stability and serve important function, answered extensively
For in the industry of civilian and army.Following deficiency is still suffered from mobile target in complex background detection algorithm：
（1）Background model initializing overlong time；
（2）The renewal coefficient setting of background model does not have versatility；
（3）Single-layer background model is difficult to handle complex background interference problem.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of moving target detecting method of multilayer background model.
A kind of moving target detecting method of multilayer background model, comprises the following steps：
S1：Moving Targets Based on Video Streams image is gathered, and video image is pre-processed；
S2：The neighborhood sample of each pixel is extracted from the first frame of video sequence, for initial background model, a frame is only needed
Image can complete the initialization of background model；
S3：Random sampling technique is introduced, a unmatched code word is randomly selected, is replaced, kept away using new background pixel
The code word of fault-avoidance misclassification is resided in background model for a long time；
S4：Using multilayer background model strategy, successively checking of each pixel Jing Guo multilayer background model, it is ensured that background model
Accuracy.
Further, the establishment of multilayer background model and renewal process are as follows：
1）Master cast M (x) is created based on neighborhood initial method, meanwhile, empty level cache H (x) is respectively created and delays with two grades
Deposit model U (x)；
2）The input pixel given for t, find in the M (x) withThe code word of matchingIf,In M
(x) in, then it is assumed thatBelong to background pixel, master cast M (x) is updated using EPAM methods, step 3 is otherwise jumped to）；
3）If not finding the code word of matching, handled according to the following steps：
A）By pixelLabeled as foreground pixel；
B）Matching code word is searched in level cache model H (x)If finding the code word of matching, then using EPAM
Method is updated to H (x) and otherwise usedCreate a new code wordIt is inserted into level cache model H (x)；
C）Find in the L2 cache model U (x) withThe code word of matchingIf finding the code word of matching, then make
Model U (x) is updated with EPAM algorithms, otherwise usedCreate a new code wordIt is inserted into L2 cache model
In U (x)；
4）Using pixel classifier 2, the real background code word lifting of missing inspection is arrived in master cast M (x), process is as follows：
A）Remove the maximum duration interval of code word in L2 cache model U (x)It is more thanAll code words；By code in U (x)
The maximum duration interval of wordIt is more thanThe lifting of all code words arrive in H (x), while deleting the maximum of code word in H (x)
Time interval is more thanAll code words；
B）Remove the maximum duration interval of code word in level cache model H (x)It is more thanAll code words；By code in H (x)
The maximum duration interval of wordIt is more thanThe lifting of all code words arrive in M (x), while when deleting the maximum of code word in M (x)
Between be spacedIt is more thanAll code words；
5）For new pixelJump to step 2）Handled.
The beneficial effects of the invention are as follows：
The present invention uses and chooses sample from the neighborhood of each pixel of the first two field picture, the side initialized to background model
Case, the initialization procedure of algorithm is simplified and accelerated；By using EPAM background models more new strategy, it is to avoid by mistake
The pixel of classification is retained in background model for a long time；Due to the use of multilayer background model method, i.e., created in initial phase
One master cast, creates two cache models, by the successively checking of cache model, by the background pixel of missing inspection in detection-phase
Master cast is lifted, the accuracy of master cast is enhanced, robustness of the algorithm under complex background is improved.
Embodiment
The present invention is further elaborated for specific examples below, but not as a limitation of the invention.
A kind of moving target detecting method of multilayer background model, comprises the following steps：
S1：Moving Targets Based on Video Streams image is gathered, and video image is pre-processed；
S2：The neighborhood sample of each pixel is extracted from the first frame of video sequence, for initial background model, a frame is only needed
Image can complete the initialization of background model；
S3：Random sampling technique is introduced, a unmatched code word is randomly selected, is replaced, kept away using new background pixel
The code word of fault-avoidance misclassification is resided in background model for a long time；
S4：Using multilayer background model strategy, successively checking of each pixel Jing Guo multilayer background model, it is ensured that background model
Accuracy.
The establishment of multilayer background model and renewal process are as follows：
1）Master cast M (x) is created based on neighborhood initial method, meanwhile, empty level cache H (x) is respectively created and delays with two grades
Deposit model U (x)；
2）The input pixel given for t, find in the M (x) withThe code word of matchingIf,In M
(x) in, then it is assumed thatBelong to background pixel, master cast M (x) is updated using EPAM methods, step 3 is otherwise jumped to）；
3）If not finding the code word of matching, handled according to the following steps：
A）By pixelLabeled as foreground pixel；
B）Matching code word is searched in level cache model H (x)If finding the code word of matching, then using EPAM
Method is updated to H (x) and otherwise usedCreate a new code wordIt is inserted into level cache model H (x)；
C）Find in the L2 cache model U (x) withThe code word of matchingIf finding the code word of matching, then make
Model U (x) is updated with EPAM algorithms, otherwise usedCreate a new code wordIt is inserted into L2 cache model
In U (x)；
4）Using pixel classifier 2, the real background code word lifting of missing inspection is arrived in master cast M (x), process is as follows：
A）Remove the maximum duration interval of code word in L2 cache model U (x)It is more thanAll code words；By code in U (x)
The maximum duration interval of wordIt is more thanThe lifting of all code words arrive in H (x), while deleting the maximum of code word in H (x)
Time interval is more thanAll code words；
B）Remove the maximum duration interval of code word in level cache model H (x)It is more thanAll code words；By code in H (x)
The maximum duration interval of wordIt is more thanThe lifting of all code words arrive in M (x), while when deleting the maximum of code word in M (x)
Between be spacedIt is more thanAll code words；
5）For new pixelJump to step 2）Handled.
Claims (2)
1. a kind of moving target detecting method of multilayer background model, it is characterised in that comprise the following steps：
S1：Moving Targets Based on Video Streams image is gathered, and video image is pre-processed；
S2：The neighborhood sample of each pixel is extracted from the first frame of video sequence, for initial background model, a frame is only needed
Image can complete the initialization of background model；
S3：Random sampling technique is introduced, a unmatched code word is randomly selected, is replaced, kept away using new background pixel
The code word of fault-avoidance misclassification is resided in background model for a long time；
S4：Using multilayer background model strategy, successively checking of each pixel Jing Guo multilayer background model, it is ensured that background model
Accuracy.
2. moving target detecting method according to claim 1, it is characterised in that the establishment and renewal of multilayer background model
Process is as follows：
1）Master cast M (x) is created based on neighborhood initial method, meanwhile, empty level cache H (x) is respectively created and delays with two grades
Deposit model U (x)；
2）The input pixel given for t, find in the M (x) withThe code word of matchingIf,In M (x)
In, then it is assumed thatBelong to background pixel, master cast M (x) is updated using EPAM methods, step 3 is otherwise jumped to）；
3）If not finding the code word of matching, handled according to the following steps：
A）By pixelLabeled as foreground pixel；
B）Matching code word is searched in level cache model H (x)If finding the code word of matching, then using EPAM
Method is updated to H (x) and otherwise usedCreate a new code wordIt is inserted into level cache model H (x)；
C）Find in the L2 cache model U (x) withThe code word of matchingIf finding the code word of matching, then use
EPAM algorithms are updated to model U (x), are otherwise usedCreate a new code wordIt is inserted into L2 cache model U
(x) in；
4）Using pixel classifier 2, the real background code word lifting of missing inspection is arrived in master cast M (x), process is as follows：
A）Remove the maximum duration interval of code word in L2 cache model U (x)It is more thanAll code words；By code word in U (x)
Maximum duration intervalIt is more thanThe lifting of all code words arrive in H (x), while when deleting the maximum of code word in H (x)
Between be spaced and be more thanAll code words；
B）Remove the maximum duration interval of code word in level cache model H (x)It is more thanAll code words；By code in H (x)
The maximum duration interval of wordIt is more thanThe lifting of all code words arrive in M (x), while when deleting the maximum of code word in M (x)
Between be spacedIt is more thanAll code words；
5）For new pixelJump to step 2）Handled.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110060278A (en) * | 2019-04-22 | 2019-07-26 | 新疆大学 | The detection method and device of moving target based on background subtraction |
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2017
- 2017-05-11 CN CN201710328438.6A patent/CN107169991A/en not_active Withdrawn
Non-Patent Citations (1)
| Title |
|---|
| 曹明伟 等: ""基于多层背景模型的运动目标检测"", 《电子学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110060278A (en) * | 2019-04-22 | 2019-07-26 | 新疆大学 | The detection method and device of moving target based on background subtraction |
| CN110060278B (en) * | 2019-04-22 | 2023-05-12 | 新疆大学 | Method and device for detecting moving target based on background subtraction |
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