CN111160376A - Information processing method and device, electronic equipment and storage medium - Google Patents
Information processing method and device, electronic equipment and storage medium Download PDFInfo
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- CN111160376A CN111160376A CN201911418392.2A CN201911418392A CN111160376A CN 111160376 A CN111160376 A CN 111160376A CN 201911418392 A CN201911418392 A CN 201911418392A CN 111160376 A CN111160376 A CN 111160376A
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- 230000010365 information processing Effects 0.000 title claims abstract description 38
- 238000003672 processing method Methods 0.000 title claims abstract description 21
- 238000003860 storage Methods 0.000 title claims abstract description 13
- 238000009826 distribution Methods 0.000 claims abstract description 55
- 238000001514 detection method Methods 0.000 claims abstract description 40
- 238000000034 method Methods 0.000 claims description 24
- 238000012545 processing Methods 0.000 claims description 15
- 238000010586 diagram Methods 0.000 description 11
- 238000004590 computer program Methods 0.000 description 7
- 238000002310 reflectometry Methods 0.000 description 6
- 230000003068 static effect Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
- G06V10/464—Salient features, e.g. scale invariant feature transforms [SIFT] using a plurality of salient features, e.g. bag-of-words [BoW] representations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/145—Illumination specially adapted for pattern recognition, e.g. using gratings
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The embodiment of the application discloses an information processing method, which comprises the following steps: obtaining a plurality of reflection quantities; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object; determining distribution information of a plurality of reflection quantities corresponding to a plurality of areas; determining a type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute the target operation. The embodiment of the application also discloses an information processing device, electronic equipment and a storage medium.
Description
Technical Field
The present application relates to, but not limited to, the field of computer technologies, and in particular, to an information processing method, an information processing apparatus, an electronic device, and a storage medium.
Background
At present, when an electronic device detects whether a target object is a human body or an object through a sensor, the electronic device only judges according to a fluctuation value generated by the human body when the human body breathes. However, there is a problem of poor accuracy in determining the type of the target object based on only the body fluctuation value.
Disclosure of Invention
Embodiments of the present application are intended to provide an information processing method, an information processing apparatus, an electronic device, and a storage medium.
The technical scheme of the application is realized as follows:
an information processing method, the method comprising:
obtaining a plurality of reflection quantities; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object;
determining distribution information of a plurality of reflection quantities corresponding to the plurality of areas;
determining a type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute target operation.
Optionally, the determining the type of the target object based on the distribution information includes:
if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target areas of the plurality of areas is larger than the quantity of the reflection quantities changing along the second direction, determining that the type of the target object comprises a target type; wherein the target region includes a plurality of regions in the same direction among the plurality of regions, and the first direction and the second direction are opposite.
Optionally, based on the target type, controlling the working mode of the electronic device to switch from a first mode to a second mode; wherein the power consumption of the second mode is greater than the power consumption of the first mode.
Optionally, the image capturing module is in a standby state in the first mode, and the image capturing module captures an image in the second mode.
Optionally, after the operating mode of the electronic device is switched from the first mode to the second mode based on the target type, the method includes:
obtaining a variation value of a distance between the image acquisition module and an object with the target type within a target time length; wherein the target object comprises the object having the target type;
if the change value represents that the distance between the object with the target type and the image acquisition module is changed from a first distance to a second distance, controlling the electronic equipment to be switched from the second mode to the first mode; wherein the first distance is within a target distance range and the second distance is outside the target distance range.
Optionally, if the distribution information indicates that the number of the reflection quantities varying along the first direction in the target area of the plurality of areas is greater than the number of the reflection quantities varying along the second direction, determining that the type of the target object includes a target type includes:
if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target area is larger than the quantity of the reflection quantities changing along the second direction, obtaining a distance fluctuation value of the surface of the target object;
if the distance fluctuation value accords with a target fluctuation range, determining that the type of the target object comprises the target type; wherein the target fluctuation range has an association relation with a distance between the target object and the image acquisition module.
Optionally, if the distance fluctuation value meets a target fluctuation range, determining that the type of the target object includes the target type includes:
if the distance fluctuation value accords with the target fluctuation range, acquiring contour information of the target object;
based on the contour information, the target type is determined.
An information processing apparatus, comprising:
an obtaining unit configured to obtain a plurality of reflection amounts; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object;
a first processing unit, configured to determine distribution information of a plurality of reflection amounts corresponding to the plurality of areas;
a second processing unit for determining a type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute target operation.
An electronic device, the electronic device comprising:
a memory for storing executable instructions;
and the processor is used for executing the executable instructions stored in the memory to realize the information processing method.
A storage medium storing one or more programs executable by one or more processors to implement the steps of the above-described information processing method.
The information processing method, the information processing device, the electronic equipment and the storage medium provided by the embodiment of the application obtain a plurality of reflection quantities; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object; determining distribution information of a plurality of reflection quantities corresponding to a plurality of areas; determining a type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute target operation; the information processing method provided by the embodiment of the application can be adopted no matter which type the target object belongs to, so that the reflection quantity corresponding to each area after the detection light beam is reflected by different areas in a plurality of areas on the surface of the target object is obtained; furthermore, the type of the target object is determined based on the distribution information of each reflection amount, so that the condition that the type of the target object obtained by detection when the target object is static is inaccurate is avoided, meanwhile, the problem that the accuracy is poor when the type of the target object is determined only based on a body fluctuation value in the related technology is solved, the accuracy of type detection of the target object is improved, the intelligent degree of the electronic equipment is improved, and the operation of the electronic equipment is accurately controlled based on the type of the target object is further realized.
Drawings
Fig. 1 is a schematic flowchart of a transmission method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another transmission method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of distribution information of a plurality of reflection amounts according to an embodiment of the present disclosure;
FIG. 4 is a schematic representation of respiration-induced body fluctuations provided by embodiments of the present application;
fig. 5 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
An embodiment of the present application provides a management method, which is applied to an electronic device, and as shown in fig. 1, the management method includes the following steps:
The multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object. Here, the target object includes at least one object, that is, the number of target objects is at least one. In practical applications, such as in an indoor environment, the image capturing module emits a detection beam to a target object, such as a person or an object in a room, and the electronic device obtains reflection amounts of the detection beam corresponding to different areas after the detection beam is reflected by a plurality of areas on the surface of the person or the object in the room. That is, the different regions include at least one region corresponding to at least one object surface.
In some embodiments, the image acquisition module includes, but is not limited to, a time-of-flight ranging imaging camera (TOF ranging Cameras). The wavelength of the detection beam includes, but is not limited to, 950 nm.
In the embodiment of the present application, the detection light beam emitted by the image capturing module includes a plurality of sub-detection light beams, and the sub-detection light beams may be regularly arranged in a lattice shape, and thus, the detection light beam may be referred to as a light beam lattice.
In the embodiment of the present application, the electronic device may include a mobile terminal device such as a mobile phone, a tablet computer, a notebook computer, a Personal Digital Assistant (PDA), a camera, a wearable device, and a fixed terminal device such as a desktop computer and a home appliance.
And 102, determining distribution information of a plurality of reflection quantities corresponding to the plurality of areas.
In this embodiment of the application, the distribution information includes an association relationship between a plurality of reflection amounts corresponding to the plurality of areas and/or numerical information of the plurality of reflection amounts corresponding to the plurality of areas. After obtaining the multiple reflection quantities, the electronic device may determine distribution information of the multiple reflection quantities corresponding to the multiple areas, for example, analyze the multiple reflection quantities to obtain a correlation between the multiple reflection quantities corresponding to the multiple areas.
It should be noted that, the more sub detection beams included in the beam lattice, the higher the accuracy of the distribution information of the plurality of reflection amounts corresponding to the plurality of determined regions.
And 103, determining the type of the target object based on the distribution information.
Wherein the type of the target object is used for controlling the electronic equipment to execute the target operation.
In the embodiment of the application, the target object comprises at least one object, and the type of the target object comprises the type of the at least one object. Illustratively, when the target object includes a person and an object, the types of the target object include a first type that the person has and a second type that the object has.
In practical application, after the electronic device determines distribution information of a plurality of reflection quantities corresponding to a plurality of areas, the type of the target object is determined based on the distribution information, and then the electronic device controls the electronic device to execute target operation based on the type of the target object, so that the electronic device is accurately controlled.
The information processing method provided by the embodiment of the application obtains a plurality of reflection quantities; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object; determining distribution information of a plurality of reflection quantities corresponding to a plurality of areas; determining a type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute target operation; the information processing method provided by the embodiment of the application can be adopted no matter which type the target object belongs to, so that the reflection quantity corresponding to each area after the detection light beam is reflected by different areas in a plurality of areas on the surface of the target object is obtained; furthermore, the type of the target object is determined based on the distribution information of each reflection amount, so that the condition that the type of the target object obtained by detection when the target object is static is inaccurate is avoided, meanwhile, the problem that the accuracy is poor when the type of the target object is determined only based on a body fluctuation value in the related technology is solved, the accuracy of type detection of the target object is improved, the intelligent degree of the electronic equipment is improved, and the operation of the electronic equipment is accurately controlled based on the type of the target object is further realized.
An embodiment of the present application provides a management method, applied to an electronic device, and as shown in fig. 2, the method includes the following steps:
The multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object.
And step 203, if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target area of the plurality of areas is larger than the quantity of the reflection quantities changing along the second direction, determining that the type of the target object comprises a target type.
The target area comprises a plurality of areas in the same direction, and the first direction is opposite to the second direction. The type of the target object is used for controlling the electronic equipment to execute the target operation.
In the embodiment of the application, the number of the reflection amounts varying along the first direction in the target area is greater than the number of the reflection amounts varying along the second direction, including that the gradually increasing reflection amount is greater than the gradually decreasing reflection amount in the target area; or the amount of reflection within the target area that gradually decreases is greater than the amount of reflection that gradually increases.
Illustratively, in an implementation scenario, in an office environment, the light beam lattice emitted by the image acquisition module is an 8 × 8 lattice, and when the light beam lattice irradiates a target object, the target object includes a human body, a wall surface, a ceiling, and the like; different objects in the target object reflect the light beam to obtain the reflection amount corresponding to at least one area on the surface of the different objects. Referring to fig. 3, the electronic device determines distribution information of a plurality of reflection amounts corresponding to a plurality of areas of a surface of the target object, and further, the electronic device determines that the number of reflection amounts varying in the first direction is greater than the number of reflection amounts varying in the second direction within a target area of the plurality of areas, such as an area indicated by a dotted line box in fig. 3, based on the distribution information, and determines that the type of the target object includes a second type corresponding to a target type, such as a human body. Here, referring to fig. 3, the black circles correspond to positions where different light beams strike the target object surface, and here, by way of example only, the values beside the black circles correspond to the reflectivity corresponding to the reflection amount of the positions. Here, the distribution information of the reflectance may represent the distribution information of the reflection amount; as can be seen from the reflectivities in fig. 3, the reflectivities in the target region gradually increase from bottom to top along the direction indicated by the arrow, that is, the amount of the gradually increasing reflectivities in the target region is greater than the data of the gradually decreasing reflectivities, and thus, the accuracy in determining that the target object includes a human body is up to 70%.
In this embodiment of the application, if the distribution information represents that the number of the reflection amounts changing along the first direction in the target area of the plurality of areas is greater than the number of the reflection amounts changing along the second direction in step 203, it is determined that the type of the target object includes the target type, and the method may be implemented by the following steps:
step 203a, if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target area is larger than the quantity of the reflection quantities changing along the second direction, obtaining a distance fluctuation value of the surface of the target object.
In the embodiment of the application, when the electronic device determines that the quantity of the reflection quantities varying along the first direction in the target area represented by the distribution information is greater than the quantity of the reflection quantities varying along the second direction, it may be considered that the type of the target object is preliminarily determined, and in order to obtain a more accurate result, the electronic device obtains the distance fluctuation value of the surface of the target object.
Step 203b, if the distance fluctuation value conforms to the target fluctuation range, determining that the type of the target object comprises a target type.
The target fluctuation range and the distance between the target object and the image acquisition module have an association relationship.
In the embodiment of the application, the farther the distance between the target object and the image acquisition module is, the higher the detection precision of the image acquisition module is set. The higher the detection accuracy of the image acquisition module includes the more times the image acquisition module emits the light beam in a unit time and/or the more the number of the emitted light beams.
In the embodiment of the present application, referring to fig. 4, when a person breathes, the standard value of the body fluctuation is about 3mm and is an irregular sine wave curve, and when the electronic device detects the current distance between the electronic device and the target object with a detection accuracy that the measurement error is 1%, the detection accuracy changes according to the change of the current distance. For example, when the current distance is long, the detection accuracy is reduced, and the error becomes large; when the current distance is longer, the detection accuracy is improved, and the error is smaller, that is, the detection accuracy is associated with the current distance.
In some embodiments, the electronic device sets a target fluctuation range according to the distance between the target object and the image acquisition module, for example, the target fluctuation range is 2mm to 3.3mm, and the electronic device detects the distance fluctuation value of the surface of the target object within a target time period, for example, 5 seconds. And the electronic equipment further determines whether the distance fluctuation value accords with the target fluctuation range after obtaining the distance fluctuation value of the surface of the target object, and determines that the type of the target object comprises the target type under the condition that the distance fluctuation value accords with the target fluctuation range. Through a plurality of experiments of the inventor, the accuracy of determining the type of the target object based on the distribution information and the distance fluctuation value of the surface of the target object is up to more than 80%.
In this embodiment of the application, if the distance fluctuation value in step 203b conforms to the target fluctuation range, it is determined that the type of the target object includes a target type, and the method may be implemented by the following steps:
firstly, if the distance fluctuation value accords with the target fluctuation range, the contour information of the target object is obtained.
In the embodiment of the application, the electronic device may determine the profile of the target object based on the detection light beam emitted by the image acquisition module and the detection light beam reflected by the target object. Illustratively, when the wavelength of the detection light beam is 950nm, the reflectivity corresponding to the human body is in the range of 40% -80%.
Second, based on the contoured information, a target type is determined.
In the embodiment of the application, the accuracy of determining the type of the target object based on the distribution information, the distance fluctuation value of the surface of the target object and the contour information is over 95 percent through a plurality of experiments of the inventor.
And 204, controlling the working mode of the electronic equipment to be switched from the first mode to the second mode based on the target type.
Wherein the power consumption of the second mode is greater than the power consumption of the first mode.
In the embodiment of the application, the electronic equipment flexibly controls the working mode of the electronic equipment based on the determined target type, and realizes real-time adjustment of the power consumption of the electronic equipment, so that the power consumption is matched with the working mode of the electronic equipment. For example, the electronic device may be in a screen-off state in the first mode, and the electronic device may be in a screen-on state in the second mode.
In some embodiments, the image capture module is in a standby state in the first mode and performs image capture in the second mode. Here, the image acquisition module and the electronic device may be physically combined; of course, the image capture module and the electronic device may be physically separate. And the electronic equipment awakens the image acquisition module in a standby state based on the determined target type and controls the image acquisition module to enter an image acquisition stage.
And step 205, obtaining a variation value of the distance between the image acquisition module and the object with the target type in the target duration.
Wherein the target object comprises an object having a target type.
In the embodiment of the application, the electronic device can also track and detect the human body under the condition that the target object comprises the human body based on the contour information, and obtain the change value of the distance between the image acquisition module and the human body in the target duration.
And step 206, if the change value represents that the distance between the object with the target type and the image acquisition module is changed from the first distance to the second distance, controlling the electronic equipment to be switched from the second mode to the first mode.
Wherein the first distance is within the target distance range and the second distance is outside the target distance range.
In the embodiment of the application, the electronic device variation value represents that the distance between the object with the target type and the image acquisition module is changed from the first distance to the second distance, namely, the person leaves the target distance range, and then the electronic device is controlled to be switched from the second mode to the first mode to enter the low-power-consumption working mode. Therefore, the working mode of the electronic equipment is accurately controlled, and the intelligent degree of the electronic equipment is improved.
Therefore, the information processing method provided by the embodiment of the application avoids the situation that the type of the target object detected when the target object is static is inaccurate, solves the problem that the accuracy is poor when the type of the target object is determined only based on the body fluctuation value in the related art, improves the accuracy of type detection of the target object, improves the intelligent degree of the electronic equipment, and further realizes the accurate control of the operation of the electronic equipment based on the type of the target object.
It should be noted that, for the descriptions of the same steps and the same contents in this embodiment as those in other embodiments, reference may be made to the descriptions in other embodiments, which are not described herein again.
An embodiment of the present application provides an information processing apparatus, which can be applied to an information processing method provided in the embodiment corresponding to fig. 1 to 2, and as shown in fig. 5, the information processing apparatus 3 includes:
an obtaining unit 31 for obtaining a plurality of reflection amounts; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object;
a first processing unit 32 for determining distribution information of a plurality of reflection amounts corresponding to the plurality of areas;
a second processing unit 33 for determining the type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute the target operation.
In other embodiments of the present application, the second processing unit 33 is further configured to determine that the type of the target object includes a target type if the distribution information indicates that the number of reflection amounts varying along the first direction in the target area of the plurality of areas is greater than the number of reflection amounts varying along the second direction; the target area comprises a plurality of areas in the same direction, and the first direction is opposite to the second direction.
In other embodiments of the present application, the second processing unit 33 is further configured to control the operation mode of the electronic device to switch from the first mode to the second mode based on the target type; wherein the power consumption of the second mode is greater than the power consumption of the first mode.
In other embodiments of the present application, the image capturing module is in a standby state in the first mode, and the image capturing module performs image capturing in the second mode.
In other embodiments of the present application, the second processing unit 33 is further configured to obtain a variation value of a distance between the image acquisition module and an object with the target type within the target duration; wherein the target object comprises an object having a target type;
if the change value represents that the distance between the object with the target type and the image acquisition module is changed from a first distance to a second distance, the electronic equipment is controlled to be switched from the second mode to the first mode; wherein the first distance is within the target distance range and the second distance is outside the target distance range.
In other embodiments of the present application, the second processing unit 33 is further configured to obtain a distance fluctuation value of the target object surface if the distribution information indicates that the number of reflection amounts varying in the first direction in the target area is greater than the number of reflection amounts varying in the second direction;
if the distance fluctuation value accords with the target fluctuation range, determining that the type of the target object comprises a target type; the target fluctuation range and the distance between the target object and the image acquisition module have an association relationship.
In other embodiments of the present application, the second processing unit 33 is further configured to obtain the contour information of the target object if the distance fluctuation value conforms to the target fluctuation range;
based on the contoured information, a target type is determined.
Therefore, the information processing device provided by the embodiment of the application avoids the situation that the type of the target object detected when the target object is static is inaccurate, solves the problem that the accuracy is poor when the type of the target object is determined only based on the body fluctuation value in the related art, improves the accuracy of type detection of the target object, improves the intelligent degree of the electronic equipment, and further realizes the accurate control of the operation of the electronic equipment based on the type of the target object.
It should be noted that, in this embodiment, specific implementation processes of steps executed by each unit may refer to implementation processes in the information processing method provided in the embodiments corresponding to fig. 1 to 2, and are not described herein again.
An embodiment of the present application provides an electronic device, which can be applied to an information processing method provided in the embodiment corresponding to fig. 1 to 2, and as shown in fig. 6, the electronic device 4 (the electronic device 4 in fig. 6 corresponds to the information processing apparatus 3 in fig. 5) includes: a processor 41, a memory 42, and a communication bus 43, wherein:
the communication bus 43 is used to realize a communication connection between the processor 41 and the memory 42.
The processor 41 is configured to execute the information processing program stored in the memory 42 to implement the following steps:
obtaining a plurality of reflection quantities; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object;
determining distribution information of a plurality of reflection quantities corresponding to a plurality of areas;
determining a type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute the target operation.
In other embodiments of the present application, processor 41 is configured to execute an information processing program stored in memory 42 to implement the following steps:
if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target areas of the plurality of areas is larger than the quantity of the reflection quantities changing along the second direction, determining that the type of the target object comprises a target type; the target area comprises a plurality of areas in the same direction, and the first direction is opposite to the second direction.
In other embodiments of the present application, processor 41 is configured to execute an information processing program stored in memory 42 to implement the following steps:
controlling the working mode of the electronic equipment to be switched from a first mode to a second mode based on the target type; wherein the power consumption of the second mode is greater than the power consumption of the first mode.
In other embodiments of the present application, the image capturing module is in a standby state in the first mode, and the image capturing module performs image capturing in the second mode.
In other embodiments of the present application, processor 41 is configured to execute an information processing program stored in memory 42 to implement the following steps:
obtaining a change value of the distance between the image acquisition module and an object with a target type in the target duration; wherein the target object comprises an object having a target type;
if the change value represents that the distance between the object with the target type and the image acquisition module is changed from a first distance to a second distance, the electronic equipment is controlled to be switched from the second mode to the first mode; wherein the first distance is within the target distance range and the second distance is outside the target distance range.
In other embodiments of the present application, processor 41 is configured to execute an information processing program stored in memory 42 to implement the following steps:
if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target area is larger than the quantity of the reflection quantities changing along the second direction, the distance fluctuation value of the surface of the target object is obtained;
if the distance fluctuation value accords with the target fluctuation range, determining that the type of the target object comprises a target type; the target fluctuation range and the distance between the target object and the image acquisition module have an association relationship.
In other embodiments of the present application, processor 41 is configured to execute an information processing program stored in memory 42 to implement the following steps:
if the distance fluctuation value accords with the target fluctuation range, acquiring the contour information of the target object;
based on the contoured information, a target type is determined.
It should be noted that, in this embodiment, specific implementation processes of steps executed by each unit may refer to implementation processes in the information processing method provided in the embodiments corresponding to fig. 1 to 2, and are not described herein again.
Based on the foregoing embodiments, embodiments of the application provide a computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of:
obtaining a plurality of reflection quantities; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object;
determining distribution information of a plurality of reflection quantities corresponding to a plurality of areas;
determining a type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute the target operation.
In other embodiments of the present application, the one or more programs are executable by the one or more processors and further implement the steps of:
if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target areas of the plurality of areas is larger than the quantity of the reflection quantities changing along the second direction, determining that the type of the target object comprises a target type; the target area comprises a plurality of areas in the same direction, and the first direction is opposite to the second direction.
In other embodiments of the present application, the one or more programs are executable by the one or more processors and further implement the steps of:
controlling the working mode of the electronic equipment to be switched from a first mode to a second mode based on the target type; wherein the power consumption of the second mode is greater than the power consumption of the first mode.
In other embodiments of the present application, the image capturing module is in a standby state in the first mode, and the image capturing module performs image capturing in the second mode.
In other embodiments of the present application, the one or more programs are executable by the one or more processors and further implement the steps of:
obtaining a change value of the distance between the image acquisition module and an object with a target type in the target duration; wherein the target object comprises an object having a target type;
if the change value represents that the distance between the object with the target type and the image acquisition module is changed from a first distance to a second distance, the electronic equipment is controlled to be switched from the second mode to the first mode; wherein the first distance is within the target distance range and the second distance is outside the target distance range.
In other embodiments of the present application, the one or more programs are executable by the one or more processors and further implement the steps of:
if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target area is larger than the quantity of the reflection quantities changing along the second direction, the distance fluctuation value of the surface of the target object is obtained;
if the distance fluctuation value accords with the target fluctuation range, determining that the type of the target object comprises a target type; the target fluctuation range and the distance between the target object and the image acquisition module have an association relationship.
In other embodiments of the present application, the one or more programs are executable by the one or more processors and further implement the steps of:
if the distance fluctuation value accords with the target fluctuation range, acquiring the contour information of the target object;
based on the contoured information, a target type is determined.
Therefore, the storage medium provided by the embodiment of the application avoids the situation that the type of the target object detected when the target object is static is inaccurate, solves the problem that the accuracy is poor when the type of the target object is determined only based on the body fluctuation value in the related art, improves the accuracy of type detection of the target object, improves the intelligent degree of the electronic equipment, and further realizes the operation of accurately controlling the electronic equipment based on the type of the target object.
It should be noted that, a specific implementation process of the steps executed by the processor in this embodiment may refer to an implementation process in the information processing method provided in the embodiment corresponding to fig. 1 to 2, and details are not described here.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application.
Claims (10)
1. An information processing method, the method comprising:
obtaining a plurality of reflection quantities; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object;
determining distribution information of a plurality of reflection quantities corresponding to the plurality of areas;
determining a type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute target operation.
2. The method of claim 1, the determining a type of the target object based on the distribution information, comprising:
if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target areas of the plurality of areas is larger than the quantity of the reflection quantities changing along the second direction, determining that the type of the target object comprises a target type; wherein the target region includes a plurality of regions in the same direction among the plurality of regions, and the first direction and the second direction are opposite.
3. The method of claim 2, further comprising:
controlling the working mode of the electronic equipment to be switched from a first mode to a second mode based on the target type; wherein the power consumption of the second mode is greater than the power consumption of the first mode.
4. The method of claim 3, wherein the image capture module is in a standby state in the first mode and wherein the image capture module captures images in the second mode.
5. The method of claim 3, after controlling the operating mode of the electronic device to switch from the first mode to the second mode based on the target type, the method comprising:
obtaining a variation value of a distance between the image acquisition module and an object with the target type within a target time length; wherein the target object comprises the object having the target type;
if the change value represents that the distance between the object with the target type and the image acquisition module is changed from a first distance to a second distance, controlling the electronic equipment to be switched from the second mode to the first mode; wherein the first distance is within a target distance range and the second distance is outside the target distance range.
6. The method of any of claims 2 to 5, wherein the determining that the type of the target object comprises a target type if the distribution information characterizes that a number of reflection amounts varying in a first direction within a target area of the plurality of areas is greater than a number of reflection amounts varying in a second direction comprises:
if the distribution information represents that the quantity of the reflection quantities changing along the first direction in the target area is larger than the quantity of the reflection quantities changing along the second direction, obtaining a distance fluctuation value of the surface of the target object;
if the distance fluctuation value accords with a target fluctuation range, determining that the type of the target object comprises the target type; wherein the target fluctuation range has an association relation with a distance between the target object and the image acquisition module.
7. The method of claim 6, wherein the determining that the type of the target object comprises the target type if the distance fluctuation value conforms to a target fluctuation range comprises:
if the distance fluctuation value accords with the target fluctuation range, acquiring contour information of the target object;
based on the contour information, the target type is determined.
8. An information processing apparatus, comprising:
an obtaining unit configured to obtain a plurality of reflection amounts; the multiple reflection quantities comprise reflection quantities corresponding to different areas after the detection light beams emitted by the image acquisition module are reflected by the multiple areas on the surface of the target object;
a first processing unit, configured to determine distribution information of a plurality of reflection amounts corresponding to the plurality of areas;
a second processing unit for determining a type of the target object based on the distribution information; the type of the target object is used for controlling the electronic equipment to execute target operation.
9. An electronic device, the electronic device comprising:
a memory for storing executable instructions;
a processor for executing the executable instructions stored in the memory to implement the information processing method of any one of claims 1 to 7.
10. A storage medium storing one or more programs executable by one or more processors to implement the steps of the information processing method according to any one of claims 1 to 7.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4733081A (en) * | 1985-06-12 | 1988-03-22 | Yoshida Kogyo K. K. | Method and apparatus for sensing a human body |
| US20010004399A1 (en) * | 1999-12-17 | 2001-06-21 | Osamu Nonaka | Distance measurement apparatus |
| CN101548890A (en) * | 2008-03-31 | 2009-10-07 | 富士通先端科技株式会社 | Body part guidance control method for non-contact biometrics authentication device and non-contact biometrics authentication device |
| JP2013167554A (en) * | 2012-02-16 | 2013-08-29 | Fujitsu Ltd | Human detection device, human detection method, and program |
| CN106291524A (en) * | 2016-08-05 | 2017-01-04 | 南京理工大学 | LFMCW radar detection movement human mesh calibration method based on anthropometric dummy |
| JP2017032314A (en) * | 2015-07-29 | 2017-02-09 | シャープ株式会社 | Human body portion detection sensor |
| CN107636893A (en) * | 2015-05-06 | 2018-01-26 | 微软技术许可有限责任公司 | It is configured to the multiple antenna communication of detection object |
| US20180031700A1 (en) * | 2016-07-29 | 2018-02-01 | Canon Kabushiki Kaisha | Apparatus that detects person by using sonic sensor, method, electronic apparatus that includes the detection apparatus, and storage medium |
| CN110490214A (en) * | 2018-05-14 | 2019-11-22 | 阿里巴巴集团控股有限公司 | The recognition methods and system of image, storage medium and processor |
| CN110584631A (en) * | 2019-10-10 | 2019-12-20 | 重庆邮电大学 | Static human heartbeat and respiration signal extraction method based on FMCW radar |
-
2019
- 2019-12-31 CN CN201911418392.2A patent/CN111160376B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4733081A (en) * | 1985-06-12 | 1988-03-22 | Yoshida Kogyo K. K. | Method and apparatus for sensing a human body |
| US20010004399A1 (en) * | 1999-12-17 | 2001-06-21 | Osamu Nonaka | Distance measurement apparatus |
| CN101548890A (en) * | 2008-03-31 | 2009-10-07 | 富士通先端科技株式会社 | Body part guidance control method for non-contact biometrics authentication device and non-contact biometrics authentication device |
| JP2013167554A (en) * | 2012-02-16 | 2013-08-29 | Fujitsu Ltd | Human detection device, human detection method, and program |
| CN107636893A (en) * | 2015-05-06 | 2018-01-26 | 微软技术许可有限责任公司 | It is configured to the multiple antenna communication of detection object |
| JP2017032314A (en) * | 2015-07-29 | 2017-02-09 | シャープ株式会社 | Human body portion detection sensor |
| US20180031700A1 (en) * | 2016-07-29 | 2018-02-01 | Canon Kabushiki Kaisha | Apparatus that detects person by using sonic sensor, method, electronic apparatus that includes the detection apparatus, and storage medium |
| CN106291524A (en) * | 2016-08-05 | 2017-01-04 | 南京理工大学 | LFMCW radar detection movement human mesh calibration method based on anthropometric dummy |
| CN110490214A (en) * | 2018-05-14 | 2019-11-22 | 阿里巴巴集团控股有限公司 | The recognition methods and system of image, storage medium and processor |
| CN110584631A (en) * | 2019-10-10 | 2019-12-20 | 重庆邮电大学 | Static human heartbeat and respiration signal extraction method based on FMCW radar |
Non-Patent Citations (6)
| Title |
|---|
| CHRISTOPHER FUNK等: "Beyond Planar Symmetry：Modeling human perception of reflection and rotation symmetres in the wild", 2017 IEE INTERNATIONAL CONFERENCE ON COMPUTER VISION VISION(ICCV) * |
| MOHAMED ELSAYED ELAWADY: "Reflection Symmetry Detection in Images： Application to photography Analysis", RESEARCHGATE * |
| 张春雷等: "成像光谱仪标准探测器-漫反射板定标法准确性分析", 激光与光电子学进展, no. 06 * |
| 郎文辉等: "使用VHD的可视人体成像方法研究", 数据采集与处理, no. 02 * |
| 郎文辉等: "基于亮度信息的人体解剖照片集直接成像方法", 中国科学技术大学学报, no. 01 * |
| 陈小莉等: "小波分析在穿墙雷达回波奇异性检测的应用", 武汉大学学报(理学版), no. 04 * |
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