JP2001043463A - Device for detecting person - Google Patents

Abstract

PROBLEM TO BE SOLVED: To eliminate the possibility of detecting a person erroneously in place of the turning-on/off of illumination by eliminating the possibility of erroneous detection in a person detecting device using an image pickup means with low resolution such as the artificial retina and, especially, discriminating the change of a movement quantity by means of the change of illumination turning-on/off or of the sunlight from the movement quantity by means of the action of a person. SOLUTION: A detecting area by the person detecting device is divided into three areas, that is, an entrance part, a washing place part and a bathtub part. The scalar average of optical flows obtained from the image of the artificial retina is calculated so that the movement quantity at every area is obtained. When the movement quantity at every area changes in a same way, it is judged to be the one by illumination or the sunlight. It is judged that the person is detected when only the movement quantity of a part of the area is largely changed.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a human detection device. In particular, the present invention relates to a human detection device that monitors human motion using a low-resolution image sensor such as an artificial retina.

[0002]

2. Description of the Related Art There has been proposed a human detection device which monitors movement of a person in a bathroom by means of an artificial retina and detects an accident such as a stroke of a bather and immediately notifies the user of the accident. I have.

However, the artificial retina used in this human detection device has a smaller number of pixels than an ordinary CCD camera or the like, and captures human movement by image processing technology based on coarse image data of 256 grayscale levels. ing. In particular,
The amount of received light at each pixel is sampled at regular intervals,
The motion of the person is determined by comparing the current image data with the image data of the immediately preceding point.

[0004] Therefore, while monitoring the bathroom,
If the lighting in the bathroom is turned on or off, or the sun suddenly enters or leaves the clouds and the brightness of the bathroom suddenly changes, there is a bather even if there is nobody in the bathroom In some cases, people misunderstood or misjudged human movements.

[0005] In a human detection device using an artificial retina,
Since the data detected when the bather stopped near the entrance (the amount of motion) and the data detected when leaving the room were almost the same, it was difficult to distinguish between the two, and the bather stopped near the entrance. Despite the fact that there was only one, there was a risk of false detection that the person had left the room.

[0006]

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned technical problems, and an object of the present invention is to detect humans using low-resolution imaging means such as an artificial retina. An object of the present invention is to reduce the possibility of erroneous detection in a device.

[0007]

The human detecting device according to the present invention is based on low-resolution imaging means for dividing a detection area into a plurality of areas for monitoring, and based on image data of the imaging means. Means for obtaining difference data indicating a motion direction for each pixel, calculating a scalar average or a scalar sum of the difference data for each area to obtain a motion amount of an image for each area. .

When the brightness of the detection area changes due to the on / off state of the lighting or the influence of sunlight, the brightness similarly changes in each area, so that the motion amount in each area changes substantially equally. On the other hand, when a person is in the detection area, only the amount of movement in the area where the person is active changes significantly. Therefore, according to the human detection device described in claim 1, by comparing the amount of movement in each area, it is determined whether the brightness of the detection area has changed due to illumination, sunlight, or the like, or whether there is a person in the detection area. Can be determined, and erroneous detection due to illumination or sunlight can be reduced.

According to a second aspect of the present invention, there is provided a human detection device, wherein low-resolution imaging means and difference data indicating a motion direction for each pixel are obtained based on the imaging data of the imaging means, and a scalar average or scalar of the difference data is obtained. Means for calculating the sum of the images to determine the amount of motion of the image and calculating the vector average or vector sum of the difference data to determine the amount of movement of the image.

In the human detection device according to the second aspect, since the amount of movement (the amount of activity) of the image, which is a scalar amount, can be obtained, a person is active in the detection area based on the amount of movement. Can be detected. Further, the moving direction of the person can be known from the moving amount of the image which is the vector average or the vector sum of the difference data. Therefore, according to this person detection device, while monitoring the activity state of the person, it is possible to determine whether the person is active in a stationary state or moving.

[0011]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS (First Embodiment) FIG. 1 shows the configuration of a human detection device incorporated in a remote controller or the like installed in a bathroom. Imaging unit 2 of human detection device 21
2 is a 32 × 32 pixel (= 1024 pixel) CM
An image detection unit 25 including an OS array, an imaging lens 26,
It comprises a scanner 27, a multiplexer 28 and a scanner drive control unit 29. Each pixel of the image detection unit 25 is configured by a pixel core circuit 30 as shown in FIG. The pixel core circuit 30 includes a light receiving element 31, a charge storage circuit 32, and a sensitivity variable circuit 33. The sensitivity variable terminal 34 and the reset terminal 35 are connected to the scanner 27, and the photocurrent output terminal 36 is connected to the multiplexer 28. ing.

[0012] In the image pickup section 22, the image in the bathroom is formed by the image forming lens 26 into the image detecting section 25.
Is imaged. The scanner 27 includes the scanner drive control unit 2
9 is controlled so that each pixel row of the image detection unit 25 is sequentially set to a light receiving state (on state) at a constant cycle. The photocurrents simultaneously output from the pixels in one column in the light receiving state are converted into serial data by the multiplexer 28 and output to the image processing unit 23, and the determination unit 24 monitors the presence or absence of a bather in the bathroom. You.

Next, an image processing method for extracting a motion of a person from an image captured by the artificial retina will be described. The image processing unit 23 receives image information from all pixels constituting the image detection unit 25 at regular intervals. Upon receiving the image information at regular intervals, the image processing unit 23 analyzes the movement of the bather from the image information according to a predetermined analysis algorithm, and monitors the movement of the bather. Specifically, FIG.
It is assumed that the image (bright image) 37 of the square object moves from the position P1 to the position P2 as shown in FIG. Therefore, if bright pixels are represented by symbol B and dark pixels are represented by symbol D, the previous image is represented by FIG. 3B and the current image is represented by FIG. 3C. The image processing unit 23 calculates, for each pixel (x, y), the light reception amount Pn (x, y) of the previous image p and the light reception amount Pn of the current image n.
Difference from (x, y) D (x, y) = Pn (x, y) -P
p (x, y) [...] are obtained to obtain a difference image as shown in FIG. In the difference image of FIG. 4, the difference D (x, y)
, Positive pixels are represented by + symbols, negative pixels are represented by-symbols, and pixels where D (x, y) is zero are represented by 0 symbols.

First, consider the movement of an image in a simple one-dimensional case. The movement of the object can be determined by the boundaries of the image, and the movement of the boundaries of the image is expressed as a non-zero value (positive or negative value) of the difference there. For example, if the left boundary of the image moves to the right as shown in FIG. 5A, the difference D (x, y) at the pixel at this boundary is negative, and the difference D ( x, y) = 0.
Also, assuming that the left boundary of the image moves to the left as shown in FIG.
(X, y) is positive, and the difference D
(X, y) = 0. Similarly, if the right boundary of the image moves rightward as shown in FIG. 5C, the difference D (x, y) at the pixels at this boundary is positive, and the difference D (X, y) = 0. If the right boundary of the image moves to the left as shown in FIG.
The difference D (x, y) at the pixel at this boundary is negative, and the difference D (x, y) = 0 at the pixels on both sides.

As can be seen from FIG. 5, when a difference image is obtained from the previous image and the current image, the difference becomes a non-zero value [D (x, y) ≠ 0] at the boundary of the moving image. It is determined that the image boundary represented by the pixel is moving in the following direction. When D (x, y) <0: Direction where a bright pixel (B) exists among adjacent pixels D (x, y)> 0: Direction where a dark pixel (D) exists among adjacent pixels

Next, it is necessary to apply this one-dimensional moving direction analysis method to a two-dimensional image. For that purpose, the motion of the image is considered by dividing the direction on the pixel into a total of four directions of a vertical direction, a horizontal direction, and a diagonal direction (a diagonal direction rising rightward and a diagonal direction falling rightward). FIG. 6A shows the difference (scalar) between the current image and the previous image obtained by applying the above equation for each of the four directions, and obtains the difference between the current image and the previous image shown in FIGS. The direction of movement in each direction is determined from the difference image of the above by the above expression, and each difference D (x, y) is represented by a vector. When the difference in each direction is obtained in this way, the difference for each pixel can be represented as a vector as shown in FIG. The vector group shown in FIG. 6 (c) is called an optical flow, which is an average of the difference vectors of the pixel concerned and its surrounding 3 × 3 pixels. Human movement (activity) can be detected.

Further, in the human detection device 21 of the present invention, as described below, whether there is a human in the bathroom,
It is determined whether the light amount changes due to turning on / off the lighting, sunlight, or the like. That is, the human detection device 21 divides the monitoring area in the bathroom 1 into three areas of the entrance 2, the washing area 3, and the bathtub 4, as shown in FIG. 7, and detects the amount of movement for each area. . In addition, in FIG. 7, 5 is a bathtub, 6
Is Karan and 7 is a bathroom door.

Here, the amount of movement refers to each area 2, 3, 4
It is the average of the scalar amounts of the optical flows of each pixel (scalar average) or the sum of the scalar amounts (scalar sum). Then, the difference amount of the movement amount between the areas, that is, ΔH1 = | the movement amount at the entrance part−the movement amount at the washing place part | ΔH2 = | the movement amount at the washing place part−the movement amount at the bathtub part | ΔH3 = | the bathtub part Is obtained by subtracting the difference amount ΔH1, ΔH2, and ΔH3 from each other when the difference amounts are equal to or less than a predetermined value. Here, | ... | is an absolute value.

Considering the case where the lighting in the bathroom 1 is turned on and off and the intensity of sunlight changes, the entrance 2, the washing place 3 and the bathtub 4 are all similarly bright. Since the color becomes darker or darker, the temporal change of the motion amount (scalar average of the optical flow) in each area is as shown in, for example, FIGS. 8A, 8B, and 8C. Accordingly, in this case, the difference amounts ΔH1, ΔH2, and ΔH3 of the motion amounts between the respective areas are small, and if all of them are equal to or smaller than a predetermined value γ (which can be experimentally determined), FIG. (B) It is determined that the change in the amount of movement as in (c) is not due to the movement of the person but due to a change in the amount of light such as illumination.

On the other hand, if there is a person in any of the areas, there is no movement of the person in the other areas.
(B) As shown in (c), a large change appears only in the motion amount of a part of the area. Therefore, for example, when there is a person in the washing section 3, only the operation amount in the washing section 3 becomes large, and the difference amount ΔH3 becomes smaller than the predetermined value γ, but the difference amounts ΔH1 and ΔH2 become larger than the predetermined value γ. growing.

Therefore, if ΔH1 ≦ γ ΔH2 ≦ γ ΔH3 ≦ γ... Holds, even if an optical flow is detected in each area, it is not due to the movement of a person, but to illumination or sunlight. It is determined that the detected optical flow is due to a motion of a person, if any of these conditions is not satisfied. As a result, it is possible to reduce the risk of detecting a change in brightness in the bathroom by mistake with a person.

Note that conditions other than the above expression may be used as conditions for determining that the disturbance is illumination or sunlight. For example, if ΔH1 ≒ ΔH2 ≒ ΔH3, it may be determined that disturbance is caused by illumination or sunlight, and otherwise, it is caused by a person.

(Second Embodiment) In this embodiment, a state in which a bather 11 stops near the entrance of a bathroom 1 is described.
It is possible to determine that the bather has left the bathroom 1 and to use the direction vector together with the amount of movement. Here, the motion amount is, as described above, a value obtained by averaging the scalar amount of the optical flow for each pixel, or a scalar sum. On the other hand, the direction vector is an average value of the optical flow as a vector amount for each pixel, or a vector sum.

FIG. 10 shows how the bather 11 leaves the bathroom 1, and FIGS. 11 (a) and 11 (b) show the waveform of the amount of movement and the waveform of the direction vector at that time. FIG. 12 shows a state in which the bather 11 stops near the entrance,
FIGS. 13A and 13B show the waveform of the motion amount and the waveform of the direction vector at that time. In FIGS. 10 and 12, reference numeral 8 denotes illumination. The amount of motion used for determination by the human detection device is useful for determining whether a person is active in the bathroom 1 or has fallen due to an accident such as a stroke, but is calculated by a scalar average or a scalar sum of optical flows. Therefore, it is impossible to determine the moving direction. Therefore, as can be seen from FIGS. 11 (a) and 13 (a),
The amount of movement when the bather 11 leaves the room is similar to the amount of movement when standing near the entrance, and it is difficult to determine.

On the other hand, it is difficult to determine whether the direction vector is stopped or operating at all, but it is useful for determining whether or not there is movement as a whole. Therefore, when the person stops near the entrance, the bather does not move as a whole, and the direction vector does not change in the entering direction or the leaving direction as shown in FIG. Then, as shown in FIG. 11B, the direction vector changes in the exit direction. Therefore,
By using the direction vector, it is possible to reliably discriminate between the time of leaving or entering the room and the case where the vehicle stops near the entrance.

According to this embodiment, the case where the bather 11 only stops and is active near the entrance is less likely to be erroneously detected as a leaving operation or a entering operation, and the reliability of the human detection device is improved. be able to.

(Third Embodiment) FIG. 14 is a schematic diagram showing an application example of a human detection device according to still another embodiment of the present invention. In this embodiment, the priority of the operation of the water heater 12 is automatically switched by detecting entry and exit.

In this embodiment, as shown in FIG.
A human detection device (particularly, a human detection device as described in the second embodiment) 21 is installed in the bathroom 1. The human detection device 21 and the kitchen remote controller 14 installed in the kitchen 13 are electrically connected to the controller of the water heater 12 through a signal line 15. The kitchen remote controller 14 is provided with a switch for setting a tapping temperature, so that an appropriate temperature of hot water used in the kitchen can be set. Further, the human detection device 21 is attached to a wall or a ceiling of the bathroom 1, and the human detection device 21 is connected to the signal line 16 as well.
Is connected to the controller of the water heater 12.

Thus, the bather 11 sets the set temperature of the bath and the hot water supply temperature of the shower or curan before bathing.
When a person enters the bathroom 1, the human detection device 21 detects entry, switches the priority of the set temperature of the water heater 12 from kitchen priority to bathroom priority, and changes the outlet temperature of the water heater 12 to the temperature set on the bathroom side. I do. Therefore, the kitchen remote controller 1
Regardless of the value of the set temperature in step 4, the hot water temperature from the water heater 12 is automatically switched to the set temperature on the bathing side, thereby avoiding the danger of inadvertent burns to the bather. When a person leaves the bathroom 1, the person detecting device 21 detects the leaving, and automatically returns the priority of the hot water supply temperature from the bathroom priority to the kitchen priority. Therefore, when the kitchen or the like of the kitchen 13 is opened, hot water of the temperature set by the kitchen remote controller 14 is supplied from the water heater 12.

In this embodiment, when taking a bath, there is no need to press the priority switch to switch to the bathroom priority as in the prior art. For this reason, it is necessary to forget to switch to the bathroom priority and to take hot water from a shower or the like. The danger is eliminated and a very comfortable and gentle bathroom space can be created for users from children to the elderly. Further, since the situation in the bathroom 1 can be monitored by the human detection device 21, the safety is high. In addition, since the priority of hot water supply is automatically switched by detecting entry and exit, the remote controller in the bathroom 1 can be eliminated, and a modern remote controller is installed in a Japanese-style bathroom to design a bathroom. Will not be unbalanced.

(Fourth Embodiment) FIG. 15 is a schematic diagram showing an application example of a human detection device according to still another embodiment of the present invention. In this embodiment, if a bather is detected and the user is in the room, the setting and operation of the water heater 12 are switched to a voice operation.

In this embodiment, as shown in FIG.
The human detection device 21 is installed in the bathroom 1, and the voice receiving sensor 17 is provided near the human detection device 21. Human detection device 2
1 and the voice receiving sensor 17 are connected to the controller of the water heater 12 via a signal line 16, and the kitchen remote controller 14 is also connected to the controller of the water heater 12 via a signal line 15.

When the person detecting device 21 detects that a person has entered the bathroom 1, the person detecting device 21 turns on the voice receiving sensor 17. When the voice receiving sensor 17 is turned on, the bather 11 can communicate with the kitchen remote controller 14 or the water heater 12 by voice via the voice receiving sensor 17, and can set or change the tapping temperature by voice. Other functions and the like provided in the normal bathroom remote controller 14 may be operated by voice in consideration of safety. On the other hand, when the human detecting device 21 detects that the person has left the room, the voice receiving sensor 17 is turned off, and the operation by voice is disabled.

Therefore, according to such an embodiment, the situation in the bathroom 1 can be monitored by the human detection device 21 to quickly detect an accident, and the set temperature can be changed from any position in the bathroom 1 by voice. You can bathe comfortably.

(Fifth Embodiment) In recent years, in the field of bathing physiology, if a temperature rise of about 2 ° C. is observed during bathing (while immersed in a bathtub), blood coagulates and causes factors such as cerebral thrombosis. Is becoming clear.
Therefore, in this embodiment, the time spent in the bathtub 5 is measured by the human detection device 21 and the bather is notified when the optimal bathing time has elapsed, so as to support a comfortable and healthy bathing. It was done.

FIG. 16A shows the interior of the bathroom 1. A bathroom remote controller 18 is mounted on a wall surface above the bathtub 5, and the bathroom remote controller 18 and the water heater 12 are connected by a signal line 19. The callan 6 is provided on the wall of the washing area. Also, a human detection device 21 using an artificial retina on the ceiling surface of the bathroom 1
Is installed, and the human detection device 21 and the water heater 12 are connected by a signal line 16. Then, as shown in FIG. 16B, the bather 11 is immersed in the bathtub 5 and the
When a person detects a person in the bathtub 5, for example, the hot water in the bathtub 5 is detected by circulating the hot water in the bathtub 5 through the additional heating circuit. Then, the optimum bathing time at that time is calculated, and the elapsed bathing time is monitored by a timer. When the optimal bathing time has elapsed, the human detection device 21 notifies the bather 11 via the bathroom remote controller 18 that the optimal bathing time has elapsed.

FIG. 17 is a flowchart specifically showing the processing in this embodiment. Describing according to this flowchart, when the human detection device 21 detects entry of a person (S
1) The fact that the entry is detected is communicated to the water heater 12 (S).
2). Next, after confirming that hot water of a predetermined water level or more is stored in the bathtub 5 (S3), the bathtub water is circulated to the additional heating circuit by circulation operation, and the hot water temperature in the bathtub 5 is checked (S4). The optimum bathing time for the detected hot water temperature is calculated, and the optimum bathing time is displayed on the liquid crystal display of the bathroom remote controller 18 (S5). And FIG.
When the person detection device 21 detects that a person has entered the bathtub 5 as in (b) (S6), the elapsed time of bathing is monitored by a timer (S7). When the bathing elapsed time exceeds the optimum bathing time (set time) (S8), the fact that the optimum bathing time has elapsed is displayed on the liquid crystal display unit of the bathroom remote controller 18 or notified by a voice message (S).
9). Next, the operation of the bather is confirmed by the human detection device 21 (S10). If the bather moves (S11), a short time is set in the timer and the timer is started again (S1).
2), after the elapse of the set time of the timer, the notification is made again (S
9). On the other hand, if the movement of the bather 11 cannot be confirmed, a warning that an abnormality has occurred is issued from the kitchen remote controller 14 or the like (S13).

Thus, according to this embodiment, a healthy and safe bathing system can be provided.

(Sixth Embodiment) In recent years, when performing hair washing and body washing in a bathroom, the number of people who use hot water without leaving it has been increasing. Therefore, energy saving is important from the viewpoint of energy resources. Therefore, in this embodiment, the integrated flow rate of hot water is monitored, and when the integrated flow rate exceeds a certain amount, a notification such as a voice message is made.

FIG. 18A shows the interior of the bathroom 1. A bathroom remote controller 18 is mounted on a wall surface above the bathtub 5, and the bathroom remote controller 18 and the water heater 12 are connected by a signal line 19. There is a curan 6 on the wall of the washing area. Also, a human detection device 21 using an artificial retina on the ceiling surface of the bathroom 1
Is installed, and the human detection device 21 and the water heater 12 are connected by a signal line 16. When a person enters the bathroom 1, the integrated flow rate of hot water (or water) is temporarily reduced to zero at that time, and the integration of the flow rate of hot water is started from that time.
As shown in FIG. 18 (b), for example, while hot water is being used from a currant 6 or the like in a washing place and hot water is being used, the used flow rate is continuously accumulated. The voice unit in the detection device 21 issues a voice message such as “The usage amount is a little high” or an alarm sound to notify the user. Bather 11
When the room exits, the monitoring of the integrated flow rate ends. This makes bathers conscious of saving water and can promote resource saving and energy saving.

It should be noted that, apart from the cumulative flow rate of hot water for each bathing, the cumulative flow rate per day is monitored so that the daily usage amount can be known or the daily usage amount can be notified. You may.

[0042]

According to the human detecting device of the first aspect,
Since the amount of motion of the image is monitored for each of multiple areas,
By comparing the amount of movement in each area, whether the brightness of the detection area has changed due to lighting, sunlight, etc.,
It is possible to determine whether there is a person in the detection area, and it is possible to reduce erroneous detection due to lighting or sunlight.

According to the human detecting device of the second aspect,
Since the moving direction of the person can be known from the moving amount of the image that is the vector average or the vector sum of the difference data,
It is possible to determine whether the person is stationary or moving. Therefore, when the user stops near the entrance of the bathroom, it is possible to reduce the risk of erroneously determining that the person has left the room, for example.

[Brief description of the drawings]

FIG. 1 is a diagram showing a configuration of a human detection device according to an embodiment of the present invention.

FIG. 2 is a circuit diagram illustrating a configuration of a pixel core circuit that forms one pixel of an image detection unit of the human detection device according to the first embodiment.

3A is a diagram showing a current image and a previous image of an object moved to the lower right, FIG. 3B is a diagram showing the brightness of the previous image for each pixel, and FIG. 3C is the brightness of the current image Is a diagram showing for each pixel.

FIG. 4 is a diagram illustrating a difference image showing a change in brightness at a pixel corresponding to a boundary of an image.

FIG. 5 is a diagram illustrating a relationship between a change in brightness of each pixel and a moving direction of an image.

6A is a diagram showing a difference vector expressed by being decomposed in each direction, FIG. 6B is a diagram showing a combined difference vector, and FIG. 6C is a diagram showing an averaged difference vector It is.

FIG. 7 is a diagram showing three areas assumed in a bathroom.

FIGS. 8A, 8B, and 8C are diagrams showing changes in the amounts of movement in three areas in the bathroom when lighting, sunlight, and the like change.

FIGS. 9A, 9B, and 9C are diagrams showing changes in the amount of movement in three areas in the bathroom when a person is in the bathtub of the bathroom.

FIG. 10 is a schematic diagram for explaining another embodiment of the present invention, and shows a state when the user leaves the room.

11A is a diagram showing a change in the amount of motion when the user leaves the room, and FIG. 11B is a diagram showing a change in the direction vector when the user leaves the room.

FIG. 12 is a schematic diagram showing a state of stopping near an entrance of a bathroom.

13A is a diagram illustrating a change in the amount of motion in a state of stopping near the entrance, and FIG. 13B is a diagram illustrating a change of a direction vector in a state of stopping near the entrance.

FIG. 14 is a schematic view showing still another embodiment of the present invention.

FIG. 15 is a schematic view showing still another embodiment of the present invention.

FIG. 16A is a schematic view showing still another embodiment of the present invention, and FIG. 16B is a schematic view showing a state of bathing in a bathtub.

FIG. 17 is a flowchart illustrating a process for monitoring a bathing time in the embodiment.

FIG. 18A is a schematic diagram showing still another embodiment of the present invention, and FIG. 18B is a schematic diagram showing a state where hot water is used in a washing place.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Bathroom 2 Entrance part 3 Washing place part 4 Bathtub part 5 Bathtub 6 Karan 12 Water heater 14 Kitchen remote controller 17 Voice reception sensor 18 Bathroom remote controller 21 Person detection device

 ──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Yoshiyuki Fujii 93, Edo-cho, Chuo-ku, Kobe, Hyogo Prefecture Inside (72) Inventor Kenichi Yamaguchi 93, Edo-cho, Chuo-ku, Kobe, Hyogo Prefecture (72) Inventor Noriaki Maeshiro 93, Edocho, Chuo-ku, Kobe, Hyogo Prefecture Inside Noritz Co., Ltd. (72) Inventor Nanada Teizumi 93, Edocho, Chuo-ku, Kobe City, Hyogo Prefecture 5L096 AA06 BA02 CA02 FA32 FA39 GA08 GA19 HA04 JA11 9A001 HH20 HH30 KK62 LL03

Claims (2)

[Claims] 1. A low-resolution imaging unit that divides a detection area into a plurality of areas for monitoring, and difference data indicating a motion direction of each pixel is obtained based on imaging data of the imaging unit.
Means for calculating a scalar average or a scalar sum of difference data for each area to obtain a motion amount of an image for each area. 2. A low-resolution image pickup means, and difference data indicating a motion direction for each pixel are obtained based on image pickup data of the image pickup means, and a scalar average or a scalar sum of the difference data is calculated to obtain a motion amount of the image. And a means for calculating a vector average or a vector sum of the difference data to obtain a moving amount of the image.