CN106373336A - Fall detection method and device - Google Patents

Fall detection method and device Download PDF

Info

Publication number
CN106373336A
CN106373336A CN201610756018.3A CN201610756018A CN106373336A CN 106373336 A CN106373336 A CN 106373336A CN 201610756018 A CN201610756018 A CN 201610756018A CN 106373336 A CN106373336 A CN 106373336A
Authority
CN
China
Prior art keywords
target image
detected
target
posture
image
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.)
Pending
Application number
CN201610756018.3A
Other languages
Chinese (zh)
Inventor
于邦仲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SUZHOU PINNUO NEW MEDICAL TECHNOLOGY Co Ltd
Original Assignee
SUZHOU PINNUO NEW MEDICAL TECHNOLOGY Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by SUZHOU PINNUO NEW MEDICAL TECHNOLOGY Co Ltd filed Critical SUZHOU PINNUO NEW MEDICAL TECHNOLOGY Co Ltd
Priority to CN201610756018.3A priority Critical patent/CN106373336A/en
Publication of CN106373336A publication Critical patent/CN106373336A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/04Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0407Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
    • G08B21/043Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/04Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438Sensor means for detecting
    • G08B21/0476Cameras to detect unsafe condition, e.g. video cameras

Abstract

The invention provides a fall detection method and device. The method comprises the following steps: pre-dividing postures of an object to be detected, wherein the postures comprise a standing posture and a lie-down posture; collecting a target image comprising the object to be detected in real time; identifying a human body image of the object to be detected from the current target image; according to the human body image, determining the posture of the object to be detected in the current target image; judging whether the posture is the lie-down posture, and if so, determining a standing target image closest to the current target image in time in a target image before the current target image, wherein the standing target image is a target image of the object to be detected, the posture of which is the standing posture; determining time length between the current target image and the corresponding standing target image; and when the time length is smaller than or equal to a preset time length, judging that the object to be detected in the current target image falls over. The fall detection method and device can detect fall more conveniently.

Description

The method and device that a kind of detection is fallen down
Technical field
The present invention relates to technical field of image processing, the method and device fallen down particularly to a kind of detection.
Background technology
With the raising of people's safety consciousness, how to ensure the safety of the person, how to find in the hole in time People, is increasingly taken seriously.For example, with the aging of population, nursing old people is more and more important, and old people falls down right It is breakneck for old people, how to check that old people falls down in time and be increasingly taken seriously.
In prior art, detect whether target to be detected falls down and mainly realized by photographic head.Clapped by photographic head Take the photograph target to be detected, to be monitored the situation of target to be detected by the monitor of manual observation photographic head, when discovery target to be detected When falling down, fall down signal by manually sending, to provide help to the target to be detected fallen down.
Visible by foregoing description, to be detected to be checked in prior art by way of the monitor of manual observation photographic head Survey whether target falls down, realize finding that target to be detected is fallen down it is necessary to artificial observe monitor, this detection always in time Mode is very inconvenient.
Content of the invention
Embodiments provide the method and device that a kind of detection is fallen down, can more easily detect and fall down.
On the one hand, embodiments provide a kind of method that detection is fallen down, comprising:
S0: divide the posture of target to be detected in advance, the posture of described target to be detected includes: the posture stood, lie down Posture;
S1: Real-time Collection comprises the target image of described target to be detected;
S2: identify the human body image of described target to be detected from current target image;
S3: according to the described human body image in described current target image, determine described target to be detected described current Posture in target image;
S4: whether the posture judging the target described to be detected in described current target image is the posture lied down, if It is, then execution step s5;
S5: determine in the target image before described current target image in time with described current target image Close target image of standing, wherein, described target image of standing is the posture of described target to be detected is the posture stood Target image;
S6: determine described current target image and immediate with described current target image in time target figure of standing Time span between picture;
S7: judge whether described time span is less than or equal to predetermined time period, if it is, determining described current goal Target described to be detected in image is fallen down.
Further, described s0, comprising: divide the posture of described target to be detected previously according to division rule;
Wherein, described division rule includes:
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is more than or equal to the During one preset value, the posture of the target described to be detected in described target image be described in the posture stood;
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is less than or equal to the During two preset values, the posture of the target described to be detected in described target image be described in the posture lied down;
Wherein, described first preset value is more than described second preset value;
Described s3, comprising:
Determine the minimum enclosed rectangle of the described human body image in described current target image;
Determine the ratio of the height and the width of described minimum enclosed rectangle;
According to the ratio of described division rule and described height and the width, determine described target to be detected in described current mesh Posture in logo image.
Further, the described minimum enclosed rectangle determining the described human body image in described current target image, comprising:
Set up rectangular coordinate system;
Described current target image is loaded in described rectangular coordinate system;
Determine the maximum transverse axis coordinate in described human body image and minimum transverse axis coordinate, and maximum ordinate of orthogonal axes and minimum Ordinate of orthogonal axes;
According to described maximum transverse axis coordinate, described minimum transverse axis coordinate, described maximum ordinate of orthogonal axes and the described minimum longitudinal axis Coordinate, determines described minimum enclosed rectangle;
The ratio of the described height and the width determining described minimum enclosed rectangle, comprising:
In described rectangular coordinate system, described minimum enclosed rectangle is made perpendicular to first length on the side of described transverse axis For described height, using the second length perpendicular to the side of the described longitudinal axis for the described minimum enclosed rectangle as described width, by institute State the ratio as described height and the width for the ratio of the first length and described second length.
Further, also include:
Determine the relaxing area of described target to be detected;
After judging that described time span is less than or equal to described predetermined time period, in the described current mesh of described determination Before target described to be detected in logo image is fallen down, also include:
Judge target described to be detected in described current target image whether in described relaxing area, if it is, Determine that the target described to be detected in described current target image is not fallen down, otherwise, it determines in described current target image Described target to be detected is fallen down.
Further, after the described target described to be detected determining in described current target image is fallen down, also include:
Send the alarm signal that described target to be detected is fallen down.
On the other hand, embodiments provide the device that a kind of detection is fallen down, comprising:
Division unit, for dividing the posture of target to be detected, the posture of described target to be detected includes: the appearance stood Gesture, the posture lied down;
Collecting unit, comprises the target image of described target to be detected for Real-time Collection;
Recognition unit, for identifying the human body image of described target to be detected from current target image;
Posture determining unit, for according to the described human body image in described current target image, determining described to be detected Posture in described current target image for the target;
Posture judging unit, whether the posture for judging the target described to be detected in described current target image is to lie The posture fallen, if it is, notify image determination unit;
Described image determining unit, for determine in target image before described current target image in time with The immediate target image of standing of described current target image, wherein, described target image of standing is described target to be detected Posture is the target image of the posture stood;
Time determining unit, for determining described current target image and connecing most with described current target image in time The near time span stood between target image;
Fall down judging unit, for judging whether described time span is less than or equal to predetermined time period, if it is, really Target described to be detected in fixed described current target image is fallen down.
Further, described division unit, for dividing the posture of described target to be detected according to division rule;
Wherein, described division rule includes:
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is more than or equal to the During one preset value, the posture of the target described to be detected in described target image be described in the posture stood;
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is less than or equal to the During two preset values, the posture of the target described to be detected in described target image be described in the posture lied down;
Wherein, described first preset value is more than described second preset value;
Described posture determining unit, for determining the external square of minimum of the described human body image in described current target image Shape, determines the ratio of the height and the width of described minimum enclosed rectangle, according to described division rule and described height and the width Ratio, determines posture in described current target image for the described target to be detected.
Further, described posture determining unit is executing the described described human figure determining in described current target image During the minimum enclosed rectangle of picture, it is used for setting up rectangular coordinate system, described current target image is loaded into described rectangular coordinate system In, determine the maximum transverse axis coordinate in described human body image and minimum transverse axis coordinate, and maximum ordinate of orthogonal axes and the minimum longitudinal axis Coordinate, sits according to described maximum transverse axis coordinate, described minimum transverse axis coordinate, described maximum ordinate of orthogonal axes and the described minimum longitudinal axis Mark, determines described minimum enclosed rectangle;
Described posture determining unit, when executing the ratio of the described height and the width determining described minimum enclosed rectangle, is used In in described rectangular coordinate system, using the first length perpendicular to the side of described transverse axis for the described minimum enclosed rectangle as described Highly, using the second length perpendicular to the side of the described longitudinal axis for the described minimum enclosed rectangle as described width, by described first The ratio of length and described second length is as the ratio of described height and the width.
Further, also include:
Area determination unit, for determining the relaxing area of described target to be detected;
Described fall down judging unit judge described time span be less than or equal to described predetermined time period after, in institute State determine described current target image in target described to be detected fall down before, be additionally operable to judge in described current target image Target described to be detected whether in described relaxing area, if it is, determine described current target image in described in treat Detection target is not fallen down, otherwise, it determines the target described to be detected in described current target image is fallen down.
Further, also include:
Alarm unit, for determining the target described to be detected in described current target image in described judging unit of falling down After falling down, send the alarm signal that described target to be detected is fallen down.
In embodiments of the present invention, Real-time Collection comprises the target image of target to be detected, treats in each target image Detection target carries out falling down inspection, extracts human body image, determine the appearance of human body image in target image from target image Gesture, when the time span that this posture is the posture lied down and the posture lied down to this from the nearest posture stood is less than or equal to During predetermined time period, determine that target to be detected is fallen down, whole detection process need not manually participate in, can more easily detect Fall down.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description are the present invention Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis These accompanying drawings obtain other accompanying drawings.
Fig. 1 is the flow chart of the method that a kind of detection that one embodiment of the invention provides is fallen down;
Fig. 2 is a kind of schematic diagram of the minimum enclosed rectangle of human body image that one embodiment of the invention provides;
Fig. 3 is the schematic diagram of the minimum enclosed rectangle of another human body image that one embodiment of the invention provides;
Fig. 4 is the flow chart of the method that another kind of detection that one embodiment of the invention provides is fallen down;
Fig. 5 is the schematic diagram of the minimum enclosed rectangle of another human body image that one embodiment of the invention provides;
Fig. 6 is the schematic diagram of the device that a kind of detection that one embodiment of the invention provides is fallen down.
Specific embodiment
Purpose, technical scheme and advantage for making the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described it is clear that described embodiment is The a part of embodiment of the present invention, rather than whole embodiments, based on the embodiment in the present invention, those of ordinary skill in the art The every other embodiment being obtained on the premise of not making creative work, broadly falls into the scope of protection of the invention.
As shown in figure 1, embodiments providing a kind of method that detection is fallen down, the method can include following walking Rapid:
Step 101: divide the posture of target to be detected in advance, the posture of described target to be detected includes: the posture stood, The posture lied down;
Step 102: Real-time Collection comprises the target image of described target to be detected;
Step 103: identify the human body image of described target to be detected from current target image;
Step 104: according to the described human body image in described current target image, determine described target to be detected described Posture in current target image;
Step 105: whether the posture judging the target described to be detected in described current target image is the posture lied down, If it is, execution step 106;
Step 106: determine in target image before described current target image in time with described current goal The immediate target image of standing of image, wherein, described target image of standing is that the posture of described target to be detected is stood The target image of posture;
Step 107: determine that described current target image is stood with immediate with described current target image in time Time span between target image;
Step 108: judge whether described time span is less than or equal to predetermined time period, if it is, execution step 109.
Step 109: determine that the target described to be detected in described current target image is fallen down.
In embodiments of the present invention, Real-time Collection comprises the target image of target to be detected, treats in each target image Detection target carries out falling down inspection, extracts human body image, determine the appearance of human body image in target image from target image Gesture, when the time span that this posture is the posture lied down and the posture lied down to this from the nearest posture stood is less than or equal to During predetermined time period, determine that target to be detected is fallen down, whole detection process need not manually participate in, can more easily detect Fall down.
In order to the posture of to be detected target is determined more accurately out, in an embodiment of the present invention, described divide in advance The posture of target to be detected, comprising: divide the posture of described target to be detected previously according to division rule;
Wherein, described division rule includes:
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is more than or equal to the During one preset value, the posture of the target described to be detected in described target image be described in the posture stood;
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is less than or equal to the During two preset values, the posture of the target described to be detected in described target image be described in the posture lied down;
Wherein, described first preset value is more than described second preset value;
Described according to the described human body image in described current target image, determine described target to be detected described current Posture in target image, comprising:
Determine the minimum enclosed rectangle of the described human body image in described current target image;
Determine the ratio of the height and the width of described minimum enclosed rectangle;
According to the ratio of described division rule and described height and the width, determine described target to be detected in described current mesh Posture in logo image.
In the present embodiment, because, when standing and lie down, the ratio of the height and the width of human body is that difference is very big , can distinguish what posture is target to be detected be in exactly by this feature.Here the first preset value and second Preset value can rule of thumb determine it is also possible to be determined according to experimental data, for example, obtains human body in large quantities in advance Image, in the ratio of the posture stood and the height and the width of posture lied down, carries out process and obtains first presetting to these ratios Value and the second preset value.There is difference in the build due to different targets to be detected, treat in order to more accurately determine The posture of detection target, can be directed to each target to be detected, predefine out the corresponding posture stood and the posture lied down Height and the width ratio, and then determine corresponding first preset value of each target to be detected and the second preset value.Wherein, First preset value span can be [1.5,2], and the span of the second preset value can be [0.5,2/3], for example: first Preset value is 2, and the second preset value is 0.5.Except the posture stood and the posture lied down, middle posture can also be marked off, tool Body ground, when the ratio of the height and the width of the minimum enclosed rectangle of the human body image in target image is more than the second preset value and little When the first preset value, the posture of the target to be detected in target image is middle posture.So can be by target to be detected Posture is divided into: the posture stood, middle posture, the posture lied down.
In addition, minimum enclosed rectangle here refers to the minimum rectangle of the area surrounding human body image.As shown in Fig. 2 figure In rectangle abcd be human body image 201 minimum enclosed rectangle.In general, minimum enclosed rectangle here is orthogonal Side be respectively parallel to vertically and horizontally, the height of minimum enclosed rectangle here refers to minimum enclosed rectangle perpendicular The length on Nogata side upwards, the width of minimum enclosed rectangle refers to the length on minimum enclosed rectangle side in the horizontal direction.
In order to accurately determine minimum enclosed rectangle, described human body image in the described current target image of described determination Minimum enclosed rectangle, comprising:
Set up rectangular coordinate system;
Described current target image is loaded in described rectangular coordinate system;
Determine the maximum transverse axis coordinate in described human body image and minimum transverse axis coordinate, and maximum ordinate of orthogonal axes and minimum Ordinate of orthogonal axes;
According to described maximum transverse axis coordinate, described minimum transverse axis coordinate, described maximum ordinate of orthogonal axes and the described minimum longitudinal axis Coordinate, determines described minimum enclosed rectangle;
The ratio of the described height and the width determining described minimum enclosed rectangle, comprising:
In described rectangular coordinate system, described minimum enclosed rectangle is made perpendicular to first length on the side of described transverse axis For described height, using the second length perpendicular to the side of the described longitudinal axis for the described minimum enclosed rectangle as described width, by institute State the ratio as described height and the width for the ratio of the first length and described second length.
In the present embodiment, current target image is loaded in rectangular coordinate system, is each point of current target image Distribution coordinate, determine in the human body image of current target image institute a little in maximum transverse axis coordinate and minimum transverse axis seat Mark, and maximum ordinate of orthogonal axes and minimum ordinate of orthogonal axes.Maximum transverse axis coordinate and minimum transverse axis coordinate, and maximum ordinate of orthogonal axes Determine four points with minimum ordinate of orthogonal axes, the rectangle that this four points are constituted is exactly minimum enclosed rectangle.
For example, as shown in figure 3, setting up rectangular coordinate system, transverse axis is x-axis, and the longitudinal axis is y-axis.Current target image Maximum transverse axis coordinate in human body image 301 is the x-axis coordinate of point a1, and the x-axis coordinate of point a1 is 4;In human body image 301 Little transverse axis coordinate is the x-axis coordinate of point b1, and the x-axis coordinate of point b1 is 2;Maximum ordinate of orthogonal axes in human body image 301 is point c1 Y-axis coordinate, the y-axis coordinate of point c1 is 6;Minimum ordinate of orthogonal axes in human body image 301 is the y-axis coordinate of point d1, the y of point d1 Axial coordinate is 1.The coordinate of the point a2 that maximum transverse axis coordinate is constituted with maximum ordinate of orthogonal axes is (4,6), minimum transverse axis coordinate and The coordinate of the point b2 that big ordinate of orthogonal axes is constituted is (2,6), the coordinate of the point c2 that minimum transverse axis coordinate is constituted with minimum ordinate of orthogonal axes The coordinate of the point d2 constituting with minimum ordinate of orthogonal axes for (2,1), maximum transverse axis coordinate is (4,1), and rectangle a2b2c2d2 is human body Image 301 minimum enclosed rectangle.First length of the vertical side b2c2 with transverse axis of this minimum enclosed rectangle is 5, and this minimum is external Rectangular vertical is 2 with second length of the side a2b2 of the longitudinal axis, and the ratio of the height and the width of minimum enclosed rectangle is 2.5.When When one preset value is 2, the ratio of the height and the width of minimum enclosed rectangle is more than the first preset value, determines current target image In the posture of target to be detected be the posture stood.
In order to be determined more accurately whether target to be detected falls down, in an embodiment of the present invention, also include:
Determine the relaxing area of described target to be detected;
After judging that described time span is less than or equal to described predetermined time period, in the described current mesh of described determination Before target described to be detected in logo image is fallen down, also include:
Judge target described to be detected in described current target image whether in described relaxing area, if it is, Determine that the target described to be detected in described current target image is not fallen down, otherwise, it determines in described current target image Described target to be detected is fallen down.
Due to when target to be detected needs rest, the posture lied down also being taken to rest, and also may be used when lying down Can quickly reach the posture lied down, it is, meeting time span to be less than or equal to predetermined time period, to be checked in order to judge Survey the state that target is in resting and be in the state fallen down, whether can be come in relaxing area by target to be detected true Fixed.Here relaxing area can be the regions such as sofa, bed.In the present embodiment, determine the relaxing area of target to be detected, tool Body can be accomplished by: using target to be detected bed in the environment region as relaxing area, or, Relaxing area is determined in the pickup area of target image.When identifying current target image, in identification current target image it is Whether no have relaxing area, and judge target to be detected in relaxing area.Judging target to be detected whether in relaxing area When middle, can be realized by the minimum enclosed rectangle of human body image, when the minimum enclosed rectangle of human body image is in rest area When the ratio of the area of the part in domain and the gross area is more than or equal to preset ratio, determine target to be detected in relaxing area, no Then, determine target to be detected not in relaxing area.Here preset ratio can be 0.5.
In order to provide help for the target to be detected fallen down in time, in an embodiment of the present invention, in described determination After target described to be detected in described current target image is fallen down, also include: send the report that described target to be detected is fallen down Alert signal.
The related personnel such as caregiver, the guardian of target to be detected, Jin Erji can be notified in time by alarm signal When provide help for target to be detected.This alarm signal can be note, voice message, chimes of doom, blinking light etc..
As shown in figure 4, embodiments providing a kind of method that detection is fallen down, the method can include following walking Rapid:
Step 401: previously according to division rule by the posture of target to be detected be divided into the posture stood, middle posture and The posture lied down.
Here target to be detected can be people to be detected, for example: old man, child etc..
This division rule specifically includes:
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in target image is pre- more than or equal to first If during value, the posture of the target to be detected in target image is the posture stood;
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in target image is pre- less than or equal to second If during value, the posture of the target to be detected in target image is the posture lied down;
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in target image is more than the second preset value And during less than the first preset value, the posture of the target to be detected in target image is middle posture;
Wherein, the first preset value is more than the second preset value, and for example: the first preset value is 2, the second preset value is 0.5.
Step 402: set up rectangular coordinate system.
Specifically, using x-axis as transverse axis, using y-axis as the longitudinal axis.
Step 403: determine the relaxing area of target to be detected.
For example, using the region of the bed in the pickup area of target image as relaxing area.
Step 404: Real-time Collection comprises the target image of target to be detected.
Here target image can be gathered by photographic head.
Step 405: identify the human body image of target to be detected from current target image.
In order to detect to target to be detected in time, need in time to each target image collecting Reason.When identifying human body image, can be realized by background subtraction.
Step 406: current target image is loaded in rectangular coordinate system.
In this rectangular coordinate system, each pixel in current target image corresponds to a coordinate.
Step 407: determine the maximum transverse axis coordinate in the human body image of current target image and minimum transverse axis coordinate, and Maximum ordinate of orthogonal axes and minimum ordinate of orthogonal axes.
For example, as shown in figure 5, the maximum transverse axis coordinate in the human body image 501 of current target image is the x of point c3 Axial coordinate, the x-axis coordinate of point c3 is 6;Minimum transverse axis coordinate in human body image 501 is the x-axis coordinate of point d3, the x-axis of point d3 Coordinate is 1;Maximum ordinate of orthogonal axes in human body image 501 is the y-axis coordinate of point b3, and the y-axis coordinate of point b3 is 4;Human body image Minimum ordinate of orthogonal axes in 501 is the y-axis coordinate of point d3, and the y-axis coordinate of point d3 is 2.
Step 408: according to maximum transverse axis coordinate, minimum transverse axis coordinate, maximum ordinate of orthogonal axes and minimum ordinate of orthogonal axes, determine Minimum enclosed rectangle.
, the coordinate of the point b4 that maximum transverse axis coordinate is constituted with maximum ordinate of orthogonal axes is taking the human body image 501 in Fig. 5 as a example (6,4), the coordinate of the point d4 that minimum transverse axis coordinate is constituted with minimum ordinate of orthogonal axes is (1,2), and maximum transverse axis coordinate is indulged with minimum The coordinate of the point a4 that axial coordinate is constituted is (6,2), the coordinate of the point c4 that minimum transverse axis coordinate is constituted with maximum ordinate of orthogonal axes for (1, 4), rectangle a4b4c4d4 is human body image 501 minimum enclosed rectangle.
Step 409: in rectangular coordinate system, using the first length perpendicular to the side of transverse axis for the minimum enclosed rectangle as height Degree, using the second length perpendicular to the side of the longitudinal axis for the minimum enclosed rectangle as width, by the ratio of the first length and the second length Value is as the ratio of height and the width.
, vertical the first length with the side a4b4 of transverse axis of this minimum enclosed rectangle is taking the human body image 501 in Fig. 5 as a example 2, second length of the vertical side a4d4 with the longitudinal axis of this minimum enclosed rectangle is 5, the ratio of the height and the width of minimum enclosed rectangle It is worth for 0.4.
Step 410: according to the ratio of division rule and height and the width, determine target to be detected in current target image Posture.
, when the second preset value is 0.5 taking the human body image 501 in Fig. 5 as a example, the height and the width of minimum enclosed rectangle Ratio be less than the second preset value, according to division rule, determine that the posture of target to be detected in current target image is to lie down Posture.
Step 411: whether the posture judging the target to be detected in current target image is the posture lied down, if it is, Then step 412, otherwise, execution step 417.
Specifically, if the posture of target to be detected is the posture lied down in current target image, current target image In target to be detected it may happen that falling down, but, if the posture of target to be detected is not the appearance lied down in current target image Gesture, then in current target image, target to be detected does not just send and falls down, and can continue with next target image.
, determine target to be detected in current target image in step 410 taking the human body image 501 in Fig. 5 as a example Posture is the posture lied down, and this step judges the appearance of target to be detected in current target image according to the result in step 410 Gesture is the posture lied down, then execute execution step 412.
Step 412: determine in the target image before current target image and connect most with current target image in time Near target image of standing, wherein, target image of standing be target to be detected posture be the posture stood target image.
Due to coherent action when falling down, therefore, when judging whether target to be detected falls down, except judging to treat The detection current posture of target is it is also contemplated that posture before this posture.Fall down and enter usually within the posture short time stood To the posture lied down, therefore, in this step, before needing to find the posture lied down at this, the immediate posture stood.
When processing target image, it is to process sequentially in time, first process time of origin target image earlier, after Process later target image.When processing each target image, target to be detected in each target image all can be determined Posture.Therefore, this step can find immediate with current target image in time standing according to result before Target image.
For example, it has been determined that going out the target to be detected in the corresponding target image of Fig. 3 before current target image Posture be the posture stood.And, determine that the corresponding target image of Fig. 3 is closest with current target image in time Target image of standing.
Step 413: determine current target image and stand target image immediate with current target image in time Between time span.
For example, there is 6: 6: 30.52 in the afternoon, Fig. 3 corresponding target figure in the corresponding current target image of Fig. 5 As there are 6: 6: 30.12 in the afternoon.Time span between this two target images is 0.4 second.
Step 414: judge whether time span is less than or equal to predetermined time period, if it is, execution step 415, no Then, execution step 417.
Usually it is rapidly introduced into, from the state stood, the state lied down due to falling down, the state stood and the state fallen down Time interval very short, here by limiting this time interval, the value model of this predetermined time period for predetermined time period Enclosing can be [0.5, the 1.5] second, can be 1.2 seconds, 1 second, 0.9 second, 0.8 second etc..
, between this two target images taking the corresponding current target image of Fig. 5 and the corresponding target image of standing of Fig. 3 as a example Time span be 0.4 second.When predetermined time period is 0.8 second, the time span between this two target images is less than pre- If time span, execution step 415.
If this time span is less than or equal to predetermined time period, the target to be detected in current target image may be fallen Fall, continue through subsequent step to determine, if this time span is more than predetermined time period, target to be detected is probably certainly Oneself lies down, and does not fall down, and processes next target image.
Step 415: judge target to be detected in current target image whether in relaxing area, if it is, execution Step 417, otherwise, execution step 416.
Even if time span is less than or equal to predetermined time period, but it is also possible to target to be detected is quickly to lie down Relaxing area is rested, in order to improve the accuracy of detection, in this step, judges target to be detected whether in rest In region.
When whether the target to be detected in judging current target image is in relaxing area, can come in the following manner Realize: whether the human body image judging in current target image is in relaxing area.
Taking the corresponding target to be detected of Fig. 5 as a example, if it is judged that the corresponding target to be detected of Fig. 5 is in relaxing area, Then determine that target to be detected is not fallen down.
Step 416: determine that the target to be detected in current target image is fallen down, send the alarm signal that target to be detected is fallen down Number.
In this step, after determining that the target to be detected in current target image is fallen down, send alarm signal, be to treat in time Detection goal seeking helps.
Step 417: using next target image as current target image, return to step 405.
As shown in fig. 6, the device that a kind of detection provided in an embodiment of the present invention is fallen down, comprising:
Division unit 601, for dividing the posture of target to be detected, the posture of described target to be detected includes: stands Posture, the posture lied down;
Collecting unit 602, comprises the target image of described target to be detected for Real-time Collection;
Recognition unit 603, for identifying the human body image of described target to be detected from current target image;
Posture determining unit 604, for according to the described human body image in described current target image, determining described to be checked Survey posture in described current target image for the target;
Posture judging unit 605, for judge the target described to be detected in described current target image posture whether For the posture lied down, if it is, notifying image determination unit 606;
Described image determining unit 606, for determining in the target image before described current target image in the time Above with the immediate target image of standing of described current target image, wherein, described target image of standing is described mesh to be detected Target posture is the target image of the posture stood;
Time determining unit 607, for determine described current target image with time with described current target image The immediate time span stood between target image;
Fall down judging unit 608, for judging whether described time span is less than or equal to predetermined time period, if it is, Then determine that the target described to be detected in described current target image is fallen down.
In an embodiment of the present invention, described division unit, for dividing described target to be detected according to division rule Posture;
Wherein, described division rule includes:
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is more than or equal to the During one preset value, the posture of the target described to be detected in described target image be described in the posture stood;
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is less than or equal to the During two preset values, the posture of the target described to be detected in described target image be described in the posture lied down;
Wherein, described first preset value is more than described second preset value;
Described posture determining unit, for determining the external square of minimum of the described human body image in described current target image Shape, determines the ratio of the height and the width of described minimum enclosed rectangle, according to described division rule and described height and the width Ratio, determines posture in described current target image for the described target to be detected.
In an embodiment of the present invention, described posture determining unit is in executing the described current target image of described determination During the minimum enclosed rectangle of described human body image, it is used for setting up rectangular coordinate system, described current target image is loaded into described In rectangular coordinate system, determine the maximum transverse axis coordinate in described human body image and minimum transverse axis coordinate, and maximum ordinate of orthogonal axes With minimum ordinate of orthogonal axes, according to described maximum transverse axis coordinate, described minimum transverse axis coordinate, described maximum ordinate of orthogonal axes and described Little ordinate of orthogonal axes, determines described minimum enclosed rectangle;
Described posture determining unit, when executing the ratio of the described height and the width determining described minimum enclosed rectangle, is used In in described rectangular coordinate system, using the first length perpendicular to the side of described transverse axis for the described minimum enclosed rectangle as described Highly, using the second length perpendicular to the side of the described longitudinal axis for the described minimum enclosed rectangle as described width, by described first The ratio of length and described second length is as the ratio of described height and the width.
In an embodiment of the present invention, this device also includes:
Area determination unit, for determining the relaxing area of described target to be detected;
Described fall down judging unit judge described time span be less than or equal to described predetermined time period after, in institute State determine described current target image in target described to be detected fall down before, be additionally operable to judge in described current target image Target described to be detected whether in described relaxing area, if it is, determine described current target image in described in treat Detection target is not fallen down, otherwise, it determines the target described to be detected in described current target image is fallen down.
In an embodiment of the present invention, also include: alarm unit, for described fall down judging unit determine described current After target described to be detected in target image is fallen down, send the alarm signal that described target to be detected is fallen down.
The device that a kind of detection provided in an embodiment of the present invention is fallen down, the product form of this device can have various ways, For example: outward appearance is manufactured into the form of similar mirror, can realize as " makeups witch mirror ", this mirror be provided with photographic head and makees For collecting unit, this mirror can be placed on target to be detected often in the pickup area of activity.
The contents such as the information exchange between each unit in said apparatus, implementation procedure, due to implementing with the inventive method Example is based on same design, and particular content can be found in the narration in the inventive method embodiment, and here is omitted.
Each embodiment of the present invention at least has the advantages that
1st, in embodiments of the present invention, Real-time Collection comprises the target image of target to be detected, in each target image Target to be detected carries out falling down inspection, extracts human body image from target image, determines human body image in target image Posture, when the time span that this posture is the posture lied down and the posture lied down to this from the nearest posture stood is less than etc. When predetermined time period, determine that target to be detected is fallen down, whole detection process need not manually participate in, can more easily examine Survey is fallen down.
2nd, because, when standing and lie down, the ratio difference of the height and the width of human body is very big, implement in the present invention The height under different gestures and the width of human body in example, is represented by the height of the minimum enclosed rectangle of human body image and width Degree, can distinguish the posture of target to be detected exactly by the height of minimum enclosed rectangle and the ratio of width, and then, energy Enough detect whether target to be detected falls down exactly.
3rd, in embodiments of the present invention, predefine out the relaxing area of target to be detected, determine target to be detected After being in the posture lied down, then determine target to be detected whether in relaxing area, when in target to be detected in relaxing area, Determine that target to be detected is not fallen down, it is to avoid target to be detected is rested in relaxing area and is the feelings fallen down by false judgment Condition is so that testing result is more accurate.
4th, in embodiments of the present invention, after determining that target to be detected is fallen down, send the warning that target to be detected is fallen down Signal, notifies the related personnel such as caregiver, the guardian of target to be detected in time by alarm signal, is mesh to be detected in time Mark provides and helps it is ensured that the safety of personnel to be detected.
It should be noted that herein, such as first and second etc relational terms are used merely to an entity Or operation is made a distinction with another entity or operation, and not necessarily requires or imply exist between these entities or operation Any this actual relation or order.And, term " inclusion ", "comprising" or its any other variant are intended to non- The comprising of exclusiveness, so that including a series of process of key elements, method, article or equipment not only include those key elements, But also include other key elements being not expressly set out, or also include being consolidated by this process, method, article or equipment Some key elements.In the absence of more restrictions, the key element being limited by sentence " including ", does not arrange Remove and also there is other same factor in the process including described key element, method, article or equipment.
One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can be passed through Completing, aforesaid program can be stored in the storage medium of embodied on computer readable the related hardware of programmed instruction, this program Upon execution, execute the step including said method embodiment;And aforesaid storage medium includes: rom, ram, magnetic disc or light Disk etc. is various can be with the medium of store program codes.
Finally it should be understood that the foregoing is only presently preferred embodiments of the present invention, it is merely to illustrate the skill of the present invention Art scheme, is not intended to limit protection scope of the present invention.All any modifications made within the spirit and principles in the present invention, Equivalent, improvement etc., are all contained in protection scope of the present invention.

Claims (10)

1. a kind of method that detection is fallen down is it is characterised in that include:
S0: divide the posture of target to be detected in advance, the posture of described target to be detected includes: the posture stood, the appearance lied down Gesture;
S1: Real-time Collection comprises the target image of described target to be detected;
S2: identify the human body image of described target to be detected from current target image;
S3: according to the described human body image in described current target image, determine described target to be detected in described current goal Posture in image;
S4: whether the posture judging the target described to be detected in described current target image is the posture lied down, if it is, Execution step s5;
S5: determine closest with described current target image in time in the target image before described current target image Target image of standing, wherein, described target image of standing be described target to be detected posture be the posture stood target Image;
S6: determine described current target image with immediate with described current target image in time stand target image it Between time span;
S7: judge whether described time span is less than or equal to predetermined time period, if it is, determining described current target image In target described to be detected fall down.
2. method according to claim 1 it is characterised in that
Described s0, comprising: divide the posture of described target to be detected previously according to division rule;
Wherein, described division rule includes:
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is pre- more than or equal to first If during value, the posture of the target described to be detected in described target image be described in the posture stood;
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is pre- less than or equal to second If during value, the posture of the target described to be detected in described target image be described in the posture lied down;
Wherein, described first preset value is more than described second preset value;
Described s3, comprising:
Determine the minimum enclosed rectangle of the described human body image in described current target image;
Determine the ratio of the height and the width of described minimum enclosed rectangle;
According to the ratio of described division rule and described height and the width, determine described target to be detected in described current goal figure Posture in picture.
3. method according to claim 2 it is characterised in that
The described minimum enclosed rectangle determining the described human body image in described current target image, comprising:
Set up rectangular coordinate system;
Described current target image is loaded in described rectangular coordinate system;
Determine the maximum transverse axis coordinate in described human body image and minimum transverse axis coordinate, and maximum ordinate of orthogonal axes and the minimum longitudinal axis Coordinate;
According to described maximum transverse axis coordinate, described minimum transverse axis coordinate, described maximum ordinate of orthogonal axes and described minimum ordinate of orthogonal axes, Determine described minimum enclosed rectangle;
The ratio of the described height and the width determining described minimum enclosed rectangle, comprising:
In described rectangular coordinate system, using the first length perpendicular to the side of described transverse axis for the described minimum enclosed rectangle as institute State height, using the second length perpendicular to the side of the described longitudinal axis for the described minimum enclosed rectangle as described width, by described the The ratio of one length and described second length is as the ratio of described height and the width.
4. method according to claim 1 is it is characterised in that also include:
Determine the relaxing area of described target to be detected;
After judging that described time span is less than or equal to described predetermined time period, in the described current goal figure of described determination Before target described to be detected in picture is fallen down, also include:
Judge target described to be detected in described current target image whether in described relaxing area, if it is, determining Target described to be detected in described current target image is not fallen down, otherwise, it determines described in described current target image Target to be detected is fallen down.
5. according to described method arbitrary in claim 1-4 it is characterised in that
After the described target described to be detected determining in described current target image is fallen down, also include:
Send the alarm signal that described target to be detected is fallen down.
6. the device that a kind of detection is fallen down is it is characterised in that include:
Division unit, for dividing the posture of target to be detected, the posture of described target to be detected includes: the posture stood, lies The posture fallen;
Collecting unit, comprises the target image of described target to be detected for Real-time Collection;
Recognition unit, for identifying the human body image of described target to be detected from current target image;
Posture determining unit, for according to the described human body image in described current target image, determining described target to be detected Posture in described current target image;
Posture judging unit, whether the posture for judging the target described to be detected in described current target image lies down Posture, if it is, notify image determination unit;
Described image determining unit, for determine in target image before described current target image in time with described The immediate target image of standing of current target image, wherein, described target image of standing is the posture of described target to be detected The target image of the posture for standing;
Time determining unit, for determine described current target image with immediate with described current target image in time The time span stood between target image;
Fall down judging unit, for judging whether described time span is less than or equal to predetermined time period, if it is, determining institute The target described to be detected stated in current target image is fallen down.
7. device according to claim 6 it is characterised in that
Described division unit, for dividing the posture of described target to be detected according to division rule;
Wherein, described division rule includes:
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is pre- more than or equal to first If during value, the posture of the target described to be detected in described target image be described in the posture stood;
When the ratio of the height and the width of the minimum enclosed rectangle of the human body image in described target image is pre- less than or equal to second If during value, the posture of the target described to be detected in described target image be described in the posture lied down;
Wherein, described first preset value is more than described second preset value;
Described posture determining unit, for determining the minimum enclosed rectangle of the described human body image in described current target image, Determine the ratio of the height and the width of described minimum enclosed rectangle, according to the ratio of described division rule and described height and the width Value, determines posture in described current target image for the described target to be detected.
8. device according to claim 7 it is characterised in that
The minimum of described human body image in executing the described current target image of described determination for the described posture determining unit is external During rectangle, it is used for setting up rectangular coordinate system, described current target image is loaded in described rectangular coordinate system, determine described people Maximum transverse axis coordinate in body image and minimum transverse axis coordinate, and maximum ordinate of orthogonal axes and minimum ordinate of orthogonal axes, according to described Maximum transverse axis coordinate, described minimum transverse axis coordinate, described maximum ordinate of orthogonal axes and described minimum ordinate of orthogonal axes, determine described minimum Boundary rectangle;
Described posture determining unit execute described determine described minimum enclosed rectangle height and the width ratio when, for In described rectangular coordinate system, using the first length perpendicular to the side of described transverse axis for the described minimum enclosed rectangle as described height Degree, using the second length perpendicular to the side of the described longitudinal axis for the described minimum enclosed rectangle as described width, long by described first The ratio of degree and described second length is as the ratio of described height and the width.
9. device according to claim 6 is it is characterised in that also include:
Area determination unit, for determining the relaxing area of described target to be detected;
Described judging unit of falling down after judging that described time span is less than or equal to described predetermined time period, described really Before target described to be detected in fixed described current target image is fallen down, it is additionally operable to judge the institute in described current target image State target to be detected whether in described relaxing area, if it is, determining described to be detected in described current target image Target is not fallen down, otherwise, it determines the target described to be detected in described current target image is fallen down.
10. according to described device arbitrary in claim 6-9 it is characterised in that also including:
In described judging unit of falling down, alarm unit, for determining that the target described to be detected in described current target image is fallen down Afterwards, send the alarm signal that described target to be detected is fallen down.
CN201610756018.3A 2016-08-30 2016-08-30 Fall detection method and device Pending CN106373336A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610756018.3A CN106373336A (en) 2016-08-30 2016-08-30 Fall detection method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610756018.3A CN106373336A (en) 2016-08-30 2016-08-30 Fall detection method and device

Publications (1)

Publication Number Publication Date
CN106373336A true CN106373336A (en) 2017-02-01

Family

ID=57901064

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610756018.3A Pending CN106373336A (en) 2016-08-30 2016-08-30 Fall detection method and device

Country Status (1)

Country Link
CN (1) CN106373336A (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107016350A (en) * 2017-04-26 2017-08-04 中科唯实科技(北京)有限公司 A kind of Falls Among Old People detection method based on depth camera
CN107358784A (en) * 2017-07-25 2017-11-17 深圳市盛路物联通讯技术有限公司 A kind of long distance monitoring method and apparatus
WO2018223812A1 (en) * 2017-06-07 2018-12-13 京东方科技集团股份有限公司 Smart toilet and safety monitoring system based on smart toilet
CN110261867A (en) * 2018-03-12 2019-09-20 松下知识产权经营株式会社 Tracking device and tracking
CN110633652A (en) * 2019-08-27 2019-12-31 宇龙计算机通信科技(深圳)有限公司 Unexpected situation determination method and device and electronic equipment
CN111047827A (en) * 2019-12-03 2020-04-21 北京深测科技有限公司 Intelligent monitoring method and system for environment-assisted life
CN112819855A (en) * 2020-12-31 2021-05-18 广州紫川电子科技有限公司 Personnel tumbling detection method, equipment and medium based on nursing home
WO2021217848A1 (en) * 2020-04-29 2021-11-04 平安科技(深圳)有限公司 Human body falling detection method and apparatus, and computer device and storage medium
CN113990037A (en) * 2021-11-01 2022-01-28 珠海华发人居生活研究院有限公司 Intelligent monitoring system for health and accidents of old people
CN117116004A (en) * 2023-10-25 2023-11-24 深圳市微克科技有限公司 Tumble alarm method, system and medium of intelligent wearable device

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN200941648Y (en) * 2006-08-07 2007-08-29 扬州大学 Cell phone having warning function when dumping short messages
CN102387345A (en) * 2011-09-09 2012-03-21 浙江工业大学 Safety monitoring system based on omnidirectional vision for old people living alone
US20120086824A1 (en) * 2010-10-06 2012-04-12 Hoya Corporation Camera with image stabilization function
CN103903281A (en) * 2014-04-04 2014-07-02 西北工业大学 Old people tumbling detecting method based on multi-feature analyzing and scene studying
CN105303563A (en) * 2015-09-22 2016-02-03 北京格灵深瞳信息技术有限公司 Fall-down detection method and device
CN105718886A (en) * 2016-01-20 2016-06-29 武汉日创科技有限公司 Moving personnel safety abnormity tumbling detection method
CN105718857A (en) * 2016-01-13 2016-06-29 兴唐通信科技有限公司 Human body abnormal behavior detection method and system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN200941648Y (en) * 2006-08-07 2007-08-29 扬州大学 Cell phone having warning function when dumping short messages
US20120086824A1 (en) * 2010-10-06 2012-04-12 Hoya Corporation Camera with image stabilization function
CN102387345A (en) * 2011-09-09 2012-03-21 浙江工业大学 Safety monitoring system based on omnidirectional vision for old people living alone
CN103903281A (en) * 2014-04-04 2014-07-02 西北工业大学 Old people tumbling detecting method based on multi-feature analyzing and scene studying
CN105303563A (en) * 2015-09-22 2016-02-03 北京格灵深瞳信息技术有限公司 Fall-down detection method and device
CN105718857A (en) * 2016-01-13 2016-06-29 兴唐通信科技有限公司 Human body abnormal behavior detection method and system
CN105718886A (en) * 2016-01-20 2016-06-29 武汉日创科技有限公司 Moving personnel safety abnormity tumbling detection method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
CHIEN-LIANG LIU等: ""A fall detection system using k-nearest neighbor classifer"", 《EXPERT SYSTEMS WITH APPLICATIONS》 *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107016350A (en) * 2017-04-26 2017-08-04 中科唯实科技(北京)有限公司 A kind of Falls Among Old People detection method based on depth camera
WO2018223812A1 (en) * 2017-06-07 2018-12-13 京东方科技集团股份有限公司 Smart toilet and safety monitoring system based on smart toilet
US10692347B2 (en) 2017-06-07 2020-06-23 Boe Technology Group Co., Ltd. Smart toilet and safety monitoring system based on smart toilet
CN107358784A (en) * 2017-07-25 2017-11-17 深圳市盛路物联通讯技术有限公司 A kind of long distance monitoring method and apparatus
CN110261867A (en) * 2018-03-12 2019-09-20 松下知识产权经营株式会社 Tracking device and tracking
CN110633652A (en) * 2019-08-27 2019-12-31 宇龙计算机通信科技(深圳)有限公司 Unexpected situation determination method and device and electronic equipment
CN111047827A (en) * 2019-12-03 2020-04-21 北京深测科技有限公司 Intelligent monitoring method and system for environment-assisted life
WO2021217848A1 (en) * 2020-04-29 2021-11-04 平安科技(深圳)有限公司 Human body falling detection method and apparatus, and computer device and storage medium
CN112819855A (en) * 2020-12-31 2021-05-18 广州紫川电子科技有限公司 Personnel tumbling detection method, equipment and medium based on nursing home
CN113990037A (en) * 2021-11-01 2022-01-28 珠海华发人居生活研究院有限公司 Intelligent monitoring system for health and accidents of old people
CN117116004A (en) * 2023-10-25 2023-11-24 深圳市微克科技有限公司 Tumble alarm method, system and medium of intelligent wearable device

Similar Documents

Publication Publication Date Title
CN106373336A (en) Fall detection method and device
CN109508688B (en) Skeleton-based behavior detection method, terminal equipment and computer storage medium
JP6534499B1 (en) MONITORING DEVICE, MONITORING SYSTEM, AND MONITORING METHOD
CN104361321A (en) Methods of judging fall behaviors and body balance for old people
CN105940434A (en) Information processing device, information processing method, and program
WO2021227874A1 (en) Falling behaviour detection method and device
CN109963539A (en) Nurse auxiliary system and its control method and program
CN105960663A (en) Information processing device, information processing method, and program
CN105940428A (en) Information processing apparatus, information processing method, and program
TWI541769B (en) Falling down detecting systems and method
CN110390329A (en) A kind of terahertz image recognition methods and system based on deep learning
JP2019052889A (en) Image processor
CN113384267A (en) Fall real-time detection method, system, terminal equipment and storage medium
Barabas et al. Kinect-based platform for movement monitoring and fall-detection of elderly people
US11288817B2 (en) Image processing device, stationary object tracking system, image processing method, and recording medium
CN110738077B (en) Foreign matter detection method and device
CN116524435A (en) Online invigilation method based on electronic fence and related equipment
CN114120368A (en) Target detection method and detection equipment
CN116071696A (en) Building stair congestion detection method and device based on YOLOv7
CN105550531B (en) A kind of intelligent nursing management instrument
WO2018235628A1 (en) Monitoring assistance system, control method therefor, and program
CN113780255A (en) Danger assessment method, device, equipment and storage medium
JP2021099818A (en) Information processing device, information processing method, and program
CN112651275A (en) Intelligent system for recognizing pedaling accident inducement behaviors in intensive personnel places
CN111507192A (en) Appearance instrument monitoring method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20170201