WO2017088360A1 - 一种关闭终端的方法及装置 - Google Patents

一种关闭终端的方法及装置 Download PDF

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Publication number
WO2017088360A1
WO2017088360A1 PCT/CN2016/082500 CN2016082500W WO2017088360A1 WO 2017088360 A1 WO2017088360 A1 WO 2017088360A1 CN 2016082500 W CN2016082500 W CN 2016082500W WO 2017088360 A1 WO2017088360 A1 WO 2017088360A1
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WO
WIPO (PCT)
Prior art keywords
image
terminal
preset
time
feature
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2016/082500
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English (en)
French (fr)
Inventor
赵俊杰
于燕
肖汉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Le Holdings Beijing Co Ltd
Leshi Zhixin Electronic Technology Tianjin Co Ltd
Original Assignee
Le Holdings Beijing Co Ltd
Leshi Zhixin Electronic Technology Tianjin Co Ltd
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Publication date
Application filed by Le Holdings Beijing Co Ltd, Leshi Zhixin Electronic Technology Tianjin Co Ltd filed Critical Le Holdings Beijing Co Ltd
Priority to US15/242,647 priority Critical patent/US20170154205A1/en
Publication of WO2017088360A1 publication Critical patent/WO2017088360A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
    • G06F1/3231—Monitoring the presence, absence or movement of users
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
    • G06F1/3215—Monitoring of peripheral devices
    • G06F1/3218—Monitoring of peripheral devices of display devices
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234—Power saving characterised by the action undertaken
    • G06F1/325—Power saving in peripheral device
    • G06F1/3265—Power saving in display device
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/4223—Cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data
    • H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV programme
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2330/00—Aspects of power supply; Aspects of display protection and defect management
    • G09G2330/02—Details of power systems and of start or stop of display operation
    • G09G2330/021—Power management, e.g. power saving
    • G09G2330/023—Power management, e.g. power saving using energy recovery or conservation
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2330/00—Aspects of power supply; Aspects of display protection and defect management
    • G09G2330/02—Details of power systems and of start or stop of display operation
    • G09G2330/027—Arrangements or methods related to powering off a display
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2354/00—Aspects of interface with display user

Definitions

  • the embodiments of the present invention relate to the field of communications technologies, and in particular, to a method and an apparatus for shutting down a terminal.
  • the terminal can have an independent operating system, and the user can install the application software provided by the third-party service provider according to the need, and the function of the terminal can be extended by the application software.
  • the terminal is usually set to start from the active terminal.
  • the terminal does not receive any operation instruction, that is, the terminal is closed, and the closed terminal includes The terminal is in a sleep state, or the terminal is in a shutdown state; wherein the preset duration is an artificially set duration.
  • the current terminal has a problem of high energy consumption.
  • the embodiment of the invention provides a method and a device for shutting down a terminal, which are used to solve the problem that the current terminal has high energy consumption.
  • An embodiment of the present invention provides a method for shutting down a terminal, including:
  • the terminal collects images in a preset range in real time
  • the terminal If the captured image is not detected in the captured image, the terminal starts a timer
  • the terminal When the duration recorded by the timer reaches a first preset duration, and the image including the face is not detected in the image collected within the duration recorded by the timer, the terminal is closed.
  • An embodiment of the present invention provides an apparatus for shutting down a terminal, including:
  • the acquisition unit is configured to collect images in a preset range in real time
  • a timer starting unit configured to start a timer if no image including a face is detected in the captured image
  • the terminal closing unit is configured to close the terminal when the duration recorded by the timer reaches a first preset duration, and when the image including the face is not detected in the image collected within the duration recorded by the timer.
  • An embodiment of the present invention provides a method and a device for shutting down a terminal.
  • the terminal collects an image in a preset range around the terminal in real time. If no image including a face image is detected in the collected image, the terminal starts a timer; The duration recorded by the timer reaches a first preset duration, and when the image including the face is not detected in the image collected within the duration recorded by the timer, the terminal is closed.
  • the terminal uses the face recognition function to detect whether the face image is included in the preset range.
  • the terminal When the face image is not detected within the first preset time period, the terminal is closed, so that the user even If the terminal is not closed, the terminal can also close the terminal by itself according to the face recognition result, thereby reducing the power consumption of the terminal and prolonging the use time and service life of the battery.
  • FIG. 2 is a flowchart of shutting down a terminal according to Embodiment 2 of the present invention.
  • FIG. 3 is a schematic structural diagram of an apparatus for shutting down a terminal according to Embodiment 3 of the present invention.
  • Embodiment 4 is a schematic structural diagram of a terminal in Embodiment 4 of the present invention.
  • the terminal is a device with communication capability, and the terminal has a user interaction interface, such as a smart TV, a personal computer, a mobile phone, a tablet computer, etc.
  • the operating system loaded in the terminal may be a Windows operating system, Android. Operating system, or ios operating system, etc.
  • a process of shutting down a terminal includes:
  • Step 100 The terminal collects images in a preset range in real time.
  • the terminal when the terminal detects that the working state of the current time meets the preset condition, the terminal collects the image in the preset range in real time.
  • the terminal detects that the working state of the current time meets the preset condition, and the method includes: the terminal acquiring the working content of the current time; and if the working content does not belong to the preset working content set, performing the real-time collecting preset a step of the image in the range, wherein the element included in the work content set is a value preset according to a specific application scenario, such as a work content set including an element such as video play; and/or, the terminal acquires the last time received from the current time If the time length from the time point to the current time is greater than the second preset time length, the step of acquiring an image in the preset range in real time is performed, for example, the second preset time is 30 minutes.
  • the terminal receives the audio playback command.
  • the terminal detects that the terminal has not received any command from 8:20 to 8:51, because the terminal has received the command last time.
  • the difference between the time points reaches the second preset duration, so the terminal collects the images within the preset range in real time.
  • the second preset duration is a value that is manually set according to a specific application scenario.
  • the terminal collects an image in a preset range by using an imaging device, where the camera device is a camera or a camera.
  • the preset range is the range within the wide angle of the terminal, and The preset range further includes an observation radius centered on the terminal, and the observation radius is a value preset according to a size of the terminal screen; preferably The larger the terminal screen is, the larger the viewing radius is, and the smaller the terminal screen is, the smaller the viewing radius is.
  • Step 110 If no image including a face is detected in the collected image, the terminal starts a timer.
  • the terminal detects the image collected in real time, and when detecting that the image includes a face image, does not perform any operation on the terminal, and the terminal maintains the current state or performs the current operation; When it is detected that the image is not included in the image, the timer is turned on.
  • the method for detecting, by the terminal, whether the captured image is included in the image includes: adopting a feature sub-face technology, and culling the interference pattern except the face in the collected image, thereby removing the
  • the interference factors in the image ensure the accuracy of the subsequent face image recognition, thereby avoiding the wrong operation of the terminal according to the wrong recognition result; since the face image contains the facial features of the person, and each facial feature has a corresponding value, the value satisfies a preset condition, and therefore, if the facial feature value can be extracted in the image after the interference pattern is removed, and the facial feature value satisfies a preset condition, the captured image includes a human face Image; otherwise, the captured image does not contain a face image.
  • the method for extracting the facial feature value from the image after the interference pattern is removed comprising: extracting feature points in the image, and contour lines corresponding to the feature points; wherein the feature points include at least The eye, the nose, and the mouth, the contour line corresponding to each feature point is a closed area; respectively, obtaining the size of the area surrounded by each extracted contour line, the position of each feature point, and the distance between each two feature points; The size of the area enclosed by each contour line to be acquired, the position of each feature point, and the distance between each two feature points are determined as the facial feature values in the image.
  • the determining method that the facial feature value satisfies the preset condition comprises: when the size of the area surrounded by each contour line is within a corresponding preset area, and the position of each feature point is respectively in a corresponding preset Within the range of the feature points, and when the distance between each of the two feature points is within the corresponding distance range, it is determined that the facial feature values satisfy the preset condition. For example, when the feature point is an eye, the position of the left eye is (x1, y1), and the position of the right eye is (x2, y2), and the distance between the left eye and the right eye (denoted as b) is calculated, which can be passed. Calculate the offset as follows:
  • Step 120 When the duration recorded by the timer reaches a first preset duration, and the image including the face is not detected in the image collected within the duration recorded by the timer, the terminal is closed.
  • the terminal acquires the duration of the timer record, when the duration does not reach the first preset duration, and the image included in the duration recorded by the timer is not detected to include the human face.
  • the timer continues to count, the terminal continues to maintain the current working state; when the duration does not reach the first preset duration, and the captured image is detected in the image collected within the duration recorded by the timer
  • the timer is cleared, and the terminal returns to step 100; when the duration reaches a first preset duration, and the image collected in the duration recorded by the timer is not detected to include a human face
  • the closing the terminal includes: putting the terminal in a sleep state, or bringing the terminal into a shutdown state, or causing the terminal to be in a mute state; the first preset duration is manually configured according to a specific application scenario. Value.
  • the terminal uses the face recognition function to detect whether the face image is included in the preset range. When the face image is not detected within the first preset time period, the terminal is closed, so that the user does not close the terminal.
  • the terminal can also close the terminal by itself according to the face recognition result, thereby reducing the energy consumption of the terminal and prolonging the use time and service life of the battery.
  • Step 200 The terminal detects whether the working state of the current time itself meets the preset condition. If yes, step 210 is performed; otherwise, the operation of detecting whether the working state of the current time itself meets the preset condition is still performed.
  • the terminal detects whether the working state of the current time meets the preset condition, and the method includes: the terminal acquiring the working content of the current time; determining whether the working content belongs to the preset working content set; and/or The terminal acquires a time point when the instruction is received last time from the current time; and determines whether the time length from the time point of the recording to the current time is greater than the second preset time length.
  • Step 210 The terminal collects images in a preset range in real time.
  • Step 220 The terminal detects the image collected in real time, determines whether the image including the face is detected in the image, and if so, maintains the state of the current terminal; otherwise, step 230 is performed.
  • Step 230 The terminal starts a timer and records the duration.
  • Step 240 When the duration does not reach the first preset duration, and the image including the face is not detected in the image collected in the duration recorded by the timer, the timer continues to be timed, and the terminal continues to remain. Current working status.
  • Step 250 When the duration does not reach the first preset duration, and the image including the face is detected in the image collected within the duration recorded by the timer, the timer is cleared, and the terminal returns Step 220.
  • Step 260 When the duration reaches the first preset duration, and the image including the face is not detected in the image collected in the duration recorded by the timer, the terminal enters the countdown state, and when the countdown is reached, , the terminal is closed.
  • the embodiment of the present invention further provides a device for shutting down a terminal, where the device includes a collecting unit 30, a timer starting unit 31, and a terminal closing unit 32. ,among them:
  • the collecting unit 30 is configured to collect images in a preset range in real time
  • a timer starting unit 31 configured to start a timer if no image including a face is detected in the captured image
  • the terminal closing unit 32 is configured to close the terminal when the duration recorded by the timer reaches a first preset duration, and when the image including the face is not detected in the image collected in the duration recorded by the timer.
  • the device further includes a processing unit 33, configured to: obtain a working content of the current time before acquiring the image in the preset range in real time; and if the working content does not belong to the preset working content set, execute The step of acquiring an image in a preset range in real time; and/or acquiring a time point when the instruction is received last time from the current time; if the time length from the time point of the recording to the current time is greater than the second preset time length, executing The step of capturing images in the preset range in real time.
  • a processing unit 33 configured to: obtain a working content of the current time before acquiring the image in the preset range in real time; and if the working content does not belong to the preset working content set, execute The step of acquiring an image in a preset range in real time; and/or acquiring a time point when the instruction is received last time from the current time; if the time length from the time point of the recording to the current time is greater than the second preset time length, executing The step
  • the method for detecting, by the processing unit 33, whether the captured image is included in the image includes: adopting a feature sub-face technique, and culling the interference pattern except the face in the collected image; In the image after the interference pattern, the facial feature value can be extracted, and the facial feature value satisfies the preset condition, and the captured image includes the face image; otherwise, the captured image does not include the face image .
  • the processing unit 33 extracts a face from the image after the interference pattern is removed.
  • the method for eigenvalues includes: extracting feature points in the image, and contour lines corresponding to the feature points; wherein the feature points include at least an eye, a nose, and a mouth, and the contour line corresponding to each feature point is closed Area; respectively obtaining the size of the area surrounded by each extracted outline, the position of each feature point, and the distance between each two feature points; the size of each area surrounded by each contour line to be acquired, each feature The position of the point, and the distance between each two feature points, is determined as the facial feature value in the image.
  • the processing unit 33 determines that the facial feature value satisfies a preset condition, and includes: when each of the contour lines is surrounded by a size within a corresponding preset area, each feature The positions of the points are respectively within the range of the corresponding preset feature points, and when the distance between each of the two feature points is within the corresponding distance range, it is determined that the facial feature values satisfy the preset condition.
  • the embodiment of the present invention further provides a terminal, where the terminal includes a camera device 40, a processor 41, and a timer 42, wherein:
  • the camera device 40 is configured to collect images in a preset range in real time
  • the processor 41 is configured to start the timer 42 if no image including the face is detected in the captured image
  • the timer 42 is configured to record a duration
  • the processor 41 is further configured to: when the duration recorded by the timer reaches a first preset duration, and the image included in the image collected during the duration recorded by the timer is not detected, the terminal is closed .
  • the camera device 40 can be implemented by an image signal processor (ISP), including a camera post processor (CPP) 401, and a video front end 402 (video front end). VFE), an image signal processor interface 403 (ISPIF), and a sensor or a CMOS sensor interface 404 (COMS Sensor Interface, CSI for short), the components of the camera device 40 cooperate with each other to achieve a pair Acquisition of images within a preset range.
  • ISP image signal processor
  • CPP camera post processor
  • VFE video front end 402
  • ISPIF image signal processor interface 403
  • CSI CMOS sensor interface
  • the processor 41 is further configured to: before the image in the preset range is collected in real time, acquire the working content of the current time; if the working content does not belong to the preset working content set, notify the camera device 40 performing a step of acquiring an image within a preset range in real time; and/or acquiring a distance when a time point when the previous time is received by the previous time; if the time length from the time point of the recording to the current time is greater than the second preset time length, the step of notifying the camera device 40 to perform real-time acquisition of the image within the preset range;
  • the method for detecting, by the processor 41, whether the captured image is included in the image includes: adopting a feature sub-face technique, and culling the interference pattern except the face in the collected image; In the image after the interference pattern, the facial feature value can be extracted, and the facial feature value satisfies the preset condition, and the captured image includes the face image; otherwise, the captured image does not include the face image .
  • the processor 41 the method for extracting the facial feature value from the image after the interference pattern is removed, comprising: extracting feature points in the image, and contour lines corresponding to the feature points; wherein The feature point includes at least an eye, a nose, and a mouth, and the contour line corresponding to each feature point is a closed area; respectively, the size of the area surrounded by each extracted contour line, the position of each feature point, and each of the two features are acquired.
  • the distance between the points; the size of the area enclosed by each contour line to be acquired, the position of each feature point, and the distance between each two feature points are determined as the facial feature values in the image.
  • the processor 41 is configured to determine that the facial feature value meets a preset condition, that is, when each of the contour lines is surrounded by a size within a corresponding preset area, each of The position of the feature point is respectively within the range of the corresponding preset feature point, and when the distance between each two feature points is within the corresponding distance range, it is determined that the face feature value satisfies the preset condition.
  • a preset condition that is, when each of the contour lines is surrounded by a size within a corresponding preset area, each of The position of the feature point is respectively within the range of the corresponding preset feature point, and when the distance between each two feature points is within the corresponding distance range, it is determined that the face feature value satisfies the preset condition.
  • the processor 41 includes a core layer (kenel) 411 and a hardware abstraction layer 412 (HAL); wherein the core layer 411 includes a driver/memory/frame buffer ( a frameBuffer for storing an image obtained by the camera device 40; the hardware trace layer 412 is configured to detect the image by using a face detection algorithm (eg, 6 frames/second), if no face image is detected Will make the TV mute countdown or shut down the countdown.
  • a face detection algorithm eg, 6 frames/second
  • the terminal further includes a display unit 43 for: presenting an input interface (UI), where the input interface includes a virtual keyboard.
  • the display unit 43 is further configured to display information input by the user or information provided to the user and various menus provided by the processor 41; wherein, optionally, the display unit 43 includes a display panel.
  • the display panel can be configured in the form of an LCD (Liquid Crystal Display), an OLED (Organic Light-Emitting Diode), or the like.
  • the display unit 43 may further include a touch screen (not shown), and the touch screen may cover the display panel, and when the touch screen detects a touch operation on or near the touch screen, the touch screen transmits
  • the processor 41 is given to determine the type of touch event, and then the processor 41 provides a corresponding visual output on the display panel depending on the type of touch event.
  • the touch screen and the display panel can function as two separate components to implement input and output functions of information, but in some embodiments, the input and output functions of information can be realized by integrating the touch screen with the display panel.
  • the terminal automatically collects an image within a preset range around the terminal, and if the collected image is not detected in the collected image, the terminal starts a timer; when the timer records The duration of the first preset duration is reached, and when the image containing the face is not detected in the image collected within the duration recorded by the timer, the terminal is closed.
  • the terminal uses the face recognition function to detect whether the face image is included in the preset range.
  • the terminal When the face image is not detected within the first preset time period, the terminal is closed, so that the user even If the terminal is not closed, the terminal can also close the terminal by itself according to the face recognition result, thereby reducing the power consumption of the terminal and prolonging the use time and service life of the battery.
  • the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without deliberate labor.

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Abstract

本发明实施例提供一种关闭终端的方法及装置，通过终端实时采集自身周围预设范围内的图像，若采集的所述图像中未检测到包含人脸图像，终端启动计时器；当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭所述终端。采用本发明实施例技术方案，终端利用人脸识别功能，检测预设范围内是否包含人脸图像，当在第一预设时长内均未检测到人脸图像时，即关闭终端，使得用户即使未关闭终端，终端也能够根据人脸识别结果，自行关闭终端，从而减少了终端的能耗，延长了电池的使用时间和使用寿命。

Description

一种关闭终端的方法及装置
本申请要求在2015年11月27日提交中国专利局、申请号为201510852146.3、发明名称为“一种关闭终端的方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明实施例涉及通信技术领域，尤其涉及一种关闭终端的方法及装置。
背景技术
随着互联网的发展，各种终端(如手机，pad等)以其通信便捷，操作方便的特性得到了广泛的应用。目前，终端可以具有独立的操作系统，用户可以根据需要自行安装第三方服务商提供的应用软件，通过此类应用软件，可以扩展终端的功能。
目前，为了节约终端的能耗，若终端处于激活状态时，通常将终端设置为自激活终端开始，当达到预设时长时，终端未接收任何操作指令时，即关闭该终端，该关闭终端包括使终端处于休眠状态，或者使终端处于关机状态；其中，所述预设时长为人为设定的时长。采用该技术方案，当终端正在执行某些特定应用程序时，用户由于某种原因在未关闭终端的情况下，长时间离开终端时，终端将始终保持激活状态，例如，终端正在执行视频播放应用程序时，若用户不关闭该应用程序，终端将持续处于视频播放状态，从而增加了终端的能耗，缩短了终端的电池使用时长。
由此可见，目前终端存在能耗高的问题。
发明内容
本发明实施例提供一种关闭终端的方法及装置，用以解决目前终端能耗高的问题。
本发明实施例提供的具体技术方案如下：
本发明实施例提供一种关闭终端的方法，包括：
终端实时采集预设范围内的图像；
若采集的所述图像中未检测到包含人脸图像，则终端启动计时器；
当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭所述终端。
本发明实施例提供一种关闭终端的装置，包括：
采集单元，用于实时采集预设范围内的图像；
计时器启动单元，用于若采集的所述图像中未检测到包含人脸图像，则启动计时器；
终端关闭单元，用于当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭终端。
本发明实施例提供一种关闭终端的方法及装置，通过终端实时采集自身周围预设范围内的图像，若采集的所述图像中未检测到包含人脸图像，终端启动计时器；当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭所述终端。采用本发明实施例技术方案，终端利用人脸识别功能，检测预设范围内是否包含人脸图像，当在第一预设时长内均未检测到人脸图像时，即关闭终端，使得用户即使未关闭终端，终端也能够根据人脸识别结果，自行关闭终端，从而减少了终端的能耗，延长了电池的使用时间和使用寿命。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本发明实施例一中关闭终端的流程图；
图2为本发明实施例二中关闭终端的流程图；
图3为本发明实施例三中关闭终端的装置结构示意图；
图4为本发明实施例四中终端结构示意图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
下面结合说明书附图，对本发明实施例作进一步详细描述。
本发明实施例中，终端为具备通信能力的设备，且该终端具备用户交互界面，如智能电视，个人计算机，手机，平板电脑等，所述终端中装载的操作系统可以为Windows操作系统，安卓操作系统，或者ios操作系统等。
实施例一
参阅图1所示，本发明实施例中，关闭终端的过程，包括：
步骤100：终端实时采集预设范围内的图像。
本发明实施例中，终端检测当前时刻自身的工作状态满足预设条件时，实时采集预设范围内的图像。
可选的，所述终端检测当前时刻自身的工作状态满足预设条件，包括：终端获取当前时刻自身的工作内容；若所述工作内容不属于预设的工作内容集合，则执行实时采集预设范围内的图像的步骤，其中，所述工作内容集合中包含的元素为根据具体应用场景预先设置的值，如工作内容集合包含视频播放等元素；和/或，终端获取距离当前时刻最近一次接收到指令的时间点；若自记录的所述时间点至当前时刻的时间长度大于第二预设时长，则执行实时采集预设范围内的图像的步骤，例如，第二预设时长为30分钟，在时间8:20，终端接收到了音频播放指令，在8:51到达时，终端检测到自8:20至8:51终端未接收到任何指令，由于当前时刻至终端最近一次接收到指令的时间点之差达到第二预设时长，因此，终端实时采集预设范围内的图像。其中，所述第二预设时长为根据具体应用场景人为设定的值。
可选的，所述终端通过摄像装置采集预设范围内的图像，该摄像装置为相机或者摄像机。此外，由于终端具备观看广角，即在该终端观看广角之外的角度内，用户无法识别终端上的图像，因此，可选的，所述预设范围即为终端观看广角以内的范围，且所述预设范围还包括观察半径，该观察半径以所述终端为中心，所述观察半径为根据终端屏幕的大小预先设置的值；较佳 的，所述终端屏幕越大，所述观察半径越大，所述终端屏幕越小，所述观察半径越小。
步骤110：若采集的所述图像中未检测到包含人脸图像，则终端启动计时器。
本发明实施例中，终端对实时采集到的图像进行检测，当检测到所述图像中包含人脸图像时，即不对所述终端执行任何操作，终端保持当前状态或者执行当前操作即可；当检测到所述图像中不包含人脸图像时，即开启计时器。
可选的，所述终端检测采集的所述图像中是否包含人脸图像的方法，包括：采用特征子脸技术，剔除所述采集的图像中除人脸之外的干扰图形，从而去除所述图像中的干扰因素，保证了后续对人脸图像识别的准确性，进而避免了对终端根据错误的识别结果执行错误的操作；由于人脸图像中包含人的面部特征，且各个面部特征均具备相应的数值，该数值满足预设条件，因此，若剔除干扰图形之后的图像中，能够提取得到面部特征值，且所述面部特征值满足预设条件，则所述采集的图像中包含人脸图像；否则，所述采集的图像中不包含人脸图像。
可选的，从剔除干扰图形之后的图像中，提取得到面部特征值的方法，包括：提取所述图像中的特征点，以及所述特征点对应的轮廓线；其中，所述特征点至少包含眼睛、鼻子、嘴，每一个特征点对应的轮廓线为闭合区域；分别获取提取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离；将获取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离，确定为所述图像中的面部特征值。
所述面部特征值满足预设条件的确定方法，包括：当所述每一条轮廓线所包围的区域大小分别在相应的预设区域范围之内，每一个特征点的位置分别在相应的预设特征点范围之内，且每两个特征点之间的距离分别在相应的距离范围之内时，确定所述面部特征值满足预设条件。例如，当特征点为眼睛时，左眼的位置为(x1，y1)，右眼的位置为(x2，y2)，计算该左眼与右眼之间的距离(记为b)，可以通过如下公式计算偏移量：
Figure PCTCN2016082500-appb-000001
其中，判断所述b是否在预设距离范围记为[b1,b2]内。
步骤120：当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭所述终端。
本发明实施例中，终端获取所述计时器记录的时长，当所述时长未达到第一预设时长，且所述计时器记录的所述时长内采集到的图像中未检测到包含人脸图像时，计时器继续计时，所述终端继续保持当前工作状态；当所述时长未达到第一预设时长，且所述计时器记录的所述时长内采集到的图像中检测到包含人脸图像时，所述计时器清零，所述终端返回步骤100；当所述时长达到第一预设时长，且所述计时器记录的所述时长内采集到的图像中未检测到包含人脸图像时，关闭所述终端，其中，所述关闭终端包括使终端处于休眠状态，或者使终端处于关机状态，或者使终端处于静音状态；所述第一预设时长为根据具体应用场景人为设定的值。
采用上述技术方案，终端利用人脸识别功能，检测预设范围内是否包含人脸图像，当在第一预设时长内均未检测到人脸图像时，即关闭终端，使得用户即使未关闭终端，终端也能够根据人脸识别结果，自行关闭终端，从而减少了终端的能耗，延长了电池的使用时间和使用寿命。
实施例二
基于实施例一所述的技术方案，参阅图2所示，下面结合具体的应用场景，详细描述终端关闭过程：
步骤200：终端检测当前时刻自身的工作状态是否满足预设条件，若是，执行步骤210；否则，仍执行检测当前时刻自身的工作状态是否满足预设条件的操作。
本发明实施例中，所述终端检测当前时刻自身的工作状态是否满足预设条件，包括：终端获取当前时刻自身的工作内容；判断所述工作内容是否属于预设的工作内容集合；和/或，终端获取距离当前时刻最近一次接收到指令的时间点；判断自记录的所述时间点至当前时刻的时间长度是否大于第二预设时长。
步骤210：终端实时采集预设范围内的图像。
步骤220：终端对实时采集到的图像进行检测，判断所述图像中是否检测到包含人脸图像，若是，保持当前终端的状态；否则，执行步骤230。
步骤230：终端启动计时器，记录时长。
步骤240：当所述时长未达到第一预设时长，且所述计时器记录的所述时长内采集到的图像中未检测到包含人脸图像时，计时器继续计时，所述终端继续保持当前工作状态。
步骤250：当所述时长未达到第一预设时长，且所述计时器记录的所述时长内采集到的图像中检测到包含人脸图像时，所述计时器清零，所述终端返回步骤220。
步骤260：当所述时长达到第一预设时长，且所述计时器记录的所述时长内采集到的图像中未检测到包含人脸图像时，终端进入关闭倒计时状态，当到达倒计时时长时，关闭所述终端。
实施例三
基于实施例一和实施例二所述的技术方案，参阅图3所示，本发明实施例还提供一种关闭终端的装置，该装置包括采集单元30，计时器启动单元31，终端关闭单元32，其中：
采集单元30，用于实时采集预设范围内的图像；
计时器启动单元31，用于若采集的所述图像中未检测到包含人脸图像，则启动计时器；
终端关闭单元32，用于当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭终端。
可选的，所述装置还包括处理单元33，用于：实时采集预设范围内的图像之前，获取当前时刻自身的工作内容；若所述工作内容不属于预设的工作内容集合，则执行实时采集预设范围内的图像的步骤；和/或获取距离当前时刻最近一次接收到指令的时间点；若自记录的所述时间点至当前时刻的时间长度大于第二预设时长，则执行实时采集预设范围内的图像的步骤。
可选的，所述处理单元33检测采集的所述图像中是否包含人脸图像的方法，包括：采用特征子脸技术，剔除所述采集的图像中除人脸之外的干扰图形；若剔除干扰图形之后的图像中，能够提取得到面部特征值，且所述面部特征值满足预设条件，则所述采集的图像中包含人脸图像；否则，所述采集的图像中不包含人脸图像。
可选的，所述处理单元33从剔除干扰图形之后的图像中，提取得到面部 特征值的方法，包括：提取所述图像中的特征点，以及所述特征点对应的轮廓线；其中，所述特征点至少包含眼睛、鼻子、嘴，每一个特征点对应的轮廓线为闭合区域；分别获取提取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离；将获取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离，确定为所述图像中的面部特征值。
可选的，所述处理单元33确定所述面部特征值满足预设条件的方法，包括：当所述每一条轮廓线所包围的区域大小分别在相应的预设区域范围之内，每一个特征点的位置分别在相应的预设特征点范围之内，且每两个特征点之间的距离分别在相应的距离范围之内时，确定所述面部特征值满足预设条件。
实施例四
基于实施例一至实施例二所述的技术方案，参阅图4所示，本发明实施例还提供一种终端，该终端包含摄像装置40，处理器41，以及计时器42，其中：
摄像装置40，用于实时采集预设范围内的图像；
处理器41，用于若采集的所述图像中未检测到包含人脸图像，则启动计时器42；
所述计时器42，用于记录时长；
所述处理器41，还用于当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭终端。
可选的，所述摄像装置40可以通过图像信号处理器(Image Signal Processor，简称ISP)实现，包含摄像头后置处理器(camera postprocessor，简称CPP)401，视频前端部件402(video front end，简称VFE)，图像信号处理器接口403(Image Signal Processor Interface，简称ISPIF)，以及传感器(Sensor)或CMOS传感器接口404(COMS Sensor Interface，简称CSI)，摄像装置40的各个部件相互配合，共同实现对预设范围内图像的获取。
可选的，所述处理器41，还用于：实时采集预设范围内的图像之前，获取当前时刻自身的工作内容；若所述工作内容不属于预设的工作内容集合，则通知摄像装置40执行实时采集预设范围内的图像的步骤；和/或获取距离当 前时刻最近一次接收到指令的时间点；若自记录的所述时间点至当前时刻的时间长度大于第二预设时长，则通知摄像装置40执行实时采集预设范围内的图像的步骤；
可选的，所述处理器41检测采集的所述图像中是否包含人脸图像的方法，包括：采用特征子脸技术，剔除所述采集的图像中除人脸之外的干扰图形；若剔除干扰图形之后的图像中，能够提取得到面部特征值，且所述面部特征值满足预设条件，则所述采集的图像中包含人脸图像；否则，所述采集的图像中不包含人脸图像。
可选的，所述处理器41，从剔除干扰图形之后的图像中，提取得到面部特征值的方法，包括：提取所述图像中的特征点，以及所述特征点对应的轮廓线；其中，所述特征点至少包含眼睛、鼻子、嘴，每一个特征点对应的轮廓线为闭合区域；分别获取提取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离；将获取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离，确定为所述图像中的面部特征值。
可选的，所述处理器41，确定所述面部特征值满足预设条件的方法，包括：当所述每一条轮廓线所包围的区域大小分别在相应的预设区域范围之内，每一个特征点的位置分别在相应的预设特征点范围之内，且每两个特征点之间的距离分别在相应的距离范围之内时，确定所述面部特征值满足预设条件。
可选的，所述处理器41包含核心层(kenel)411，以及硬件描象层412(Hardware Abstraction Layer，简称HAL)；其中，所述核心层411包含驱动/存储器(memory)/帧缓存(FrameBuffer)，用于存储所述摄像装置40获得的图像；所述硬件描象层412用于采用人脸检测算法(如6帧/秒)对所述图像进行检测，若未检测到人脸图像，将使电视机静音倒计时或者关机倒计时。
进一步的，所述终端还包括显示单元43，用于：呈现输入界面(UI)，该输入界面中包含虚拟键盘。进一步的，该显示单元43还用于，显示由用户输入的信息或提供给用户的信息以及处理器41提供的各种菜单；其中，可选的，所述显示单元43包括显示面板。可选的，可以采用LCD(Liquid Crystal Display，液晶显示器)、OLED(Organic Light-Emitting Diode,有机发光二极管)等形式来配置显示面板。进一步的，上述显示单元43还可以包括触摸屏(图中未示出)，触摸屏可覆盖显示面板，当触摸屏检测到在其上或附近的触摸操作后，传送 给处理器41以确定触摸事件的类型，随后处理器41根据触摸事件的类型在显示面板上提供相应的视觉输出。触摸屏与显示面板可以作为两个独立的部件来实现信息的输入和输出功能，但是在某些实施例中，可以将触摸屏与显示面板集成而实现信息的输入和输出功能。
综上所述，本发明实施例中，通过终端实时采集自身周围预设范围内的图像，若采集的所述图像中未检测到包含人脸图像，终端启动计时器；当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭所述终端。采用本发明实施例技术方案，终端利用人脸识别功能，检测预设范围内是否包含人脸图像，当在第一预设时长内均未检测到人脸图像时，即关闭终端，使得用户即使未关闭终端，终端也能够根据人脸识别结果，自行关闭终端，从而减少了终端的能耗，延长了电池的使用时间和使用寿命。
以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下，即可以理解并实施。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到各实施方式可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件。基于这样的理解，上述技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行各个实施例或者实施例的某些部分所述的方法。
最后应说明的是：以上实施例仅用以说明本发明实施例的技术方案，而非对其限制；尽管参照前述实施例对本发明实施例进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明实施例各实施例技术方案的精神和范围。

Claims (10)

  1. 一种关闭终端的方法，其特征在于，包括：
    终端实时采集预设范围内的图像；
    若采集的所述图像中未检测到包含人脸图像，则终端启动计时器；
    当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭所述终端。
  2. 根据权利要求1所述的方法，其特征在于，实时采集预设范围内的图像之前，所述方法还包括：
    终端获取当前时刻自身的工作内容；若所述工作内容不属于预设的工作内容集合，则执行实时采集预设范围内的图像的步骤；和/或
    终端获取距离当前时刻最近一次接收到指令的时间点；若自记录的所述时间点至当前时刻的时间长度大于第二预设时长，则执行实时采集预设范围内的图像的步骤。
  3. 根据权利要求1或2所述的方法，其特征在于，检测采集的所述图像中是否包含人脸图像的方法，包括：
    采用特征子脸技术，剔除所述采集的图像中除人脸之外的干扰图形；
    若剔除干扰图形之后的图像中，能够提取得到面部特征值，且所述面部特征值满足预设条件，则所述采集的图像中包含人脸图像；否则，所述采集的图像中不包含人脸图像。
  4. 根据权利要求3所述的方法，其特征在于，从剔除干扰图形之后的图像中，提取得到面部特征值的方法，包括：
    提取所述图像中的特征点，以及所述特征点对应的轮廓线；其中，所述特征点至少包含眼睛、鼻子、嘴，每一个特征点对应的轮廓线为闭合区域；
    分别获取提取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离；
    将获取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离，确定为所述图像中的面部特征值。
  5. 根据权利要求4所述的方法，其特征在于，所述面部特征值满足预设条件的确定方法，包括：
    当所述每一条轮廓线所包围的区域大小分别在相应的预设区域范围之内，每一个特征点的位置分别在相应的预设特征点范围之内，且每两个特征 点之间的距离分别在相应的距离范围之内时，确定所述面部特征值满足预设条件。
  6. 一种关闭终端的装置，其特征在于，包括：
    采集单元，用于实时采集预设范围内的图像；
    计时器启动单元，用于若采集的所述图像中未检测到包含人脸图像，则启动计时器；
    终端关闭单元，用于当所述计时器记录的时长达到第一预设时长，且在所述计时器记录的时长内采集到的图像中未检测到包含人脸图像时，关闭终端。
  7. 根据权利要求6所述的装置，其特征在于，还包括处理单元，用于：
    实时采集预设范围内的图像之前，获取当前时刻自身的工作内容；若所述工作内容不属于预设的工作内容集合，则执行实时采集预设范围内的图像的步骤；和/或
    获取距离当前时刻最近一次接收到指令的时间点；若自记录的所述时间点至当前时刻的时间长度大于第二预设时长，则执行实时采集预设范围内的图像的步骤。
  8. 根据权利要求6或7所述的装置，其特征在于，所述处理单元检测采集的所述图像中是否包含人脸图像的方法，包括：
    采用特征子脸技术，剔除所述采集的图像中除人脸之外的干扰图形；
    若剔除干扰图形之后的图像中，能够提取得到面部特征值，且所述面部特征值满足预设条件，则所述采集的图像中包含人脸图像；否则，所述采集的图像中不包含人脸图像。
  9. 根据权利要求8所述的装置，其特征在于，所述处理单元从剔除干扰图形之后的图像中，提取得到面部特征值的方法，包括：
    提取所述图像中的特征点，以及所述特征点对应的轮廓线；其中，所述特征点至少包含眼睛、鼻子、嘴，每一个特征点对应的轮廓线为闭合区域；
    分别获取提取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离；
    将获取的每一条轮廓线所包围的区域大小，每一个特征点的位置，以及每两个特征点之间的距离，确定为所述图像中的面部特征值。
  10. 根据权利要求9所述的装置，其特征在于，所述处理单元确定所述 面部特征值满足预设条件的方法，包括：
    当所述每一条轮廓线所包围的区域大小分别在相应的预设区域范围之内，每一个特征点的位置分别在相应的预设特征点范围之内，且每两个特征点之间的距离分别在相应的距离范围之内时，确定所述面部特征值满足预设条件。
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