WO2022142332A1 - 报警阈值调整方法及装置、电子设备和存储介质 - Google Patents

报警阈值调整方法及装置、电子设备和存储介质 Download PDF

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Publication number
WO2022142332A1
WO2022142332A1 PCT/CN2021/109832 CN2021109832W WO2022142332A1 WO 2022142332 A1 WO2022142332 A1 WO 2022142332A1 CN 2021109832 W CN2021109832 W CN 2021109832W WO 2022142332 A1 WO2022142332 A1 WO 2022142332A1
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Prior art keywords
behavior
alarm
driver
detection result
parameter threshold
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PCT/CN2021/109832
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English (en)
French (fr)
Inventor
沈丹青
伍俊
范亦卿
陶莹
许亮
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上海商汤临港智能科技有限公司
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Priority to JP2023522416A priority Critical patent/JP2023545158A/ja
Publication of WO2022142332A1 publication Critical patent/WO2022142332A1/zh

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18—Prevention or correction of operating errors
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18—Prevention or correction of operating errors
    • G08B29/20—Calibration, including self-calibrating arrangements
    • G08B29/24—Self-calibration, e.g. compensating for environmental drift or ageing of components
    • G08B29/26—Self-calibration, e.g. compensating for environmental drift or ageing of components by updating and storing reference thresholds

Definitions

  • the present disclosure relates to the technical field of intelligent driving, and in particular, to a method and device for adjusting an alarm threshold for driver behavior detection, an electronic device and a storage medium.
  • the Driver Monitoring System can identify the driver's driving state through the images collected by the camera aimed at the driver's face. When it is recognized that the driver has dangerous behaviors such as distraction, fatigue, or making phone calls, drinking water, smoking, etc., real-time warnings can be issued to ensure the driver's safe driving.
  • the present disclosure proposes a technical solution for adjusting an alarm threshold for driver behavior detection.
  • a method for adjusting an alarm threshold for driver behavior detection including: receiving false alarm feedback information, where the false alarm feedback information is used to indicate that a false alarm occurs based on a first behavior detection result of the driver obtaining the first behavior detection result of the driver; and adjusting the alarm parameter threshold corresponding to the driver's first behavior detection result according to the false alarm feedback information.
  • the adjusting the alarm parameter threshold of the behavior category corresponding to the driver's first behavior detection result according to the false alarm feedback information includes: in response to the false alarm feedback information, Sending out first prompt information, the first prompt information is used to prompt the user to adjust the alarm parameter threshold corresponding to the first behavior detection result of the driver; in response to receiving the alarm parameter threshold sent by the user according to the first prompt information The adjustment instruction adjusts the alarm parameter threshold corresponding to the first behavior detection result of the driver.
  • the method further includes: determining a behavior category corresponding to the driver's first behavior detection result; adjusting an alarm parameter threshold corresponding to the driver's first behavior detection result , including: adjusting the alarm parameter threshold of the behavior category corresponding to the driver's first behavior detection result.
  • the adjusting the alarm parameter threshold corresponding to the detection result of the first behavior of the driver includes: increasing or decreasing the detection result of the first behavior of the driver by a preset adjustment step size The alarm parameter threshold corresponding to the result.
  • the method further includes: identifying the type of the false alarm, wherein the type of the false alarm includes at least one of the following: falsely alarming the first dangerous driving behavior as the For the second dangerous driving behavior, the behavior categories corresponding to the first dangerous driving behavior and the second dangerous driving behavior are different; an alarm is issued when the dangerous driving behavior does not occur.
  • the method further includes: acquiring first video data that triggers the false alarm, where the first video data includes video data of the driver performing a preset behavior; The first video data is saved in the error alarm video library.
  • the acquiring the first video data that triggers the false alarm includes: acquiring the first video data within a preset time period before receiving the false alarm feedback information ; or obtain the first video data submitted by the user before sending the false alarm feedback information.
  • the method further includes: acquiring second video data, where the second video data includes the driver Execute the video data of the preset behavior; perform driving behavior detection based on the second video data and the adjusted alarm parameter threshold to obtain a second behavior detection result; In the case of alarm feedback information, the alarm parameter threshold corresponding to the second behavior detection result is adjusted.
  • the method further includes: reading an alarm parameter threshold corresponding to at least one preset category of driving behaviors; and acquiring the first behavior detection result of the driver includes: determining the driving behavior The target preset category to which the driver's driving behavior belongs; the first behavior detection result of the driver is determined based on the alarm parameter threshold corresponding to the driving behavior of the target preset category.
  • the adjusting the alarm parameter threshold corresponding to the first behavior detection result of the driver includes: adjusting the alarm parameter threshold corresponding to the driving behavior of the target preset category; the The method further includes: saving the adjusted alarm parameter threshold corresponding to the driving behavior of the target preset category.
  • the preset categories of driving behaviors include at least one of the following: yawning behavior, eye closing behavior, and head deflection behavior; wherein, the alarm parameter corresponding to the yawning behavior
  • the threshold includes at least one of a mouth opening amplitude threshold and a yawning duration threshold;
  • the alarm parameter threshold corresponding to the eye closing behavior includes at least one of an eye closing amplitude threshold and an eye closing duration threshold;
  • the The alarm parameter threshold corresponding to the head deflection behavior includes the head posture deflection angle threshold.
  • an alarm threshold adjustment device for driver behavior detection including: a receiving module for receiving false alarm feedback information, where the false alarm feedback information is used to indicate a first behavior based on the driver An error alarm occurs in the detection result; an acquisition module is used to acquire the detection result of the first behavior of the driver; an adjustment module is used to adjust the alarm parameter corresponding to the detection result of the first behavior of the driver according to the feedback information of the false alarm threshold.
  • the adjustment module is configured to send first prompt information in response to the false alarm feedback information, where the first prompt information is used to prompt the user to adjust the first prompt information of the driver.
  • An alarm parameter threshold corresponding to the behavior detection result in response to receiving an alarm parameter threshold adjustment instruction sent by the user according to the first prompt information, the alarm parameter threshold corresponding to the driver's first behavior detection result is adjusted.
  • the apparatus further includes: a determination module, configured to determine a behavior category corresponding to the first behavior detection result of the driver; the adjustment module, configured to adjust the driver's behavior The alarm parameter threshold of the behavior category corresponding to the first behavior detection result.
  • the adjustment module is configured to increase or decrease the alarm parameter threshold corresponding to the detection result of the driver's first behavior by a preset adjustment step.
  • the apparatus further includes: an identification module configured to identify the type of the false alarm, wherein the type of the false alarm includes at least one of the following: The false alarm is the second dangerous driving behavior, and the behavior categories corresponding to the first dangerous driving behavior and the second dangerous driving behavior are different; an alarm is issued when the dangerous driving behavior does not occur.
  • an identification module configured to identify the type of the false alarm, wherein the type of the false alarm includes at least one of the following: The false alarm is the second dangerous driving behavior, and the behavior categories corresponding to the first dangerous driving behavior and the second dangerous driving behavior are different; an alarm is issued when the dangerous driving behavior does not occur.
  • the method further includes: a saving module, configured to acquire first video data that triggers the error alarm, where the first video data includes video data of the driver performing a preset behavior;
  • the first video data is stored in the error alarm video library.
  • the saving module is configured to: obtain the first video data within a preset time period before receiving the false alarm feedback information; The first video data submitted before the false alarm feedback information.
  • the adjustment module is further configured to acquire second video data after adjusting the alarm parameter threshold corresponding to the first behavior detection result of the driver, where the second video data includes video data of the driver performing the preset behavior; driving behavior detection based on the second video data and the adjusted alarm parameter threshold to obtain a second behavior detection result; after receiving the second behavior detection result In the case of false alarm feedback information, adjust the alarm parameter threshold corresponding to the second behavior detection result.
  • it further includes: a reading module, configured to read the alarm parameter threshold corresponding to at least one preset category of driving behavior; the obtaining module, used to determine the driving behavior of the driver The target preset category to which the behavior belongs; the first behavior detection result of the driver is determined based on the alarm parameter threshold corresponding to the driving behavior of the target preset category.
  • the adjustment module is configured to adjust the alarm parameter threshold corresponding to the driving behavior of the target preset category; the device further includes: a saving module, configured to save the adjusted The alarm parameter threshold corresponding to the driving behavior of the target preset category.
  • the preset categories of driving behaviors include at least one of the following: yawning behavior, eye closing behavior, and head deflection behavior; wherein, the alarm parameter corresponding to the yawning behavior
  • the threshold includes at least one of a mouth opening amplitude threshold and a yawning duration threshold;
  • the alarm parameter threshold corresponding to the eye closing behavior includes at least one of an eye closing amplitude threshold and an eye closing duration threshold;
  • the The alarm parameter threshold corresponding to the head deflection behavior includes the head posture deflection angle threshold.
  • an electronic device comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to invoke the instructions stored in the memory to execute the above method.
  • a computer-readable storage medium having computer program instructions stored thereon, the computer program instructions implementing the above method when executed by a processor.
  • a computer program comprising computer readable code, when the computer readable code is executed in an electronic device, a processor in the electronic device executes the above method.
  • false alarm feedback information may be received, and the false alarm feedback information may be used to indicate that a false alarm occurs based on the detection result of the driver's first behavior, and then the detection result of the driver's first behavior is acquired, and based on the false alarm
  • the alarm feedback information is used to adjust the alarm parameter threshold corresponding to the detection result of the driver's first behavior. In this way, by adjusting the alarm parameter thresholds, the detection accuracy of driving behavior can be improved, the occurrence of false alarms can be reduced, and the driver's driving experience can be improved.
  • FIG. 1 shows a flowchart of a method for adjusting an alarm threshold for driver behavior detection according to an embodiment of the present disclosure.
  • FIG. 2 shows a flowchart of an example of a method for adjusting an alarm threshold for driver behavior detection according to an embodiment of the present disclosure.
  • FIG. 3 shows a block diagram of an alarm threshold adjustment apparatus for driver behavior detection according to an embodiment of the present disclosure.
  • FIG. 4 shows a block diagram of an example of an electronic device according to an embodiment of the present disclosure.
  • FIG. 5 shows a block diagram of an example of an electronic device according to an embodiment of the present disclosure.
  • the alarm threshold adjustment solution for driver behavior detection can be applied to scenarios such as DMS systems, automatic driving or assisted driving systems, urban traffic, and traffic travel.
  • the driver's laughing behavior is falsely alarmed as yawning fatigue behavior
  • the driver can press the false alarm button
  • the DMS system can raise the alarm parameter threshold of yawning behavior to classify the laughing behavior as normal.
  • Driving behavior which can improve the false alarm of the DMS system and enhance the driver's driving experience.
  • the adjusted alarm parameter thresholds and video data may also be saved locally or in the cloud to facilitate subsequent reuse and comparison.
  • the method for adjusting the alarm threshold for driver behavior detection may be executed by a terminal device, a server, or other types of electronic devices, where the terminal device may be a user equipment (User Equipment, UE), a mobile device, a user terminal, Terminals, cellular phones, cordless phones, personal digital assistants (Personal Digital Assistant, PDA), handheld devices, computing devices, in-vehicle devices, wearable devices, etc.
  • the method for adjusting the warning threshold for driver behavior detection may be implemented by the processor calling computer-readable instructions stored in the memory. Alternatively, the method may be performed by a server.
  • FIG. 1 shows a flowchart of a method for adjusting an alarm threshold for driver behavior detection according to an embodiment of the present disclosure. As shown in FIG. 1 , the method for adjusting an alarm threshold for driver behavior detection includes:
  • Step S11 receiving false alarm feedback information.
  • the electronic device may receive false alarm feedback information, and the false alarm feedback information may be used to indicate that a false alarm occurs based on the detection result of the driver's first behavior.
  • the first video data collected for the driver may be acquired, and the driving behavior of the driver is detected based on the first video data to obtain the first behavior detection result.
  • the first behavior detection result may include information such as the behavior category of the driving behavior, behavior parameters, and whether it is a dangerous driving behavior. Dangerous driving behaviors may be some behaviors performed by the driver during driving that affect driving safety. For example, yawning behaviors, eye closing behaviors, and the like may all be considered dangerous driving behaviors. In the case that the first behavior detection result is a dangerous driving behavior, an alarm may be issued.
  • the user can feedback the false alarm to the electronic device by performing a preset operation, for example, by pressing the predicted operation of the false alarm button to the electronic device Feedback the error alarm.
  • the user can also feed back the error alarm to the electronic device by means of preset voice or preset gesture.
  • the present disclosure does not limit the specific triggering method of the false alarm feedback information.
  • the type of the false alarm can also be identified.
  • the false alarm feedback information can carry the type of identifying the false alarm, and the type of the false alarm can be identified according to the false alarm feedback information.
  • the type of error alarm can be pre-defined according to specific conditions such as alarm content error and alarm time error.
  • the types of false alarms may include at least one of the following: falsely alarming the first dangerous driving behavior as the second dangerous driving behavior, and the behavior categories corresponding to the first dangerous driving behavior and the second dangerous driving behavior are different. Sounds the alarm when no dangerous driving behavior has occurred. For example, the behavior of closing eyes (the first dangerous driving behavior) is falsely reported as yawning behavior (the second dangerous driving behavior).
  • an alarm is issued under the condition that the driver's normal driving is to be issued (ie, an alarm is issued under the condition that no dangerous driving behavior has occurred).
  • Dangerous driving behaviors include, but are not limited to, one or more of closing eyes, yawning, smoking, drinking, and making phone calls.
  • Step S12 acquiring the first behavior detection result of the driver.
  • the first behavior detection result of the driver after receiving the false alarm feedback information, the first behavior detection result of the driver may be obtained.
  • the occurrence of false alarms can be determined according to the reception time of the false alarm feedback information, for example, the latest alarm issued before the reception time of the false alarm feedback information can be determined as the false alarm that has occurred.
  • the first behavior detection result of the driver who triggered the false alarm can be obtained according to the false alarm.
  • the first behavior detection result may be obtained by behavior detection based on the video data of the driver before the false alarm is issued.
  • the dangerous driving behavior alarm may carry the behavior detection result of the dangerous driving behavior.
  • the driver's first information may be extracted from the false alarm feedback information.
  • a behavioral detection result After it is detected that the driver has a crisis driving behavior, the driver's behavior detection result and the alarm can be recorded. Correspondingly, after the false alarm that triggers the false alarm feedback information is determined, the saved record Obtain the first behavior detection result recorded with the false alarm.
  • Step S13 according to the false alarm feedback information, adjust the alarm parameter threshold corresponding to the detection result of the driver's first behavior.
  • the dangerous driving behavior may correspond to one or more alarm parameter thresholds.
  • the behavior parameters can be used to characterize driving behavior parameters.
  • the behavior parameters of yawning behavior can include at least one of mouth opening and yawning duration
  • the behavior parameters of eye closing behavior can include eye closing amplitude and At least one of the eye closure duration and the behavior parameter of the head deflection behavior may include a head posture deflection angle.
  • the false alarm feedback information indicates that a false alarm occurs based on the detection result of the first behavior
  • the mouth opening may be a ratio of the height and width of the mouth.
  • the yawn duration may be the duration of the mouth opening range reaching a threshold of the mouth opening range.
  • the eye closure range may be the ratio of the height and width of the eye.
  • the eye closure duration may be a cumulative duration in which the eye closure amplitude is less than the threshold of the eye closure amplitude in a statistical period.
  • the head attitude yaw angle may include at least one of a yaw angle, a pitch angle, and a roll angle roll.
  • first prompt information is sent, where the first prompt information is used to prompt the user to adjust the alarm parameter threshold corresponding to the driver's first behavior detection result.
  • the display manner of the first prompt information may include various forms such as voice prompt and interface display.
  • the electronic device may prompt in the form of a voice prompt for adjusting the alarm parameter threshold corresponding to the first behavior detection result, or the electronic device may pop up the first prompt message through the interface, or directly on the interface
  • the setting page of the alarm parameter threshold is displayed on the screen. The user can adjust the alarm parameter threshold corresponding to the first behavior detection result according to the first prompt information.
  • the user can send an alarm parameter threshold adjustment instruction to the electronic device through voice, or can manually modify the first behavior on the setting page of the interface.
  • an alarm parameter threshold value adjustment instruction is sent to the electronic device.
  • the electronic device adjusts the alarm parameter threshold corresponding to the detection result of the driver's first behavior.
  • the alarm parameter threshold corresponding to the first behavior detection result can be adjusted according to the user's requirement, so as to satisfy the user's requirement for flexible setting of the alarm parameter threshold.
  • the user and the driver can be the same, so that in the event of a false alarm, the driver can adjust the alarm parameter threshold in time.
  • the user and the driver may also be different.
  • the user may be a user who has the authority to adjust the alarm parameter thresholds, so that the driver can adjust the alarm parameter thresholds in time without modifying the alarm parameter thresholds, thereby improving driving safety. .
  • the behavior category corresponding to the driver's first behavior detection result can also be determined, and in the case of adjusting the alarm parameter threshold corresponding to the driver's first behavior detection result, the driver's first behavior detection result can be adjusted.
  • the alarm parameter threshold of the behavior category corresponding to the behavior detection result can be adjusted.
  • the driving behavior of the driver may include multiple behavior categories, and the electronic device may issue an alarm for the driving behavior of the preset category, and the driving behavior of the preset category may be dangerous driving behavior.
  • the corresponding alarm parameter thresholds may also be different. Therefore, when the above false alarm feedback information is received, the behavior category corresponding to the driver's first behavior detection result can be determined first, and then the alarm parameter threshold of the behavior category corresponding to the driver's first detection result can be adjusted for adjustment. In this way, the automatic adjustment of the alarm parameter threshold can be realized, and the alarm parameter threshold of a specific behavior category can be adjusted in a targeted manner, thereby improving the accuracy of the adjustment of the alarm parameter threshold.
  • the preset categories of driving behaviors include at least one of the following: yawning behaviors, eye closing behaviors, and head deflection behaviors.
  • the alarm parameter threshold corresponding to the yawning behavior includes at least one of a mouth opening amplitude threshold and a yawning duration threshold.
  • the alarm parameter threshold corresponding to the eye closing behavior includes at least one of an eye closing amplitude threshold and an eye closing duration threshold.
  • the alarm parameter threshold corresponding to the head deflection behavior includes the head posture deflection angle threshold.
  • the alarm parameter threshold corresponding to the detection result of the driver's first behavior when adjusting the alarm parameter threshold corresponding to the detection result of the driver's first behavior, may be increased or decreased with a preset adjustment step size .
  • the preset adjustment step size may be set according to an actual application scenario, which is not limited in the present disclosure.
  • corresponding adjustment steps may be set for the alarm parameter thresholds of each behavior category.
  • the adjustment step size of the mouth opening amplitude threshold can be set to 0.1, 0.2 and other values.
  • the adjustment step size of the yawn duration threshold can be set to values such as 0.5s, 1s, etc.
  • the adjustment range of the alarm parameter threshold can be kept within a reasonable range, and the adjusted alarm parameter threshold will not be too high. Too large or too small to achieve precise adjustment.
  • the embodiments of the present disclosure can adjust the alarm parameter thresholds corresponding to the driving behavior when a false alarm occurs in the driving behavior, thereby reducing the occurrence of false alarms.
  • the first video data that triggers the false alarm can also be obtained. For example, according to the alarm time of the false alarm, the video data within the preset time period where the alarm time of the false alarm is located can be intercepted.
  • the video data is used as the first video data, for example, the video data of 10s before and after the alarm time is intercepted as the first video data, and the first video data includes the video data of the driver performing the preset behavior, and then the first video data is saved to the false alarm video library middle.
  • the first video data within a preset time period before the false alarm feedback information is received may be acquired.
  • the first video data submitted by the user before sending the false alarm feedback information can be obtained.
  • the user selects a video clip in the video recording as the trigger when reviewing the video recording information that triggers the alarm.
  • the first video data of the false alarm is uploaded, and the video data of the driver when the false alarm occurs can be more accurately located by acquiring the data selected to be uploaded by the user.
  • the first video data that triggers an error alarm can be saved, which can be used for subsequent error alarm analysis or secondary verification of the alarm result.
  • the error alarm video library may be in a local storage device, and in some implementations, the error alarm video library may also be in a cloud server, which is not limited in the present disclosure.
  • the preset behavior can be any behavior performed by the driver.
  • second video data may be acquired, and the second video data may include video data of the driver performing the above-mentioned preset behavior, that is, in After adjusting the alarm parameter threshold corresponding to the detection result of the driver's first behavior, the driver can repeat the above preset behavior, and the electronic device can obtain second video data of the driver repeatedly performing the above preset behavior.
  • driving behavior detection may be performed to obtain a second behavior detection result.
  • the second behavior detection result may include information such as the behavior category of the driving behavior, the behavior parameters, and whether it is a dangerous driving behavior.
  • the second behavior detection result is a dangerous driving behavior
  • an alarm may be issued.
  • the alarm issued is still a false alarm, so that the detection result of the second behavior can be further adjusted.
  • the corresponding alarm parameter threshold until the driver does the same preset behavior again and no longer sends out a false alarm. In this way, the alarm parameter thresholds can be continuously adjusted to meet user needs.
  • step S11 false positive feedback information may be received.
  • the alarm parameter threshold corresponding to at least one preset category of driving behaviors may also be read.
  • the alarm parameter threshold corresponding to at least one preset category of driving behavior may be read in the local storage device, and the alarm parameter threshold corresponding to at least one preset category of driving behavior may be saved in the local storage device after the last adjustment .
  • the alarm parameter threshold corresponding to at least one preset category of driving behavior can also be read from the threshold configuration information sent by the cloud server, and the electronic device can upload the face image collected for the driver's face to the cloud server, and the cloud server can Identify the driver's face image, search for the alarm parameter threshold corresponding to at least one preset category of driving behavior of the driver according to the identification result, and then carry the alarm parameter threshold corresponding to at least one preset category of driving behavior with The threshold configuration information is sent to the electronic device.
  • the target preset category to which the driver's driving behavior belongs can be determined first, and then the driver's first behavior can be determined based on the alarm parameter threshold corresponding to the driving behavior of the target preset category.
  • Behavioral test results For example, a driving behavior recognition algorithm, a trained driver behavior detection neural network, etc. can be used to detect the driver's driving behavior according to the first video data, determine the target preset category to which the driver's driving behavior belongs, and then The behavior parameter of the driver's driving behavior is compared with the alarm parameter threshold corresponding to the driving behavior of the target preset category to determine whether the driver's driving behavior is a dangerous driving behavior, and a first behavior detection result is obtained. In this way, in the case of receiving false alarm feedback information, the alarm parameter threshold corresponding to the driving behavior of at least one preset category previously adjusted can be read, so as to realize the personalized configuration of the alarm parameter threshold.
  • the alarm parameter threshold corresponding to the driving behavior of the target preset category may be further adjusted, and then the adjusted alarm parameter threshold corresponding to the driving behavior of the target preset category is saved.
  • the adjusted alarm parameter threshold corresponding to the driving behavior of the target preset category can be saved in the local storage device, or the adjusted alarm parameter threshold corresponding to the driving behavior of the target preset category can be uploaded to the cloud server to For the next occurrence of a false alarm of the driving behavior of the target preset category, the saved alarm parameter threshold can be called to reduce the recurrence of false alarms.
  • the alarm parameter threshold adjustment mechanism can realize the correction and recording of the alarm parameter threshold when a false alarm occurs, thereby reducing the occurrence of false alarms.
  • the video data that triggers the error alarm can also be saved to facilitate subsequent further optimization and reduce the time and cost and effort of developers to collect training data.
  • FIG. 2 shows a flowchart of an example of a method for adjusting an alarm threshold for driver behavior detection according to an embodiment of the present disclosure.
  • DMS cameras can be installed in one or more areas of the vehicle, such as the A-pillar, instrument panel, and center console, so as to ensure that the camera can accurately identify the driver's face information and driving behavior, and will not be blocked by steering wheels and other obstacles. occlusion and reflections.
  • S22 Perform driving behavior detection on the first video data to obtain a first behavior detection result of the driver, where the first behavior detection result is a dangerous driving behavior of yawning, and an alarm is issued.
  • S23 Receive false alarm feedback information for indicating that a false alarm occurs in the first behavior detection result.
  • S27 Determine whether an error alarm occurs in the detection result of the second behavior of the second video data. If an error alarm occurs with respect to the second behavior detection result of the second video data, return to S25; otherwise, execute S28.
  • the adjusted alarm parameter threshold can be saved in the cache. If the same false alarm still occurs based on the adjusted alarm parameter threshold, it can be Continue to adjust based on the alarm parameter threshold.
  • the above-mentioned process of adjusting the alarm parameter threshold is repeated until the alarm is no longer issued for the same type of driver behavior, and then the adjusted alarm parameter threshold is persistently stored in the memory.
  • the present disclosure also provides an alarm threshold adjustment device for driver behavior detection, an electronic device, a computer-readable storage medium, and a program, all of which can be used to implement any of the driver behavior detection alarm threshold adjustment methods provided by the present disclosure, Corresponding technical solutions and descriptions, and refer to the corresponding records in the method section, will not be repeated.
  • FIG. 3 shows a block diagram of an alarm threshold adjustment device for driver behavior detection according to an embodiment of the present disclosure. As shown in FIG. 3 , the device includes:
  • the receiving module 31 is used for receiving false alarm feedback information, and the false alarm feedback information is used to indicate that a false alarm occurs based on the first behavior detection result of the driver;
  • an acquisition module 32 for acquiring the first behavior detection result of the driver
  • the adjustment module 33 is configured to adjust the alarm parameter threshold corresponding to the detection result of the driver's first behavior according to the false alarm feedback information.
  • the adjustment module 33 is configured to send first prompt information in response to the false alarm feedback information, where the first prompt information is used to prompt the user to adjust the first behavior detection result of the driver The corresponding alarm parameter threshold; in response to receiving the alarm parameter threshold adjustment instruction sent by the user according to the first prompt information, the alarm parameter threshold corresponding to the first behavior detection result of the driver is adjusted.
  • the device further includes: a determining module for determining a behavior category corresponding to the driver's first behavior detection result; the adjusting module for adjusting the driver's first behavior detection result The alarm parameter threshold for the corresponding behavior category.
  • the adjustment module 33 is configured to increase or decrease the alarm parameter threshold corresponding to the detection result of the driver's first behavior by a preset adjustment step.
  • the apparatus further includes: an identification module, configured to identify the type of the false alarm, wherein the type of the false alarm includes at least one of the following: falsely alarming the first dangerous driving behavior as the For the second dangerous driving behavior, the behavior categories corresponding to the first dangerous driving behavior and the second dangerous driving behavior are different; an alarm is issued when the dangerous driving behavior does not occur.
  • an identification module configured to identify the type of the false alarm, wherein the type of the false alarm includes at least one of the following: falsely alarming the first dangerous driving behavior as the For the second dangerous driving behavior, the behavior categories corresponding to the first dangerous driving behavior and the second dangerous driving behavior are different; an alarm is issued when the dangerous driving behavior does not occur.
  • the method further includes: a saving module for acquiring first video data that triggers the error alarm, the first video data including video data of the driver performing a preset behavior; storing the first video data Save to the error alarm video library.
  • a saving module is configured to: acquire the first video data within a preset time period before receiving the false alarm feedback information; or acquire the information submitted by the user before the false alarm feedback information is sent the first video data.
  • the adjustment module 33 is further configured to acquire second video data after adjusting the alarm parameter threshold corresponding to the detection result of the first behavior of the driver, where the second video data includes The video data of the preset behavior; based on the second video data and the adjusted alarm parameter threshold, the driving behavior detection is performed to obtain a second behavior detection result; after receiving the false alarm feedback for the second behavior detection result In the case of information, the alarm parameter threshold corresponding to the second behavior detection result is adjusted.
  • the method further includes: a reading module for reading alarm parameter thresholds corresponding to at least one preset category of driving behavior; the obtaining module 32 for determining the target to which the driver's driving behavior belongs A preset category; a first behavior detection result of the driver is determined based on an alarm parameter threshold corresponding to the driving behavior of the target preset category.
  • the adjustment module 33 is configured to adjust the alarm parameter threshold corresponding to the driving behavior of the target preset category; the device further includes: a saving module, configured to save the adjusted target preset. Set the alarm parameter threshold corresponding to the driving behavior of the category.
  • the preset categories of driving behaviors include at least one of the following: yawning behavior, eye closing behavior, and head deflection behavior; wherein, the alarm parameter threshold corresponding to the yawning behavior includes mouth opening At least one of an opening amplitude threshold and a yawning duration threshold; the alarm parameter threshold corresponding to the eye closing behavior includes at least one of an eye closing amplitude threshold and an eye closing duration threshold; the head deflection behavior corresponds to The alarm parameter thresholds include the head posture deflection angle threshold.
  • the functions or modules included in the apparatuses provided in the embodiments of the present disclosure may be used to execute the methods described in the above method embodiments.
  • Embodiments of the present disclosure further provide a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the foregoing method is implemented.
  • the computer-readable storage medium may be a non-volatile computer-readable storage medium.
  • An embodiment of the present disclosure further provides an electronic device, including: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to invoke the instructions stored in the memory to execute the above method.
  • Embodiments of the present disclosure also provide a computer program product, including computer-readable codes.
  • a processor in the device executes the driver behavior detection for implementing the driver behavior detection provided in any of the above embodiments. Instructions for the alarm threshold adjustment method.
  • Embodiments of the present disclosure further provide another computer program product for storing computer-readable instructions, which, when executed, cause the computer to execute the operations of the method for adjusting an alarm threshold for driver behavior detection provided by any of the foregoing embodiments.
  • Embodiments of the present disclosure also provide a computer program, including computer-readable codes, when the computer-readable codes are executed in an electronic device, a processor in the electronic device executes the above method.
  • the electronic device may be provided as a terminal, server or other form of device.
  • FIG. 4 shows a block diagram of an electronic device 800 according to an embodiment of the present disclosure.
  • electronic device 800 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, fitness device, personal digital assistant, etc. terminal.
  • the electronic device 800 may include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814 , and the communication component 816 .
  • the processing component 802 generally controls the overall operation of the electronic device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 802 can include one or more processors 820 to execute instructions to perform all or some of the steps of the methods described above.
  • processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components.
  • processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.
  • Memory 804 is configured to store various types of data to support operation at electronic device 800 . Examples of such data include instructions for any application or method operating on electronic device 800, contact data, phonebook data, messages, pictures, videos, and the like. Memory 804 may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic Disk or Optical Disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM erasable Programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Magnetic Disk Magnetic Disk or Optical Disk.
  • Power supply assembly 806 provides power to various components of electronic device 800 .
  • Power supply components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 800 .
  • Multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user.
  • the touch panel includes one or more touch sensors to sense touch, swipe, and gestures on the touch panel. The touch sensor may not only sense the boundaries of a touch or swipe action, but also detect the duration and pressure associated with the touch or swipe operation.
  • the multimedia component 808 includes a front-facing camera and/or a rear-facing camera. When the electronic device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each of the front and rear cameras can be a fixed optical lens system or have focal length and optical zoom capability.
  • Audio component 810 is configured to output and/or input audio signals.
  • audio component 810 includes a microphone (MIC) that is configured to receive external audio signals when electronic device 800 is in operating modes, such as calling mode, recording mode, and voice recognition mode.
  • the received audio signal may be further stored in memory 804 or transmitted via communication component 816 .
  • audio component 810 also includes a speaker for outputting audio signals.
  • the I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to: home button, volume buttons, start button, and lock button.
  • Sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of electronic device 800 .
  • the sensor assembly 814 can detect the on/off state of the electronic device 800, the relative positioning of the components, such as the display and the keypad of the electronic device 800, the sensor assembly 814 can also detect the electronic device 800 or one of the electronic device 800 Changes in the position of components, presence or absence of user contact with the electronic device 800 , orientation or acceleration/deceleration of the electronic device 800 and changes in the temperature of the electronic device 800 .
  • Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact.
  • Sensor assembly 814 may also include a light sensor, such as a complementary metal oxide semiconductor (CMOS) or charge coupled device (CCD) image sensor, for use in imaging applications.
  • CMOS complementary metal oxide semiconductor
  • CCD charge coupled device
  • the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 816 is configured to facilitate wired or wireless communication between electronic device 800 and other devices.
  • the electronic device 800 may access a wireless network based on a communication standard, such as wireless network (WiFi), second generation mobile communication technology (2G) or third generation mobile communication technology (3G), or a combination thereof.
  • the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication.
  • the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wide Band (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID Radio Frequency Identification
  • IrDA Infrared Data Association
  • UWB Ultra Wide Band
  • Bluetooth Bluetooth
  • electronic device 800 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A programmed gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation is used to perform the above method.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A programmed gate array
  • controller microcontroller, microprocessor or other electronic component implementation is used to perform the above method.
  • a non-volatile computer-readable storage medium such as a memory 804 comprising computer program instructions executable by the processor 820 of the electronic device 800 to perform the above method is also provided.
  • FIG. 5 shows a block diagram of an electronic device 1900 according to an embodiment of the present disclosure.
  • the electronic device 1900 may be provided as a server.
  • electronic device 1900 includes processing component 1922, which further includes one or more processors, and a memory resource represented by memory 1932 for storing instructions executable by processing component 1922, such as applications.
  • An application program stored in memory 1932 may include one or more modules, each corresponding to a set of instructions.
  • the processing component 1922 is configured to execute instructions to perform the above-described methods.
  • the electronic device 1900 may also include a power supply assembly 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input output (I/O) interface 1958 .
  • the electronic device 1900 can operate based on an operating system stored in the memory 1932, such as a Microsoft server operating system (Windows Server TM ), a graphical user interface based operating system (Mac OS X TM ) introduced by Apple, a multi-user multi-process computer operating system (Unix TM ), Free and Open Source Unix-like Operating System (Linux TM ), Open Source Unix-like Operating System (FreeBSD TM ) or the like.
  • Microsoft server operating system Windows Server TM
  • Mac OS X TM graphical user interface based operating system
  • Uniix TM multi-user multi-process computer operating system
  • Free and Open Source Unix-like Operating System Linux TM
  • FreeBSD TM Open Source Unix-like Operating System
  • a non-volatile computer-readable storage medium such as memory 1932 comprising computer program instructions executable by processing component 1922 of electronic device 1900 to perform the above-described method.
  • the present disclosure may be a system, method and/or computer program product.
  • the computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of the present disclosure.
  • a computer-readable storage medium may be a tangible device that can hold and store instructions for use by the instruction execution device.
  • the computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing.
  • Non-exhaustive list of computer readable storage media include: portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM) or flash memory), static random access memory (SRAM), portable compact disk read only memory (CD-ROM), digital versatile disk (DVD), memory sticks, floppy disks, mechanically coded devices, such as printers with instructions stored thereon Hole cards or raised structures in grooves, and any suitable combination of the above.
  • RAM random access memory
  • ROM read only memory
  • EPROM erasable programmable read only memory
  • flash memory static random access memory
  • SRAM static random access memory
  • CD-ROM compact disk read only memory
  • DVD digital versatile disk
  • memory sticks floppy disks
  • mechanically coded devices such as printers with instructions stored thereon Hole cards or raised structures in grooves, and any suitable combination of the above.
  • Computer-readable storage media are not to be construed as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (eg, light pulses through fiber optic cables), or through electrical wires transmitted electrical signals.
  • the computer readable program instructions described herein may be downloaded to various computing/processing devices from a computer readable storage medium, or to an external computer or external storage device over a network, such as the Internet, a local area network, a wide area network, and/or a wireless network.
  • the network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers.
  • a network adapter card or network interface in each computing/processing device receives computer-readable program instructions from a network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing/processing device .
  • Computer program instructions for carrying out operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or instructions in one or more programming languages.
  • Source or object code written in any combination, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as the "C" language or similar programming languages.
  • the computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server implement.
  • the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider through the Internet connect).
  • LAN local area network
  • WAN wide area network
  • custom electronic circuits such as programmable logic circuits, field programmable gate arrays (FPGAs), or programmable logic arrays (PLAs) can be personalized by utilizing state information of computer readable program instructions.
  • Computer readable program instructions are executed to implement various aspects of the present disclosure.
  • These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer or other programmable data processing apparatus to produce a machine that causes the instructions when executed by the processor of the computer or other programmable data processing apparatus , resulting in means for implementing the functions/acts specified in one or more blocks of the flowchart and/or block diagrams.
  • These computer readable program instructions can also be stored in a computer readable storage medium, these instructions cause a computer, programmable data processing apparatus and/or other equipment to operate in a specific manner, so that the computer readable medium storing the instructions includes An article of manufacture comprising instructions for implementing various aspects of the functions/acts specified in one or more blocks of the flowchart and/or block diagrams.
  • Computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other equipment to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other equipment to produce a computer-implemented process , thereby causing instructions executing on a computer, other programmable data processing apparatus, or other device to implement the functions/acts specified in one or more blocks of the flowchart and/or block diagrams.
  • each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more functions for implementing the specified logical function(s) executable instructions.
  • the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
  • each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations can be implemented in dedicated hardware-based systems that perform the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.
  • the computer program product can be specifically implemented by hardware, software or a combination thereof.
  • the computer program product is embodied as a computer storage medium, and in another optional embodiment, the computer program product is embodied as a software product, such as a software development kit (Software Development Kit, SDK), etc. Wait.
  • a software development kit Software Development Kit, SDK

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Abstract

一种驾驶员行为检测的报警阈值调整方法及装置、电子设备和存储介质，方法包括：接收误报警反馈信息，误报警反馈信息用于指示基于驾驶员的第一行为检测结果发生错误报警；获取驾驶员的第一行为检测结果；根据误报警反馈信息，调整与驾驶员的第一行为检测结果对应的报警参数阈值。通过对报警参数阈值进行调整，可以改善驾驶行为的检测精度，减少错误报警的发生，提升驾驶员的驾驶体验。

Description

报警阈值调整方法及装置、电子设备和存储介质 技术领域
本公开涉及智能驾驶技术领域，尤其涉及一种驾驶员行为检测的报警阈值调整方法及装置、电子设备和存储介质。
背景技术
驾驶员监控系统(Driver Monitoring System，DMS)可以通过对准驾驶员面部的摄像头采集的图像，识别驾驶员的驾驶状态。当识别到驾驶员存在诸如分心、疲劳或者打电话、喝水、吸烟等危险行为时，可以进行实时告警，确保驾驶员的安全驾驶。
发明内容
本公开提出了一种驾驶员行为检测的报警阈值调整技术方案。
根据本公开的一方面，提供了一种驾驶员行为检测的报警阈值调整方法，包括：接收误报警反馈信息，所述误报警反馈信息用于指示基于驾驶员的第一行为检测结果发生错误报警；获取所述驾驶员的第一行为检测结果；根据所述误报警反馈信息，调整与驾驶员的第一行为检测结果对应的报警参数阈值。
在一个或多个可能的实现方式中，所述根据所述误报警反馈信息，调整驾驶员的第一行为检测结果对应的行为类别的报警参数阈值，包括：响应于所述误报警反馈信息，发出第一提示信息，所述第一提示信息用于提示用户调整所述驾驶员的第一行为检测结果对应的报警参数阈值；响应于接收到用户根据所述第一提示信息发送的报警参数阈值调整指令，调整所述驾驶员的第一行为检测结果对应的报警参数阈值。
在一个或多个可能的实现方式中，所述方法还包括：确定所述驾驶员的第一行为检测结果对应的行为类别；所述调整与驾驶员的第一行为检测结果对应的报警参数阈值，包括：调整与驾驶员的第一行为检测结果对应的行为类别的报警参数阈值。
在一个或多个可能的实现方式中，所述调整与驾驶员的第一行为检测结果对应的报警参数阈值，包括：以预设的调节步长增加或减小与驾驶员的第一行为检测结果对应的报警参数阈值。
在一个或多个可能的实现方式中，所述方法还包括：识别所述错误报警的类型，其中，所述错误报警的类型包括以下至少一种：将第一危险驾驶行为误报警为所述第二危险驾驶行为，所述第一危险驾驶行为和所述第二危险驾驶行为对应的行为类别不同；在未发生所述危险驾驶行为的情况下发出报警。
在一个或多个可能的实现方式中，接收误报警反馈信息之后，还包括：获取触发所述错误报警的第一视频数据，所述第一视频数据包括驾驶员执行预设行为的视频数据；将所述第一视频数据保存至错误报警视频库中。
在一个或多个可能的实现方式中，所述获取触发所述错误报警的第一视频数据，包括：获取接收到所述误报警反馈信息之前的预设时间段内的所述第一视频数据；或者获取用户在发出所述误报警反馈信息之前提交的所述第一视频数据。
在一个或多个可能的实现方式中，在调整与驾驶员的第一行为检测结果对应的报警参数阈值之后，所述方法还包括：获取第二视频数据，所述第二视频数据包括驾驶员执行所述预设行为的视频数据；基于所述第二视频数据以及调整后的所述报警参数阈值进行驾驶行为检测得到第二行为检测结果；在接收到针对所述第二行为检测结果的误报警反馈信息的情况下，调整与所述第二行为检测结果对应的报警参数阈值。
在一个或多个可能的实现方式中，还包括：读取至少一个预设类别的驾驶行为对应的报警参数阈值；所述获取所述驾驶员的第一行为检测结果，包括：确定所述驾驶员的驾驶行为所属的目标预设类别；基于所述目标预设类别的驾驶行为对应的报警参数阈值确定所述驾驶员的第一行为检测结果。
在一个或多个可能的实现方式中，所述调整与驾驶员的第一行为检测结果对应的报警参数阈值，包括：调整与所述目标预设类别的驾驶行为对应的报警参数阈值；所述方法还包括：保存调整后的所述目标预设类别的驾驶行为对应的报警参数阈值。
在一个或多个可能的实现方式中，所述预设类别的驾驶行为包括以下至少一项：打哈欠行为、眼部闭合行为和头部偏转行为；其中，所述打哈欠行为对应的报警参数阈值包括嘴部张开幅度阈值和打哈欠时长阈值中的至少一项；所述眼部闭合行为对应的报警参数阈值包括眼部闭合幅度阈值和眼部闭合时长阈值中的至少一项；所述头部偏转行为对应的报警参数阈值包括头部姿态偏转角阈值。
根据本公开的一方面，提供了一种驾驶员行为检测的报警阈值调整装置，包括：接收模块，用于接收误报警反馈信息，所述误报警反馈信息用于指示基于驾驶员的第一行为检测结果发生错误报警；获取模块，用于获取所述驾驶员的第一行为检测结果；调整模块，用于根据所述误报警反馈信息，调整与驾驶员的第一行为检测结果对应的报警参数阈值。
在一个或多个可能的实现方式中，所述调整模块，用于响应于所述误报警反馈信息，发出第一提示信息，所述第一提示信息用于提示用户调整所述驾驶员的第一行为检测结果对应的报警参数阈值；响应于接收到用户根据所述第一提示信息发送的报警参数阈值调整指令，调整所述驾驶员的第一行为检测结果对应的报警参数阈值。
在一个或多个可能的实现方式中，所述装置还包括：确定模块，用于确定所述驾驶员的第一行为检测结果对应的行为类别；所述调整模块，用于调整与驾驶员的第一行为检测结果对应的行为类别的报警参数阈值。
在一个或多个可能的实现方式中，所述调整模块，用于以预设的调节步长增加或减小与驾驶员的第一行为检测结果对应的报警参数阈值。
在一个或多个可能的实现方式中，所述装置还包括：识别模块，用于识别所述错误报警的类型，其中，所述错误报警的类型包括以下至少一种：将第一危险驾驶行为误报警为所述第二危险驾驶行为，所述第一危险驾驶行为和所述第二危险驾驶行为对应的行为类别不同；在未发生所述危险驾驶行为的情况下发出报警。
在一个或多个可能的实现方式中，还包括：保存模块，用于获取触发所述错误报警 的第一视频数据，所述第一视频数据包括驾驶员执行预设行为的视频数据；将所述第一视频数据保存至错误报警视频库中。
在一个或多个可能的实现方式中，所述保存模块，用于：获取接收到所述误报警反馈信息之前的预设时间段内的所述第一视频数据；或者获取用户在发出所述误报警反馈信息之前提交的所述第一视频数据。
在一个或多个可能的实现方式中，所述调整模块，还用于在调整与驾驶员的第一行为检测结果对应的报警参数阈值之后，获取第二视频数据，所述第二视频数据包括驾驶员执行所述预设行为的视频数据；基于所述第二视频数据以及调整后的所述报警参数阈值进行驾驶行为检测得到第二行为检测结果；在接收到针对所述第二行为检测结果的误报警反馈信息的情况下，调整与所述第二行为检测结果对应的报警参数阈值。
在一个或多个可能的实现方式中，还包括：读取模块，用于读取至少一个预设类别的驾驶行为对应的报警参数阈值；所述获取模块，用于确定所述驾驶员的驾驶行为所属的目标预设类别；基于所述目标预设类别的驾驶行为对应的报警参数阈值确定所述驾驶员的第一行为检测结果。
在一个或多个可能的实现方式中，所述调整模块，用于调整与所述目标预设类别的驾驶行为对应的报警参数阈值；所述装置还包括：保存模块，用于保存调整后的所述目标预设类别的驾驶行为对应的报警参数阈值。
在一个或多个可能的实现方式中，所述预设类别的驾驶行为包括以下至少一项：打哈欠行为、眼部闭合行为和头部偏转行为；其中，所述打哈欠行为对应的报警参数阈值包括嘴部张开幅度阈值和打哈欠时长阈值中的至少一项；所述眼部闭合行为对应的报警参数阈值包括眼部闭合幅度阈值和眼部闭合时长阈值中的至少一项；所述头部偏转行为对应的报警参数阈值包括头部姿态偏转角阈值。
根据本公开的一方面，提供了一种电子设备，包括：处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为调用所述存储器存储的指令，以执行上述方法。
根据本公开的一方面，提供了一种计算机可读存储介质，其上存储有计算机程序指令，所述计算机程序指令被处理器执行时实现上述方法。
根据本公开的一方面，提供了一种计算机程序，包括计算机可读代码，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行上述方法。
在本公开实施例中，可以接收误报警反馈信息，误报警反馈信息可以用于指示基于驾驶员的第一行为检测结果发生错误报警，然后获取该驾驶员的第一行为检测结果，并根据误报警反馈信息，调整与驾驶员的第一行为检测结果对应的报警参数阈值。这样，通过对报警参数阈值进行调整，可以改善驾驶行为的检测精度，减少错误报警的发生，提升驾驶员的驾驶体验。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，而非限制本公开。根据下面参考附图对示例性实施例的详细说明，本公开的其它特征及方面将 变得清楚。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，这些附图示出了符合本公开的实施例，并与说明书一起用于说明本公开的技术方案。
图1示出根据本公开实施例的驾驶员行为检测的报警阈值调整方法的流程图。
图2示出根据本公开实施例的驾驶员行为检测的报警阈值调整方法一示例的流程图。
图3示出根据本公开实施例的驾驶员行为检测的报警阈值调整装置的框图。
图4示出根据本公开实施例的一种电子设备一示例的框图。
图5示出根据本公开实施例的一种电子设备一示例的框图。
具体实施方式
以下将参考附图详细说明本公开的各种示例性实施例、特征和方面。附图中相同的附图标记表示功能相同或相似的元件。尽管在附图中示出了实施例的各种方面，但是除非特别指出，不必按比例绘制附图。
在这里专用的词“示例性”意为“用作例子、实施例或说明性”。这里作为“示例性”所说明的任何实施例不必解释为优于或好于其它实施例。
本文中术语“和/或”，是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中术语“至少一种”表示多种中的任意一种或多种中的至少两种的任意组合，例如，包括A、B、C中的至少一种，可以表示包括从A、B和C构成的集合中选择的任意一个或多个元素。
另外，为了更好地说明本公开，在下文的具体实施方式中给出了众多的具体细节。本领域技术人员应当理解，没有某些具体细节，本公开同样可以实施。在一些实例中，对于本领域技术人员熟知的方法、手段、元件和电路未作详细描述，以便于凸显本公开的主旨。
在相关方案中，在检测到驾驶员疲劳或者发生打电话、喝水、吸烟等危险行为的情况下，可以发出报警，用于提醒驾驶员安全驾驶。但是，由于驾驶员的个体差异、驾驶行为检测精度、相关报警参数阈值的设置不合理等因素，会出现错误报警的情况。而对于错误报警的情况，通常是通过后期反馈给各个生产厂家，由生成厂家对DMS系统进行完善，难以满足驾驶员的需求。
本公开实施例提供的驾驶员行为检测的报警阈值调整方案，可以应用于DMS系统、自动驾驶或辅助驾驶系统、城市交通、交通出行等场景中。例如，在DMS系统将驾驶员的大笑行为错误报警成打哈欠的疲劳行为，驾驶员可以按下错误报警按钮，DMS系统可以通过调高打哈欠行为的报警参数阈值将大笑行为归为正常驾驶行为，从而可以改善DMS系统发生错误报警的情况，提升驾驶员的驾驶体验。一些实现方式中，还可以将调整后的报警参数阈值和视频数据保存到本地或云端，以方便后续的再次使用和比较。
本公开实施例提供的驾驶员行为检测的报警阈值调整方法可以由终端设备、服务器或其它类型的电子设备执行，其中，终端设备可以为用户设备(User Equipment，UE)、移动设备、用户终端、终端、蜂窝电话、无绳电话、个人数字助理(Personal Digital Assistant，PDA)、手持设备、计算设备、车载设备、可穿戴设备等。在一些可能的实现方式中，该驾驶员行为检测的报警阈值调整方法可以通过处理器调用存储器中存储的计算机可读指令的方式来实现。或者，可通过服务器执行所述方法。
图1示出根据本公开实施例的驾驶员行为检测的报警阈值调整方法的流程图，如图1所示，所述驾驶员行为检测的报警阈值调整方法包括：
步骤S11，接收误报警反馈信息。
在本公开实施例中，电子设备可以接收误报警反馈信息，误报警反馈信息可以用于指示基于驾驶员的第一行为检测结果发生错误报警。在驾驶员驾驶车辆的过程中，可以获取针对驾驶员采集的第一视频数据，并基于第一视频数据对驾驶员的驾驶行为进行检测，得到第一行为检测结果。第一行为检测结果可以包括驾驶行为的行为类别、行为参数、是否是危险驾驶行为等信息。危险驾驶行为可以是驾驶员在驾驶过程中进行的一些影响驾驶安全的行为，例如，打哈欠行为、眼部闭合行为等均可以认为是危险驾驶行为。在第一行为检测结果是危险驾驶行为的情况下，可以发出报警。如果该报警是错误报警，即在该报警有误的情况下，用户(如驾驶员)可以通过执行预设操作向电子设备反馈该错误报警，如可以通过按压错误报警按钮的预测操作向电子设备反馈该错误报警。一些实现方式中，用户(如驾驶员)还可以通过预设语音或预设手势等方式向电子设备反馈该错误报警。本公开不对具体的误报警反馈信息触发方式进行限制。
在一些实现方式中，在接收到误报警反馈信息之后，还可以识别错误报警的类型，例如，误报警反馈信息中可以携带识别错误报警的类型，根据误报警反馈信息可以识别错误报警的类型。错误报警的类型可以根据报警内容错误、报警时间错误等具体情况预先定义。可选地，这里，错误报警的类型可以包括以下至少一种：将第一危险驾驶行为误报警为第二危险驾驶行为，第一危险驾驶行为和第二危险驾驶行为对应的行为类别不同。在未发生危险驾驶行为的情况下发出报警。举例来说，将闭眼行为(第一危险驾驶行为)误报警为打哈欠行为(第二危险驾驶行为)。或者，在将驾驶员的正常驾驶的情况下发出报警(即在未发生危险驾驶行为的情况下发出报警)。危险驾驶行为包括但不限于闭眼行为、打哈欠行为、吸烟行为、喝水行为、打电话行为中的一种或多种。通过识别错误报警的类型，可以进一步针对错误报警的类型进行分析，为驾驶员行为检测的报警功能的完善提供有效信息。
步骤S12，获取所述驾驶员的第一行为检测结果。
在本公开实施例中，接收到误报警反馈信息之后，可以获取驾驶员的第一行为检测结果。例如，可以根据误报警反馈信息的接收时间，确定发生的错误报警，如可以将在误报警反馈信息的接收时间之前，最新发出的报警确定为发生的错误报警。然后可以根据错误报警获取触发该错误报警的驾驶员的第一行为检测结果。该第一行为检测结果可 以是基于发出错误报警前驾驶员的视频数据进行行为检测得到的。在一些实现方式中，危险驾驶行为的报警中可以携带有危险驾驶行为的行为检测结果，相应地，在确定触发误报警反馈信息的错误报警之后，可以在误报警反馈信息中提取驾驶员的第一行为检测结果。一些实现方式中，在检测到驾驶员存在危机驾驶行为之后，可以将驾驶员的行为检测结果和报警进行记录，相应地，在确定触发误报警反馈信息的错误报警之后，可以在保存的记录中获取与该错误报警一同记录的第一行为检测结果。
步骤S13，根据所述误报警反馈信息，调整与驾驶员的第一行为检测结果对应的报警参数阈值。
在本公开实施例中，危险驾驶行为可以对应一个或多个报警参数阈值。在检测到驾驶员的某种驾驶行为的行为参数达到相应的报警参数阈值的情况下，可以认为驾驶员的驾驶行为是危险驾驶行为，则发出报警。行为参数可以用于表征驾驶行为的参数，例如，打哈欠行为的行为参数可以包括嘴部张开幅度以及打哈欠时长中的至少一项，眼部闭合行为的行为参数可以包括眼部闭合幅度以及眼部闭合时长中的至少一项，头部偏转行为的行为参数可以包括头部姿态偏转角。这里，由于误报警反馈信息指示基于第一行为检测结果发生错误报警，则可以认为第一行为检测结果对应的报警参数阈值设置的不够合理，从而可以针对第一行为检测结果对应的报警参数阈值进行调整，如增大或减小第一行为检测结果对应的报警参数阈值。
这里，嘴部张开幅度可以是嘴部的高度和宽度的比值。打哈欠时长可以是嘴部张开幅度达到嘴部张开幅度阈值的时长。眼部闭合幅度可以是眼部的高度和宽度的比值。眼部闭合时长可以是一个统计周期内眼部闭合幅度小于眼部闭合幅度阈值的累计时长。头部姿态偏转角可以包括航向角yaw、俯仰角pitch和横滚角roll中的至少一个。
在一些实现方式中，响应于误报警反馈信息，发出第一提示信息，第一提示信息用于提示用户调整驾驶员的第一行为检测结果对应的报警参数阈值。第一提示信息的展示方式可以包括语音提示、界面展示等多种形式。例如，响应于误报警反馈信息，电子设备可以通过语音提示的形式提示用于调整第一行为检测结果对应的报警参数阈值，或者，电子设备可以通过界面弹出第一提示信息，或者，直接在界面上展示报警参数阈值的设置页面。用户可以根据第一提示信息对第一行为检测结果对应的报警参数阈值进行调整，例如，可以通过语音向电子设备发出报警参数阈值调整指令，或者，可以通过在界面的设置页面上手动修改第一行为检测结果对应的报警参数阈值的方式，向电子设备发出报警参数阈值调整指令。电子设备响应于接收到用户根据第一提示信息发送的报警参数阈值调整指令，调整驾驶员的第一行为检测结果对应的报警参数阈值。这样，可以根据用户需求调整第一行为检测结果对应的报警参数阈值，满足用户对报警参数阈值的灵活设置的需求。这里，用户与驾驶员可以相同，从而发生错误报警的情况下，驾驶员可以及时对报警参数阈值进行调整。一些实现方式中，用户与驾驶员也可以不同，例如，用户可以是对报警参数阈值具有调整权限的用户，从而驾驶员无需自行修改报警参数阈值即可以实现报警参数阈值的及时调整，提高驾驶安全。
在一些实现方式中，还可以确定驾驶员的第一行为检测结果对应的行为类别，在调整与驾驶员的第一行为检测结果对应的报警参数阈值的情况下，可以调整与驾驶员的第一行为检测结果对应的行为类别的报警参数阈值。
本公开实施例中，驾驶员的驾驶行为可以包括多种行为类别，电子设备可以针对预设类别的驾驶行为进行报警，预设类别的驾驶行为可以是危险驾驶行为。这里，根据驾驶行为的行为类别的不同，相应的报警参数阈值也可以不同。从而在接收到上述误报警反馈信息的情况下，可以先确定驾驶员的第一行为检测结果对应的行为类别，再调整与驾驶员的第一检测结果对应的行为类别的报警参数阈值进行调整。这样，可以实现对报警参数阈值的自动调整，并且，可以针对特定行为类别的报警参数阈值进行有针对性的调整，提高报警参数阈值调整的精度。
在一个示例中，预设类别的驾驶行为包括以下至少一项：打哈欠行为、眼部闭合行为和头部偏转行为。这里，打哈欠行为对应的报警参数阈值包括嘴部张开幅度阈值和打哈欠时长阈值中的至少一项。眼部闭合行为对应的报警参数阈值包括眼部闭合幅度阈值和眼部闭合时长阈值中的至少一项。头部偏转行为对应的报警参数阈值包括头部姿态偏转角阈值。
在一些实现方式中，在调整与驾驶员的第一行为检测结果对应的报警参数阈值时，可以以预设的调整步长增加或减小与驾驶员的第一行为检测结果对应的报警参数阈值。
这里，预设的调整步长可以根据实际应用场景进行设置，本公开不对此进行限制。一些实现方式中，可以分别为每种行为类别的报警参数阈值设置对应的调整步长。例如，在第一行为检测结果包括打哈欠行为，报警参数阈值是嘴部张开幅度阈值的情况下，嘴部张开幅度阈值的调整步长可以设置为0.1、0.2等数值。在报警参数阈值是打哈欠时长阈值的情况下，打哈欠时长阈值的调整步长可以设置为0.5s、1s等数值。通过以预设的调整步长增加或减小与驾驶员的第一行为检测结果对应的报警参数阈值，可以使报警参数阈值的调整幅度在合理的范围内，调整后的报警参数阈值不至于过大或过小，实现精准调节。
本公开实施例可以在驾驶行为发生错误报警的情况下，针对驾驶行为对应的报警参数阈值进行调节，从而可以减少错误报警情况的发生。在一些实现方式中，在接收误报警反馈信息之后，还可以获取触发错误报警的第一视频数据，例如，可以根据错误报警的报警时间，截取错误报警的报警时间所在的预设时间段内的视频数据作为第一视频数据，如截取报警时间前后10s的视频数据作为第一视频数据，第一视频数据包括驾驶员执行预设行为的视频数据，然后将第一视频数据保存至错误报警视频库中。或者，可以获取接收到所述误报警反馈信息之前的预设时间段内的所述第一视频数据。又或者，可以获取用户在发出所述误报警反馈信息之前提交的所述第一视频数据，例如，在实际场景中，用户在回看触发报警的录像信息时选择录像中的一个视频片段作为触发错误报警的第一视频数据进行上传，通过获取用户选择上传的数据可以更准确地定位出错误报警发生时的驾驶员的视频数据。这样，可以针对触发错误报警的第一视频数据进行保存，可 供后续错误报警分析或报警结果的二次核验使用。这里，错误报警视频库可以在本地存储设备中，一些实现方式中，错误报警视频库也可以在云端服务器中，本公开不对此进行限制。预设行为可以是驾驶员执行的任意行为。
在一些实现方式中，在调整与驾驶员的第一行为检测结果对应的报警参数阈值之后，可以获取第二视频数据，第二视频数据可以包括驾驶员执行上述预设行为的视频数据，即在调整与驾驶员的第一行为检测结果对应的报警参数阈值之后，驾驶员可以重复上述预设行为，电子设备可以获取驾驶员重复执行上述预设行为的第二视频数据。基于该第二视频数据以及调整后的报警参数阈值，可以进行驾驶行为检测得到第二行为检测结果。第二行为检测结果可以包括驾驶行为的行为类别、行为参数、是否是危险驾驶行为等信息。在第二行为检测结果是危险驾驶行为的情况下，可以发出报警。在接收到针对第二行为检测结果的误报警反馈信息的情况下，可以认为驾驶员再次做出上述预设行为的情况下，发出的报警还是错误报警，从而可以进一步调整与第二行为检测结果对应的报警参数阈值，直到驾驶员再次做相同的预设行为不再发出错误报警为止。这样，可以不断对报警参数阈值进行调整，满足用户需求。
在上述步骤S11中，可以接收误报反馈信息。在一些实现方式中，在接收误报警反馈信息之后，还可以读取至少一个预设类别的驾驶行为对应的报警参数阈值。例如，可以在本地存储设备中读取至少一个预设类别的驾驶行为对应的报警参数阈值，至少一个预设类别的驾驶行为对应的报警参数阈值可以是上次调整后保存在本地存储设备中的。或者，还可以在云端服务器发送的阈值配置信息中读取至少一个预设类别的驾驶行为对应的报警参数阈值，电子设备可以将针对驾驶员面部采集的人脸图像上传至云端服务器，云端服务器可以对驾驶员的人脸图像进行识别，根据识别结果查找保存的该驾驶员的至少一个预设类别的驾驶行为对应的报警参数阈值，然后将至少一个预设类别的驾驶行为对应的报警参数阈值携带在阈值配置信息发送给电子设备。
进一步地，在获取驾驶员的第一行为检测结果时，可以先确定驾驶员的驾驶行为所属的目标预设类别，然后基于目标预设类别的驾驶行为对应的报警参数阈值确定驾驶员的第一行为检测结果。例如，可以利用驾驶行为识别算法、经过训练的驾驶员行为检测神经网络等，根据第一视频数据对驾驶员的驾驶行为进行检测，确定驾驶员的驾驶行为所属的目标预设类别，然后再将驾驶员的驾驶行为的行为参数与目标预设类别的驾驶行为对应的报警参数阈值进行比对，判断驾驶员的驾驶行为是否为危险驾驶行为，得到第一行为检测结果。这样，在接收到误报警反馈信息的情况下，可以读取之前调整完成的至少一个预设类别的驾驶行为对应的报警参数阈值，实现报警参数阈值的个性化配置。
在一些实现方式中，可以进一步调整与目标预设类别的驾驶行为对应的报警参数阈值，然后保存调整后的目标预设类别的驾驶行为对应的报警参数阈值。例如，可以将调整后的目标预设类别的驾驶行为对应的报警参数阈值保存在本地存储设备中，或者，将调整后的目标预设类别的驾驶行为对应的报警参数阈值上传至云端服务器，以供下次再发生目标预设类别的驾驶行为的错误报警时，可以调用保存的该报警参数阈值，减少错 误报警的再次发生。
本公开实施例提供的方案，通过报警参数阈值调节机制可以在发生错误报警时实现报警参数阈值的修正与记录，减少错误报警的发生。同时也可以将触发错误报警的视频数据进行保存，以方便后续进一步的优化，减少开发人员采集训练数据的时间和成本精力。
下面通过一个示例对本公开实施例提供的驾驶员行为检测的报警阈值调整方案进行说明。图2示出根据本公开实施例的驾驶员行为检测的报警阈值调整方法的一个示例的流程图。
S21，获取驾驶员大笑的第一视频数据；
这里，在车辆A柱、仪表盘、中控台等一个或多个区域可以安装有DMS摄像头，从而可以确保摄像头可以准确识别到驾驶员的人脸信息和驾驶行为，且不会受到方向盘等障碍物遮挡及反光等影响。
S22，对第一视频数据进行驾驶行为检测，得到驾驶员的第一行为检测结果，第一行为检测结果是打哈欠的危险驾驶行为，发出报警。
S23，接收用于指示第一行为检测结果发生错误报警的误报警反馈信息。
S24，将第一视频数据保存至错误报警视频库中。
S25，根据误报警反馈信息，调整打哈欠行为对应的报警参数阈值。
S26，获取驾驶员大笑的第二视频数据。
S27，判断针对第二视频数据的第二行为检测结果是否发生错误报警。如果针对第二视频数据的第二行为检测结果发生错误报警，则返回S25；否则执行S28。
S28，记录并保存调节完成后的打哈欠行为对应的报警参数阈值。
可以理解，在上述示例性流程中，每一次调整报警参数阈值之后，可以保存调整后的报警参数阈值至缓存中，若基于调整后的报警参数阈值仍然发生相同的错误报警，则可以在调整后的报警参数阈值的基础上继续调整。重复上述调整报警参数阈值的过程直到对同类的驾驶员行为不再发出报警，这时将调整后的报警参数阈值持久化地存储至内存中。
可以理解，本公开提及的上述各个方法实施例，在不违背原理逻辑的情况下，均可以彼此相互结合形成结合后的实施例，限于篇幅，本公开不再赘述。本领域技术人员可以理解，在具体实施方式的上述方法中，各步骤的具体执行顺序应当以其功能和可能的内在逻辑确定。
此外，本公开还提供了驾驶员行为检测的报警阈值调整装置、电子设备、计算机可读存储介质、程序，上述均可用来实现本公开提供的任一种驾驶员行为检测的报警阈值调整方法，相应技术方案和描述和参见方法部分的相应记载，不再赘述。
图3示出根据本公开实施例的驾驶员行为检测的报警阈值调整装置的框图，如图3所示，所述装置包括：
接收模块31，用于接收误报警反馈信息，所述误报警反馈信息用于指示基于驾驶员 的第一行为检测结果发生错误报警；
获取模块32，用于获取所述驾驶员的第一行为检测结果；
调整模块33，用于根据所述误报警反馈信息，调整与驾驶员的第一行为检测结果对应的报警参数阈值。
在一些实现方式中，所述调整模块33，用于响应于所述误报警反馈信息，发出第一提示信息，所述第一提示信息用于提示用户调整所述驾驶员的第一行为检测结果对应的报警参数阈值；响应于接收到用户根据所述第一提示信息发送的报警参数阈值调整指令，调整所述驾驶员的第一行为检测结果对应的报警参数阈值。
在一些实现方式中，所述装置还包括：确定模块，用于确定所述驾驶员的第一行为检测结果对应的行为类别；所述调整模块，用于调整与驾驶员的第一行为检测结果对应的行为类别的报警参数阈值。
在一些实现方式中，所述调整模块33，用于以预设的调节步长增加或减小与驾驶员的第一行为检测结果对应的报警参数阈值。
在一些实现方式中，所述装置还包括：识别模块，用于识别所述错误报警的类型，其中，所述错误报警的类型包括以下至少一种：将第一危险驾驶行为误报警为所述第二危险驾驶行为，所述第一危险驾驶行为和所述第二危险驾驶行为对应的行为类别不同；在未发生所述危险驾驶行为的情况下发出报警。
在一些实现方式中，还包括：保存模块，用于获取触发所述错误报警的第一视频数据，所述第一视频数据包括驾驶员执行预设行为的视频数据；将所述第一视频数据保存至错误报警视频库中。
在一些实现方式中，保存模块，用于：获取接收到所述误报警反馈信息之前的预设时间段内的所述第一视频数据；或者获取用户在发出所述误报警反馈信息之前提交的所述第一视频数据。
在一些实现方式中，所述调整模块33，还用于在调整与驾驶员的第一行为检测结果对应的报警参数阈值之后，获取第二视频数据，所述第二视频数据包括驾驶员执行所述预设行为的视频数据；基于所述第二视频数据以及调整后的所述报警参数阈值进行驾驶行为检测得到第二行为检测结果；在接收到针对所述第二行为检测结果的误报警反馈信息的情况下，调整与所述第二行为检测结果对应的报警参数阈值。
在一些实现方式中，还包括：读取模块，用于读取至少一个预设类别的驾驶行为对应的报警参数阈值；所述获取模块32，用于确定所述驾驶员的驾驶行为所属的目标预设类别；基于所述目标预设类别的驾驶行为对应的报警参数阈值确定所述驾驶员的第一行为检测结果。
在一些实现方式中，所述调整模块33，用于调整与所述目标预设类别的驾驶行为对应的报警参数阈值；所述装置还包括：保存模块，用于保存调整后的所述目标预设类别的驾驶行为对应的报警参数阈值。
在一些实现方式中，所述预设类别的驾驶行为包括以下至少一项：打哈欠行为、眼 部闭合行为和头部偏转行为；其中，所述打哈欠行为对应的报警参数阈值包括嘴部张开幅度阈值和打哈欠时长阈值中的至少一项；所述眼部闭合行为对应的报警参数阈值包括眼部闭合幅度阈值和眼部闭合时长阈值中的至少一项；所述头部偏转行为对应的报警参数阈值包括头部姿态偏转角阈值。
在一些实施例中，本公开实施例提供的装置具有的功能或包含的模块可以用于执行上文方法实施例描述的方法，其具体实现可以参照上文方法实施例的描述，为了简洁，这里不再赘述。
本公开实施例还提出一种计算机可读存储介质，其上存储有计算机程序指令，所述计算机程序指令被处理器执行时实现上述方法。计算机可读存储介质可以是非易失性计算机可读存储介质。
本公开实施例还提出一种电子设备，包括：处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为调用所述存储器存储的指令，以执行上述方法。
本公开实施例还提供了一种计算机程序产品，包括计算机可读代码，当计算机可读代码在设备上运行时，设备中的处理器执行用于实现如上任一实施例提供的驾驶员行为检测的报警阈值调整方法的指令。
本公开实施例还提供了另一种计算机程序产品，用于存储计算机可读指令，指令被执行时使得计算机执行上述任一实施例提供的驾驶员行为检测的报警阈值调整方法的操作。
本公开实施例还提供了一种计算机程序，包括计算机可读代码，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行上述方法。
电子设备可以被提供为终端、服务器或其它形态的设备。
图4示出根据本公开实施例的一种电子设备800的框图。例如，电子设备800可以是移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等终端。
参照图4，电子设备800可以包括以下一个或多个组件：处理组件802，存储器804，电源组件806，多媒体组件808，音频组件810，输入/输出(I/O)的接口812，传感器组件814，以及通信组件816。
处理组件802通常控制电子设备800的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件802可以包括一个或多个处理器820来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件802可以包括一个或多个模块，便于处理组件802和其他组件之间的交互。例如，处理组件802可以包括多媒体模块，以方便多媒体组件808和处理组件802之间的交互。
存储器804被配置为存储各种类型的数据以支持在电子设备800的操作。这些数据的示例包括用于在电子设备800上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器804可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器 (EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件806为电子设备800的各种组件提供电力。电源组件806可以包括电源管理系统，一个或多个电源，及其他与为电子设备800生成、管理和分配电力相关联的组件。
多媒体组件808包括在所述电子设备800和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动行为的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件808包括一个前置摄像头和/或后置摄像头。当电子设备800处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件810被配置为输出和/或输入音频信号。例如，音频组件810包括一个麦克风(MIC)，当电子设备800处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器804或经由通信组件816发送。在一些实施例中，音频组件810还包括一个扬声器，用于输出音频信号。
I/O接口812为处理组件802和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件814包括一个或多个传感器，用于为电子设备800提供各个方面的状态评估。例如，传感器组件814可以检测到电子设备800的打开/关闭状态，组件的相对定位，例如所述组件为电子设备800的显示器和小键盘，传感器组件814还可以检测电子设备800或电子设备800一个组件的位置改变，用户与电子设备800接触的存在或不存在，电子设备800方位或加速/减速和电子设备800的温度变化。传感器组件814可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件814还可以包括光传感器，如互补金属氧化物半导体(CMOS)或电荷耦合装置(CCD)图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件814还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件816被配置为便于电子设备800和其他设备之间有线或无线方式的通信。电子设备800可以接入基于通信标准的无线网络，如无线网络(WiFi)，第二代移动通信技术(2G)或第三代移动通信技术(3G)，或它们的组合。在一个示例性实施例中，通信组件816经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件816还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB) 技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，电子设备800可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
在示例性实施例中，还提供了一种非易失性计算机可读存储介质，例如包括计算机程序指令的存储器804，上述计算机程序指令可由电子设备800的处理器820执行以完成上述方法。
图5示出根据本公开实施例的一种电子设备1900的框图。例如，电子设备1900可以被提供为一服务器。参照图5，电子设备1900包括处理组件1922，其进一步包括一个或多个处理器，以及由存储器1932所代表的存储器资源，用于存储可由处理组件1922的执行的指令，例如应用程序。存储器1932中存储的应用程序可以包括一个或一个以上的每一个对应于一组指令的模块。此外，处理组件1922被配置为执行指令，以执行上述方法。
电子设备1900还可以包括一个电源组件1926被配置为执行电子设备1900的电源管理，一个有线或无线网络接口1950被配置为将电子设备1900连接到网络，和一个输入输出(I/O)接口1958。电子设备1900可以操作基于存储在存储器1932的操作系统，例如微软服务器操作系统(Windows Server TM)，苹果公司推出的基于图形用户界面操作系统(Mac OS X TM)，多用户多进程的计算机操作系统(Unix TM),自由和开放原代码的类Unix操作系统(Linux TM)，开放原代码的类Unix操作系统(FreeBSD TM)或类似。
在示例性实施例中，还提供了一种非易失性计算机可读存储介质，例如包括计算机程序指令的存储器1932，上述计算机程序指令可由电子设备1900的处理组件1922执行以完成上述方法。
本公开可以是系统、方法和/或计算机程序产品。计算机程序产品可以包括计算机可读存储介质，其上载有用于使处理器实现本公开的各个方面的计算机可读程序指令。
计算机可读存储介质可以是可以保持和存储由指令执行设备使用的指令的有形设备。计算机可读存储介质例如可以是――但不限于――电存储设备、磁存储设备、光存储设备、电磁存储设备、半导体存储设备或者上述的任意合适的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、静态随机存取存储器(SRAM)、便携式压缩盘只读存储器(CD-ROM)、数字多功能盘(DVD)、记忆棒、软盘、机械编码设备、例如其上存储有指令的打孔卡或凹槽内凸起结构、以及上述的任意合适的组合。这里所使用的计算机可读存储介质不被解释为瞬时信号本身，诸如无线电波或者其他自由传播的电磁波、通过波导或其他传输媒介传播的电磁波(例如，通过光纤电缆的光脉冲)、或者通过电线传输的电信号。
这里所描述的计算机可读程序指令可以从计算机可读存储介质下载到各个计算/处理设备，或者通过网络、例如因特网、局域网、广域网和/或无线网下载到外部计算机或 外部存储设备。网络可以包括铜传输电缆、光纤传输、无线传输、路由器、防火墙、交换机、网关计算机和/或边缘服务器。每个计算/处理设备中的网络适配卡或者网络接口从网络接收计算机可读程序指令，并转发该计算机可读程序指令，以供存储在各个计算/处理设备中的计算机可读存储介质中。
用于执行本公开操作的计算机程序指令可以是汇编指令、指令集架构(ISA)指令、机器指令、机器相关指令、微代码、固件指令、状态设置数据、或者以一种或多种编程语言的任意组合编写的源代码或目标代码，所述编程语言包括面向对象的编程语言—诸如Smalltalk、C++等，以及常规的过程式编程语言—诸如“C”语言或类似的编程语言。计算机可读程序指令可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络—包括局域网(LAN)或广域网(WAN)—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。在一些实施例中，通过利用计算机可读程序指令的状态信息来个性化定制电子电路，例如可编程逻辑电路、现场可编程门阵列(FPGA)或可编程逻辑阵列(PLA)，该电子电路可以执行计算机可读程序指令，从而实现本公开的各个方面。
这里参照根据本公开实施例的方法、装置(系统)和计算机程序产品的流程图和/或框图描述了本公开的各个方面。应当理解，流程图和/或框图的每个方框以及流程图和/或框图中各方框的组合，都可以由计算机可读程序指令实现。
这些计算机可读程序指令可以提供给通用计算机、专用计算机或其它可编程数据处理装置的处理器，从而生产出一种机器，使得这些指令在通过计算机或其它可编程数据处理装置的处理器执行时，产生了实现流程图和/或框图中的一个或多个方框中规定的功能/行为的装置。也可以把这些计算机可读程序指令存储在计算机可读存储介质中，这些指令使得计算机、可编程数据处理装置和/或其他设备以特定方式工作，从而，存储有指令的计算机可读介质则包括一个制造品，其包括实现流程图和/或框图中的一个或多个方框中规定的功能/行为的各个方面的指令。
也可以把计算机可读程序指令加载到计算机、其它可编程数据处理装置、或其它设备上，使得在计算机、其它可编程数据处理装置或其它设备上执行一系列操作步骤，以产生计算机实现的过程，从而使得在计算机、其它可编程数据处理装置、或其它设备上执行的指令实现流程图和/或框图中的一个或多个方框中规定的功能/行为。
附图中的流程图和框图显示了根据本公开的多个实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段或指令的一部分，所述模块、程序段或指令的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个连续的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意 的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或行为的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
该计算机程序产品可以具体通过硬件、软件或其结合的方式实现。在一个可选实施例中，所述计算机程序产品具体体现为计算机存储介质，在另一个可选实施例中，计算机程序产品具体体现为软件产品，例如软件开发包(Software Development Kit，SDK)等等。
以上已经描述了本公开的各实施例，上述说明是示例性的，并非穷尽性的，并且也不限于所披露的各实施例。在不偏离所说明的各实施例的范围和精神的情况下，对于本技术领域的普通技术人员来说许多修改和变更都是显而易见的。本文中所用术语的选择，旨在最好地解释各实施例的原理、实际应用或对市场中的技术的改进，或者使本技术领域的其它普通技术人员能理解本文披露的各实施例。

Claims (15)

  1. 一种驾驶员行为检测的报警阈值调整方法，其特征在于，包括：
    接收误报警反馈信息，所述误报警反馈信息用于指示基于驾驶员的第一行为检测结果发生错误报警；
    获取所述驾驶员的第一行为检测结果；
    根据所述误报警反馈信息，调整与驾驶员的第一行为检测结果对应的报警参数阈值。
  2. 根据权利要求1所述的方法，其特征在于，所述根据所述误报警反馈信息，调整驾驶员的第一行为检测结果对应的行为类别的报警参数阈值，包括：
    响应于所述误报警反馈信息，发出第一提示信息，所述第一提示信息用于提示用户调整所述驾驶员的第一行为检测结果对应的报警参数阈值；
    响应于接收到用户根据所述第一提示信息发送的报警参数阈值调整指令，调整所述驾驶员的第一行为检测结果对应的报警参数阈值。
  3. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    确定所述驾驶员的第一行为检测结果对应的行为类别；
    所述调整与驾驶员的第一行为检测结果对应的报警参数阈值，包括：
    调整与驾驶员的第一行为检测结果对应的行为类别的报警参数阈值。
  4. 根据权利要求1至3任一项所述的方法，其特征在于，所述调整与驾驶员的第一行为检测结果对应的报警参数阈值，包括：
    以预设的调节步长增加或减小与驾驶员的第一行为检测结果对应的报警参数阈值。
  5. 根据权利要求1至4任一项所述的方法，其特征在于，所述方法还包括：
    识别所述错误报警的类型，其中，所述错误报警的类型包括以下至少一种：
    将第一危险驾驶行为误报警为第二危险驾驶行为，所述第一危险驾驶行为和所述第二危险驾驶行为对应的行为类别不同；
    在未发生所述危险驾驶行为的情况下发出报警。
  6. 根据权利要求1至5任一项所述的方法，其特征在于，接收误报警反馈信息之后，还包括：
    获取触发所述错误报警的第一视频数据，所述第一视频数据包括驾驶员执行预设行为的视频数据；
    将所述第一视频数据保存至错误报警视频库中。
  7. 根据权利要求6所述的方法，其特征在于，所述获取触发所述错误报警的第一视频数据，包括：
    获取接收到所述误报警反馈信息之前的预设时间段内的所述第一视频数据；或者
    获取用户在发出所述误报警反馈信息之前提交的所述第一视频数据。
  8. 根据权利要求6所述的方法，其特征在于，在调整与驾驶员的第一行为检测结果对应的报警参数阈值之后，所述方法还包括：
    获取第二视频数据，所述第二视频数据包括驾驶员执行所述预设行为的视频数据；
    基于所述第二视频数据以及调整后的所述报警参数阈值进行驾驶行为检测得到第二行为检测结果；
    在接收到针对所述第二行为检测结果的误报警反馈信息的情况下，调整与所述第二行为检测结果对应的报警参数阈值。
  9. 根据权利要求1至8任一项所述的方法，其特征在于，还包括：
    读取至少一个预设类别的驾驶行为对应的报警参数阈值；所述获取所述驾驶员的第一行为检测结果，包括：
    确定所述驾驶员的驾驶行为所属的目标预设类别；
    基于所述目标预设类别的驾驶行为对应的报警参数阈值确定所述驾驶员的第一行为检测结果。
  10. 根据权利要求9所述的方法，其特征在于，
    所述调整与驾驶员的第一行为检测结果对应的报警参数阈值，包括：
    调整与所述目标预设类别的驾驶行为对应的报警参数阈值；
    所述方法还包括：
    保存调整后的所述目标预设类别的驾驶行为对应的报警参数阈值。
  11. 根据权利要求9所述的方法，其特征在于，所述预设类别的驾驶行为包括以下至少一项：打哈欠行为、眼部闭合行为和头部偏转行为；其中，
    所述打哈欠行为对应的报警参数阈值包括嘴部张开幅度阈值和打哈欠时长阈值中的至少一项；
    所述眼部闭合行为对应的报警参数阈值包括眼部闭合幅度阈值和眼部闭合时长阈值中的至少一项；
    所述头部偏转行为对应的报警参数阈值包括头部姿态偏转角阈值。
  12. 一种驾驶员行为检测的报警阈值调整装置，其特征在于，包括：
    接收模块，用于接收误报警反馈信息，所述误报警反馈信息用于指示基于驾驶员的第一行为检测结果发生错误报警；
    获取模块，用于获取所述驾驶员的第一行为检测结果；
    调整模块，用于根据所述误报警反馈信息，调整与驾驶员的第一行为检测结果对应的报警参数阈值。
  13. 一种电子设备，其特征在于，包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为调用所述存储器存储的指令，以执行权利要求1至11中任意一项所述的方法。
  14. 一种计算机可读存储介质，其上存储有计算机程序指令，其特征在于，所述计算机程序指令被处理器执行时实现权利要求1至11中任意一项所述的方法。
  15. 一种计算机程序，包括计算机可读代码，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行用于实现权利要求1-11中的任一权利要求所述的方法。
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