CN113053136A - Road intelligent security monitored control system - Google Patents
Road intelligent security monitored control system Download PDFInfo
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- CN113053136A CN113053136A CN201911367106.4A CN201911367106A CN113053136A CN 113053136 A CN113053136 A CN 113053136A CN 201911367106 A CN201911367106 A CN 201911367106A CN 113053136 A CN113053136 A CN 113053136A
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- 238000012544 monitoring process Methods 0.000 claims abstract description 30
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
- G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
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- 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
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention provides an intelligent road security monitoring system, which relates to the field of road security monitoring, and comprises an image acquisition unit, an image processing unit, a vehicle overspeed judgment unit, a data storage unit and a data transmission unit; the image acquisition unit is used for acquiring vehicle image data in real time; the image processing unit is used for reading the vehicle image data from the image acquisition unit and extracting a key frame of the vehicle image data; the vehicle overspeed judging unit is used for reading key frames of vehicle images, comparing color values of the key frames before and after the key frames to identify vehicle information and judging whether the vehicle is overspeed or not; the data storage unit is used for storing key frames of the vehicle images and vehicle overspeed judgment results; the data transmission unit is used for uploading the vehicle overspeed judgment result to the cloud server. The invention solves the problems of complex vehicle overspeed detection and tracking process, low key frame processing speed and poor overspeed judgment real-time performance in the prior art.
Description
Technical Field
The invention relates to the field of road security monitoring, in particular to an intelligent road security monitoring system.
Background
With the development of digital video processing technology, various road video monitoring systems are widely applied to road safety management, and how to realize effective processing of road monitoring video data is an important problem. The road monitoring video has the characteristic of being different from general video, a camera is fixed at one position to shoot a road scene, scene change hardly exists, and at present, three methods are mainly used for detecting vehicle overspeed: 1. a mobile speed measuring method; 2. a fixed speed measurement method; 3. an average speed measurement method for the distance between two stations. However, the larger the video data volume is, the lower the retrieval efficiency is, and how to automatically obtain the key frame image which can most clearly reflect the information of the license plate, the vehicle type and the like of the vehicle from the video sequence of the vehicle entering the monitoring range to the video sequence of the vehicle leaving the monitoring range is the key for quickly realizing the overspeed detection.
In order to obtain a key frame image which can most clearly reflect information such as a license plate and a vehicle type of a vehicle, the installation precision of a video camera needs to be ensured; and the vehicle overspeed detection and tracking process is complex, the key frame processing speed is slow, and the overspeed judgment real-time is poor.
Disclosure of Invention
In view of the above disadvantages of the prior art, the present invention aims to provide an intelligent road security monitoring system, which solves the problems of the prior art that the vehicle overspeed detection and tracking process is complex, the key frame processing speed is slow, and the real-time performance of overspeed judgment is poor.
The invention provides an intelligent road security monitoring system, which comprises an image acquisition unit, an image processing unit, a vehicle overspeed judging unit, a data storage unit and a data transmission unit, wherein the image acquisition unit is used for acquiring images of road surfaces; the image acquisition unit is used for acquiring vehicle image data in real time; the image processing unit is used for reading the vehicle image data from the image acquisition unit and extracting a key frame of the vehicle image data; the vehicle overspeed judging unit is used for reading key frames of vehicle images, comparing color values of the key frames before and after the key frames to identify vehicle information and judging whether the vehicle is overspeed or not; the data storage unit is used for storing key frames of the vehicle images and vehicle overspeed judgment results; the data transmission unit is used for uploading the vehicle overspeed judgment result to the cloud server.
In an embodiment of the present invention, the image processing unit performs feature recognition by using a classifier, and extracts a key frame from the image data; the image processing unit comprises the following processing steps:
(1) extracting a vehicle target from a monitoring video sequence acquired by an image acquisition unit, and intercepting a minimum external matrix image of the vehicle target from each frame sequence image;
(2) converting the minimum external matrix images of all vehicle targets into converted images with consistent pixel sizes;
(3) all the converted images are used as sample image sources, the images which meet the requirements of vehicle monitoring and analysis in the sample image sources are used as positive sample images, and the images which do not meet the requirements of vehicle monitoring and analysis in the sample image sources are used as negative sample images;
(4) marking all the positive sample images and the negative sample images, and setting the weight of the positive sample images to be 1 and the weight of the negative sample images to be 0;
(5) and (4) carrying out image scoring on positive image samples of the multi-frame sequence images by using a classifier, and taking the sequence image with the highest score as a key frame.
In an embodiment of the present invention, the vehicle overspeed determining unit compares color values of previous and subsequent key frames by using YUV color space characteristics to identify vehicle information, and determines whether the vehicle is overspeed; the vehicle overspeed determination unit comprises the following processing steps:
(1) converting key frames of front and rear vehicle images from an RGB color space to a YUV space;
(2) equally dividing key frames of front and rear vehicle images in a YUV space into N sections, judging one subsection in the N sections, judging the size of vehicle color signal change components in the corresponding subsection, summing the color vehicle signal change components in the N sections, if the sum of the color signal change components exceeds a preset threshold value, discarding the key frames of the vehicle images, and setting the key frames of the front and rear vehicle images as irrelevant; otherwise, storing the key frames of the vehicle images, and setting the key frames of the front and rear vehicle images as correlation;
(3) and calculating the vehicle speed of a series of related key frames by a least square method, converting the vehicle speed into the actual vehicle speed according to a calibration relation, and judging that the vehicle is overspeed if the actual vehicle speed exceeds a preset threshold value.
In an embodiment of the invention, the image capturing unit is an omnidirectional image capturing sensor.
In an embodiment of the present invention, the image processing unit and the vehicle overspeed determining unit are both virtual units on a microprocessor, and the data storage unit is a memory electrically connected to the microprocessor.
In an embodiment of the present invention, the data transmission unit is a wireless communication unit electrically connected to the microprocessor, and the wireless communication unit includes a 4G module, a Zigbee module, a Bluetooth module, a WI-FI module, and an NB-IoT module.
As mentioned above, the road intelligent security monitoring system of the invention has the following beneficial effects: according to the invention, the key frames of the vehicle image data are extracted quickly and accurately through the software unit of the microprocessor, the vehicle information is identified through comparison based on the colors of the front key frame and the rear key frame, whether the vehicle is overspeed is judged, and the overspeed judgment result is transmitted to the cloud server in real time, so that a vehicle owner can conveniently acquire the overspeed condition of the vehicle in real time, and the problems of complex vehicle overspeed detection and tracking process, low key frame processing speed and poor overspeed judgment real-time performance in the technology are solved.
Drawings
Fig. 1 is a schematic structural diagram of a road intelligent security monitoring system disclosed in an embodiment of the present invention.
Fig. 2 is a schematic diagram of the road intelligent security monitoring system disclosed in the embodiment of the present invention.
FIG. 3 is a flowchart illustrating steps of an image processing unit disclosed in an embodiment of the present invention.
Fig. 4 is a flowchart showing steps of the vehicle overspeed determination unit disclosed in the embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
As shown in fig. 2, the present invention provides an intelligent road security monitoring system, which comprises an image acquisition unit, an image processing unit, a vehicle overspeed determination unit, a data storage unit and a data transmission unit; the image acquisition unit is used for acquiring vehicle image data in real time; the image processing unit is used for reading the vehicle image data from the image acquisition unit and extracting a key frame of the vehicle image data; the vehicle overspeed judging unit is used for reading key frames of vehicle images, comparing color values of the key frames before and after the key frames to identify vehicle information and judging whether the vehicle is overspeed or not; the data storage unit is used for storing key frames of the vehicle images and vehicle overspeed judgment results; the data transmission unit is used for uploading the vehicle overspeed judgment result to the cloud server.
As shown in fig. 1, the image acquisition unit is an omnidirectional image acquisition sensor; the image processing unit and the vehicle overspeed judging unit are software units on a microprocessor, and the data storage unit is a memory electrically connected with the microprocessor; the data transmission unit is a wireless communication unit electrically connected with the microprocessor, and the wireless communication unit comprises a 4G module, a Zigbee module, a Bluetooth module, a WI-FI module and an NB-IoT module.
Specifically, the image processing unit performs feature recognition by using a classifier, and extracts a key frame from image data; as shown in fig. 3, the image processing unit processes the steps as follows:
(1) extracting a vehicle target from a monitoring video sequence acquired by an image acquisition unit, and intercepting a minimum external matrix image of the vehicle target from each frame sequence image;
(2) converting the minimum external matrix images of all vehicle targets into converted images with consistent pixel sizes;
(3) all the converted images are used as sample image sources, the images which meet the requirements of vehicle monitoring and analysis in the sample image sources are used as positive sample images, and the images which do not meet the requirements of vehicle monitoring and analysis in the sample image sources are used as negative sample images;
the condition that the area proportion of the converted images in the sequence images is more than 50% is met, and the condition that the area proportion of the converted images in the sequence images is less than 50% is met.
(4) Marking all the positive sample images and the negative sample images, and setting the weight of the positive sample images to be 1 and the weight of the negative sample images to be 0;
(5) and (4) carrying out image scoring on positive image samples of the multi-frame sequence images by using a classifier, and taking the sequence image with the highest score as a key frame.
Specifically, the vehicle overspeed determination unit compares color values of front and rear key frames by using YUV color space characteristics to identify vehicle information, and determines whether the vehicle is overspeed; as shown in fig. 4, the vehicle overspeed determination unit processes as follows:
(1) converting key frames of front and rear vehicle images from an RGB color space to a YUV space;
(2) equally dividing key frames of front and rear vehicle images in a YUV space into N sections, judging one subsection in the N sections, judging the size of vehicle color signal change components in the corresponding subsection, summing the color vehicle signal change components in the N sections, if the sum of the color signal change components exceeds a preset threshold value, discarding the key frames of the vehicle images, and setting the key frames of the front and rear vehicle images as irrelevant; otherwise, storing the key frames of the vehicle images, and setting the key frames of the front and rear vehicle images as correlation;
(3) and calculating the vehicle speed of a series of related key frames by a least square method, converting the vehicle speed into the actual vehicle speed according to a calibration relation, and judging that the vehicle is overspeed if the actual vehicle speed exceeds a preset threshold value.
In summary, the invention rapidly and accurately obtains the key frames for extracting the vehicle image data through the software unit of the microprocessor, compares and identifies the vehicle information based on the colors of the front key frame and the rear key frame, judges whether the vehicle is overspeed, and transmits the overspeed judgment result to the cloud server in real time, so that the vehicle owner can conveniently acquire the overspeed condition of the vehicle in real time, and the problems of complex vehicle overspeed detection and tracking process, low key frame processing speed and poor overspeed judgment real-time performance in the technology are solved. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (6)
1. The utility model provides a road intelligent security monitored control system which characterized in that: the security monitoring system comprises an image acquisition unit, an image processing unit, a vehicle overspeed judging unit, a data storage unit and a data transmission unit; the image acquisition unit is used for acquiring vehicle image data in real time; the image processing unit is used for reading the vehicle image data from the image acquisition unit and extracting a key frame of the vehicle image data; the vehicle overspeed judging unit is used for reading key frames of vehicle images, comparing color values of the key frames before and after the key frames to identify vehicle information and judging whether the vehicle is overspeed or not; the data storage unit is used for storing key frames of the vehicle images and vehicle overspeed judgment results; the data transmission unit is used for uploading the vehicle overspeed judgment result to the cloud server.
2. The road intelligent security monitoring system of claim 1, characterized in that: the image processing unit utilizes the classifier to perform feature recognition and extracts key frames from the image data; the image processing unit comprises the following processing steps:
(1) extracting a vehicle target from a monitoring video sequence acquired by an image acquisition unit, and intercepting a minimum external matrix image of the vehicle target from each frame sequence image;
(2) converting the minimum external matrix images of all vehicle targets into converted images with consistent pixel sizes;
(3) all the converted images are used as sample image sources, the images which meet the requirements of vehicle monitoring and analysis in the sample image sources are used as positive sample images, and the images which do not meet the requirements of vehicle monitoring and analysis in the sample image sources are used as negative sample images;
(4) marking all the positive sample images and the negative sample images, and setting the weight of the positive sample images to be 1 and the weight of the negative sample images to be 0;
(5) and (4) carrying out image scoring on positive image samples of the multi-frame sequence images by using a classifier, and taking the sequence image with the highest score as a key frame.
3. The road intelligent security monitoring system of claim 2, characterized in that: the vehicle overspeed judging unit compares color values of front and rear key frames by using YUV color space characteristics to identify vehicle information and judges whether the vehicle is overspeed or not; the vehicle overspeed determination unit comprises the following processing steps:
(1) converting key frames of front and rear vehicle images from an RGB color space to a YUV space;
(2) equally dividing key frames of front and rear vehicle images in a YUV space into N sections, judging one subsection in the N sections, judging the size of vehicle color signal change components in the corresponding subsection, summing the color vehicle signal change components in the N sections, if the sum of the color signal change components exceeds a preset threshold value, discarding the key frames of the vehicle images, and setting the key frames of the front and rear vehicle images as irrelevant; otherwise, storing the key frames of the vehicle images, and setting the key frames of the front and rear vehicle images as correlation;
(3) and calculating the vehicle speed of a series of related key frames by a least square method, converting the vehicle speed into the actual vehicle speed according to a calibration relation, and judging that the vehicle is overspeed if the actual vehicle speed exceeds a preset threshold value.
4. The road intelligent security monitoring system of claim 1, characterized in that: the image acquisition unit is an omnibearing image acquisition sensor.
5. The road intelligent security monitoring system of claim 1, characterized in that: the image processing unit and the vehicle overspeed judging unit are software units on a microprocessor, and the data storage unit is a memory electrically connected with the microprocessor.
6. The road intelligent security monitoring system of claim 1, characterized in that: the data transmission unit is a wireless communication unit electrically connected with the microprocessor, and the wireless communication unit comprises a 4G module, a Zigbee module, a Bluetooth module, a WI-FI module and an NB-IoT module.
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| CN201911367106.4A CN113053136A (en) | 2019-12-26 | 2019-12-26 | Road intelligent security monitored control system |
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| CN103871077A (en) * | 2014-03-06 | 2014-06-18 | 中国人民解放军国防科学技术大学 | Extraction method for key frame in road vehicle monitoring video |
| CN104408942A (en) * | 2014-11-27 | 2015-03-11 | 天津艾思科尔科技有限公司 | Intelligent vehicle speed measuring device and method |
| CN107895492A (en) * | 2017-10-24 | 2018-04-10 | 河海大学 | A kind of express highway intelligent analysis method based on conventional video |
| CN108919256A (en) * | 2018-07-24 | 2018-11-30 | 河北德冠隆电子科技有限公司 | Four-dimensional outdoor scene traffic simulation overspeed of vehicle all-the-way tracking detection alarm system and method |
-
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- 2019-12-26 CN CN201911367106.4A patent/CN113053136A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1804927A (en) * | 2005-12-28 | 2006-07-19 | 浙江工业大学 | Omnibearing visual sensor based road monitoring apparatus |
| CN103198669A (en) * | 2013-03-06 | 2013-07-10 | 安徽云盛信息科技有限公司 | Video monitoring system in intelligent transportation system |
| CN103871077A (en) * | 2014-03-06 | 2014-06-18 | 中国人民解放军国防科学技术大学 | Extraction method for key frame in road vehicle monitoring video |
| CN104408942A (en) * | 2014-11-27 | 2015-03-11 | 天津艾思科尔科技有限公司 | Intelligent vehicle speed measuring device and method |
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