CN110070729B - Illegal parking vehicle detection system and method based on fog calculation - Google Patents
Illegal parking vehicle detection system and method based on fog calculation Download PDFInfo
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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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/097—Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention discloses a fog-calculation-based illegal parking vehicle detection system, which relates to the technical field of traffic control systems. The camera shoots the parking condition of the covered area in real time, and the shot video frame image is marked with a no-parking area; the edge computing equipment detects whether vehicles stay overtime in a no-parking area of the video frame image and sends information of the vehicles staying overtime to the fog computing node; the fog computing node identifies vehicle information and sends the vehicle information and the vehicle position to the service platform; the working personnel process the illegal parking information of the vehicle through the service platform, inquire the owner information of the illegal parking vehicle through the vehicle registration information database, and then send warning information to the owner. The invention also discloses a method for detecting the illegal vehicle.
Description
Technical Field
The invention relates to the technical field of traffic control systems, in particular to a system and a method for detecting illegal vehicles based on fog calculation.
Background
Fog computing is an extended concept of cloud computing initiated by Cisco, and is different from cloud computing, wherein the fog computing is mainly based on small clouds such as personal clouds, private clouds, enterprise clouds and the like. The edge network device mainly used by the fog can be a traditional network device (a router, a switch, a gateway and the like which are already deployed in the network) or a specially deployed local server, and the computing power of the edge network device is located between the cloud end and the edge terminal. The most important advantages of fog computation are low latency and location awareness, as it is closer to the edge of the network.
In a large city, vehicles are numerous, the traffic jam phenomenon caused by illegal parking is rare, although a traffic police patrols on the street every day, manual patrol inspection is inevitable to omit, in addition, manual subjective judgment on parking time is difficult to avoid error penalty, and meanwhile, the workload of traffic management personnel is increased.
The Chinese patent application 201710446513 discloses a vehicle illegal parking detection and vehicle whistle monitoring and early warning device and a method thereof, wherein the illegal parking detection is realized by fixedly mounting the monitoring and early warning device on a vehicle, and the method has the problem that if a vehicle owner refuses to mount or intentionally damages equipment, the illegal parking detection cannot be realized.
Disclosure of Invention
Aiming at the requirements and the defects of the prior art development, the invention provides a system and a method for detecting the illegal parking vehicles based on fog calculation, and the real-time and efficient detection of the illegal parking vehicles is realized.
Firstly, the invention discloses a system for detecting illegal vehicles based on fog calculation, which adopts the following technical scheme for solving the technical problems:
a fog calculation-based illegal vehicle detection system structurally comprises:
the system comprises a camera arranged on the roadside, a camera, a monitoring unit and a display unit, wherein the camera shoots the parking condition of a covered area in real time, and a video frame image shot by the camera marks a no-parking area;
the edge computing equipment is connected with the camera, detects whether vehicles staying overtime exist in a no-parking area of the shot video frame image and sends information of the vehicles staying overtime to the fog computing node;
the method comprises the steps that a fog computing node collects and identifies vehicle information output by edge computing equipment in a network coverage area, and then sends the vehicle position and the identified vehicle information to a traffic management center service platform;
the traffic management center service platform is in communication connection with the vehicle registration information database, staff of the traffic management center process the illegal parking information of the vehicle through the service platform, meanwhile, the vehicle registration information database inquires the owner information of the illegal parking vehicle, and sends warning information to the owner to remind the illegal parking details of the vehicle.
Optionally, the video frame image shot by the related camera is marked with a forbidden area, the forbidden area is drawn by the driving road, or the forbidden area is manually marked after a video frame image without a vehicle violating parking is selected.
Optionally, the edge computing device detects whether there is a vehicle staying overtime in a no-parking area of the captured video frame image, and the specific detection process includes:
1) the edge computing equipment stores the video frame image of the vehicles which do not stop in the forbidden area as a background picture;
2) the edge computing equipment executes difference between the input image in the no-parking area and the background image, and extracts a circumscribed rectangle of the foreground target;
3) the method comprises the following steps that edge computing equipment tracks the motion track of a foreground target, and the position information of each track point and the frame number of an image where the track point is located are recorded;
4) the edge computing device calculates the dwell time of the target at a location:
4a) if the staying time is larger than a set time threshold, judging that the target is illegal, intercepting the picture of the current video frame image forbidden region by the edge computing equipment, and sending the picture and the position information to the fog computing node;
4b) if the staying time is not more than the set time threshold, the moving target is determined, and the step 2) is returned to.
Optionally, the involved fog computing nodes are hardware units with computing power;
alternatively, the first and second electrodes may be,
the fog computing node is an Arm mainboard carrying a Linux system or a PC mainboard carrying a Windows system, and the selection type of the fog computing node is determined according to different information amount to be processed.
Secondly, the invention also discloses a method for detecting the illegal parking vehicles based on the fog calculation, which is based on a camera arranged on the roadside, edge calculation equipment connected with the camera, a fog calculation node for collecting and identifying the output information of the edge calculation equipment in the network coverage area, and a traffic management center service platform in communication connection with a vehicle registration information database;
the method comprises the following implementation processes:
step oneAnd manually marking the coordinates (x) of the forbidden area A in the video shot by the monitoring cameratop，ytop，xbottom，ybottom)；
Step two, the edge computing equipment stores the picture of the area A without the illegal vehicle as a background picture;
thirdly, the edge computing equipment executes difference between the input image in the area A and the background image, and extracts a circumscribed rectangle of the foreground target;
tracking the movement track of the foreground target, and recording the position information of each track point and the frame number of the image where the track point is located;
step five, calculating the staying time of the target at a certain position, if the staying time is greater than a set time threshold, judging the target as an illegal target, otherwise, judging the target as a moving target, and if the target is judged as an illegal target, intercepting the picture in the current frame area A and sending the picture and the position information to a service fog node by the edge computing equipment;
Step six, detecting illegal parking targets in the area A by the fog nodes, identifying license plates, and uploading license plates and corresponding position information to a traffic management center;
and seventhly, dispatching a worker to the illegal parking position by the traffic management center to process in time, inquiring the owner information from the vehicle registration information database, and sending warning information to the owner to remind the owner of illegal parking of the vehicle.
Specifically, in step four, tracking the motion trajectory of the foreground object specifically includes:
1) extracting a circumscribed rectangle of the target contour in the current image, and associating the circumscribed rectangle with the existing target track;
2) comparing the central point of the circumscribed rectangle of the current target with the central point of the existing target, judging that the two targets are associated when the distance between the two points is less than a certain threshold value, otherwise, judging that the two targets are a new target, and initializing the track of the new target;
3) if the association is successful, the position information of the contour is added to the corresponding track.
Specifically, in step five, the residence time of the target at a certain position is calculated, and the specific calculation method is as follows:
and calculating the frame number difference of the image of the current frame and the last track point of the target, and calculating the staying time of the target at the position according to the frame number difference and the frame rate.
Specifically, the related camera shoots the parking condition of the covered area in real time, and a video frame image shot by the camera marks a no-parking area; the no-parking area is drawn by the driving road, or the no-parking area is manually marked after a video frame image without an illegal vehicle is selected.
Specifically, the involved fog computing nodes are hardware units with computing capability;
alternatively, the first and second electrodes may be,
the fog computing node is an Arm mainboard carrying a Linux system or a PC mainboard carrying a Windows system, and the selection type of the fog computing node is determined according to different information amount to be processed.
Compared with the prior art, the illegal parking vehicle detection system and method based on the fog calculation have the beneficial effects that:
1) the invention relates to a parking violation vehicle detection system, which is based on a camera arranged on a roadside, an edge computing device connected with the camera, a fog computing node for collecting and identifying vehicle information output by the edge computing device in a network coverage area, and a traffic management center service platform in communication connection with a vehicle registration information database, wherein the parking condition of a covered area is shot in real time through the camera, a forbidden area is marked on a shot video frame image, whether vehicles stay overtime in the forbidden area of the shot video frame image exist or not is detected through the edge computing device, the vehicle information staying overtime is sent to the fog computing node, the position of the vehicle and the identified vehicle information are sent to the traffic management center service platform through the fog computing node, and finally, workers in the traffic management center process the parking violation information of the vehicle through the service platform, the vehicle registration information database is also used for inquiring the owner information of the illegal parking vehicle, and sending warning information to the owner to remind the illegal parking details of the vehicle; the whole working process of the system is efficient and rapid, manual detection is not needed, and only the information acquisition of the illegal parking vehicle and the sending of warning information to the illegal parking owner are manually completed, so that the real-time detection of the road is realized, and the traffic jam caused by the illegal parking of the vehicle is avoided;
2) The method for detecting the illegal parking vehicles is combined with the illegal parking vehicle detection system, and is based on the cameras arranged on the roadside, the edge computing equipment connected with the cameras, the fog computing node for collecting and identifying vehicle information output by the edge computing equipment in the network coverage area and the traffic management center service platform in communication connection with the vehicle registration information database, so that the automatic detection of the illegal parking vehicles is realized, and the traffic jam caused by the illegal parking of the vehicles is fundamentally avoided.
Drawings
FIG. 1 is a block diagram of a first embodiment of the present invention;
fig. 2 is a flow chart of a second embodiment of the present invention.
The reference information in the drawings indicates:
1. a camera, 2, edge computing equipment, 3, a fog computing node,
4. a traffic management center service platform 5 and a vehicle registration information database.
Detailed Description
In order to make the technical solutions, technical problems to be solved, and technical effects of the present invention more clearly apparent, the technical solutions of the present invention are described below in detail with reference to specific embodiments. All embodiments that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention are within the protection scope of the present invention.
The first embodiment is as follows:
with reference to fig. 1, the present embodiment provides a system for detecting a parking violation based on fog calculation, which comprises:
the system comprises a camera 1 arranged on the roadside, wherein the camera 1 shoots the parking condition of a covered area in real time, and a video frame image shot by the camera 1 marks a no-parking area;
the edge computing equipment 2 is connected with the camera 1, and the edge computing equipment 2 detects whether vehicles staying overtime exist in a no-parking area of a shot video frame image and sends information of the vehicles staying overtime to the fog computing node 3;
the fog computing node 3 collects and identifies vehicle information output by the edge computing device 2 in a network coverage area, and then sends the vehicle position and the identified vehicle information to the traffic management center service platform 4;
the traffic control center service platform 4 is in communication connection with the vehicle registration information database 5, and staff of the traffic control center process the illegal parking information of the vehicle through the service platform, meanwhile, the vehicle registration information database 5 inquires the owner information of the illegal parking vehicle, and sends warning information to the owner to remind the illegal parking details of the vehicle.
In this embodiment, the video frame image shot by the camera 1 is marked with a no-parking area, which is drawn by the driving road itself, or the no-parking area is manually marked after selecting a video frame image without a vehicle violating parking.
In this embodiment, the edge computing device 2 detects whether there is a vehicle staying overtime in the no-parking area of the captured video frame image, and the specific detection process includes:
1) the edge computing equipment 2 stores the video frame image of the vehicles which do not stop in the forbidden area as a background picture;
2) the edge computing equipment 2 executes the difference between the input image in the no-parking area and the background picture and extracts the circumscribed rectangle of the foreground target;
3) the edge computing equipment 2 tracks the motion trail of the foreground target and records the position information of each track point and the frame number of the image where the track point is located;
4) the edge computing device 2 calculates the dwell time of the object at a certain location:
4a) if the staying time is longer than the set time threshold, the target is judged to be illegal, the edge computing equipment 2 intercepts the picture of the current video frame image forbidden region and sends the picture and the position information to the fog computing node 3;
4b) if the staying time is not more than the set time threshold, the moving target is determined, and the step 2) is returned to.
In the present embodiment, the concerned fog computing node 3 is a hardware unit with computing capabilities;
alternatively, the first and second electrodes may be,
the involved fog computing node 3 is an Arm mainboard with a Linux system or a PC mainboard with a Windows system, and the selection type of the node is determined according to different information amount to be processed.
Example two:
with reference to fig. 2, the present embodiment provides a method for detecting illegal parking vehicles based on fog calculation, which is based on a camera 1 disposed at the roadside, an edge computing device 2 connected to the camera 1, a fog computing node 3 for collecting and identifying output information of the edge computing device 2 in a network coverage area, and a traffic management center service platform 4 communicatively connected to a vehicle registration information database 5;
the method comprises the following implementation processes:
step one, manually marking the coordinates (x) of a forbidden area A in a video shot by a monitoring camera 1top，ytop，xbottom，ybottom)；
Step two, the edge computing equipment 2 stores the picture of the area A without the illegal vehicle as a background picture;
thirdly, the edge computing equipment 2 executes difference between the input image in the area A and the background image, and extracts a circumscribed rectangle of the foreground target;
tracking the movement track of the foreground target, and recording the position information of each track point and the frame number of the image where the track point is located;
step five, calculating the staying time of the target at a certain position, if the staying time is greater than a set time threshold, determining the target as an illegal target, otherwise, determining the target as a moving target, and if the target is determined as an illegal target, intercepting the picture in the current frame area A and sending the picture and the position information to a service fog node by the edge calculation equipment 2;
Step six, detecting illegal parking targets in the area A by the fog nodes, identifying license plates, and uploading license plates and corresponding position information to a traffic management center;
and seventhly, dispatching a worker to the illegal parking position by the traffic management center to process in time, inquiring the owner information from the vehicle registration information database 5, and sending warning information to the owner to remind the owner of illegal parking of the vehicle.
In this embodiment, in the fourth step, tracking the motion trajectory of the foreground object specifically includes:
1) extracting a circumscribed rectangle of the target contour in the current image, and associating the circumscribed rectangle with the existing target track;
2) comparing the central point of the circumscribed rectangle of the current target with the central point of the existing target, judging that the two targets are associated when the distance between the two points is less than a certain threshold value, otherwise, judging that the two targets are a new target, and initializing the track of the new target;
3) if the association is successful, the position information of the contour is added to the corresponding track.
In this embodiment, in the related step five, the staying time of the target at a certain position is calculated, and the specific calculation method is as follows:
and calculating the frame number difference of the image of the current frame and the last track point of the target, and calculating the staying time of the target at the position according to the frame number difference and the frame rate.
In the embodiment, the related camera 1 shoots the parking condition of the covered area in real time, and the video frame image shot by the camera 1 is marked with a no-parking area; the no-parking area is drawn by the driving road, or the no-parking area is manually marked after a video frame image without an illegal vehicle is selected.
In the present embodiment, the concerned fog computing node 3 is a hardware unit with computing capabilities;
alternatively, the first and second electrodes may be,
the involved fog computing node 3 is an Arm mainboard with a Linux system or a PC mainboard with a Windows system, and the selection type of the node is determined according to different information amount to be processed.
The principle and embodiments of the present invention are described in detail by using specific examples, which are only used to help understanding the core technical content of the present invention, and are not used to limit the protection scope of the present invention, and the technical solution of the present invention is not limited to the specific embodiments described above. Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (8)
1. A fog-calculation-based illegal vehicle detection system is characterized by structurally comprising:
the camera is arranged on the roadside and is used for shooting the parking condition of the covered area in real time, and a video frame image shot by the camera is marked with a no-parking area;
the edge computing equipment is connected with the camera, detects whether vehicles staying overtime exist in a no-parking area of the shot video frame image and sends information of the vehicles staying overtime to the fog computing node, and the specific detection process is as follows:
1) the edge computing device stores the video frame image of the vehicles which are not parked in the forbidden area as a background picture,
2) the edge computing device performs the difference between the input image in the forbidden zone and the background picture, extracts the circumscribed rectangle of the foreground target,
3) the edge computing equipment tracks the movement track of the foreground object, records the position information of each track point and the frame number of the image where the track point is positioned,
4) the edge computing device calculates the dwell time of the target at a location,
4a) if the staying time is larger than the set time threshold, the target is judged to be illegal, the edge computing equipment intercepts the picture of the forbidden region of the current video frame image and sends the picture and the position information to the fog computing node,
4b) If the staying time is not more than the set time threshold, judging that the moving target is the moving target, and returning to execute the step 2);
the method comprises the steps that a fog computing node collects and identifies vehicle information output by edge computing equipment in a network coverage area, and then sends the vehicle position and the identified vehicle information to a traffic management center service platform;
the traffic management center service platform is in communication connection with the vehicle registration information database, staff of the traffic management center process the illegal parking information of the vehicle through the service platform, meanwhile, the vehicle registration information database inquires the owner information of the illegal parking vehicle, and sends warning information to the owner to remind the illegal parking details of the vehicle.
2. The fog-calculation-based illegal vehicle detection system as claimed in claim 1, wherein the video frame images shot by the camera are marked with an illegal parking area, which is drawn by the driving road itself, or the illegal parking area is manually marked after a video frame image without illegal vehicles is selected.
3. The fog-computing-based illicit vehicle detection system of claim 1, wherein the fog computing node is a computing-capable hardware unit.
4. A detection method of illegal parking vehicles based on fog calculation is characterized in that the method is based on a camera arranged on a roadside, edge calculation equipment connected with the camera, a fog calculation node for collecting and identifying output information of the edge calculation equipment in a network coverage area, and a traffic management center service platform in communication connection with a vehicle registration information database;
the method comprises the following implementation processes:
step one, manually marking the coordinates (x) of a forbidden area A in a video shot by a monitoring cameratop，ytop，xbottom，ybottom）；
Step two, the edge computing equipment stores the picture of the area A without the illegal vehicle as a background picture;
thirdly, the edge computing equipment executes difference between the input image in the area A and the background image, and extracts a circumscribed rectangle of the foreground target;
tracking the movement track of the foreground target, and recording the position information of each track point and the frame number of the image where the track point is located;
step five, calculating the staying time of the target at a certain position, if the staying time is greater than a set time threshold, judging the target as an illegal target, otherwise, judging the target as a moving target, and if the target is judged as an illegal target, intercepting the picture in the current frame area A and sending the picture and the position information to a service fog node by the edge computing equipment;
Step six, detecting illegal parking targets in the area A by the fog nodes, identifying license plates, and uploading license plates and corresponding position information to a traffic management center;
and seventhly, dispatching a worker to the illegal parking position by the traffic management center to process in time, inquiring the owner information from the vehicle registration information database, and sending warning information to the owner to remind the owner of illegal parking of the vehicle.
5. The method for detecting illegal vehicles based on fog calculation as claimed in claim 4, wherein in step four, the tracking of the movement locus of the foreground object specifically comprises:
1) extracting a circumscribed rectangle of the target contour in the current image, and associating the circumscribed rectangle with the existing target track;
2) comparing the central point of the circumscribed rectangle of the current target with the central point of the existing target, judging that the two targets are associated when the distance between the two points is less than a certain threshold value, otherwise, judging that the two targets are a new target, and initializing the track of the new target;
3) if the association is successful, the position information of the contour is added to the corresponding track.
6. The fog-calculation-based illegal vehicle detection method according to claim 4, wherein in the fifth step, the stay time of the target at a certain position is calculated by the specific calculation method:
And calculating the frame number difference of the image of the current frame and the last track point of the target, and calculating the staying time of the target at the position according to the frame number difference and the frame rate.
7. The fog-calculation-based illegal parking vehicle detection method according to claim 4, characterized in that a camera shoots the parking condition of the covered area in real time, and a video frame image shot by the camera is marked with an illegal parking area; the no-parking area is drawn by the driving road, or the no-parking area is manually marked after a video frame image without an illegal vehicle is selected.
8. The fog-computation-based illicit vehicle detection method according to claim 4, characterized in that the fog computation node is a computing-capable hardware unit.
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| CN111615049B (en) * | 2020-04-17 | 2022-07-19 | 北京中交兴路车联网科技有限公司 | Early warning method and device based on vehicle position information, storage medium and terminal |
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