CN112580608A - Visual vehicle detection method and system - Google Patents
Visual vehicle detection method and system Download PDFInfo
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- CN112580608A CN112580608A CN202110021853.3A CN202110021853A CN112580608A CN 112580608 A CN112580608 A CN 112580608A CN 202110021853 A CN202110021853 A CN 202110021853A CN 112580608 A CN112580608 A CN 112580608A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
Abstract
The invention relates to the technical field of visual vehicle detection, in particular to a visual vehicle detection method, which comprises the following steps: s1, placing the detected product in a vehicle-free environment, marking the detected product as a negative sample template through the imaging unit information on the sensor, and storing the negative sample template in a single chip microcomputer database; s2, collecting the pattern shot when the vehicle passes by through the camera lens, and transmitting the pattern to the identification unit; s3, extracting the negative sample template in the singlechip database through the extracting unit, and transmitting the negative sample template to the identifying unit; s4, comparing the negative sample template with the environment template in the database through the identification unit; s5, analyzing and comparing the collected images through the recognition algorithm of the recognition module, solving the problems that the automobile visual detection is interfered by external environment factors and the detection effect is poor.
Description
Technical Field
The invention relates to the technical field of visual vehicle detection, in particular to a visual vehicle detection method and system.
Background
The general principle of visual vehicle detection is that a large number of artificially labeled positive and negative sample libraries are used for training a two-classification classifier for classifying vehicles and backgrounds, so that vehicle detection of each frame of image in an acquired image sequence is realized; the positive sample is a picture containing a vehicle, and the negative sample is a background picture containing no vehicle. Under the detection method, because the state of the automobile in the moving process is unstable, the existing detection equipment cannot identify the number and the positions of the vehicles in sunny days, cloudy days, daytime and night, and the detection interference is strong.
Disclosure of Invention
The invention aims to solve the defects that in the prior art, when the automobile vision detection is carried out, the automobile vision detection is interfered by external environment factors and the detection effect is not good, and provides a vision vehicle detection method and a vision vehicle detection system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a visual vehicle detection method and system includes the following steps:
s1, placing the detected product in a vehicle-free environment, acquiring background information of a detection area through an imaging unit on a sensor, marking the background information as a negative sample template through a marking unit, and storing the negative sample template into a single chip microcomputer database through a storage unit;
s2, continuously collecting the patterns shot when the vehicle passes by through a camera lens on the sensor, and transmitting the patterns to a recognition unit;
s3, extracting the negative sample template in the singlechip database through the extracting unit, and transmitting the negative sample template to the identifying unit;
s4, comparing the negative sample template with the environment template in the database through the identification unit;
and S5, analyzing the acquired images through the identification algorithm of the identification module, obtaining the results of the existence and the state of the vehicle under the calculation and analysis of the single chip microcomputer, and finally outputting the results through the output unit.
Preferably, the imaging unit captures a picture photographed in real time by infrared imaging.
Preferably, the identification module is used for identifying static and dynamic states of vehicles, identifying vehicles of different types and extracting and comparing pattern features.
Preferably, the recognition algorithm in the recognition module is used for pattern feature extraction, image noise filtering, image deformation, image cutting, differential contour recognition, static recognition, dynamic target tracking and target measurement.
A visual vehicle detection system is composed of an imaging unit, a labeling unit, a storage unit, a single chip microcomputer database, a calling unit, an identification unit and an output unit.
Preferably, the imaging unit captures vehicle motion information by infrared imaging and transfers the captured information to the recognition unit.
Preferably, the identification unit is used for comparing and identifying the picture features captured in real time with negative sample templates in the sample library.
The invention has the beneficial effects that: through the detection method provided by the scheme, the problems that when the automobile vision detection is carried out, the automobile vision detection is interfered by external environment factors and the detection effect is not good are solved.
Drawings
Fig. 1 is a system diagram of a visual vehicle detection method and system 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.
In this embodiment, referring to fig. 1, a visual vehicle detection method and system includes the following steps:
s1, placing the detected product in a vehicle-free environment, acquiring background information of a detection area through an imaging unit on a sensor, marking the background information as a negative sample template through a marking unit, and storing the negative sample template into a single chip microcomputer database through a storage unit;
s2, continuously collecting the patterns shot when the vehicle passes by through a camera lens on the sensor, and transmitting the patterns to a recognition unit;
s3, extracting the negative sample template in the singlechip database through the extracting unit, and transmitting the negative sample template to the identifying unit;
s4, comparing the negative sample template with the environment template in the database through the identification unit;
and S5, analyzing the acquired images through the identification algorithm of the identification module, obtaining the results of the existence and the state of the vehicle under the calculation and analysis of the single chip microcomputer, and finally outputting the results through the output unit.
The system comprises an imaging unit, a labeling unit, a storage unit, a single chip microcomputer database, a calling unit, an identification unit and an output unit, wherein the imaging unit captures and shoots a picture shot in real time through infrared imaging, the identification module is used for carrying out static and dynamic identification, different types of vehicle identification and pattern feature extraction and comparison on vehicles, an identification algorithm in the identification module is used for carrying out pattern feature extraction, image noise filtering, image deformation, image cutting, differential contour identification, static identification, dynamic target tracking and target measurement and calculation, the imaging unit captures dynamic information of the vehicles through infrared shooting and transmits the captured information to the identification unit, and the identification unit is used for carrying out comparison and identification on the picture features captured in real time and a negative sample template in the sample library.
When shooting, need select infrared sensing element, will form an image and reach the best effect that the discernment required, here, in order to improve the efficiency that detects, also can utilize the singlechip to do a large amount of "study", promptly under no car environment, take the photo of some negative sample templates under the different environment more, for example cloudy day, rainy day, fog day, evening etc. through gathering a large amount of sample analysis contrasts, makes the discernment contrast reference object of singlechip more obvious, like this, is favorable to discerning vehicle state information with higher speed.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. A visual vehicle detection method, comprising the steps of:
s1, placing the detected product in a vehicle-free environment, acquiring background information of a detection area through an imaging unit on a sensor, marking the background information as a negative sample template through a marking unit, and storing the negative sample template into a single chip microcomputer database through a storage unit;
s2, continuously collecting the patterns shot when the vehicle passes by through a camera lens on the sensor, and transmitting the patterns to a recognition unit;
s3, extracting the negative sample template in the singlechip database through the extracting unit, and transmitting the negative sample template to the identifying unit;
s4, comparing the negative sample template with the environment template in the database through the identification unit;
and S5, analyzing the acquired images through the identification algorithm of the identification module, obtaining the results of the existence and the state of the vehicle under the calculation and analysis of the single chip microcomputer, and finally outputting the results through the output unit.
2. The visual vehicle detecting method according to claim 1, wherein the imaging unit captures a picture photographed in real time by infrared imaging.
3. The visual vehicle detection method of claim 1, wherein the recognition module is used for static and dynamic recognition of vehicles, recognition of different types of vehicles and extraction and comparison of pattern features.
4. The visual vehicle detection method of claim 1, wherein the recognition algorithm in the recognition module is used for pattern feature extraction, image noise filtering, image deformation, image cutting, differential contour recognition, static recognition, dynamic target tracking and target calculation.
5. The visual vehicle inspection system of claim 1, wherein the system is comprised of an imaging unit, a labeling unit, a storage unit, a single-chip database, a retrieval unit, an identification unit, and an output unit.
6. The visual vehicle detection method and system of claim 5, wherein the imaging unit captures vehicle motion information by infrared camera and forwards the captured information to the recognition unit.
7. The visual vehicle detection method and system according to claim 5, wherein the recognition unit is configured to recognize the real-time captured image feature in comparison with a negative sample template in the sample library.
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| CN202110021853.3A CN112580608A (en) | 2021-01-08 | 2021-01-08 | Visual vehicle detection method and system |
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| CN202110021853.3A CN112580608A (en) | 2021-01-08 | 2021-01-08 | Visual vehicle detection method and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113376707A (en) * | 2021-04-30 | 2021-09-10 | 天津大学 | Visual detection system for vehicle frame and detection method thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113376707A (en) * | 2021-04-30 | 2021-09-10 | 天津大学 | Visual detection system for vehicle frame and detection method thereof |
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Application publication date: 20210330 |