WO2016184104A1 - 识别物体的方法及装置 - Google Patents

识别物体的方法及装置 Download PDF

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Publication number
WO2016184104A1
WO2016184104A1 PCT/CN2015/098717 CN2015098717W WO2016184104A1 WO 2016184104 A1 WO2016184104 A1 WO 2016184104A1 CN 2015098717 W CN2015098717 W CN 2015098717W WO 2016184104 A1 WO2016184104 A1 WO 2016184104A1
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WIPO (PCT)
Prior art keywords
identified
information
identifying
object information
module
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
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PCT/CN2015/098717
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English (en)
French (fr)
Inventor
唐明勇
陈涛
刘华一君
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Xiaomi Inc
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Xiaomi Inc
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Publication date
Application filed by Xiaomi Inc filed Critical Xiaomi Inc
Priority to KR1020167004130A priority Critical patent/KR101758648B1/ko
Priority to RU2016115038A priority patent/RU2642391C2/ru
Priority to MX2016004985A priority patent/MX357003B/es
Priority to JP2017518406A priority patent/JP6326552B2/ja
Publication of WO2016184104A1 publication Critical patent/WO2016184104A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5838Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/5866Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/587Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00Two-dimensional [2D] image generation
    • G06T11/60Creating or editing images; Combining images with text
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/20Scenes; Scene-specific elements in augmented reality scenes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/10Recognition assisted with metadata

Definitions

  • the present disclosure relates to the field of wearable devices, and in particular, to a method and apparatus for recognizing an object.
  • the method of sound control is mainly used to find an object.
  • the realization process is as follows: a sound control device is arranged on the object, and when the trigger condition is met, the voice control device on the object is turned on, so that the sound can be emitted, so that the user can Find the object.
  • this method needs to set the voice control device on the object in advance, and if there are more objects to be searched, more voice control devices are needed, and the implementation means is complicated and inconvenient. Therefore, there is an urgent need to provide a simple and effective way to find objects.
  • Embodiments of the present disclosure provide a method and apparatus for identifying an object to solve the problem of complicated and inconvenient means for finding an object at present.
  • a method of identifying an object the method being applied to a wearable device, the method comprising:
  • the object to be identified is positioned and the object to be identified is highlighted.
  • determining the object to be identified may include:
  • the method may further include:
  • the object matching relationship table is saved, wherein the object matching relationship table includes a correspondence relationship between the matched objects.
  • the method may further include:
  • reaching a preset condition may include:
  • reaching a preset condition may include:
  • the current location is detected as the location recorded in the corresponding behavior information.
  • highlighting the object to be identified may include:
  • the object to be recognized is flashing.
  • a method of identifying an object comprising:
  • the obtaining target object information may include:
  • the object information obtained by the scanning is located in the pre-stored target object information table, and if it is located, it is confirmed that the object information is the target object information.
  • the method may further include:
  • the target object information table is received and saved, wherein the target object information table includes object information that matches the object to be identified.
  • an apparatus for identifying an object the apparatus being applied to a wearable device, the apparatus comprising:
  • a display module configured to: when the preset condition is reached, locate the object to be identified determined by the determining module, and highlight the object to be identified.
  • the determining module may include:
  • a first determining submodule configured to identify the current object, and query the pre-stored object matching relationship table according to the current object information to determine the object to be identified;
  • a second determining submodule configured to obtain a content corresponding to the time and/or location parameter based on the pre-stored behavior information Body information, and querying the pre-stored object matching relationship table according to the object information to determine an object to be identified corresponding to the time and/or location parameter;
  • a third determining submodule configured to receive the target object information sent by the image recognition device, and query the pre-stored object matching relationship table according to the target object information to determine the object to be identified.
  • the apparatus may further include:
  • the first saving module is configured to: before the determining module determines the object to be identified, receive and save the object matching relationship table, where the object matching relationship table includes between matching objects Correspondence relationship.
  • the apparatus may further include:
  • the second saving module is configured to: before the second determining sub-module obtains the object information corresponding to the time and/or the location parameter according to the pre-stored behavior information, receive the behavior information input by the user, and save the behavior information; Alternatively, the user's behavior information is collected and the behavior information is saved.
  • the display module can include:
  • a first detecting submodule configured to detect that a change angle of the wearable device exceeds a preset angle threshold
  • the second detection sub-module is configured to detect that the highlight button on the wearable device is turned on.
  • the display module can include:
  • a third detection submodule configured to detect that the current time reaches the time recorded in the pre-stored behavior information
  • the current location is detected as the location recorded in the corresponding behavior information.
  • the display module can include:
  • a first display sub-module configured to enlarge a portion or all of the object to be identified
  • the second display sub-module is configured to blink the object to be identified.
  • an apparatus for identifying an object comprising:
  • a sending module configured to send, to the wearable device, the target object information obtained by the obtaining module, so that the wearable device determines an object to be identified according to the target object information, and when a preset condition is reached, Positioning the object to be identified and highlighting the object to be identified.
  • the obtaining module comprises:
  • a scanning sub-module configured to scan object information within a current field of view
  • the confirmation submodule is configured to confirm whether the object information obtained by scanning by the scanning submodule is located in the pre-stored target object information table, and if located, confirm that the object information is the target object information.
  • the obtaining module further includes:
  • a saving submodule configured to receive and save the target object information table before the confirmation submodule confirms whether the scanned object information is located in the pre-stored target object information table, wherein the target object information table includes Object information that matches the object to be identified.
  • an apparatus for identifying an object comprising:
  • a memory for storing processor executable instructions
  • processor is configured to:
  • the object to be identified is positioned and the object to be identified is highlighted.
  • an apparatus for identifying an object comprising:
  • a memory for storing processor executable instructions
  • processor is configured to:
  • the technical solution provided by the embodiment of the present disclosure may include the following beneficial effects: by determining an object to be identified, and when the preset condition is reached, positioning the object to be identified, and highlighting the object to be identified, so that the user can find the object in time.
  • the implementation method of the embodiment is simple and effective, and can help the user to find the required object very conveniently.
  • FIG. 1 is a flow chart showing a method of identifying an object, according to an exemplary embodiment.
  • FIG. 2 is a scene diagram of a method of identifying an object, according to an exemplary embodiment.
  • FIG. 3 is a flow chart of another method of identifying an object, according to an exemplary embodiment.
  • FIG. 4 is a flow chart of another method of identifying an object, according to an exemplary embodiment.
  • FIG. 5 is a scene diagram of another method of identifying an object, according to an exemplary embodiment.
  • FIG. 6 is a flow chart showing still another method of identifying an object, according to an exemplary embodiment.
  • FIG. 7 is a flow chart showing still another method of identifying an object, according to an exemplary embodiment.
  • FIG. 8 is a block diagram of an apparatus for identifying an object, according to an exemplary embodiment.
  • FIG. 9A is a block diagram of another apparatus for identifying an object, according to an exemplary embodiment.
  • FIG. 9B is a block diagram of another apparatus for identifying an object, according to an exemplary embodiment.
  • 9C is a block diagram of another apparatus for identifying an object, according to an exemplary embodiment.
  • 9D is a block diagram of another apparatus for identifying an object, according to an exemplary embodiment.
  • 9E is a block diagram of another apparatus for identifying an object, according to an exemplary embodiment.
  • FIG. 9F is a block diagram of another apparatus for identifying an object, according to an exemplary embodiment.
  • FIG. 10 is a block diagram of still another apparatus for identifying an object, according to an exemplary embodiment.
  • FIG. 11A is a block diagram of still another apparatus for identifying an object, according to an exemplary embodiment.
  • FIG. 11B is a block diagram of still another apparatus for identifying an object, according to an exemplary embodiment.
  • FIG. 12 is a block diagram of an apparatus suitable for identifying an object, according to an exemplary embodiment.
  • FIG. 1 is a flowchart of a method for identifying an object, as shown in FIG. 1 , the method for identifying an object may be applied to a wearable device, wherein the wearable device may include, but is not limited to, smart The glasses, the smart helmet, and the like, the method for identifying an object includes the following steps S101-S102:
  • step S101 an object to be identified is determined.
  • the wearable device determines that the object to be identified may include multiple manners. For example, the current object may be identified first, and the pre-stored object matching relationship table is queried according to the current object information to determine the object to be identified.
  • the user wants to find the remote control of the television, he can wear the smart glasses first, then look at the TV for a period of time, for example, 3 seconds, so that the smart glasses recognize that the current object is a television, and then query the object matching relationship table.
  • the object to be identified may be determined, wherein the object matching relationship table holds the correspondence between the matched objects.
  • the reason why it is necessary to look at the current object such as a television for a period of time, for example, 3 seconds or more, is to improve the efficiency of recognition, that is, if the user wants to find an object matching the object A after wearing the smart glasses, he does not intend to First look at the B object for 1 second. If the recognition time is not directly restricted, the smart glasses will first recognize the object B, which will undoubtedly reduce the recognition efficiency of the smart glasses.
  • the method may further include: saving the object matching relationship table.
  • step S102 when the preset condition is reached, the object to be identified is positioned and the object to be identified is highlighted.
  • the preset condition is a condition that triggers the wearable device to highlight the object, for example, the change angle of the wearable device exceeds a preset angle threshold, wherein the preset angle threshold may be flexibly set according to requirements; It can be that the highlight button on the wearable device is turned on, and so on.
  • the position of the object to be recognized such as the remote controller
  • the object is highlighted at the corresponding position, so that the user can find the object in time.
  • the distance from the object is within a preset range, wherein the preset range may be 1 cm, 3 cm, etc., and may be flexibly set according to factors such as the size of the object; the manner of highlighting the object may be an enlarged display.
  • the object may also be a part of the object displayed in an enlarged manner, or may be displayed by flashing, that is, the object is enlarged, then reduced, and then enlarged, and the object is displayed.
  • the above is only an example of highlighting, and the embodiment is not for highlighting. Ways to limit.
  • the present disclosure is exemplarily described below with reference to FIG. 2.
  • the smart glasses 21 can be put on, and then the television set 22 is watched for a period of time, for example, 5 seconds, the smart glasses.
  • the smart glasses 21 will recognize that the object currently viewed by the user is the television set 22, and then query the object matching relationship table to determine that the object that the user wants to find (that is, the object that the smart glasses need to recognize) is the remote controller 23 that matches the television set 22 when the user
  • the turning head, that is, the smart glasses 21 detects that the change angle of the self is greater than the preset angle threshold, in other words, when the trigger condition of the highlighted object is reached, the remote controller 23 is positioned, and the remote controller 23 is enlargedly displayed in the field of view to enlarge the display manner.
  • a bubble is ejected at the position where the remote controller 23 is located, and then an enlarged remote controller is displayed in the bubble.
  • the user can find the desired object conveniently and in time, and is particularly suitable for the situation that the user has poor eyesight or poor ambient light of the user or a large number of objects in the vicinity of the object to be identified.
  • the method embodiment for identifying an object by determining an object to be identified, and when reaching a preset condition, positioning the object to be identified, and highlighting the object to be identified, so that the user can find the corresponding object in time, thereby being visible
  • the implementation method of the embodiment is simple and effective, and can help the user find the required object very conveniently.
  • determining the object to be identified may include:
  • the method may further include:
  • the object matching relationship table is saved, wherein the object matching relationship table includes a correspondence relationship between the matched objects.
  • the method may further include:
  • reaching a preset condition may include:
  • reaching a preset condition may include:
  • the current location is detected as the location recorded in the corresponding behavior information.
  • highlighting the object to be identified may include:
  • the object to be recognized is flashing.
  • FIG. 3 is a flowchart of another method for identifying an object, as shown in FIG. 3, including the following steps S301-S303, according to an exemplary embodiment:
  • step S301 the behavior information of the user is obtained and saved.
  • the wearable device such as smart glasses
  • the wearable device can receive the behavior information manually input by the user, and save the behavior information, and can also automatically record the behavior information of the user by means of time synchronization, GPS positioning, screen recognition, and the like.
  • the behavior information may be an action related to an object performed by the user at a certain time and at a certain place. For example, the user likes to watch the game in the living room at home from 7:00 to 11:00 every Friday night; or the user
  • the behavior associated with an object that is performed at a certain time may be the behavior of the object that is performed by the user at a certain location.
  • step S302 object information corresponding to the time and/or location parameter is obtained according to the pre-stored behavior information, and the pre-stored object matching relationship table is queried according to the object information to determine the object to be identified corresponding to the time and/or location parameter.
  • the wearable device such as smart glasses
  • this behavior information is obtained from the TV set at 7:00-11:00 every Friday night, and the living room corresponding to the living room is a television set, and then the object to be identified is obtained as a remote controller according to the television and object matching relationship table.
  • step S303 when the preset condition is reached, the object to be identified is positioned and the object to be identified is highlighted.
  • the smart glasses automatically detect the location of the object to be recognized, such as the remote controller, when the current time reaches the time recorded in the pre-stored behavior information and/or the current location is the location recorded in the pre-stored behavior information, and then Highlight the object at the corresponding location so that the user can find the object in time.
  • the corresponding position may be a position within a preset range from the object, wherein the preset range may be 2 cm, 4 cm, etc.; the manner of highlighting the object may be to enlarge the object or enlarge
  • the part of the object is displayed, and the object may be displayed by blinking, that is, the object is first enlarged, then reduced, and then enlarged.
  • the wearable device such as the smart glasses can highlight the object sought by the user in the recorded specific time according to the behavior information recorded by the user, so as to facilitate the user to find the desired object.
  • FIG. 4 is a flow chart of another method of identifying an object, according to an exemplary embodiment. As shown in FIG. 4, the following steps S401-S403 are included:
  • step S401 the object matching relationship table is received and saved.
  • the wearable device such as smart glasses
  • step S402 the target object information transmitted by the image recognition device is received, and the object matching relationship table is queried according to the target object information to determine the object to be identified.
  • the smart glasses when the user recognizes the object through the wearable device such as the smart glasses, there is a case where the smart glasses cannot see the object.
  • the target object such as a cigarette
  • the smart glasses can be set to the cigarette, in order to solve the problem,
  • the target object such as a cigarette can be identified by means of an image recognition device such as a camera, and then the target object information is transmitted to the smart glasses. After receiving the target object information, the smart glasses determine the object to be identified by querying the object matching relationship table.
  • a wearable device such as smart glasses can simultaneously identify a plurality of objects.
  • an object matching the cigarette that is, a lighter
  • the TV show can be identified by the manner shown in FIG. 1 or FIG. 3.
  • the object is the remote control.
  • step S403 when the preset condition is reached, the object to be identified is positioned and the object to be identified is highlighted.
  • the position of the object to be recognized such as the remote controller
  • the position of the object to be recognized may be automatically found, and then the object is highlighted at the corresponding position
  • the highlighted button is turned on, the position of the object to be recognized, such as the remote controller, is automatically found, and then the object is highlighted at the corresponding position.
  • the manner of highlighting the object may be displaying the object in an enlarged manner, or displaying a part of the object in an enlarged manner, or displaying the object by blinking.
  • the present disclosure is exemplarily described below with reference to FIG. 5.
  • the cigarette 50 when the user watches TV in the living room, the cigarette 50 is held on the mouth, but the lighter is not found, and the user wears the smart glasses 51 to find the lighter, but the smart
  • the glasses 51 do not recognize the cigarettes, but the camera 52 located in the living room can recognize the cigarettes 50 and confirm that the identified cigarettes 50 are located in the target object information table stored in the camera 52, and then pass through Bluetooth, wireless fidelity (wifi), etc.
  • the method transmits the information of the cigarette 50 to the smart glasses 51.
  • the smart glasses After receiving the information of the cigarette 50, the smart glasses query the pre-stored object matching relationship table to obtain an object that matches the cigarette 50 as a lighter, and then automatically enlarges and displays the lighter in the field of view.
  • the image recognition device such as a camera and the smart glasses, the user can conveniently find the desired object.
  • FIG. 6 is a flowchart of still another method for identifying an object, which may be applied to an image recognition device, wherein the image recognition device may include, but is not limited to, a camera, the method includes the following step S601, according to an exemplary embodiment. -S602:
  • step S601 target object information is obtained.
  • the target object information refers to an object that the smart glasses cannot recognize, that is, an object that matches the object to be found, such as the cigarette in FIG.
  • step S602 the target object information is sent to the wearable device, so that the wearable device determines the object to be identified according to the target object information, and when the preset condition is reached, locates the object to be identified, and highlights the object to be identified. object.
  • the image recognition device may transmit the target object information to the wearable device such as the smart glasses by means of Bluetooth, wifi, or the like.
  • the target object information is obtained, and the target object information is sent to the wearable device, so that the wearable device determines the object to be identified according to the target object information, and locates the to-be-identified when the preset condition is reached.
  • the object and the object to be identified are highlighted, so that the user can find the corresponding object in time. Therefore, the implementation method of the embodiment is simple and effective, and can help the user to find the desired object very conveniently.
  • obtaining the target object information may include:
  • the method before confirming whether the object information obtained by the scanning is located in the pre-stored target object information table, the method further includes:
  • the target object information table is received and saved, wherein the target object information table includes object information that matches the object to be identified.
  • FIG. 7 is a flowchart of still another method for identifying an object, which is applicable to a camera, and the method includes the following steps S701-S703, according to an exemplary embodiment:
  • step S701 the target object information table is received and saved.
  • the camera saves the target object information table in order to determine whether the recognized object is the target object.
  • step S702 the object information in the current field of view is scanned, and when the object information obtained by the confirmation scan is located in the pre-stored target object information table, the object information is confirmed as the target object information.
  • the camera scans the object information in the current field of view, assuming that the object A is scanned, and if the object A is located in the target object information table, the object A is the target object, and if the object A is not located in the target object, In the table, the object A is not the target object.
  • step S703 the target object information is sent to the wearable device, so that the wearable device determines the object to be identified according to the target object information, and when the preset condition is reached, locates the object to be identified, and highlights the object to be identified. object.
  • the camera transmits the information of the object A to the wearable device such as the smart glasses.
  • the wearable device determines that the information matching the cigarette is A lighter, and when the user turns the head, that is, the angle at which the smart glasses change is greater than the preset angle threshold, the lighter is flashed.
  • the method embodiment for identifying an object obtains target object information by saving the target object information table, and transmits the target object information to the wearable device, so that the wearable device determines the object to be identified according to the target object information, and reaches a preset condition. Positioning the object to be identified and highlighting the object to be identified so that the user can find the right one in time The object can be seen, and the implementation method of the embodiment is simple and effective, and can help the user to find the desired object very conveniently.
  • FIG. 8 is a block diagram of an apparatus for identifying an object, which is applicable to a wearable device, as shown in FIG. 8, the apparatus for identifying an object includes a determination module 81 and a display module 82, according to an exemplary embodiment.
  • the determination module 81 is configured to determine an object to be identified.
  • the display module 82 is configured to locate the object to be identified determined by the determination module 81 when the preset condition is reached, and highlight the object to be identified.
  • FIG. 9A is a block diagram of another apparatus for identifying an object according to an exemplary embodiment.
  • the determining module 81 may include:
  • the first determining sub-module 811 is configured to identify the current object, and query the pre-stored object matching relationship table according to the current object information to determine the object to be identified; or
  • the second determining sub-module 812 is configured to obtain object information corresponding to the time and/or location parameter according to the pre-stored behavior information, and query the pre-stored object matching relationship table according to the object information to determine the to-be-corresponding to the time and/or location parameter.
  • the identified object or
  • the third determining sub-module 813 is configured to receive the target object information sent by the image recognition device, and query the pre-stored object matching relationship table according to the target object information to determine the object to be identified.
  • FIG. 9B is a block diagram of another apparatus for identifying an object according to an exemplary embodiment. As shown in FIG. 9B, based on the embodiment shown in FIG. 9A, the apparatus may further include:
  • the first saving module 83 is configured to: before the determining module 81 determines the object to be identified, receive and save the object matching relationship table, wherein the object matching relationship table includes a correspondence relationship between the matched objects.
  • FIG. 9C is a block diagram of another apparatus for recognizing an object according to an exemplary embodiment. As shown in FIG. 9C, on the basis of the embodiment shown in FIG. 9A, the apparatus may further include:
  • the second saving module 84 is configured to: before the second determining sub-module 812 obtains the object information corresponding to the time and/or the location parameter according to the pre-stored behavior information, receive the behavior information input by the user, and save the behavior information; or Collect user behavior information and save behavior information.
  • FIG. 9D is a block diagram of another apparatus for recognizing an object according to an exemplary embodiment.
  • the display module 82 includes:
  • the first detecting sub-module 821 is configured to detect that the changing angle of the wearable device exceeds a preset angle threshold
  • the second detection sub-module 822 is configured to detect that the highlight button on the wearable device is turned on.
  • the display module 82 in FIG. 9A may also include a first detection sub-module 821 or a second detection sub-module 822, but is not shown in the drawings.
  • FIG. 9E is a block diagram of another apparatus for identifying an object according to an exemplary embodiment.
  • the display module 82 may include:
  • the third detecting sub-module 823 is configured to detect that the current time reaches the time recorded in the pre-stored behavior information and/ Or the current location is detected as the location recorded in the corresponding behavior information.
  • FIG. 9F is a block diagram of another apparatus for recognizing an object according to an exemplary embodiment. As shown in FIG. 9F, based on the embodiment shown in FIG. 8, the display module 82 may include:
  • a first display sub-module 824 configured to zoom in on part or all of the object to be identified
  • the second display sub-module 825 is configured to flash display the object to be identified.
  • FIG. 10 is a block diagram of still another apparatus for identifying an object, as shown in FIG. 10, including an obtaining module 91 and a transceiver module 92, as shown in FIG.
  • the acquisition module 91 is configured to obtain target object information.
  • the sending module 92 is configured to send the target object information obtained by the obtaining module to the wearable device, so that the wearable device determines the object to be identified according to the target object information, and locates the object to be identified when the preset condition is reached, and Highlight the object to be identified.
  • FIG. 11A is a block diagram of still another apparatus for recognizing an object according to an exemplary embodiment.
  • the obtaining module 91 includes:
  • Scanning sub-module 911 configured to scan object information within a current field of view
  • the confirmation sub-module 912 is configured to confirm whether the object information obtained by scanning by the scanning sub-module 911 is located in the pre-stored target object information table, and if so, confirm that the object information is the target object information.
  • FIG. 11B is a block diagram of another apparatus for identifying an object according to an exemplary embodiment. As shown in FIG. 11B, on the basis of the embodiment shown in FIG. 11A, the obtaining module 91 may further include:
  • the save submodule 913 is configured to receive and save the target object information table before the confirmation submodule 912 confirms whether the object information obtained by the scan is located in the pre-stored target object information table, wherein the target object information table includes the object to be identified Matching object information.
  • FIG. 12 is a block diagram of an apparatus suitable for identifying an object, according to an exemplary embodiment.
  • device 1200 can be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, fitness device, personal digital assistant, smart glasses or camera, and the like.
  • apparatus 1200 can include one or more of the following components: processing component 1202, memory 1204, power component 1206, multimedia component 1208, audio component 1210, input/output (I/O) interface 1212, sensor component 1214, And a communication component 1216.
  • Processing component 1202 typically controls the overall operation of device 1200, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • Processing component 1202 can include one or more processors 1220 to execute instructions to perform all or part of the steps of the above described methods.
  • processing component 1202 can include one or more modules to facilitate interaction between component 1202 and other components.
  • processing component 1202 can include a multimedia module to facilitate interaction between multimedia component 1208 and processing component 1202.
  • Memory 1204 is configured to store various types of data to support operation at device 1200.
  • the display of these data Examples include instructions for any application or method operating on device 1200, contact data, phone book data, messages, pictures, videos, and the like.
  • the memory 1204 can be implemented by any type of volatile or non-volatile storage device or a 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, 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
  • Disk Disk or Optical Disk.
  • Power component 1206 provides power to various components of device 1200.
  • Power component 1206 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for device 1200.
  • Multimedia component 1208 includes a screen between the device 1200 and a user that provides an output interface.
  • the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor may sense not only the boundary of the touch or sliding action, but also the duration and pressure associated with the touch or slide operation.
  • the multimedia component 1208 includes a front camera and/or a rear camera. When the device 1200 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 1210 is configured to output and/or input an audio signal.
  • audio component 1210 includes a microphone (MIC) that is configured to receive an external audio signal when device 1200 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode.
  • the received audio signal may be further stored in memory 1204 or transmitted via communication component 1216.
  • audio component 1210 also includes a speaker for outputting an audio signal.
  • the I/O interface 1212 provides an interface between the processing component 1202 and the 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, a home button, a volume button, a start button, and a lock button.
  • Sensor assembly 1214 includes one or more sensors for providing status assessment of various aspects to device 1200.
  • sensor assembly 1214 can detect an open/closed state of device 1200, a relative positioning of components, such as the display and keypad of device 1200, and sensor component 1214 can also detect a change in position of one component of device 1200 or device 1200. The presence or absence of contact by the user with the device 1200, the orientation or acceleration/deceleration of the device 1200 and the temperature change of the device 1200.
  • Sensor assembly 1214 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 1214 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor assembly 1214 can also include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 1216 is configured to facilitate wired or wireless communication between device 1200 and other devices.
  • the device 1200 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof.
  • the communication component 1216 receives broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel.
  • the communication component 1216 further includes a near field communication (NFC) module, To promote short-range communication.
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • device 1200 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 gate array (FPGA), controller, microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A gate array
  • controller microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • non-transitory computer readable storage medium comprising instructions, such as a memory 1204 comprising instructions executable by processor 1220 of apparatus 1200 to perform the above-described method of identifying an object.
  • the non-transitory computer readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.

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Abstract

一种识别物体的方法及装置,其中,识别物体的方法包括:确定待识别的物体(S101);以及当达到预设条件时,定位到待识别的物体,并突出显示待识别的物体(S102)。上述识别物体的方法及装置,通过确定待识别的物体,并在达到预设条件时,定位到待识别的物体,并突出显示待识别的物体,以使用户及时找到对应的物体,由此可见,其实现手段简单、有效,可以帮助用户非常方便地找到所需要的物体。

Description

识别物体的方法及装置
本申请基于申请号为CN 201510253929.X、申请日为2015年5月18日的中国专利申请提出,并要求该中国专利申请的优先权,该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本公开涉及穿戴式设备技术领域,尤其涉及一种识别物体的方法及装置。
背景技术
现实生活中,对于遥控器、水果刀等常用但容易随便放置的物体,有时会因忘记放置的位置或被他人挪动而不容易找到,这给使用者带来不必要的麻烦。
目前,主要采用声控的方法来寻找物体,其实现过程为:在物体上设置一个声控装置,当满足触发条件时,物体上的声控装置就被开启,从而可以发出声音,这样,使用者便可以找到物体。
但这种方式需要提前在物体上设置声控装置,且如果需要寻找的物体比较多,则所需要的声控装置也会比较多,实现手段复杂、不方便。因此,目前急需提供一种简单、有效地寻找物体的方式。
发明内容
本公开实施例提供一种识别物体的方法及装置,用以解决目前寻找物体的手段复杂和不方便的问题。
根据本公开实施例的第一方面,提供一种识别物体的方法,该方法应用于穿戴式设备上,该方法包括:
确定待识别的物体;以及
当达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
在一实施例中,确定待识别的物体,可包括:
识别当前物体,并根据当前物体信息查询预存的物体匹配关系表确定待识别的物体;或者
根据预存的行为信息获得与时间和/或地点参数对应的物体信息,并根据物体信息查询预存的物体匹配关系表确定与时间和/或地点参数对应的待识别的物体;或者
接收图像识别装置发送的目标物体信息,并根据目标物体信息查询预存的物体匹配关系表确定待识别的物体。
在一实施例中,在确定待识别的物体之前,该方法还可包括:
保存物体匹配关系表,其中,物体匹配关系表中包含相匹配的物体之间的对应关系。
在一实施例中,在根据预存的行为信息获得与时间和/或地点参数对应的物体信息之前,该方法还可包括:
接收用户输入的行为信息,并保存行为信息;或者
采集用户的行为信息,并保存行为信息。
在一实施例中,达到预设条件,可包括:
检测到穿戴式设备的变化角度超过预设角度阈值;或者
检测到穿戴式设备上的突出显示按键被开启。
在一实施例中,达到预设条件,可包括:
检测到当前时间达到预存的行为信息中记录的时间;和/或
检测到当前地点为对应行为信息中记录的地点。
在一实施例中,突出显示待识别的物体,可包括:
放大显示待识别的物体的部分或全部;或者
闪烁显示待识别的物体。
根据本公开实施例的第二方面,提供一种识别物体的方法,包括:
获得目标物体信息;以及
向穿戴式设备发送所述目标物体信息,以使所述穿戴式设备根据所述目标物体信息确定待识别的物体,并在达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
在一实施例中,所述获得目标物体信息,可包括:
扫描当前视野范围内的物体信息;以及
确认扫描获得的物体信息是否位于预存的目标物体信息表中,若位于,则确认所述物体信息为目标物体信息。
在一实施例中,在所述确认扫描获得的物体信息是否位于预存的目标物体信息表中之前,该方法还可包括:
接收并保存所述目标物体信息表,其中,所述目标物体信息表中包含与待识别物体匹配的物体信息。
根据本公开实施例的第三方面,提供一种识别物体的装置,该装置应用于穿戴式设备上,该装置包括:
确定模块,被配置为确定待识别的物体;以及
显示模块,被配置为当达到预设条件时,定位到所述确定模块确定的所述待识别的物体,并突出显示所述待识别的物体。
在一实施例中,所述确定模块可包括:
第一确定子模块,被配置为识别当前物体,并根据当前物体信息查询预存的物体匹配关系表确定所述待识别的物体;或者
第二确定子模块,被配置为根据预存的行为信息获得与时间和/或地点参数对应的物 体信息,并根据所述物体信息查询预存的物体匹配关系表确定与时间和/或地点参数对应的待识别的物体;或者
第三确定子模块,被配置为接收图像识别装置发送的目标物体信息,并根据所述目标物体信息查询预存的物体匹配关系表确定所述待识别的物体。
在一实施例中,所述装置还可包括:
第一保存模块,被配置为:在所述确定模块确定所述待识别的物体之前,接收并保存所述物体匹配关系表,其中,所述物体匹配关系表中包含相匹配的物体之间的对应关系。
在一实施例中,所述装置还可包括:
第二保存模块,被配置为:在所述第二确定子模块根据预存的行为信息获得与时间和/或地点参数对应的物体信息之前,接收用户输入的行为信息,并保存所述行为信息;或者,采集用户的行为信息,并保存所述行为信息。
在一实施例中,所述显示模块可包括:
第一检测子模块,被配置为检测到所述穿戴式设备的变化角度超过预设角度阈值;或者
第二检测子模块,被配置为检测到所述穿戴式设备上的突出显示按键被开启。
在一实施例中,所述显示模块可包括:
第三检测子模块,被配置为检测到当前时间达到预存的行为信息中记录的时间;和/或
检测到当前地点为对应行为信息中记录的地点。
在一实施例中,所述显示模块可包括:
第一显示子模块,被配置为放大显示所述待识别的物体的部分或全部;或者
第二显示子模块,被配置为闪烁显示所述待识别的物体。
根据本公开实施例的第四方面,提供一种识别物体的装置,包括:
获得模块,被配置为获得目标物体信息;以及
发送模块,被配置为向穿戴式设备发送所述获得模块获得的所述目标物体信息,以使所述穿戴式设备根据所述目标物体信息确定待识别的物体,并在达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
在一实施例中,所述获得模块包括:
扫描子模块,被配置为扫描当前视野范围内的物体信息;以及
确认子模块,被配置为确认所述扫描子模块扫描获得的物体信息是否位于预存的目标物体信息表中,若位于,则确认所述物体信息为目标物体信息。
在一实施例中,所述获得模块还包括:
保存子模块,被配置为在所述确认子模块确认扫描获得的物体信息是否位于预存的目标物体信息表中之前,接收并保存所述目标物体信息表,其中,所述目标物体信息表中包含与待识别物体匹配的物体信息。
根据本公开实施例的第五方面,提供一种识别物体的装置,包括:
处理器;
用于存储处理器可执行指令的存储器;
其中,处理器被配置为:
确定待识别的物体;以及
当达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
根据本公开实施例的第六方面,提供一种识别物体的装置,包括:
处理器;
用于存储处理器可执行指令的存储器;
其中,处理器被配置为:
获得目标物体信息;以及
向穿戴式设备发送所述目标物体信息,以使所述穿戴式设备根据所述目标物体信息确定待识别的物体,并在达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
本公开的实施例提供的技术方案可以包括以下有益效果:通过确定待识别的物体,并在达到预设条件时,定位到待识别的物体,并突出显示待识别的物体,以使用户及时找到对应的物体,由此可见,本实施例的实现手段简单、有效,可以帮助用户非常方便地找到所需要的物体。
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,并不能限制本公开。
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,示出了符合本发明的实施例,并与说明书一起用于解释本发明的原理。
图1是根据一示例性实施例示出的一种识别物体的方法的流程图。
图2是根据一示例性实施例示出的一种识别物体的方法的场景图。
图3是根据一示例性实施例示出的另一种识别物体的方法的流程图。
图4是根据一示例性实施例示出的另一种识别物体的方法的流程图。
图5是根据一示例性实施例示出的另一种识别物体的方法的场景图。
图6是根据一示例性实施例示出的又一种识别物体的方法的流程图。
图7是根据一示例性实施例示出的再一种识别物体的方法的流程图。
图8是根据一示例性实施例示出的一种识别物体的装置的框图。
图9A是根据一示例性实施例示出的另一种识别物体的装置的框图。
图9B是根据一示例性实施例示出的另一种识别物体的装置的框图。
图9C是根据一示例性实施例示出的另一种识别物体的装置的框图。
图9D是根据一示例性实施例示出的另一种识别物体的装置的框图。
图9E是根据一示例性实施例示出的另一种识别物体的装置的框图。
图9F是根据一示例性实施例示出的另一种识别物体的装置的框图。
图10是根据一示例性实施例示出的又一种识别物体的装置的框图。
图11A是根据一示例性实施例示出的再一种识别物体的装置的框图。
图11B是根据一示例性实施例示出的再一种识别物体的装置的框图。
图12是根据一示例性实施例示出的一种适用于识别物体的装置的框图。
具体实施方式
这里将详细地对示例性实施例进行说明,其示例表示在附图中。下面的描述涉及附图时,除非另有表示,不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本发明相一致的所有实施方式。相反,它们仅是与如所附权利要求书中所详述的、本发明的一些方面相一致的装置和方法的例子。
图1是根据一示例性实施例示出的识别物体的方法的流程图,如图1所示,该识别物体的方法可应用于穿戴式设备上,其中,该穿戴式设备可以包括但不限于智能眼镜、智能头盔等,该识别物体的方法包括以下步骤S101-S102:
在步骤S101中,确定待识别的物体。
在该实施例中,穿戴式设备确定待识别的物体可以包括多种方式,例如,可以先识别当前物体,并根据当前物体信息查询预存的物体匹配关系表来确定待识别的物体。
举例而言,如果用户想要寻找电视机的遥控器,可以先戴上智能眼镜,然后注视电视机一段时间例如3秒,以便智能眼镜识别出当前物体是电视机,然后查询物体匹配关系表即可确定当前待识别的物体,其中,物体匹配关系表中保存的是相匹配的物体间的对应关系。
需要说明的是,之所以需要注视当前物体例如电视机一段时间例如3秒以上,是为了提高识别的效率,即假设用户戴上智能眼镜后想寻找与物体A相匹配的物体,但他无意之中先注视了B物体1秒钟,如果不对注视的时间进行限制而直接进行识别,智能眼镜就会先识别物体B,这无疑会降低智能眼镜的识别效率。
另外,在查询物体匹配关系表之前,该方法还可以包括:保存上述物体匹配关系表。
在步骤S102中,当达到预设条件时,定位到待识别的物体,并突出显示待识别的物体。
在该实施例中,预设条件是指触发穿戴式设备突出显示物体的条件,例如可以是穿戴式设备的变化角度超过预设角度阈值,其中,该预设角度阈值可以根据需要灵活设置;也可以是穿戴式设备上的突出显示按键被开启,等等。
当智能眼镜达到突出显示物体的条件时,可以自动找到待识别物体例如遥控器的位置,然后在对应的位置突出显示该物体,以便用户及时找到该物体。其中,对应的位置可 以是与该物体的距离在预设范围内的位置,其中,预设范围可以是1厘米、3厘米等,具体可根据物体的大小等因素灵活设置;突出显示物体的方式可以是放大显示该物体,也可以是放大显示该物体的局部,还可以是闪烁显示该物体,即先放大、再缩小、再放大显示该物体等,以上仅为突出显示的示例,本实施例并不对突出显示的方式进行限制。
下面结合图2对本公开进行示例性说明,如图2所示,当用户找不到电视机的遥控器时,可以戴上智能眼镜21,然后注视电视机22一段时间例如5秒钟,智能眼镜21会识别出用户当前注视的物体是电视机22,然后查询物体匹配关系表确定用户想要寻找的物体(也即智能眼镜需要识别的物体)是与电视机22匹配的遥控器23,当用户转头即智能眼镜21检测到自己的变化角度大于预设角度阈值,换言之,达到突出显示物体的触发条件时,定位到遥控器23,并在视野内放大显示该遥控器23,放大显示的方式可以如图2所示,为在遥控器23所在的位置弹出一个气泡,然后在气泡中显示一个放大的遥控器。
由此可见,通过上述方法,用户可以方便、及时地找到所需物体,并且尤其适合用户视力不好或用户所处环境光线差或者待识别物体附近物体较多等情况。
上述识别物体的方法实施例,通过确定待识别的物体,并在达到预设条件时,定位到待识别的物体,并突出显示待识别的物体,以使用户及时找到对应的物体,由此可见,本实施例的实现手段简单、有效,可以帮助用户非常方便地找到所需要的物体。
在一实施例中,确定待识别的物体,可包括:
识别当前物体,并根据当前物体信息查询预存的物体匹配关系表确定待识别的物体;或者
根据预存的行为信息获得与时间和/或地点参数对应的物体信息,并根据物体信息查询预存的物体匹配关系表确定与时间和/或地点参数对应的待识别的物体;或者
接收图像识别装置发送的目标物体信息,并根据目标物体信息查询预存的物体匹配关系表确定待识别的物体。
在一实施例中,在确定待识别的物体之前,该方法还可包括:
保存物体匹配关系表,其中,物体匹配关系表中包含相匹配的物体之间的对应关系。
在一实施例中,在根据预存的行为信息获得与时间和/或地点参数对应的物体信息之前,该方法还可包括:
接收用户输入的行为信息,并保存行为信息;或者
采集用户的行为信息,并保存行为信息。
在一实施例中,达到预设条件,可包括:
检测到穿戴式设备的变化角度超过预设角度阈值;或者
检测到穿戴式设备上的突出显示按键被开启。
在一实施例中,达到预设条件,可包括:
检测到当前时间达到预存的行为信息中记录的时间;和/或
检测到当前地点为对应行为信息中记录的地点。
在一实施例中,突出显示待识别的物体,可包括:
放大显示待识别的物体的部分或全部;或者
闪烁显示待识别的物体。
具体如何简单、有效地识别物体,请参考后续实施例。
至此,本公开实施例提供的上述方法,可以帮助用户非常方便地找到所需要的物体。
下面以具体实施例来说明本公开实施例提供的技术方案。
图3是根据一示例性实施例示出的另一种识别物体的方法的流程图,如图3所示,包括如下步骤S301-S303:
在步骤S301中,获得并保存用户的行为信息。
在该实施例中,穿戴式设备例如智能眼镜可以接收用户手动输入的行为信息,并保存该行为信息,也可以通过时间同步、GPS定位、画面识别等方式自动记录用户的行为信息。
其中,行为信息可以是用户在某段时间、某个地点执行的与某个物体有关的行为,例如,用户喜欢于每周五晚7点-11点在家里的客厅看球赛;也可以是用户在某段时间执行的与某个物体有关的行为,可以是用户在某个地点执行的与某个物体有关的行为。
在步骤S302中,根据预存的行为信息获得与时间和/或地点参数对应的物体信息,并根据物体信息查询预存的物体匹配关系表确定与时间和/或地点参数对应的待识别的物体。
在该实施例中,穿戴式设备例如智能眼镜可以基于预存的行为信息获得与时间和/或地点参数对应的物体信息,例如,根据“用户喜欢于每周五晚7点-11点在家里的客厅看球赛”这条行为信息,获得与每周五晚7点-11点、家里客厅对应的物体信息是电视机,然后根据电视机和物体匹配关系表获知待识别的物体为遥控器。
在步骤S303中,当达到预设条件时,定位到待识别的物体,并突出显示待识别的物体。
在该实施例中,智能眼镜检测到当前时间达到预存的行为信息中记录的时间和/或当前地点为到预存的行为信息中记录的地点时,自动找到待识别物体例如遥控器的位置,然后在对应的位置突出显示该物体,以便用户及时找到该物体。其中,对应的位置可以是与该物体的距离在预设范围内的位置,其中,预设范围可以是2厘米、4厘米等;突出显示物体的方式可以是放大显示该物体,也可以是放大显示该物体的局部,还可以是闪烁显示该物体,即先放大、再缩小、再放大显示该物体等。
由此可见,上述实施例中,穿戴式设备例如智能眼镜可以根据用户记录的行为信息,在所记录的特定时间内对用户寻找的物体进行突出显示,以方便用户找到所需物体。
图4是根据一示例性实施例示出的另一种识别物体的方法的流程图。如图4所示,包括如下步骤S401-S403:
在步骤S401中,接收并保存物体匹配关系表。
在该实施例中,穿戴式设备例如智能眼镜可以接收用户输入的物体匹配关系表,并保 存该物体匹配关系表。
在步骤S402中,接收图像识别装置发送的目标物体信息,并根据目标物体信息查询上述物体匹配关系表确定待识别的物体。
在该实施例中,当用户通过穿戴式设备例如智能眼镜识别物体时,存在智能眼镜看不到该物体的情况,例如,用户在吸烟时,智能眼镜无法设别到香烟,为了解决该问题,可借助其他装置即摄像头等图像识别装置识别目标物体例如香烟,然后向智能眼镜发送目标物体信息,智能眼镜接收到该目标物体信息后,通过查询上述物体匹配关系表确定待识别的物体。
需要说明的是,穿戴式设备例如智能眼镜可以同时识别多个物体,例如可以通过上述方式识别与香烟匹配的物体即打火机,也可以通过图1或图3所示实施例的方式识别与电视剧匹配的物体即遥控器。
在步骤S403中,当达到预设条件时,定位到待识别的物体,并突出显示待识别的物体。
在该实施例中,当穿戴式设备的变化角度超过预设角度阈值例如30度,可以自动找到待识别物体例如遥控器的位置,然后在对应的位置突出显示该物体;也可以在穿戴式设备上的突出显示按键被开启时,自动找到待识别物体例如遥控器的位置,然后在对应的位置突出显示该物体。
其中,突出显示物体的方式可以是放大显示该物体,也可以是放大显示该物体的局部,还可以是闪烁显示该物体等。
下面结合图5对本公开进行示例性说明,如图5所示,当用户在客厅看电视时,嘴上叼着香烟50,但找不到打火机,用户戴上智能眼镜51以寻找打火机,可是智能眼镜51识别不到香烟,但是位于客厅中的摄像头52可以识别到香烟50,并确认识别到的香烟50位于摄像头52中保存的目标物体信息表中,于是通过蓝牙、无线保真(wifi)等方式向智能眼镜51发送香烟50的信息,智能眼镜接收到香烟50的信息后,通过查询预存的物体匹配关系表,获得与香烟50匹配的物体为打火机,于是在视野内自动放大显示打火机。
由此可见,借助摄像头等图像识别装置和智能眼镜,用户可以方便地找到所需物体。
图6是根据一示例性实施例示出的又一种识别物体的方法的流程图,该方法可应用于图像识别装置上,其中,图像识别装置可包括但不限于摄像头,该方法包括以下步骤S601-S602:
在步骤S601中,获得目标物体信息。
在该实施例中,目标物体信息是指智能眼镜无法识别到的物体,也即与待寻找物体相匹配的物体,例如图5中的香烟。
在步骤S602中,向穿戴式设备发送目标物体信息,以使穿戴式设备根据目标物体信息确定待识别的物体,并在达到预设条件时,定位到待识别的物体,并突出显示待识别的物体。
在该实施例中,图像识别装置在获得目标物体信息后,可以通过蓝牙、wifi等方式向穿戴式设备例如智能眼镜发送目标物体信息。
穿戴式设备在接收到目标物体信息后确定待识别的物体,并突出显示待识别的物体的过程可参见图1所示实施例,此处不赘述。
上述识别物体的方法实施例,通过获得目标物体信息,并向穿戴式设备发送目标物体信息,使得穿戴式设备根据目标物体信息确定待识别的物体,并在达到预设条件时,定位到待识别的物体,并突出显示待识别的物体,以使用户及时找到对应的物体,由此可见,本实施例的实现手段简单、有效,可以帮助用户非常方便地找到所需要的物体。
在一实施例中,获得目标物体信息,可包括:
扫描当前视野范围内的物体信息,并确认扫描获得的物体信息是否位于预存的目标物体信息表中,若位于,则确认物体信息为目标物体信息。
在一实施例中,在确认扫描获得的物体信息是否位于预存的目标物体信息表中之前,还包括:
接收并保存目标物体信息表,其中,目标物体信息表中包含与待识别物体匹配的物体信息。
图7是根据一示例性实施例示出的再一种识别物体的方法的流程图,该方法可应用于摄像头上,该方法包括以下步骤S701-S703:
在步骤S701中,接收并保存目标物体信息表。
在该实施例中,摄像头保存目标物体信息表,是为了确定识别出的物体是否为目标物体。
在步骤S702中,扫描当前视野范围内的物体信息,并在确认扫描获得的物体信息位于预存的目标物体信息表中时,确认该物体信息为目标物体信息。
在该实施例中,摄像头扫描当前视野范围内的物体信息,假设扫描到物体A,若物体A位于目标物体信息表中,则该物体A是目标物体,反之,若物体A没有位于目标物体信息表中,则该物体A不是目标物体。
在步骤S703中,向穿戴式设备发送目标物体信息,以使穿戴式设备根据目标物体信息确定待识别的物体,并在达到预设条件时,定位到待识别的物体,并突出显示待识别的物体。
在该实施例中,摄像头在确定物体A是目标物体之后,向穿戴式设备例如智能眼镜发送物体A的信息,穿戴式设备在接收到物体A例如香烟的信息后,确定与香烟匹配的信息为打火机,并当用户转头时即智能眼镜变化的角度大于预设角度阈值时,闪烁显示打火机。
上述识别物体的方法实施例,通过保存目标物体信息表以获得目标物体信息,并向穿戴式设备发送目标物体信息,使得穿戴式设备根据目标物体信息确定待识别的物体,并在达到预设条件时,定位到待识别的物体,并突出显示待识别的物体,以使用户及时找到对 应的物体,由此可见,本实施例的实现手段简单、有效,可以帮助用户非常方便地找到所需要的物体。
图8是根据一示例性实施例示出的一种识别物体的装置的框图,该装置可应用于穿戴式设备上,如图8所示,该识别物体的装置包括确定模块81和显示模块82。
确定模块81被配置为确定待识别的物体。
显示模块82被配置为当达到预设条件时,定位到确定模块81确定的待识别的物体,并突出显示待识别的物体。
图9A是根据一示例性实施例示出的另一种识别物体的装置的框图,如图9A所示,在上述图8所示实施例的基础上,确定模块81可包括:
第一确定子模块811,被配置为识别当前物体,并根据当前物体信息查询预存的物体匹配关系表确定待识别的物体;或者
第二确定子模块812,被配置为根据预存的行为信息获得与时间和/或地点参数对应的物体信息,并根据物体信息查询预存的物体匹配关系表确定与时间和/或地点参数对应的待识别的物体;或者
第三确定子模块813,被配置为接收图像识别装置发送的目标物体信息,并根据目标物体信息查询预存的物体匹配关系表确定待识别的物体。
图9B是根据一示例性实施例示出的另一种识别物体的装置的框图,如图9B所示,在上述图9A所示实施例的基础上,该装置还可包括:
第一保存模块83,被配置为:在确定模块81确定待识别的物体之前,接收并保存物体匹配关系表,其中,物体匹配关系表中包含相匹配的物体之间的对应关系。
图9C是根据一示例性实施例示出的另一种识别物体的装置的框图,如图9C所示,在上述图9A所示实施例的基础上,该装置还可包括:
第二保存模块84,被配置为:在第二确定子模块812根据预存的行为信息获得与时间和/或地点参数对应的物体信息之前,接收用户输入的行为信息,并保存行为信息;或者,采集用户的行为信息,并保存行为信息。
图9D是根据一示例性实施例示出的另一种识别物体的装置的框图,如图9D所示,在上述图8所示实施例的基础上,该显示模块82包括:
第一检测子模块821,被配置为检测到穿戴式设备的变化角度超过预设角度阈值;或者
第二检测子模块822,被配置为检测到穿戴式设备上的突出显示按键被开启。
另外,图9A中的显示模块82也可包括第一检测子模块821或者第二检测子模块822,但图中未示出。
图9E是根据一示例性实施例示出的另一种识别物体的装置的框图,如图9E所示,在上述图9C所示实施例的基础上,显示模块82可包括:
第三检测子模块823,被配置为检测到当前时间达到预存的行为信息中记录的时间和/ 或检测到当前地点为对应行为信息中记录的地点。
图9F是根据一示例性实施例示出的另一种识别物体的装置的框图,如图9F所示,在上述图8所示实施例的基础上,显示模块82可包括:
第一显示子模块824,被配置为放大显示待识别的物体的部分或全部;或者
第二显示子模块825,被配置为闪烁显示待识别的物体。
图10是根据一示例性实施例示出的又一种识别物体的装置的框图,如图10所示,该识别物体的装置包括获得模块91和收发模块92。
获得模块91被配置为获得目标物体信息。
发送模块92被配置为向穿戴式设备发送获得模块获得的目标物体信息,以使穿戴式设备根据目标物体信息确定待识别的物体,并在达到预设条件时,定位到待识别的物体,并突出显示待识别的物体。
图11A是根据一示例性实施例示出的再一种识别物体的装置的框图,如图11A所示,在上述图10所示实施例的基础上,获得模块91包括:
扫描子模块911,被配置为扫描当前视野范围内的物体信息;以及
确认子模块912,被配置为确认扫描子模块911扫描获得的物体信息是否位于预存的目标物体信息表中,若位于,则确认物体信息为目标物体信息。
图11B是根据一示例性实施例示出的再一种识别物体的装置的框图,如图11B所示,在上述图11A所示实施例的基础上,获得模块91还可包括:
保存子模块913,被配置为在确认子模块912确认扫描获得的物体信息是否位于预存的目标物体信息表中之前,接收并保存目标物体信息表,其中,目标物体信息表中包含与待识别物体匹配的物体信息。
关于上述实施例中的装置,其中各个模块、子模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述,此处将不做详细阐述说明。
图12是根据一示例性实施例示出的一种适用于识别物体的装置的框图。例如,装置1200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,智能眼镜或摄像头等。
参照图12,装置1200可以包括以下一个或多个组件:处理组件1202,存储器1204,电源组件1206,多媒体组件1208,音频组件1210,输入/输出(I/O)的接口1212,传感器组件1214,以及通信组件1216。
处理组件1202通常控制装置1200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。处理元件1202可以包括一个或多个处理器1220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1202可以包括一个或多个模块,便于处理组件1202和其他组件之间的交互。例如,处理部件1202可以包括多媒体模块,以方便多媒体组件1208和处理组件1202之间的交互。
存储器1204被配置为存储各种类型的数据以支持在设备1200的操作。这些数据的示 例包括用于在装置1200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1204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。
电力组件1206为装置1200的各种组件提供电力。电力组件1206可以包括电源管理系统,一个或多个电源,及其他与为装置1200生成、管理和分配电力相关联的组件。
多媒体组件1208包括在所述装置1200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动作的边界,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1208包括一个前置摄像头和/或后置摄像头。当设备1200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1210被配置为输出和/或输入音频信号。例如,音频组件1210包括一个麦克风(MIC),当装置1200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1204或经由通信组件1216发送。在一些实施例中,音频组件1210还包括一个扬声器,用于输出音频信号。
I/O接口1212为处理组件1202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1214包括一个或多个传感器,用于为装置1200提供各个方面的状态评估。例如,传感器组件1214可以检测到设备1200的打开/关闭状态,组件的相对定位,例如所述组件为装置1200的显示器和小键盘,传感器组件1214还可以检测装置1200或装置1200一个组件的位置改变,用户与装置1200接触的存在或不存在,装置1200方位或加速/减速和装置1200的温度变化。传感器组件1214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1214还可以包括光传感器,如CMOS或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1214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1216被配置为便于装置1200和其他设备之间有线或无线方式的通信。装置1200可以接入基于通信标准的无线网络,如WiFi,2G或3G,或它们的组合。在一个示例性实施例中,通信部件1216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,所述通信部件1216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,装置1200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,还提供了一种包括指令的非临时性计算机可读存储介质,例如包括指令的存储器1204,上述指令可由装置1200的处理器1220执行以完成上述识别物体的方法。例如,所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
本领域技术人员在考虑说明书及实践这里公开的公开后,将容易想到本公开的其它实施方案。本申请旨在涵盖本公开的任何变型、用途或者适应性变化,这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的,本公开的真正范围和精神由下面的权利要求指出。
应当理解的是,本公开并不局限于上面已经描述并在附图中示出的精确结构,并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。

Claims (22)

  1. 一种识别物体的方法,其特征在于,所述方法应用于穿戴式设备上,所述方法包括:
    确定待识别的物体;以及
    当达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
  2. 根据权利要求1所述的识别物体的方法,其特征在于,所述确定待识别的物体,包括:
    识别当前物体,并根据当前物体信息查询预存的物体匹配关系表确定所述待识别的物体;或者
    根据预存的行为信息获得与时间和/或地点参数对应的物体信息,并根据所述物体信息查询预存的物体匹配关系表确定与时间和/或地点参数对应的待识别的物体;或者
    接收图像识别装置发送的目标物体信息,并根据所述目标物体信息查询预存的物体匹配关系表确定所述待识别的物体。
  3. 根据权利要求2所述的识别物体的方法,其特征在于,在所述确定所述待识别的物体之前,所述方法还包括:
    接收并保存所述物体匹配关系表,其中,所述物体匹配关系表中包含相匹配的物体之间的对应关系。
  4. 根据权利要求2所述的识别物体的方法,其特征在于,在所述根据预存的行为信息获得与时间和/或地点参数对应的物体信息之前,所述方法还包括:
    接收用户输入的行为信息,并保存所述行为信息;或者
    采集用户的行为信息,并保存所述行为信息。
  5. 根据权利要求1或2所述的识别物体的方法,其特征在于,所述达到预设条件,包括:
    检测到所述穿戴式设备的变化角度超过预设角度阈值;或者
    检测到所述穿戴式设备上的突出显示按键被开启。
  6. 根据权利要求4所述的识别物体的方法,其特征在于,所述达到预设条件,包括:
    检测到当前时间达到预存的行为信息中记录的时间;和/或
    检测到当前地点为对应行为信息中记录的地点。
  7. 根据权利要求1所述的识别物体的方法,其特征在于,所述突出显示所述待识别的物体,包括:
    放大显示所述待识别的物体的部分或全部;或者
    闪烁显示所述待识别的物体。
  8. 一种识别物体的方法,其特征在于,所述方法包括:
    获得目标物体信息;以及
    向穿戴式设备发送所述目标物体信息,以使所述穿戴式设备根据所述目标物体信息确 定待识别的物体,并在达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
  9. 根据权利要求8所述的识别物体的方法,其特征在于,所述获得目标物体信息,包括:
    扫描当前视野范围内的物体信息;以及
    确认扫描获得的物体信息是否位于预存的目标物体信息表中,若位于,则确认所述物体信息为目标物体信息。
  10. 根据权利要求9所述的识别物体的方法,其特征在于,在所述确认扫描获得的物体信息是否位于预存的目标物体信息表中之前,所述方法还包括:
    接收并保存所述目标物体信息表,其中,所述目标物体信息表中包含与待识别物体匹配的物体信息。
  11. 一种识别物体的装置,其特征在于,所述装置应用于穿戴式设备上,所述装置包括:
    确定模块,被配置为确定待识别的物体;以及
    显示模块,被配置为当达到预设条件时,定位到所述确定模块确定的所述待识别的物体,并突出显示所述待识别的物体。
  12. 根据权利要求11所述的识别物体的装置,其特征在于,所述确定模块包括:
    第一确定子模块,被配置为识别当前物体,并根据当前物体信息查询预存的物体匹配关系表确定所述待识别的物体;或者
    第二确定子模块,被配置为根据预存的行为信息获得与时间和/或地点参数对应的物体信息,并根据所述物体信息查询预存的物体匹配关系表确定与时间和/或地点参数对应的待识别的物体;或者
    第三确定子模块,被配置为接收图像识别装置发送的目标物体信息,并根据所述目标物体信息查询预存的物体匹配关系表确定所述待识别的物体。
  13. 根据权利要求12所述的识别物体的装置,其特征在于,所述装置还包括:
    第一保存模块,被配置为:在所述确定模块确定所述待识别的物体之前,接收并保存所述物体匹配关系表,其中,所述物体匹配关系表中包含相匹配的物体之间的对应关系。
  14. 根据权利要求12所述的识别物体的装置,其特征在于,所述装置还包括:
    第二保存模块,被配置为:在所述第二确定子模块根据预存的行为信息获得与时间和/或地点参数对应的物体信息之前,接收用户输入的行为信息,并保存所述行为信息;或者,采集用户的行为信息,并保存所述行为信息。
  15. 根据权利要求11或12所述的识别物体的装置,其特征在于,所述显示模块包括:
    第一检测子模块,被配置为检测到所述穿戴式设备的变化角度超过预设角度阈值;或者
    第二检测子模块,被配置为检测到所述穿戴式设备上的突出显示按键被开启。
  16. 根据权利要求14所述的识别物体的装置,其特征在于,所述显示模块包括:
    第三检测子模块,被配置为检测到当前时间达到预存的行为信息中记录的时间;和/或
    检测到当前地点为对应行为信息中记录的地点。
  17. 根据权利要求11所述的识别物体的装置,其特征在于,所述显示模块包括:
    第一显示子模块,被配置为放大显示所述待识别的物体的部分或全部;或者
    第二显示子模块,被配置为闪烁显示所述待识别的物体。
  18. 一种识别物体的装置,其特征在于,所述装置包括:
    获得模块,被配置为获得目标物体信息;以及
    发送模块,被配置为向穿戴式设备发送所述获得模块获得的所述目标物体信息,以使所述穿戴式设备根据所述目标物体信息确定待识别的物体,并在达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
  19. 根据权利要求18所述的识别物体的装置,其特征在于,所述获得模块包括:
    扫描子模块,被配置为扫描当前视野范围内的物体信息;以及
    确认子模块,被配置为确认所述扫描子模块扫描获得的物体信息是否位于预存的目标物体信息表中,若位于,则确认所述物体信息为目标物体信息。
  20. 根据权利要求19所述的识别物体的装置,其特征在于,所述获得模块还包括:
    保存子模块,被配置为在所述确认子模块确认扫描获得的物体信息是否位于预存的目标物体信息表中之前,接收并保存所述目标物体信息表,其中,所述目标物体信息表中包含与待识别物体匹配的物体信息。
  21. 一种识别物体的装置,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:
    确定待识别的物体;以及
    当达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
  22. 一种识别物体的装置,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:
    获得目标物体信息;以及
    向穿戴式设备发送所述目标物体信息,以使所述穿戴式设备根据所述目标物体信息确定待识别的物体,并在达到预设条件时,定位到所述待识别的物体,并突出显示所述待识别的物体。
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