Vehicle screen control method and device, equipment, storage medium and product

By collecting images on the camera in the vehicle, extracting hand areas, identifying gestures and converting coordinates, the technical problems of gesture control in the rear screen of the vehicle are solved, and efficient contactless interaction is achieved.

CN119902623APending Publication Date: 2025-04-29DONGFENG MOTOR GRP
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Patent Information

Application Number
CN202510002775.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-02
Publication Date
2025-04-29

AI Technical Summary

Technical Problem

The prior art is difficult to realize this interactive method in how to effectively control the rear screen of the vehicle through gestures.

Method used

The camera inside the vehicle collects image frames, extracts the hand area image, performs gesture recognition, obtains gesture categories, and converts the image coordinates of key points of the wrist to obtain screen coordinates, and then controls the vehicle screen.

Benefits of technology

The function of accurately controlling the rear screen of the vehicle through gestures is realized, improving the contactless interactive experience between the user and the vehicle system.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of data processing, and discloses a vehicle screen control method and device, equipment, a storage medium and a product. The method comprises the following steps: acquiring a plurality of image frames through a camera in a vehicle, extracting a hand region image from each image frame, performing gesture recognition on the hand region image to obtain a gesture type, performing coordinate conversion on image coordinates corresponding to wrist key points in the hand region image, and obtaining a gesture type; and obtaining a screen coordinate of the wrist key point on the vehicle screen, and performing screen control on the vehicle screen according to the screen coordinate and the gesture category. According to the method, gesture recognition is carried out on the hand region image to obtain an accurate gesture category, then coordinate conversion is carried out on the image coordinates corresponding to the wrist key points in the hand region image, the coordinates of the wrist key points are converted from the image coordinate system to the screen coordinate system, and the screen coordinates of the wrist key points on the vehicle screen are obtained. And effectively controlling the rear row screen of the vehicle according to the screen coordinate and the gesture category.
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Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a vehicle screen control method, device, equipment, storage medium and product. Background Art

[0002] The non-contact screen gesture control method is an interactive method based on computer vision and artificial intelligence technology. It aims to capture and identify the key points and gestures of the hand through the camera, convert them into digital signals, and recognize their intentions to achieve control of the rear screen of the vehicle. Therefore, how to effectively control the rear screen of the vehicle through gestures has become an urgent problem to be solved. Summary of the invention

[0003] The main purpose of this application is to provide a vehicle screen control method, device, equipment, storage medium and product, aiming to solve the technical problem of how to effectively control the rear screen of a vehicle through gestures.

[0004] To achieve the above object, the present application provides a vehicle screen control method, the vehicle screen control method comprising the following steps:

[0005] A plurality of image frames are collected by a camera inside the vehicle, and a hand region image is extracted from each image frame;

[0006] Performing gesture recognition on the hand area image to obtain a gesture category;

[0007] Performing coordinate transformation on the image coordinates corresponding to the wrist key point in the hand region image to obtain the screen coordinates of the wrist key point on the vehicle screen;

[0008] The vehicle screen is controlled according to the screen coordinates and the gesture category.

[0009] Optionally, the step of collecting a plurality of image frames through a camera inside the vehicle and extracting a hand area image from each image frame specifically includes:

[0010] A camera inside the vehicle is used to collect a number of image frames, and a hand detection model is used to perform hand detection on each image frame to obtain a hand area;

[0011] Determining a hand detection frame according to the hand area;

[0012] The hand region image is extracted from each image frame through the hand detection frame.

[0013] Optionally, the step of performing coordinate transformation on the image coordinates corresponding to the wrist key point in the hand region image to obtain the screen coordinates of the wrist key point on the vehicle screen specifically includes:

[0014] Extracting hand key points in the hand region image through a hand key point model, and selecting wrist key points from the hand key points;

[0015] Determine the image coordinates of the wrist key point in the hand area image;

[0016] The image coordinates are transformed to obtain the screen coordinates of the wrist key point on the vehicle screen.

[0017] Optionally, the step of performing coordinate conversion on the image coordinates to obtain the screen coordinates of the wrist key point on the vehicle screen specifically includes:

[0018] Determine the screen pixel width of the vehicle screen, and determine the side length corresponding to the hand area image;

[0019] Calculate a screen zoom factor according to the screen pixel width, the side length and the image zoom factor;

[0020] The screen coordinates of the wrist key point on the vehicle screen are determined according to the screen zoom factor and the image coordinates.

[0021] Optionally, the step of performing screen control on the vehicle screen according to the screen coordinates and the gesture category specifically includes:

[0022] Determining a cursor state of a cursor state machine and a gesture state of a gesture state machine according to the gesture category;

[0023] When the cursor state is an activated state and the gesture state is a detected state, screen control is performed on the vehicle screen according to the screen coordinates and the gesture category.

[0024] Optionally, the step of determining a cursor state of a cursor state machine and a gesture state of a gesture state machine according to the gesture category specifically includes:

[0025] Determine a hand identifier corresponding to the hand region image;

[0026] determining a cursor state of a cursor state machine according to the hand identifier and the gesture category;

[0027] A gesture state of a gesture state machine is determined according to the cursor state and the gesture category.

[0028] In addition, to achieve the above-mentioned purpose, the present application also provides a vehicle screen control device, the vehicle screen control device comprising:

[0029] An image acquisition module, used to acquire a number of image frames through a camera inside the vehicle, and extract a hand area image from each image frame;

[0030] A gesture recognition module, used to perform gesture recognition on the hand area image to obtain a gesture category;

[0031] A coordinate conversion module, used for performing coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen;

[0032] A screen control module is used to control the vehicle screen according to the screen coordinates and the gesture category.

[0033] In addition, to achieve the above-mentioned purpose, the present application also proposes a vehicle screen control device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the vehicle screen control method described above.

[0034] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the vehicle screen control method described above are implemented.

[0035] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the vehicle screen control method described above are implemented.

[0036] The present application collects several image frames through a camera inside the vehicle, extracts a hand area image from each image frame, then performs gesture recognition on the hand area image to obtain a gesture category, then performs coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen, and then performs screen control on the vehicle screen based on the screen coordinates and gesture category. The present application performs gesture recognition on the hand area image to obtain an accurate gesture category, then performs coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen, and then effectively controls the rear screen of the vehicle based on the screen coordinates and gesture category. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0039] Figure 1 This is a flow chart of the first embodiment of the vehicle screen control method of the present application;

[0040] Figure 2 This is a flow chart of a second embodiment of the vehicle screen control method of the present application;

[0041] Figure 3 This is a flow chart of the third embodiment of the vehicle screen control method of the present application;

[0042] Figure 4 This is a structural block diagram of the first embodiment of the vehicle screen control device of the present application;

[0043] Figure 5 It is a structural diagram of a vehicle screen control device in the hardware operating environment involved in the embodiment of the present application.

[0044] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0046] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0047] The main solution of the embodiment of the present application is: to collect several image frames through the camera inside the vehicle, and extract the hand area image from each image frame; to perform gesture recognition on the hand area image to obtain the gesture category; to perform coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen; to perform screen control on the vehicle screen according to the screen coordinates and the gesture category.

[0048] The contactless screen gesture control method is an interactive method based on computer vision and artificial intelligence technology. It aims to capture and identify hand key points and gesture movements through a camera, convert them into digital signals, and identify their intentions to achieve control of the rear screen of the car.

[0049] The present application collects several image frames through a camera inside the vehicle, extracts a hand area image from each image frame, then performs gesture recognition on the hand area image to obtain a gesture category, then performs coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen, and then performs screen control on the vehicle screen based on the screen coordinates and gesture category. The present application performs gesture recognition on the hand area image to obtain an accurate gesture category, then performs coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen, and then effectively controls the rear screen of the vehicle based on the screen coordinates and gesture category.

[0050] It should be noted that the executor of the present application may be a vehicle control unit (VCU), a microcontroller unit (MCU), etc.

[0051] Based on this, the embodiment of the present application provides a vehicle screen control method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the vehicle screen control method of the present application.

[0052] In this embodiment, the vehicle screen control method includes the following steps:

[0053] Step S10: Capture a number of image frames through a camera inside the vehicle, and extract a hand area image from each image frame.

[0054] It is understandable that the camera may be an occupancy monitoring system (OMS) camera, which may be installed between the main driver and the co-driver in the vehicle. In this embodiment, the camera may collect a number of image frames in a continuous period of time, and extract a hand region image from each image frame. The hand region image refers to an image with a hand, so the hand region image may not be extracted from every image frame.

[0055] Furthermore, in order to accurately extract the hand area image, in this embodiment, the step S10 includes: collecting a number of image frames through a camera inside the vehicle, and performing hand detection on each image frame through a hand detection model to obtain a hand area; determining a hand detection frame based on the hand area; and extracting the hand area image from each image frame through the hand detection frame.

[0056] It should be understood that after capturing several image frames through the camera inside the vehicle, hand detection can be performed on each image frame through a hand detection model based on a convolutional neural network (CNN) to obtain the hand area, that is, the area where the hand exists in the image frame. The hand area cannot be detected in every image frame.

[0057] It is understandable that the hand detection frame can be determined according to the hand region, and the hand detection frame can be a square, and the side length can be the longer side length of the width and height of the hand region. Then the hand detection frame is appropriately scaled so that the scaled detection frame can completely include the hand region, that is, the hand region of interest, and the hand region image is extracted from each image frame through the hand region of interest.

[0058] Step S20: performing gesture recognition on the hand area image to obtain a gesture category.

[0059] In a specific implementation, the hand area image can be input into a static gesture classification model for gesture recognition. Specifically, the static gesture classification model can be used to obtain the gesture category probabilities, and then the gesture category corresponding to the maximum probability is selected, such as fisting, flipping, and other categories.

[0060] Step S30: performing coordinate transformation on the image coordinates corresponding to the wrist key point in the hand region image to obtain the screen coordinates of the wrist key point on the vehicle screen.

[0061] It should be understood that the wrist key point refers to the key point of the wrist, which may exist only once, and the image coordinates refer to the coordinates of the wrist key point in the hand area image, and specifically, the lower left corner of the hand area image can be used as the origin to obtain the image coordinates. The screen coordinates refer to the coordinates of the wrist key point on the rear screen, and specifically, the image coordinates of the wrist key point can be converted to obtain the screen coordinates.

[0062] Step S40: performing screen control on the vehicle screen according to the screen coordinates and the gesture category.

[0063] In the specific implementation, this embodiment can control the vehicle screen according to the screen coordinates and gesture categories. Specifically, the position of the screen coordinates can be used as the cursor, and the vehicle screen can be controlled through gesture categories, such as flipping the palm to return to the current page, and clenching the fist to achieve a click operation, etc.

[0064] This embodiment collects several image frames through the camera inside the vehicle, extracts the hand area image from each image frame, then performs gesture recognition on the hand area image to obtain the gesture category, then performs coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen, and then performs screen control on the vehicle screen according to the screen coordinates and gesture category. This application performs gesture recognition on the hand area image to obtain an accurate gesture category, then performs coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image, converts the coordinates of the wrist key point from the image coordinate system to the screen coordinate system, obtains the screen coordinates of the wrist key point on the vehicle screen, and then effectively controls the rear screen of the vehicle according to the screen coordinates and gesture category.

[0065] refer to Figure 2 , Figure 2 This is a flow chart of the second embodiment of the vehicle screen control method of the present application.

[0066] Based on the above first embodiment, in this embodiment, step S30 includes:

[0067] Step S301: extracting hand key points in the hand region image through a hand key point model, and selecting wrist key points from the hand key points.

[0068] It is understandable that the hand key points in the hand area image can be extracted through the hand key point model, and the number of hand key points can be 21. Then, the wrist key points being tracked are selected from the hand key points, and the number of wrist key points can be 1.

[0069] Step S302: Determine the image coordinates of the wrist key point in the hand area image.

[0070] It should be understood that the image coordinates (x, y) of the wrist key point may be determined by taking the lower left corner of the hand region image as the origin.

[0071] Step S303: performing coordinate transformation on the image coordinates to obtain the screen coordinates of the wrist key point on the vehicle screen.

[0072] Furthermore, in order to accurately calculate the screen coordinates of the wrist key point on the vehicle screen, in this embodiment, the step S303 includes: determining the screen pixel width of the vehicle screen, and determining the side length corresponding to the hand area image; calculating the screen zoom factor according to the screen pixel width, the side length and the image zoom factor; determining the screen coordinates of the wrist key point on the vehicle screen according to the screen zoom factor and the image coordinates.

[0073] It is understandable that the screen pixel width refers to the pixel width of the rear screen of the vehicle, the hand area image is a square, and the side length of the watch area image can be obtained. The screen scaling factor scale = SCREEN_WIDTH / (box_scale*rescale_factor), SCREEN_WIDTH is the screen pixel width, box_scale is the side length, and rescale_factor is the image scaling factor, which can be set to 2.0 in this embodiment.

[0074] It should be understood that the image coordinates can be used as the origin to obtain the next frame key point movement vector (x1, y1), multiplied by the screen zoom factor plus the screen cursor starting point to obtain the screen coordinates (x', y') of the wrist key point on the vehicle screen. The screen coordinates can be the coordinates on the screen after the gesture moves. For example, the resolution of the display screen is 1920×1080, the upper left corner of the screen is used as the origin, the x-axis is rightward and the y-axis is downward, and the screen cursor starting point can be the center of the screen, that is, (960, 540).

[0075] This embodiment extracts the hand key points in the hand area image through the hand key point model, selects the wrist key point from the hand key points, and then determines the image coordinates of the wrist key point in the hand area image, and then performs coordinate transformation on the image coordinates to obtain the screen coordinates of the wrist key point on the vehicle screen. This embodiment performs coordinate transformation on the image coordinates of the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen, thereby determining the movement of the gesture according to the screen coordinates.

[0076] refer to Figure 3 , Figure 3 This is a flow chart of the third embodiment of the vehicle screen control method of the present application.

[0077] Based on the above embodiments, in this embodiment, step S40 includes:

[0078] Step S401: determining a cursor state of a cursor state machine and a gesture state of a gesture state machine according to the gesture category.

[0079] It is understandable that the cursor state refers to the state of the cursor on the rear screen of the vehicle, which may include an inactive state, an activating state, an activated state, etc. The gesture state machine refers to the state of the user's gesture, which may include an initial state, a detected state, a fist state, etc.

[0080] Step S402: when the cursor state is an activated state and the gesture state is a detected state, screen control is performed on the vehicle screen according to the screen coordinates and the gesture category.

[0081] It should be understood that when the cursor state is activated, it means that the screen cursor is activated, and when the gesture state is detected, it means that the screen can recognize the gesture. Then the vehicle screen is controlled according to the screen coordinates and gesture categories. For example, when the gesture category is palm flip, the current page return operation is realized, and when the gesture category is fist, the screen coordinate click operation is realized.

[0082] Furthermore, in order to accurately obtain the cursor state and gesture state, in this embodiment, the step S402 includes: determining the hand identifier corresponding to the hand area image; determining the cursor state of the cursor state machine according to the hand identifier and the gesture category; determining the gesture state of the gesture state machine according to the cursor state and the gesture category.

[0083] It is understandable that the matching of the detection results of consecutive frames is completed by tracking the hand area image to obtain the hand identifier, and the hand identifiers of the same hand are the same.

[0084] It should be understood that the input of the cursor state machine includes the model output results of hand detection, tracking, gesture recognition, and key point detection. The information included in each hand should include: 1) the hand tracking ID, that is, the hand identification; 2) the side length of the processed hand area square box, that is, the side length of the hand area image; 3) the pixel coordinate value (x, y) of the wrist key point in the image coordinate system.

[0085] The cursor state may include: Inactive state: initialized to this state. When entering this state, all internal variables of the state machine object are reset and set to default values. Perform conditional judgment and judge all tracked hands in turn. If the gesture is recognized as (STOP or PALM), assign the current tracking id to track_id, initialize the variable activating_start_time and assign it to the current time, and transfer to the activating state. If all tracked gestures are traversed and the function has not returned, it remains in the inactive state. Activating state: If the activation gesture is maintained for a certain period of time, it enters the activated state. If the following events occur, it returns to the inactive state: 1) The activation gesture is interrupted before the time is up, 2) The tracked gesture id is lost. If the tracking activation time exceeds the threshold, it enters the activated state. Activated state: In the current state, the mouse can be simulated to operate the entertainment screen, and the functions of the car machine can be controlled in combination with the gesture state machine. If the tracked gesture id is lost, it returns to the inactive state.

[0086] In a specific implementation, the input of the gesture state machine needs to be obtained in cooperation with the cursor state machine, which needs to activate the state variables, cursor position and the output of the tracked static gesture classification model.

[0087] The gesture state may include: initial state: the state where no gesture is detected. If a pre-set category of gesture to be detected is detected, the internal variable holding_start_pos is initialized and the input current cursor position is assigned to it, and the detected state is entered, and gesture events and gesture types are sent to the outside; if a fist gesture is detected, the fist state is entered, the current cursor position is output, and gesture events are sent to the outside; otherwise, the state is exited and re-entered. Detected state: the state where the specified gesture is detected, gesture events and types are sent to the outside, and different operations are implemented according to different gestures, such as turning the palm to return the current page, and making a fist to click, etc. When it is determined that the probability of the detected gesture category is less than the classification failure threshold, the gesture end event is triggered, and the gesture event GESTURE_END and gesture type are sent to the outside. Fist state: When entering the fist state, the vector starting from holding_start_pos and the current input cursor position is recorded as delta, and the modulus of the vector is recorded as distance. If distance is less than the configuration parameter movement activation distance threshold, the cursor will not move. Otherwise, the angle between delta and the x-axis is calculated. According to the size and positive and negative of the angle, the movement direction is recorded as up, down, left, and right. Combine the fist state and movement direction to realize the left, right, up, and down sliding function of the page. If the probability of the fist gesture is less than the classification failure threshold, the fist end event is triggered.

[0088] This embodiment determines the cursor state of the cursor state machine and the gesture state of the gesture state machine according to the gesture category, and when the cursor state is in the activated state and the gesture state is in the detected state, the vehicle screen is controlled according to the screen coordinates and the gesture category. This embodiment controls the functions triggered by the corresponding states through the cursor state machine and the gesture state machine, reduces the occasional recognition insensitivity under occlusion or light influence, resulting in the interruption of dynamic gesture control, and improves the smoothness and experience of the user's non-contact control of the screen.

[0089] Reference Figure 4 , Figure 4 This is a structural block diagram of the first embodiment of the vehicle screen control device of the present application.

[0090] like Figure 4 As shown, the vehicle screen control device proposed in the embodiment of the present application includes:

[0091] An image acquisition module 10 is used to acquire a plurality of image frames through a camera inside the vehicle and extract a hand region image from each image frame;

[0092] A gesture recognition module 20, configured to perform gesture recognition on the hand region image to obtain a gesture category;

[0093] A coordinate conversion module 30, configured to perform coordinate conversion on the image coordinates corresponding to the wrist key point in the hand region image to obtain the screen coordinates of the wrist key point on the vehicle screen;

[0094] The screen control module 40 is used to control the vehicle screen according to the screen coordinates and the gesture category.

[0095] This embodiment collects several image frames through the camera inside the vehicle, extracts the hand area image from each image frame, then performs gesture recognition on the hand area image to obtain the gesture category, then performs coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen, and then performs screen control on the vehicle screen according to the screen coordinates and gesture category. This application performs gesture recognition on the hand area image to obtain an accurate gesture category, then performs coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image, converts the coordinates of the wrist key point from the image coordinate system to the screen coordinate system, obtains the screen coordinates of the wrist key point on the vehicle screen, and then effectively controls the rear screen of the vehicle according to the screen coordinates and gesture category.

[0096] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present application. In practical applications, technicians in this field can select part or all of it according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0097] In addition, for technical details that are not described in detail in this embodiment, please refer to the vehicle screen control method provided in any embodiment of the present application, and will not be repeated here.

[0098] Based on the above-mentioned first embodiment of the vehicle screen control device of the present application, a second embodiment of the vehicle screen control device of the present application is proposed.

[0099] In this embodiment, the image acquisition module 10 is also used to acquire a number of image frames through a camera inside the vehicle, and perform hand detection on each image frame through a hand detection model to obtain a hand area; determine a hand detection frame based on the hand area; and extract a hand area image from each image frame through the hand detection frame.

[0100] Furthermore, the coordinate transformation module 30 is also used to extract hand key points in the hand area image through a hand key point model, and select wrist key points from the hand key points; determine the image coordinates of the wrist key points in the hand area image; and perform coordinate transformation on the image coordinates to obtain the screen coordinates of the wrist key points on the vehicle screen.

[0101] Furthermore, the coordinate conversion module 30 is also used to determine the screen pixel width of the vehicle screen and determine the side length corresponding to the hand area image; calculate the screen zoom factor according to the screen pixel width, the side length and the image zoom factor; and determine the screen coordinates of the wrist key point on the vehicle screen according to the screen zoom factor and the image coordinates.

[0102] Furthermore, the screen control module 40 is also used to determine the cursor state of the cursor state machine and the gesture state of the gesture state machine according to the gesture category; when the cursor state is an activated state and the gesture state is a detected state, the vehicle screen is controlled according to the screen coordinates and the gesture category.

[0103] Furthermore, the screen control module 40 is also used to determine the hand identifier corresponding to the hand area image; determine the cursor state of the cursor state machine according to the hand identifier and the gesture category; determine the gesture state of the gesture state machine according to the cursor state and the gesture category.

[0104] Other embodiments or specific implementation methods of the vehicle screen control device of the present application can refer to the above-mentioned method embodiments and will not be repeated here.

[0105] The present application provides a vehicle screen control device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the vehicle screen control method in the above-mentioned embodiment one.

[0106] Reference below Figure 5 , which shows a schematic diagram of the structure of a vehicle screen control device suitable for implementing an embodiment of the present application. The vehicle screen control device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The vehicle screen control device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0107] like Figure 5As shown, the vehicle screen control device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the vehicle screen control device are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the vehicle screen control device to communicate with other devices wirelessly or by wire to exchange data. Although the vehicle screen control device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0108] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0109] The vehicle screen control device provided by the present application adopts the vehicle screen control method in the above embodiment, which can solve the technical problem of how to effectively control the rear screen of the vehicle through gestures. Compared with the prior art, the beneficial effects of the vehicle screen control device provided by the present application are the same as the beneficial effects of the vehicle screen control method provided by the above embodiment, and the other technical features in the vehicle screen control device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0110] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0111] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0112] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the vehicle screen control method in the above-mentioned embodiment.

[0113] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0114] The computer-readable storage medium may be included in the vehicle screen control device; or may exist independently without being assembled into the vehicle screen control device.

[0115] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the vehicle screen control device, the vehicle screen control device: collects a number of image frames through a camera inside the vehicle, and extracts a hand area image from each image frame; performs gesture recognition on the hand area image to obtain a gesture category; performs coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen; and performs screen control on the vehicle screen according to the screen coordinates and the gesture category.

[0116] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0117] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0118] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0119] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned vehicle screen control method, and can solve the technical problem of how to effectively control the rear screen of the vehicle through gestures. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the vehicle screen control method provided by the above-mentioned embodiment, and will not be repeated here.

[0120] The present application also provides a computer program product, including a computer program, which implements the steps of the vehicle screen control method as described above when executed by a processor.

[0121] The computer program product provided by the present application can solve the technical problem of how to effectively control the rear screen of a vehicle through gestures. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the vehicle screen control method provided by the above embodiment, which will not be repeated here.

[0122] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A vehicle screen control method, characterized in that: The vehicle screen control method comprises the following steps: A plurality of image frames are collected by a camera inside the vehicle, and a hand region image is extracted from each image frame; Performing gesture recognition on the hand area image to obtain a gesture category; Performing coordinate transformation on the image coordinates corresponding to the wrist key point in the hand region image to obtain the screen coordinates of the wrist key point on the vehicle screen; The vehicle screen is controlled according to the screen coordinates and the gesture category.

2. The vehicle screen control method according to claim 1, characterized in that: The step of collecting a plurality of image frames through a camera inside the vehicle and extracting a hand area image from each image frame specifically includes: A camera inside the vehicle is used to collect a number of image frames, and a hand detection model is used to perform hand detection on each image frame to obtain a hand area; Determining a hand detection frame according to the hand area; A hand region image is extracted from each image frame through the hand detection frame.

3. The vehicle screen control method according to claim 1, characterized in that: The step of performing coordinate conversion on the image coordinates corresponding to the wrist key point in the hand region image to obtain the screen coordinates of the wrist key point on the vehicle screen specifically includes: Extracting hand key points in the hand region image through a hand key point model, and selecting wrist key points from the hand key points; Determine the image coordinates of the wrist key point in the hand area image; The image coordinates are transformed to obtain the screen coordinates of the wrist key point on the vehicle screen.

4. The vehicle screen control method according to claim 3, characterized in that: The step of performing coordinate conversion on the image coordinates to obtain the screen coordinates of the wrist key point on the vehicle screen specifically includes: Determine the screen pixel width of the vehicle screen, and determine the side length corresponding to the hand area image; Calculate a screen zoom factor according to the screen pixel width, the side length and the image zoom factor; The screen coordinates of the wrist key point on the vehicle screen are determined according to the screen zoom factor and the image coordinates.

5. The vehicle screen control method according to any one of claims 1 to 4, characterized in that: The step of performing screen control on the vehicle screen according to the screen coordinates and the gesture category specifically includes: Determining a cursor state of a cursor state machine and a gesture state of a gesture state machine according to the gesture category; When the cursor state is an activated state and the gesture state is a detected state, screen control is performed on the vehicle screen according to the screen coordinates and the gesture category.

6. The vehicle screen control method according to claim 5, characterized in that: The step of determining the cursor state of the cursor state machine and the gesture state of the gesture state machine according to the gesture category specifically includes: Determine a hand identifier corresponding to the hand region image; determining a cursor state of a cursor state machine according to the hand identifier and the gesture category; A gesture state of a gesture state machine is determined according to the cursor state and the gesture category.

7. A vehicle screen control device, characterized in that: The vehicle screen control device comprises: An image acquisition module, used to acquire a number of image frames through a camera inside the vehicle, and extract a hand area image from each image frame; A gesture recognition module, used to perform gesture recognition on the hand area image to obtain a gesture category; A coordinate conversion module, used for performing coordinate conversion on the image coordinates corresponding to the wrist key point in the hand area image to obtain the screen coordinates of the wrist key point on the vehicle screen; A screen control module is used to control the vehicle screen according to the screen coordinates and the gesture category.

8. A vehicle screen control device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vehicle screen control method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the vehicle screen control method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the vehicle screen control method according to any one of claims 1 to 6 are implemented.