CN111223289A - Method and system for snapshot of illegal parking event of shared vehicle and storage medium - Google Patents
Method and system for snapshot of illegal parking event of shared vehicle and storage medium Download PDFInfo
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- CN111223289A CN111223289A CN201811425353.0A CN201811425353A CN111223289A CN 111223289 A CN111223289 A CN 111223289A CN 201811425353 A CN201811425353 A CN 201811425353A CN 111223289 A CN111223289 A CN 111223289A
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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
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/205—Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental
Abstract
The application provides a snapshot method, a snapshot system and a storage medium for a shared vehicle illegal parking event, which are used for monitoring illegal parking of a shared vehicle and are beneficial to managing the shared vehicle by departments such as traffic or city management. The sharing vehicle illegal parking event snapshot method comprises the following steps: detecting a shared vehicle and the position of the shared vehicle in a monitoring image; when the shared vehicle is determined to stop, judging whether the shared vehicle stops illegally according to the position of the stopped shared vehicle and a preset violation condition; and when the shared vehicle is determined to be parked illegally, capturing the shared vehicle, and taking the captured images with the set number as the evidence-obtaining images of the shared vehicle parked illegally.
Description
Technical Field
The application relates to the technical field of intelligent transportation, in particular to a snapshot method and a snapshot system for shared vehicle illegal parking events and a storage medium.
Background
In recent years, a new travel tool appears on the street of a city, and a user can rent a shared vehicle, such as a shared bicycle, a shared electric vehicle and the like, with a small amount of cost only by paying a proper deposit, so that the life of people is greatly facilitated.
Although some cities set up regulations for managing illegal parking of shared vehicles, the phenomenon of illegal parking of shared vehicles still exists, for example, the shared vehicles are parked on blind roads, in green belts, on sidewalks, at congested subway exits/bus stations, and occupy motor vehicle parking spaces, and if the conditions are not effectively controlled, traffic congestion is aggravated or traffic hidden troubles are brought.
Disclosure of Invention
In view of this, the present application provides a method and a system for snapshotting an illegal parking event of a shared vehicle, and a storage medium, so as to monitor illegal parking of the shared vehicle, and facilitate management of the shared vehicle by departments such as transportation or city management.
In a first aspect, an embodiment of the present application provides a method for capturing illegal parking events of shared vehicles, where the method includes:
detecting a shared vehicle and the position of the shared vehicle in a monitoring image;
when the shared vehicle is determined to stop, judging whether the shared vehicle stops illegally according to the position of the stopped shared vehicle and a preset violation condition;
and when the shared vehicle is determined to be parked illegally, capturing the shared vehicle, and taking the captured images with the set number as the evidence-obtaining images of the shared vehicle parked illegally.
According to the method, the positions of the shared vehicles and the shared vehicles in the monitoring images are detected, when the shared vehicles are determined to stop, whether the shared vehicles stop illegally is judged according to the positions of the stopped shared vehicles and preset illegal conditions, so that the illegal stopping of the shared vehicles can be monitored, when the shared vehicles stop illegally is determined, the shared vehicles which stop illegally are snapshot, and the snapshot of the snapshot set number of images is used as evidence obtaining images of the illegal stopped shared vehicles, so that the shared vehicles can be managed by departments such as traffic or city management.
In a possible implementation manner, the determining whether the shared vehicle is illegally parked according to the position of the parked shared vehicle and a preset violation condition includes:
judging whether the shared vehicle meets preset violation conditions or not according to the position of the parked shared vehicle;
if yes, determining that the shared vehicle is illegally parked;
if not, determining that the shared vehicle is normally parked.
In a possible implementation, the method further includes:
detecting the illegal parking type of the shared vehicle according to the position of the parked shared vehicle and a preset illegal condition;
the shared vehicle illegal parking type comprises at least one of:
shared vehicles are used for rolling blind roads;
the shared vehicle is parked in the green belt;
the shared vehicle is parked on the sidewalk;
sharing a subway entrance/bus stop/school entrance/window unit entrance of vehicle congestion;
the shared vehicle occupies a motor vehicle parking space.
According to the method, when whether the shared vehicle is illegally parked is detected, the type of the illegal parking of the shared vehicle is also detected, so that the method is beneficial for maintenance personnel to inquire and search.
In a possible implementation manner, the detecting the shared vehicle and the position of the shared vehicle in the monitoring image includes:
acquiring a monitoring image;
extracting a region of interest in the monitoring image;
and detecting all vehicles in the region of interest and the vehicle position of each vehicle, classifying the detected all vehicles, and determining a shared vehicle in the vehicles and the positions of the shared vehicles.
According to the method, a region of interest (ROI) in a monitored image is extracted firstly, then shared vehicles and positions of the shared vehicles in the ROI are determined, so that the calculation amount can be reduced, the detection speed is improved, all vehicles in the ROI and the vehicle positions of all the vehicles are detected firstly, then all the detected vehicles are classified, the positions of the shared vehicles and the shared vehicles in the vehicles are determined, and therefore the false detection rate can be reduced through combination of multi-target detection and an image classification technology.
In one possible implementation, the determining whether the shared vehicle is parked includes:
for each shared vehicle, determining the position of the shared vehicle in continuous M frames of monitoring images; wherein M is greater than 1;
judging whether the positions of the shared vehicles in the continuous M frames of monitoring images are consistent;
if yes, determining that the shared vehicle is parked;
if not, determining that the shared vehicle is not parked.
In a possible implementation manner, the determining the positions of the shared vehicles in the M consecutive monitoring images respectively includes:
determining the positions of the shared vehicle in the continuous M frames of monitoring images respectively by adopting a motion tracking algorithm;
determining the position of the shared vehicle in the Nth frame of monitoring image, comprising:
taking the position of the shared vehicle in the previous monitoring image of the Nth monitoring image as a candidate area of the shared vehicle in the Nth monitoring image; wherein the N frame of monitoring image belongs to the M continuous frames of monitoring images;
and determining the position of the shared vehicle in the monitoring image of the Nth frame based on the candidate area.
According to the method, the position of the shared vehicle in the previous frame of monitoring image of the Nth frame of monitoring image is used as a candidate area of the shared vehicle in the Nth frame of monitoring image, so that the position of the shared vehicle in the Nth frame of monitoring image is determined, and therefore the shared vehicle can be quickly and effectively tracked.
In one possible implementation, when it is determined that any one of the shared vehicles is illegally parked, the method further includes:
determining a confidence level of illegal parking of the shared vehicle;
when the confidence coefficient is determined to be smaller than a preset threshold value, determining that the judgment result of the illegal parking is unreasonable, and rejecting the judgment result of the illegal parking;
upon determining that no shared vehicle is illegally parked, the method further comprises:
notifying maintenance personnel whether violation conditions are increased or not;
when an instruction for increasing the violation condition is received, configuring a newly-increased violation condition;
and judging whether the shared vehicle is illegally parked again according to the currently configured illegal condition.
In the method, the condition that the judgment result of illegal parking is unreasonable can be eliminated by combining the confidence coefficient of the illegal parking of the shared vehicle, so that the false detection rate can be reduced. By adding violation conditions, the detection accuracy of violation parking can be improved.
In a possible implementation, the method further includes:
obtaining information of illegally parked shared vehicles and a vehicle maintenance party;
and sending the information of the shared vehicle to a vehicle maintenance party of the shared vehicle.
In a second aspect, an embodiment of the present application further provides a shared vehicle illegal parking event snapshot system, which includes a module configured to execute the shared vehicle illegal parking event snapshot method in the first aspect or any possible implementation manner of the first aspect.
In a third aspect, the present application further provides a storage medium, on which a computer program is stored, where the program, when executed by a processor, implements the steps of the shared vehicle illegal parking event snapshot method in the first aspect or any possible implementation manner of the first aspect.
Drawings
Fig. 1 is a schematic flowchart of a snapshot method for sharing illegal parking events of vehicles according to an embodiment of the present disclosure;
2(a) -2 (e) are scene diagrams of illegal parking of a common shared vehicle in the embodiment of the present application;
3(a) -3 (c) are schematic diagrams illustrating the detection results of the shared vehicle in the embodiment of the present application;
FIG. 4 is an overall flowchart of a snapshot of a shared vehicle illegal parking event provided by an embodiment of the present application;
fig. 5 is a schematic structural diagram of a shared vehicle illegal parking event snapshot system according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of another shared vehicle illegal parking event snapshot system according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
Referring to fig. 1, an embodiment of the present application provides a shared vehicle illegal parking event snapshot method, which may be used for a camera or the like with an identification function, and the method may include the following steps:
s101, detecting a shared vehicle in a monitoring image and the position of the shared vehicle;
among them, shared vehicles such as shared bicycles, shared electric vehicles, shared automobiles, and the like. The location of the shared vehicle may be the coordinates of the shared vehicle in the monitored image.
S102, when the shared vehicle is determined to stop, judging whether the shared vehicle stops illegally according to the position of the stopped shared vehicle and a preset violation condition;
s103, when the shared vehicle is determined to be illegally parked, capturing the shared vehicle, and taking the captured images with the set number as evidence obtaining images of the shared vehicle illegally parked.
In some embodiments, the snapshotting forensic may snapshoot at least three forensic images, which may include: the method comprises the following steps of panoramic images (capable of directly displaying illegal parking of a shared vehicle), shared vehicle images (such as images containing information characteristics of manufacturers to which the shared vehicle belongs), and shared vehicle region-of-interest images (such as images containing the vehicle number or two-dimensional code of the shared vehicle).
In a possible implementation manner, the method further may include:
and detecting the illegal parking type of the shared vehicle according to the position of the parked shared vehicle and a preset illegal condition.
Wherein the shared vehicle illegal parking type may comprise at least one of:
shared vehicles are used for rolling blind roads;
the shared vehicle is parked in the green belt;
the shared vehicle is parked on the sidewalk;
sharing vehicle congestion subway entrance/bus station/school entrance/window unit entrance.
Wherein, the window unit generally refers to an economic and social management and public service organization which executes the business closely related to the social and public and directly shows the image of the organization. For example: banks, hospitals, etc.
It should be noted that the violation conditions described above may be adjusted according to the current violation parking management regulations of the shared vehicle, and the violation conditions are configurable.
Referring to fig. 2(a) -2 (e), fig. 2(a) -2 (e) show scene diagrams of common illegal parking of shared vehicles, fig. 2(a) shows a blind road for the shared vehicles, fig. 2(b) shows a congested subway entrance for the shared vehicles, fig. 2(c) shows a congested bus stop for the shared vehicles, fig. 2(d) shows the shared vehicles parked on the sidewalk, and fig. 2(e) shows the shared vehicles parked in a green belt.
In a possible implementation manner, the detecting the shared vehicle and the position of the shared vehicle in the monitoring image in step S101 may include:
acquiring a monitoring image;
extracting a region of interest (ROI) in the monitored image;
and detecting all vehicles in the region of interest and the vehicle position of each vehicle, classifying the detected all vehicles, and determining a shared vehicle in the vehicles and the positions of the shared vehicles.
The vehicle and the position of the vehicle in the monitored image may be detected by using a multi-target detection method, which may be a deep learning method such as fast R-CNN, YOLO, SSD, etc., but the embodiment of the present application is not limited to the deep learning method.
The detected vehicles may be classified by using an image classification technique, which is an image processing technique for distinguishing objects from each other according to different features (e.g., color features, textures, shapes, spatial relationships, etc.) reflected in image information by the objects of different classes, or by using a deep learning method.
That is, in the above deep learning method, the detection network is used for object detection, that is, detecting the region of interest, and the classification network is used for object classification, and detecting the object type of the target region, that is, detecting whether the shared vehicle exists. In addition, the detection network and the classification network can be integrated into one network.
After the monitoring image is obtained, the monitoring image may be preprocessed and/or normalized, and then the subsequent processes are performed.
In one possible implementation manner, determining whether the shared vehicle is parked may include:
for each shared vehicle, determining the position of the shared vehicle in continuous M frames of monitoring images; wherein M is greater than 1;
judging whether the positions of the shared vehicles in the continuous M frames of monitoring images are consistent;
if yes, determining that the shared vehicle is parked;
if not, determining that the shared vehicle is not parked.
In a possible implementation manner, the determining the positions of the shared vehicles in the consecutive M monitoring images respectively may include:
determining the positions of the shared vehicle in the continuous M frames of monitoring images respectively by adopting a motion tracking algorithm;
determining the position of the shared vehicle in the nth frame of monitored image may include:
taking the position of the shared vehicle in the previous monitoring image of the Nth monitoring image as a candidate area of the shared vehicle in the Nth monitoring image; wherein the N frame of monitoring image belongs to the M continuous frames of monitoring images;
and determining the position of the shared vehicle in the monitoring image of the Nth frame based on the candidate area.
Of course, the positions of the shared vehicle in the consecutive M-frame monitoring images may also be determined without using a motion tracking algorithm, but the positions of the shared vehicle in each frame image of the consecutive M-frame monitoring images are detected, which is not limited in the embodiment of the present application.
In a possible implementation manner, the determining, in step S102, whether the shared vehicle is illegally parked according to the position of the parked shared vehicle and a preset violation condition may include:
judging whether the shared vehicle meets preset violation conditions or not according to the position of the parked shared vehicle;
if yes, determining that the shared vehicle is illegally parked;
if not, determining that the shared vehicle is normally parked.
For example, after the shared vehicles in the scene graphs of the shared vehicles illegally parked shown in fig. 2(a), fig. 2(d), and fig. 2(e) are detected by the scheme provided by the embodiment of the present application, the detection results are respectively shown in fig. 3(a), fig. 3(b), and fig. 3(c), the regions framed in the graphs are ROI regions, and the boxes in the graphs mark the shared vehicles illegally parked.
In one possible implementation, when it is determined that any one of the shared vehicles is illegally parked, the method may further include:
determining a confidence level of illegal parking of the shared vehicle;
and when the confidence coefficient is determined to be smaller than a preset threshold value, determining that the judgment result of the illegal parking is unreasonable, and rejecting the judgment result of the illegal parking.
In one possible implementation, upon determining that no shared vehicle is illegally parked, the method further may include:
notifying maintenance personnel whether violation conditions are increased or not;
when an instruction for increasing the violation condition is received, configuring a newly-increased violation condition;
and judging whether the shared vehicle is illegally parked again according to the currently configured illegal condition.
That is to say, for a scene in which the illegal parking cannot be detected, the method can detect again by increasing the judgment standard of the illegal parking, so as to improve the detection accuracy.
In a possible implementation manner, the method may further include:
obtaining information of illegally parked shared vehicles and a vehicle maintenance party;
and sending the information of the shared vehicle to a vehicle maintenance party of the shared vehicle.
Wherein the sharing of the information of the vehicle may include: sharing images of vehicles in illegal parking, sharing vehicle numbers or two-dimensional codes of the vehicles and sharing positions of the vehicles in illegal parking.
In the embodiment of the application, several photos (for example, 3 photos) can be taken as field evidence for illegally parked shared vehicles.
The following describes an overall process of sharing vehicle illegal parking detection in the embodiment of the present application with reference to fig. 4:
s201, acquiring a monitoring image and preprocessing the monitoring image;
s202, extracting an ROI in the monitored image;
s203, detecting all vehicles in the ROI and the vehicle position of each vehicle;
s204, classifying all the detected vehicles, and determining shared vehicles in the vehicles and the positions of the shared vehicles;
s205, aiming at each shared vehicle, determining the positions of the shared vehicle in continuous M frames of monitoring images by adopting a motion tracking algorithm; wherein M is greater than 1;
s206, judging whether the positions of the shared vehicles in the continuous M frames of monitoring images are consistent; if yes, go to step S207, otherwise go to step S208;
s207, determining that the shared vehicle stops;
s208, determining that the shared vehicle does not stop;
wherein, after determining that the shared vehicle has parked, the step S209 is continuously executed.
S209, judging whether the shared vehicle meets preset violation conditions or not according to the position of the parked shared vehicle; if not, executing steps S210 and S211, if yes, executing steps S212 and S213;
s210, determining that the shared vehicle is parked normally, and informing maintenance personnel whether violation conditions are increased or not;
s211, when an instruction for increasing the violation conditions is received, newly increased violation conditions are configured, and whether the shared vehicle is illegally parked is judged again according to the currently configured violation conditions;
s212, determining illegal parking of the shared vehicle, and determining the confidence coefficient and the type of the illegal parking of the shared vehicle;
wherein, when the shared vehicle is determined to be illegally parked, the step S213 is continuously performed.
S213, judging whether the confidence coefficient is smaller than a preset threshold value; if yes, go to step S214, if no, go to step S215;
s214, determining that the judgment result of the illegal parking is unreasonable, and rejecting the judgment result of the illegal parking;
s215, determining that the illegal parking judgment result is reasonable, capturing the illegal parking shared vehicles, taking the captured images with the set number as evidence obtaining images of the illegal parking shared vehicles, and obtaining information of the illegal parking shared vehicles and a vehicle maintenance party;
wherein the sharing of the information of the vehicle may include: sharing images of vehicles in illegal parking, sharing vehicle numbers or two-dimensional codes of the vehicles and sharing positions of the vehicles in illegal parking.
And S216, sending the information of the illegally parked shared vehicle to a vehicle maintenance party of the shared vehicle.
Based on the same inventive concept, referring to fig. 5, an exemplary shared vehicle illegal parking event snapshot system provided in this application may include: the system comprises a detection classification module 11, an illegal parking detection module 12 and a snapshot module 13.
The detection classification module 11 is used for detecting shared vehicles in the monitoring images and the positions of the shared vehicles;
the parking violation detection module 12 is configured to, when it is determined that the shared vehicle has parked, determine whether the shared vehicle is parked in violation according to the position of the parked shared vehicle and a preset violation condition;
and the snapshot module 13 is configured to snapshot the shared vehicle when it is determined that the shared vehicle is illegally parked, and use a set number of snapshot images as forensics images of the shared vehicle illegally parked.
In one possible implementation, the violation detection module 12 may be configured to:
judging whether the shared vehicle meets preset violation conditions or not according to the position of the parked shared vehicle;
if yes, determining that the shared vehicle is illegally parked;
if not, determining that the shared vehicle is normally parked.
In a possible implementation, the violation detection module 12 is further configured to:
and detecting the illegal parking type of the shared vehicle according to the position of the parked shared vehicle and a preset illegal condition.
Wherein the shared vehicle illegal parking type comprises at least one of:
shared vehicles are used for rolling blind roads;
the shared vehicle is parked in the green belt;
the shared vehicle is parked on the sidewalk;
sharing a subway entrance/bus stop/school entrance/window unit entrance of vehicle congestion;
the shared vehicle occupies a motor vehicle parking space.
In a possible implementation, the detection classification module 11 may be configured to:
acquiring a monitoring image;
extracting a region of interest in the monitoring image;
and detecting all vehicles in the region of interest and the vehicle position of each vehicle, classifying the detected all vehicles, and determining a shared vehicle in the vehicles and the positions of the shared vehicles.
In one possible implementation, the violation detection module 12 may be configured to:
for each shared vehicle, determining the position of the shared vehicle in continuous M frames of monitoring images; wherein M is greater than 1;
judging whether the positions of the shared vehicles in the continuous M frames of monitoring images are consistent;
if yes, determining that the shared vehicle is parked;
if not, determining that the shared vehicle is not parked.
In one possible implementation, the violation detection module 12 may be configured to:
determining the positions of the shared vehicle in the continuous M frames of monitoring images respectively by adopting a motion tracking algorithm;
wherein, determining the position of the shared vehicle in the nth frame of monitoring image may include:
taking the position of the shared vehicle in the previous monitoring image of the Nth monitoring image as a candidate area of the shared vehicle in the Nth monitoring image; wherein the N frame of monitoring image belongs to the M continuous frames of monitoring images;
and determining the position of the shared vehicle in the monitoring image of the Nth frame based on the candidate area.
In a possible implementation, referring to fig. 6, the system may further include: a post-processing module 14;
the violation detection module 12 may also be configured to: when any one shared vehicle is determined to be illegally parked, determining the confidence coefficient of the illegal parking of the shared vehicle;
the post-processing module 14 may be configured to: and when the confidence coefficient is determined to be smaller than a preset threshold value, determining that the judgment result of the illegal parking is unreasonable, and rejecting the judgment result of the illegal parking.
In one possible implementation, referring to fig. 6, the post-processing module 14 may be configured to:
when it is determined that no shared vehicle is illegally parked, notifying maintenance personnel whether an illegal condition is increased;
when an instruction for increasing the violation condition is received, configuring a newly-increased violation condition;
the violation detection module 12 may further be configured to:
and judging whether the shared vehicle is illegally parked again according to the currently configured illegal condition.
In one possible implementation, referring to fig. 6, the post-processing module 14 may be configured to: the method comprises the steps of obtaining information of a shared vehicle illegally parked and a vehicle maintenance party, and sending the information of the shared vehicle to the vehicle maintenance party of the shared vehicle.
It is noted that the post-processing module 14 may perform either or both of the determination of the plausibility of the determination result of the illegal parking and the transmission of the information of the illegally parked shared vehicle to the vehicle maintenance side.
The implementation process of the functions and actions of each unit in the system is specifically described in the implementation process of the corresponding step in the method, and is not described herein again.
For the system embodiment, since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment for relevant points. The above-described system embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
Based on the same inventive concept, the embodiment of the present application further provides a storage medium, on which a computer program is stored, and the program, when executed by a processor, implements the steps of the method for detecting illegal parking of a shared vehicle in any of the above-mentioned possible implementations.
Alternatively, the storage medium may be specifically a memory.
Embodiments of the subject matter and the functional operations described in this specification can be implemented in: tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or a combination of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions, encoded on a tangible, non-transitory program carrier for execution by, or to control the operation of, data processing apparatus. Alternatively or additionally, the program instructions may be encoded on an artificially generated propagated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode and transmit information to suitable receiver apparatus for execution by the data processing apparatus. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.
The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit).
Computers suitable for executing computer programs include, for example, general and/or special purpose microprocessors, or any other type of central processing unit. Generally, a central processing unit will receive instructions and data from a read-only memory and/or a random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks. However, a computer does not necessarily have such a device. Moreover, a computer may be embedded in another device, e.g., a mobile telephone, a Personal Digital Assistant (PDA), a mobile audio or video player, a game console, a Global Positioning System (GPS) receiver, or a portable storage device such as a Universal Serial Bus (USB) flash drive, to name a few.
Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including by way of example semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., an internal hard disk or a removable disk), magneto-optical disks, and CD ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
While this specification contains many specific implementation details, these should not be construed as limitations on the scope of any invention or of what may be claimed, but rather as descriptions of features specific to particular embodiments of particular inventions. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. In other instances, features described in connection with one embodiment may be implemented as discrete components or in any suitable subcombination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.
Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous. Moreover, the separation of various system modules and components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
Thus, particular embodiments of the subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. Further, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some implementations, multitasking and parallel processing may be advantageous.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (15)
1. A method for capturing illegal parking events of shared vehicles, which is characterized by comprising the following steps:
detecting a shared vehicle and the position of the shared vehicle in a monitoring image;
when the shared vehicle is determined to stop, judging whether the shared vehicle stops illegally according to the position of the stopped shared vehicle and a preset violation condition;
and when the shared vehicle is determined to be parked illegally, capturing the shared vehicle, and taking the captured images with the set number as the evidence-obtaining images of the shared vehicle parked illegally.
2. The method according to claim 1, wherein the determining whether the shared vehicle is illegally parked according to the position of the parked shared vehicle and a preset violation condition comprises:
judging whether the shared vehicle meets preset violation conditions or not according to the position of the parked shared vehicle;
if yes, determining that the shared vehicle is illegally parked;
if not, determining that the shared vehicle is normally parked.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
detecting the illegal parking type of the shared vehicle according to the position of the parked shared vehicle and a preset illegal condition;
the shared vehicle illegal parking type comprises at least one of:
shared vehicles are used for rolling blind roads;
the shared vehicle is parked in the green belt;
the shared vehicle is parked on the sidewalk;
sharing vehicle congestion subway entrance/bus station/school entrance/window unit entrance.
4. The method of claim 1, wherein the detecting a shared vehicle and a location of the shared vehicle in the monitored image comprises:
acquiring a monitoring image;
extracting a region of interest in the monitoring image;
and detecting all vehicles in the region of interest and the vehicle position of each vehicle, classifying the detected all vehicles, and determining a shared vehicle in the vehicles and the positions of the shared vehicles.
5. The method of claim 1, wherein determining whether the shared vehicle is parked comprises:
for each shared vehicle, determining the position of the shared vehicle in continuous M frames of monitoring images; wherein M is greater than 1;
judging whether the positions of the shared vehicles in the continuous M frames of monitoring images are consistent;
if yes, determining that the shared vehicle is parked;
if not, determining that the shared vehicle is not parked.
6. The method of claim 5, wherein determining the position of the shared vehicle in each of the successive M frames of monitored images comprises:
determining the positions of the shared vehicle in the continuous M frames of monitoring images respectively by adopting a motion tracking algorithm;
determining the position of the shared vehicle in the Nth frame of monitoring image, comprising:
taking the position of the shared vehicle in the previous monitoring image of the Nth monitoring image as a candidate area of the shared vehicle in the Nth monitoring image; wherein the N frame of monitoring image belongs to the M continuous frames of monitoring images;
and determining the position of the shared vehicle in the monitoring image of the Nth frame based on the candidate area.
7. The method of claim 1, wherein upon determining that any one of the shared vehicles is illegally parked, the method further comprises:
determining a confidence level of illegal parking of the shared vehicle;
when the confidence coefficient is determined to be smaller than a preset threshold value, determining that the judgment result of the illegal parking is unreasonable, and rejecting the judgment result of the illegal parking;
upon determining that no shared vehicle is illegally parked, the method further comprises:
notifying maintenance personnel whether violation conditions are increased or not;
when an instruction for increasing the violation condition is received, configuring a newly-increased violation condition;
and judging whether the shared vehicle is illegally parked again according to the currently configured illegal condition.
8. The method of claim 1, further comprising:
obtaining information of illegally parked shared vehicles and a vehicle maintenance party;
and sending the information of the shared vehicle to a vehicle maintenance party of the shared vehicle.
9. A shared vehicle illegal parking event snapshot system, the system comprising:
the detection classification module is used for detecting shared vehicles in the monitoring images and the positions of the shared vehicles;
the parking violation detection module is used for judging whether the shared vehicle is parked in violation or not according to the position of the parked shared vehicle and preset violation conditions when the shared vehicle is determined to be parked;
and the snapshot module is used for snapshot of the shared vehicle when the shared vehicle is determined to be illegally parked, and taking the snapshot of a set number of images as evidence-obtaining images of the shared vehicle illegally parked.
10. The system of claim 9, wherein the violation detection module is configured to:
judging whether the shared vehicle meets preset violation conditions or not according to the position of the parked shared vehicle;
if yes, determining that the shared vehicle is illegally parked;
if not, determining that the shared vehicle is normally parked.
11. The system of claim 9 or 10, wherein the violation detection module is further configured to:
detecting the illegal parking type of the shared vehicle according to the position of the parked shared vehicle and a preset illegal condition;
the shared vehicle illegal parking type comprises at least one of:
shared vehicles are used for rolling blind roads;
the shared vehicle is parked in the green belt;
the shared vehicle is parked on the sidewalk;
sharing a subway entrance/bus stop/school entrance/window unit entrance of vehicle congestion;
the shared vehicle occupies a motor vehicle parking space.
12. The system of claim 9, wherein the detection classification module is configured to:
acquiring a monitoring image;
extracting a region of interest in the monitoring image;
and detecting all vehicles in the region of interest and the vehicle position of each vehicle, classifying the detected all vehicles, and determining a shared vehicle in the vehicles and the positions of the shared vehicles.
13. The system of claim 9, further comprising: a post-processing module;
the violation detection module is further to:
when any one shared vehicle is determined to be illegally parked, determining the confidence coefficient of the illegal parking of the shared vehicle;
the post-processing module is configured to:
when the confidence coefficient is determined to be smaller than a preset threshold value, determining that the judgment result of the illegal parking is unreasonable, and rejecting the judgment result of the illegal parking;
and notifying maintenance personnel whether violation conditions are increased or not when it is determined that no shared vehicle is illegally parked;
when an instruction for increasing the violation condition is received, configuring a newly-increased violation condition;
the violation detection module is further to:
and judging whether the shared vehicle is illegally parked again according to the currently configured illegal condition.
14. The system of claim 9, further comprising: a post-processing module;
the post-processing module is configured to: the method comprises the steps of obtaining information of a shared vehicle illegally parked and a vehicle maintenance party, and sending the information of the shared vehicle to the vehicle maintenance party of the shared vehicle.
15. A storage medium having a computer program stored thereon, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
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