CN112419733A - Method, device, equipment and storage medium for detecting irregular parking of user - Google Patents
Method, device, equipment and storage medium for detecting irregular parking of user Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for detecting irregular parking of a user, wherein the method comprises the following steps: acquiring an image about a parking area shot by a camera; identifying a first detection frame where the target vehicle which is not normally parked is located and a second detection frame containing people from the image; and determining a person in charge who is out of specification for parking based on the position relation of the first detection frame and the second detection frame in the image. According to the invention, the image of the parking area shot by the camera is obtained, the first detection frame of the target vehicle which is not normally parked and the second detection frame containing personnel are identified from the image, the position relation between the two detection frames is utilized to carry out the relation between the non-standard parking and the user, and the person responsible for the non-standard parking is determined, so that data support is provided for the treatment of the non-standard parking, the punishment or the limitation measure of the related person responsible for the operation and maintenance is facilitated, and the purpose of improving the management effect of the non-standard parking is achieved.
Description
Technical Field
The invention relates to the technical field of machine vision, in particular to a method, a device, equipment and a storage medium for detecting irregular parking of a user.
Background
The shared vehicles comprise shared automobiles, shared bicycles, shared mopeds and the like. At present, shared vehicles are generally divided into two parking modes, namely parking immediately after use and parking with a fixed parking pile. Although the stop-and-go mode can greatly facilitate the traveling of the user, the user can use the stop-and-go mode at any time and park the stop-and-go mode anywhere, the stop-and-go mode often causes the phenomenon that the vehicle stops in disorder, and the appearance of the city is seriously influenced. At present, a shared vehicle, especially a shared bicycle, usually defines a public parking area, in which a user can park at any time, and a parking pile is not fixed, so that the parking mode is relatively flexible. However, the phenomena of disordered parking, inclined parking, irregular parking or irregular parking when the vehicle falls down on the ground can be avoided at all, which not only influences the appearance of the city, but also prevents other people from parking orderly. The inventor thinks that although there are many schemes for detecting the irregular parking behavior of the shared vehicle, if the irregular parking behavior cannot be associated with the corresponding responsible person, the responsible person is subjected to credit penalties through a corresponding sharing single vehicle credit allocation mechanism, and the user is limited to use the vehicle after the user parks the shared vehicle for a plurality of times in an irregular manner, the awareness of the user for parking the shared vehicle is difficult to be fundamentally improved, and the occurrence of the phenomenon is reduced from the source. There is no technical solution disclosed to determine the person responsible for the irregular parking.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the present invention is that the existing detection of the irregular parking behavior does not determine the person responsible for the irregular parking, so that the treatment effect of the irregular parking is not obvious.
In order to achieve the above object, the present invention provides a method for detecting a user irregular parking, which is applied to a server, and is pre-divided into parking areas for parking vehicles, wherein the parking areas are correspondingly provided with at least one camera for collecting images in the parking areas, and the method includes: acquiring an image about a parking area shot by the camera; identifying a first detection frame where a target vehicle which is not normally parked is located and a second detection frame containing people from the image; and determining a person in charge who does not normally park based on the position relation of the first detection frame and the second detection frame in the image.
In a preferred embodiment of the present invention, the identifying, from the image, a first detection frame in which an unnormally parked target vehicle is located includes: detecting a detection frame for parking the vehicle from the image; judging whether the coordinates of the detection frame for parking the vehicle are within a preset range, wherein the preset range is a region of parking point positions defined in the parking region; and when the coordinates are not in the preset range, determining that the parked vehicle is a target vehicle which is not parked in a standard way, and taking the detection frame of the parked vehicle as the first detection frame.
In a preferred embodiment of the present invention, the method further comprises: judging whether the head of the parked vehicle accords with the preset head orientation of the parking area; and when the direction of the vehicle head is not in line with the preset direction of the vehicle head in the parking area, determining that the parked vehicle is a target vehicle which is not parked in a standard mode, and taking the detection frame of the parked vehicle as the first detection frame.
In a preferred embodiment of the present invention, the detecting frame for detecting a parked vehicle from the image includes: inputting the image into a target detection model obtained by pre-training to obtain an initial detection frame output by the target monitoring model; and filtering the initial detection frames by utilizing the intersection ratio and the distance between the initial detection frames, and removing repeated initial detection frames to obtain the detection frames for parking the vehicles.
In a preferred embodiment of the present invention, the determining a person in charge who is not parking regularly based on the position relationship between the first detection frame and the second detection frame in the image includes: calculating the distance between the center point of the second detection frame and the center point of the first detection frame; judging whether the distance is smaller than or equal to a preset distance threshold value or not; and when a second detection frame with the distance less than or equal to the preset distance threshold exists, determining the person in the second detection frame with the minimum distance from the central point of the first detection frame in the second detection frame as a suspected person in charge of stopping the vehicle irregularly.
In a preferred embodiment of the present invention, the method further comprises: judging whether a face detection result exists in a second detection frame corresponding to the suspected person of blame; and when a face detection result exists in the second detection frame corresponding to the suspected person, extracting a face picture from the second detection frame corresponding to the suspected person.
In a preferred embodiment of the present invention, when there is no face detection result in the second detection frame corresponding to the suspected person of interest, an image including the second detection frame corresponding to the suspected person of interest is saved; and when a face detection result exists in the second detection frame corresponding to the suspected person, storing the first detection frame, the second detection frame corresponding to the suspected person and the extracted face picture.
In a preferred embodiment of the present invention, the determining the person in charge who is not parking regularly based on the position relationship between the first detection frame and the second detection frame in the image includes: judging whether N images in the M images detect a vehicle which does not normally park at the same position of the target vehicle, and judging whether P images in the M images detect a suspected person of responsibility corresponding to the vehicle which does not normally park, wherein M, N and P are natural numbers larger than 1, M is larger than N, and M is larger than P; and when N images in the M images detect a vehicle which is not normally parked at the same position of the target vehicle, and P images in the M images detect a suspected person of responsibility corresponding to the vehicle which is not normally parked, determining the suspected person of responsibility as a person of responsibility which is not normally parked.
In order to achieve the above object, the present invention provides a device for detecting a user irregular parking, which is applied to a server, and is pre-divided into parking areas for parking vehicles, wherein the parking areas are correspondingly provided with at least one camera for collecting images in the parking areas, and the device comprises:
the acquisition module is used for acquiring images of the parking area shot by the camera;
the detection module is used for identifying a first detection frame where the target vehicle which is not normally parked is located and a second detection frame containing people from the image;
and the determining module is used for determining a person in charge who parks in an irregular mode based on the position relation of the first detection frame and the second detection frame in the image.
To achieve the above object, the present invention provides a computer device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to perform the method for detecting a user irregular parking.
To achieve the above object, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the method for detecting a user irregular parking.
The device or the method provided by the invention has the following technical effects:
1. through obtaining the image about the parking area that the camera was shot, the first detection frame of the target vehicle who discerns out the nonstandard parking from this image detects the frame with the second that contains personnel, utilizes the position relation between two kinds of detection frames to carry out the relation with the user with the nonstandard parking, determines the person of blazing of the nonstandard parking to for the treatment that the nonstandard parking provides data support, make things convenient for fortune dimension to carry out the punishment or the restriction measure of relevant person of blazing, reach the purpose that improves the management effect of the nonstandard parking.
2. The parking area is divided into parking points, whether the parked vehicle is in the preset range of the parking points or not is judged, and when the parked vehicle is not in the preset range, the vehicle is determined to be parked in an irregular mode. Whether the vehicle is normally parked or not is judged according to the region of the parking point, the difficulty of recognizing image information by machine vision can be reduced, and meanwhile, the accuracy of non-standard parking recognition is improved.
3. The vehicle head is used as a judgment basis for standard parking, so that the characteristics of the vehicle head during parking are fully realized, and the accuracy of nonstandard vehicle detection is improved.
4. And filtering repeated detection frames by utilizing the intersection ratio and the central point distance between the detection frames in a DIoU-NMS mode, and obtaining a final detection result. In conventional NMS, the IoU criterion is often used to suppress redundant detection boxes (boxes), where overlapping areas are the only factor, often resulting in false suppression for occlusion cases. The DIoU-NMS uses DIoU as the criteria of the NMS because not only the overlapping region but also the center point distance between two boxes should be considered in the inhibition criteria, and the DIoU considers both the overlapping region and the center distance of two boxes, thereby improving the filtering accuracy.
5. The distance between the first detection frame and the second detection frame is used for determining the position relation between the first detection frame and the second detection frame and determining the person responsible or suspected person responsible, so that the operation speed can be increased, the response time can be shortened, and the load of an operation chip can be reduced under the condition of not reducing the accuracy.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of a method for detecting a user irregular parking of a vehicle according to the present invention;
FIG. 2 is a diagram of a preferred embodiment of the detection results of the present invention;
FIG. 3 is a schematic view of a preferred embodiment of the detection device for detecting a user's irregular parking according to the present invention;
FIG. 4 is a schematic block diagram of one embodiment of a computer apparatus 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 drawings only show the components related to the present invention rather than 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.
Some exemplary embodiments of the invention have been described for illustrative purposes, and it is to be understood that the invention may be practiced otherwise than as specifically described.
The embodiment of the invention provides a method for detecting the irregular parking of a user, which is applied to a server, is executed by the server and carries out subsequent processing based on image data acquired by a front-end camera. In the embodiment of the invention, a parking area for parking vehicles is pre-divided, and at least one camera is correspondingly arranged in the parking area and used for collecting images in the parking area. In the embodiment of the invention, the parking area is a specified vehicle parking place, a plurality of parking areas in different positions can be arranged in the same city, and a plurality of parking areas can be arranged in a dense place or in an area range. The user can rent the vehicle in the parking area, and then the vehicle rented for use elsewhere can be returned in the parking area and parked. The parking area may also be provided with parking positions for individual vehicles, for example, a plurality of parking spots are divided in the parking area, and each parking spot is used for parking one vehicle. The vehicle according to the embodiment of the present invention may be a shared automobile, a shared bicycle, or a shared moped. For convenience of description, the embodiments of the present invention are collectively referred to as a vehicle.
In order to realize the detection of the parking of the vehicle, at least one camera is erected in each parking area and used for shooting and collecting images of the corresponding parking areas. Each camera is in communication connection with the server and used for transmitting the acquired image data or video data back to the server, and the cameras can be network cameras. In the embodiment of the invention, a target detection model, such as yolov4 target detection network, can be obtained after the processes of data acquisition, data cleaning, data labeling and model training are carried out on the data shot by the camera. In other words, in the embodiment of the present invention, a large amount of image data captured by a camera may be used as a sample in advance, a corresponding model is constructed by using a deep learning technique and a machine vision technique, and training and learning are performed to obtain a target detection model that can be used for target detection. The target detection model can be used for detecting targets such as various brands of bicycles, mopeds, pedestrians, riders and human faces in the parking area, and can detect the head orientations (up, down, left and right) of the various brands of bicycles and mopeds in the image, and on the basis, recognition of vehicles and people is carried out.
The method for detecting the irregular parking of the user in the embodiment of the invention is mainly used for detecting the vehicle which is not in the regular parking and the corresponding responsible person, and correlating the vehicle and the responsible person to determine the responsible person who is in the irregular parking so as to take corresponding punishment or limitation measures for the responsible person and achieve the purpose of reminding the user of the regular parking.
As shown in fig. 1, the method for detecting that a user does not specify parking in the embodiment of the present invention includes:
and step S101, acquiring an image about the parking area shot by the camera.
The camera can shoot the image of the parking area at regular time according to a time period, and as the video data is also composed of one frame of image, in the embodiment of the invention, the camera can also shoot the video data, that is, the image of the parking area can be a multi-frame image set. For example, the camera transmits the acquired images to the server every 1s, and the server receives the images for subsequent processing and judgment.
And step S102, identifying a first detection frame where the target vehicle which is not normally parked is located and a second detection frame containing people from the image.
In the embodiment of the invention, the target vehicle detection can be directly carried out from the image, and the target vehicle is also a vehicle which is not normally parked, so that the first detection frame where the target vehicle is located is determined. Meanwhile, image recognition is directly performed to recognize the second detection frame containing the person. That is, after an image about a parking area is acquired, a vehicle (target vehicle) that does not normally park and a person in the image are identified from the image, a first detection frame indicates a position of the target vehicle in the image, and a second detection frame indicates a position of the person in the image.
Alternatively, in the embodiment of the present invention, the server may perform target detection by using the above-mentioned target detection model (e.g., yolov4 target detection model), take the obtained image as an input of the target detection model, and output all detection frames of each brand of bicycle, each brand of moped, pedestrian, and rider after passing through the target detection model, where a specific format of each detection result is [ abscissa of target center point in the image, ordinate of target center point in the image, width of target, height of target, confidence of target, and specific category of target ], and a final obtained visual effect is as shown in fig. 2.
And detecting a detection frame of each vehicle by using the target detection model, and judging whether the vehicle is normally parked or not to serve as a first detection frame. Then the detection frame of the person is directly used as a second detection frame.
And step S103, determining a person in charge who is not parking normally based on the position relation of the first detection frame and the second detection frame in the image.
In the embodiment of the invention, after the first detection frame and the second detection frame are detected, the position relationship between the first detection frame and the second detection frame can be used for determining the person responsible for irregular parking. The inventor finds that when acquiring images of a parking area, a user using a vehicle can generally capture an associated image between the user and the vehicle during parking. One of the main features of the related image is that the position relationship between the user and the vehicle is relatively close. Based on this feature, in the embodiment of the present invention, when the first detection frame and the second detection frame containing the person are detected, which do not specify the target amount of the parked vehicle, it is possible to determine whether the person is a user who does not specify parking, by the positional relationship between the first detection frame and the second detection frame.
Specifically, the determination may be made using the IoU index between the first detection box and the second detection box. Where IoU are all referred to as Intersection over Union, IoU calculates the ratio of the Intersection and Union of the "predicted bounding box" and the "true bounding box". The embodiment of the invention borrows the calculation mode, and performs corresponding adjustment to calculate the ratio of the intersection and the union between the first detection frame and the second detection frame. The value range of IoU is 0-1, and when the value of IoU is larger, the larger the overlapping area of the first detection frame and the second detection frame is, the closer the positions are; otherwise the farther away the position. Optionally, in the embodiment of the present invention, the distance between the center points of the first detection frame and the second detection frame may be directly used to determine the position relationship between the first detection frame and the second detection frame, so as to determine the person responsible for irregular parking.
In the embodiment of the invention, the person in the second detection frame with the closest position can be used as a user for using and parking the target vehicle in the first detection frame, namely a person responsible for irregular parking; the person may also be responsible. In the embodiment of the invention, the person in the second detection frame with the closest position can be used as a suspected person of responsibility, then the suspected person of responsibility is subjected to multiple detections of multiple images, and if the multiple detections meet the same condition, the person of responsibility is determined; or, the auxiliary judgment is performed by combining some behavior detection of the user, for example, the position relationship between the hand of the user and the vehicle is detected, or the operation action between the hand and the vehicle is detected, and then the person is determined as the responsible person, so as to improve the accuracy of the detection judgment.
According to the embodiment of the invention, the image of the parking area shot by the camera is obtained, the first detection frame of the target vehicle which is not normally parked and the second detection frame containing personnel are identified from the image, the position relation between the two detection frames is utilized to carry out the relation between the non-normal parking and the user, and the person responsible for the non-normal parking is determined, so that data support is provided for the treatment of the non-normal parking, the operation and maintenance are convenient to carry out punishment or restriction measures of the relevant person responsible, and the purpose of improving the management effect of the non-normal parking is achieved.
It should be noted that although there may be technical means for performing object detection in the prior art, a main inventive point of the present invention is that the first detection frame and the second detection frame do not specify the association between the parking and the user, thereby providing data support for the vehicle parking management.
As an optional implementation manner, in step S102, the step of identifying, from the image, the first detection frame where the target vehicle that is not normally parked is located includes: detecting a detection frame for parking the vehicle from the image; judging whether the coordinates of the detection frame for parking the vehicle are within a preset range, wherein the preset range is a region of parking point positions defined in the parking region; and when the coordinates are not in the preset range, determining that the parked vehicle is a target vehicle which is not parked in a standard way, and taking the detection frame of the parked vehicle as the first detection frame.
In the embodiment of the invention, parking points can be defined in each parking area, and each parking point is used for parking one vehicle. In the embodiment of the invention, the camera is used for shooting the image aiming at the parking area, so that the visual angle is fixed, and the range of the shot image is fixed. In this way, the position of each parking spot in the captured image is also a relatively fixed position, the range of each parking spot can be determined from the pixel coordinates in the image, and the pixel range of each parking spot is used as the preset range. After the detection frame for parking the vehicle is detected, it may be determined whether the detection frame is within a preset range. Because the preset range is multiple, the detection frame needs to be matched and judged with the preset range of each parking point, and the range of the parking point closest to the position can be preferentially selected for judgment, so that the data volume of matching processing is reduced.
When the coordinates of the detection frame are not within the preset range of any parking point, it can be determined that the vehicle is not parked according to the fixed parking point, and the phenomenon of irregular parking is caused. Otherwise, the vehicle parking is considered to be normative, or other subsequent judgments are made.
According to the embodiment of the invention, the parking point position is divided in the parking area, then whether the parked vehicle is in the preset range of the parking point position or not is judged, and when the parked vehicle is not in the preset range, the vehicle is determined to be parked in an irregular mode. Whether the vehicle is normally parked or not is judged according to the region of the parking point, the difficulty of recognizing image information by machine vision can be reduced, and meanwhile, the accuracy of non-standard parking recognition is improved.
As an alternative implementation manner, in the embodiment of the present invention, after the obtaining of the detection frame of the vehicle, the method further includes: judging whether the head of the parked vehicle accords with the preset head orientation of the parking area; and when the direction of the vehicle head is not in line with the preset direction of the vehicle head in the parking area, determining that the parked vehicle is a target vehicle which is not parked in a standard mode, and taking the detection frame of the parked vehicle as the first detection frame.
The inventor finds that the locomotive is a critical judgment part for nonstandard parking, has obvious different characteristics when the locomotive is in nonstandard parking and standard parking, can be identified in an image through the locomotive in a detection frame of a vehicle, and then judges whether the locomotive meets the preset locomotive orientation of a parking area; when the parking is not in accordance with the standard parking, determining that the vehicle is not in the standard parking; otherwise, it may be considered as normative, or a subsequent determination may be made.
In the embodiment of the invention, the vehicle head is used as the judgment basis for standard parking, so that the characteristics of the vehicle head during parking are fully realized, and the accuracy of detecting the non-standard vehicle is improved.
It should be noted that, in the above embodiments of the present invention, no matter the preset range of the parking point or the manner of determining the vehicle head are used, there is no technical conflict between the two, in the process of applying the solutions, the two solutions may be used together, or one of the two solutions may be selected to determine the vehicle that is not standardized, which is not limited in the present invention.
Optionally, in an embodiment of the present invention, the detecting frame for detecting a parked vehicle from the image includes: inputting the image into a target detection model obtained by pre-training to obtain an initial detection frame output by the target monitoring model; and filtering the initial detection frames by utilizing the intersection ratio and the distance between the initial detection frames, and removing repeated initial detection frames to obtain the detection frames for parking the vehicles.
In the embodiment of the invention, repeated detection frames can be filtered by utilizing the intersection ratio and the central point distance between the detection frames in a DIoU-NMS mode, and a final detection result is obtained. In conventional NMS, the IoU criterion is often used to suppress redundant detection boxes (boxes), where overlapping areas are the only factor, often resulting in false suppression for occlusion cases. The DIoU-NMS uses DIoU as the criteria of the NMS because not only the overlapping region but also the center point distance between two boxes should be considered in the inhibition criteria, and the DIoU considers both the overlapping region and the center distance of two boxes, thereby improving the filtering accuracy.
The inventor finds that the calculation process of the IoU index requires a large amount of calculation when the responsible person is judged, so that the calculation pressure is brought to the calculation chip in the server, and the response speed is relatively slow. Therefore, an invention as an embodiment of the present invention is that, by determining a position relationship between the first detection frame and the second detection frame by using a distance between the first detection frame and the second detection frame and determining a responsible person or a suspected responsible person, an operation speed can be increased, a response time can be reduced, and a load of an operation chip can be reduced without reducing an accuracy.
Specifically, in the embodiment of the present invention, the determining, based on the position relationship between the first detection frame and the second detection frame in the image, a person responsible for irregular parking includes: calculating the distance between the center point of the second detection frame and the center point of the first detection frame; judging whether the distance is smaller than or equal to a preset distance threshold value or not; and when a second detection frame with the distance less than or equal to the preset distance threshold exists, determining the person in the second detection frame with the minimum distance from the central point of the first detection frame in the second detection frame as a suspected person in charge of stopping the vehicle irregularly.
If the second detection frames of the personnel exist, for each nonstandard parking vehicle, firstly calculating the distance between all the second detection frames and the central point of the first detection frame of the nonstandard parking vehicle, if the calculated distance between all the central points is greater than a preset distance threshold value, continuously processing the next picture, and if the calculated distance between the central points is less than the preset distance threshold value, taking the first detection frame with the minimum distance between the first detection frame and the central point as a suspected person to be blamed for the nonstandard parking vehicle.
In the embodiment of the invention, the calculation of the distance between the central points is less complicated compared with the calculation of IoU, so that the response time can be improved and the load of the operation chip can be reduced without reducing the accuracy.
Further, after the person suspected to be responsible is determined, the embodiment of the present invention further includes: judging whether a face detection result exists in a second detection frame corresponding to the suspected person of blame; and when a face detection result exists in the second detection frame corresponding to the suspected person, extracting a face picture from the second detection frame corresponding to the suspected person. When the second detection frame corresponding to the suspected person of interest does not have a face detection result, storing an image containing the second detection frame corresponding to the suspected person of interest; and when a face detection result exists in the second detection frame corresponding to the suspected person, storing the first detection frame, the second detection frame corresponding to the suspected person and the extracted face picture.
In the embodiment of the present invention, it may be determined whether a face detection result exists in all the detection frames, and if so, it may also be determined whether the face detection result is in a suspected person-of-interest detection frame (i.e., a second detection frame determined as a suspected person-of-interest) that does not standardize parking, if the face detection frame is not in the suspected person-of-interest detection frame, the current image is directly saved, and if the face detection frame is in the suspected person-of-interest detection frame, a face image is extracted, and the detection frame results of all the unnormal parking vehicles and the unnormal parking person detected in the current frame and the current image are saved.
According to the embodiment of the invention, after the suspected person is determined, the face picture is detected and stored, so that the subsequent identity identification is facilitated, and the identity of the specific person is determined.
In the embodiment of the present invention, the number of the images is M, that is, when performing image recognition, a person responsible for irregular parking can be determined only after a plurality of images are recognized.
Specifically, the determining of the person in charge who is out of specification for parking based on the position relationship between the first detection frame and the second detection frame in the image includes: judging whether N images in the M images detect a vehicle which does not normally park at the same position of the target vehicle, and judging whether P images in the M images detect a suspected person of responsibility corresponding to the vehicle which does not normally park, wherein M, N and P are natural numbers larger than 1, M is larger than N, and M is larger than P; and when N images in the M images detect a vehicle which is not normally parked at the same position of the target vehicle, and P images in the M images detect a suspected person of responsibility corresponding to the vehicle which is not normally parked, determining the suspected person of responsibility as a person of responsibility which is not normally parked.
The M images can be continuous images, the judgment can be carried out one by one when the judgment of the irregular vehicle is carried out, and the second image is judged after the first image is judged. The specific judgment process may adopt the implementation manner described in the above embodiments of the present invention. Similarly, the determination of the person suspected to be responsible may be performed in accordance with the embodiments described in the above embodiments. When it is determined that N images of the M images detect a vehicle with irregular parking at the same position of the target vehicle and P images of the M images detect a suspected person of responsibility corresponding to the vehicle with irregular parking, the suspected person of responsibility can be completely determined as the person of responsibility for irregular parking in terms of frequency and statistical probability.
For example, considering that there is a case where a pedestrian may just pass through a non-standard parking vehicle, the detection results in five pictures corresponding to the next five seconds are taken to be judged as follows: (1) at least three of the next five pictures have detected an irregular parking vehicle at the same location as the first irregular parking vehicle. When the two conditions are met, the suspected person is determined as the person who is responsible for irregular parking, and the corresponding face information is stored in the related database after the corresponding pictures form the video.
In the embodiment of the invention, when the unregulated parking behavior of the shared bicycle of the user is detected, the video storage is carried out on the user behavior for unregulated parking, the face picture of the person responsible for the unregulated parking is extracted, and the person responsible for the unregulated parking is corresponded to the person responsible for the unregulated parking through a face recognition method in the follow-up process, so that the user for limiting the unregulated parking for many times is used as a bedding.
The embodiment of the invention also provides a device for detecting the irregular parking of the user, which is applied to a server and is divided into parking areas for parking vehicles in advance, wherein the parking areas are correspondingly provided with at least one camera for collecting images in the parking areas. The apparatus may be configured to perform the method according to the above embodiment, as shown in fig. 3, the apparatus includes:
an obtaining module 301, configured to obtain an image of the parking area captured by the camera.
A detection module 302, configured to identify, from the image, a first detection frame in which a target vehicle that is not normally parked is located and a second detection frame that contains a person.
A determining module 303, configured to determine a person in charge who is not parking regularly based on a position relationship between the first detection frame and the second detection frame in the image.
According to the embodiment of the invention, the image of the parking area shot by the camera is obtained, the first detection frame of the target vehicle which is not normally parked and the second detection frame containing personnel are identified from the image, the position relation between the two detection frames is utilized to carry out the relation between the non-normal parking and the user, and the person responsible for the non-normal parking is determined, so that data support is provided for the treatment of the non-normal parking, the operation and maintenance are convenient to carry out punishment or restriction measures of the relevant person responsible, and the purpose of improving the management effect of the non-normal parking is achieved.
For the detailed description of the above device, reference may be made to the above method embodiment, which is not described herein again.
In an embodiment of the present invention, a computer device is further provided, where the computer device may be the server in the above embodiment, and may also refer to an intelligent device installed or set on a vehicle, and an internal structure diagram of the computer device may be as shown in fig. 4. The computer device comprises a processor, a memory and a network interface which are connected through a system bus, and also comprises a display screen and an input device. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external computer device through a network connection. The computer program is executed by a processor to implement a vehicle control method, the computer device may further include a display screen and an input device, the display screen may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, a trackball or a touch pad provided on a housing of the computer device.
On the other hand, the computer device may not include a display screen and an input device, and those skilled in the art will understand that the structure shown in fig. 4 is only a block diagram of a part of the structure related to the present application, and does not constitute a limitation to the computer device to which the present application is applied, and a specific computer device may include more or less components than those shown in the figure, or combine some components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to perform the steps of:
acquiring an image about a parking area shot by the camera;
identifying a first detection frame where a target vehicle which is not normally parked is located and a second detection frame containing people from the image;
and determining a person in charge who does not normally park based on the position relation of the first detection frame and the second detection frame in the image.
In one embodiment, a readable storage medium is provided, the computer readable storage medium having stored thereon computer instructions for causing the computer to perform:
acquiring an image about a parking area shot by the camera;
identifying a first detection frame where a target vehicle which is not normally parked is located and a second detection frame containing people from the image;
and determining a person in charge who does not normally park based on the position relation of the first detection frame and the second detection frame in the image.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (11)
1. A detection method for irregular parking of a user is applied to a server, a parking area for parking a vehicle is pre-divided, at least one camera is correspondingly arranged in the parking area and used for collecting images in the parking area, and the method comprises the following steps:
acquiring an image about a parking area shot by the camera;
identifying a first detection frame where a target vehicle which is not normally parked is located and a second detection frame containing people from the image;
and determining a person in charge who does not normally park based on the position relation of the first detection frame and the second detection frame in the image.
2. The method for detecting irregular parking of a user according to claim 1, wherein the identifying a first detection frame in which the target vehicle is not regularly parked from the image comprises:
detecting a detection frame for parking the vehicle from the image;
judging whether the coordinates of the detection frame for parking the vehicle are within a preset range, wherein the preset range is a region of parking point positions defined in the parking region;
and when the coordinates are not in the preset range, determining that the parked vehicle is a target vehicle which is not parked in a standard way, and taking the detection frame of the parked vehicle as the first detection frame.
3. The method for detecting irregular parking of a user according to claim 2, further comprising:
judging whether the head of the parked vehicle accords with the preset head orientation of the parking area;
and when the direction of the vehicle head is not in line with the preset direction of the vehicle head in the parking area, determining that the parked vehicle is a target vehicle which is not parked in a standard mode, and taking the detection frame of the parked vehicle as the first detection frame.
4. The method for detecting irregular parking of a user according to claim 2 or 3, wherein said detecting a detection frame of a parked vehicle from said image comprises:
inputting the image into a target detection model obtained by pre-training to obtain an initial detection frame output by the target monitoring model;
and filtering the initial detection frames by utilizing the intersection ratio and the distance between the initial detection frames, and removing repeated initial detection frames to obtain the detection frames for parking the vehicles.
5. The method for detecting the irregular parking of the user according to claim 1, wherein the determining the person in charge of the irregular parking based on the position relationship between the first detection frame and the second detection frame in the image comprises:
calculating the distance between the center point of the second detection frame and the center point of the first detection frame;
judging whether the distance is smaller than or equal to a preset distance threshold value or not;
and when a second detection frame with the distance less than or equal to the preset distance threshold exists, determining the person in the second detection frame with the minimum distance from the central point of the first detection frame in the second detection frame as a suspected person in charge of stopping the vehicle irregularly.
6. The method for detecting irregular parking of a user according to claim 5, further comprising:
judging whether a face detection result exists in a second detection frame corresponding to the suspected person of blame;
and when a face detection result exists in the second detection frame corresponding to the suspected person, extracting a face picture from the second detection frame corresponding to the suspected person.
7. The method for detecting a user irregular parking according to claim 6,
when the second detection frame corresponding to the suspected person of interest does not have a face detection result, storing an image containing the second detection frame corresponding to the suspected person of interest;
and when a face detection result exists in the second detection frame corresponding to the suspected person, storing the first detection frame, the second detection frame corresponding to the suspected person and the extracted face picture.
8. The method as claimed in claim 1 or 4, wherein the number of the images is M, and the determining the person responsible for the irregular parking based on the position relationship between the first detection frame and the second detection frame in the image comprises:
judging whether N images in the M images detect a vehicle which does not normally park at the same position of the target vehicle, and judging whether P images in the M images detect a suspected person of responsibility corresponding to the vehicle which does not normally park, wherein M, N and P are natural numbers larger than 1, M is larger than N, and M is larger than P;
and when N images in the M images detect a vehicle which is not normally parked at the same position of the target vehicle, and P images in the M images detect a suspected person of responsibility corresponding to the vehicle which is not normally parked, determining the suspected person of responsibility as a person of responsibility which is not normally parked.
9. The utility model provides a detection device that user did not standardize and parks, its characterized in that is applied to the server, divides in advance and has the parking area that is used for parking the vehicle, the parking area corresponds sets up at least one camera for gather the image in this parking area, the device includes:
the acquisition module is used for acquiring images of the parking area shot by the camera;
the detection module is used for identifying a first detection frame where the target vehicle which is not normally parked is located and a second detection frame containing people from the image;
and the determining module is used for determining a person in charge who parks in an irregular mode based on the position relation of the first detection frame and the second detection frame in the image.
10. A computer device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to perform a method of detecting user irregular parking as claimed in any one of claims 1 to 8.
11. A computer-readable storage medium storing computer instructions for causing a computer to perform the method for detecting user irregular parking according to any one of claims 1 to 8.
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