JP2016099821A - Monitoring device, monitoring system and monitoring method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a monitoring device, a monitoring system with the monitoring device, and a monitoring method capable of effectively using a photographed image.SOLUTION: The monitoring device monitors a region including a road on the basis of the photographed image acquired by taking with a photographing section. The monitoring device comprises: an identification section for identifying, on the photographed image, a first region and a second region which are different according to whether monitoring frequency is high or low; an image processing section for performing image processing for monitoring for the photographed image relating to the identified first region; and a transmission section for transmitting the photographed image relating to the identified second region to an external monitoring server.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a monitoring device that monitors a region including a road based on a captured image obtained by imaging with an imaging unit, a monitoring system including the monitoring device, and a monitoring method.

  2. Description of the Related Art Traffic flow measurement devices (traffic counters) that can detect a vehicle traveling on a road and perform traffic flow measurement based on an image captured by capturing the road are used. Such a traffic flow measuring device, for example, attaches a camera equipped with a fisheye lens to a column of a road illumination light installed at a predetermined interval in a road separation zone and, based on the image captured by the camera, the vehicle head or the tail of the vehicle is measured. By detecting, traffic volume such as average speed, average inter-vehicle distance, the number of passing vehicles per predetermined time is measured (see Patent Document 1).

JP 2005-284678 A

  However, the traffic flow measuring device of Patent Document 1 can monitor (measure) only the vehicle. In addition, since a fisheye lens is provided, a wide area can be imaged, but the area for measuring traffic is limited to the vicinity of the center of the captured image, and the other areas are not used and are useless areas. On the other hand, it is also desired to quickly detect not only traffic volume but also abnormalities around roads.

  The present invention has been made in view of such circumstances, and an object thereof is to provide a monitoring apparatus that can effectively use a captured image, a monitoring system including the monitoring apparatus, and a monitoring method.

  A monitoring device according to an embodiment of the present invention is a monitoring device that monitors a region including a road based on a captured image obtained by imaging with an imaging unit, and is different depending on the frequency of monitoring. A specifying unit that specifies a region and a second region on the captured image, an image processing unit that performs image processing for monitoring the captured image related to the first region specified by the specifying unit, and the specifying unit A transmission unit that transmits the captured image relating to the identified second region to an external monitoring server.

  A monitoring system according to an embodiment of the present invention includes a monitoring device that monitors a region including a road based on a captured image obtained by imaging with an imaging unit, and a monitoring server that communicates with the monitoring device. The monitoring apparatus includes: a specifying unit that specifies a first region and a second region that differ according to the frequency of monitoring on the captured image; and a first region specified by the specifying unit. An image processing unit that performs image processing for monitoring the captured image according to the above, and a transmission unit that transmits the captured image related to the second area specified by the specifying unit to the monitoring server. A receiving unit that receives a captured image related to the second region, and a processing unit that performs a predetermined process on the captured image received by the receiving unit.

  A monitoring method according to an embodiment of the present invention is a monitoring method for monitoring an area including a road based on a captured image obtained by imaging with an imaging unit, and is different according to the frequency of monitoring. A step of specifying a region and a second region on the captured image by the specifying unit; a step of performing an image processing for monitoring the captured image related to the specified first region; And a step of transmitting a captured image relating to the second region to an external monitoring server.

  According to the present invention, captured images can be used effectively.

It is a block diagram which shows an example of a structure of the monitoring apparatus system of this Embodiment. It is a schematic diagram which shows an example of the captured image which the monitoring apparatus of this Embodiment images. It is explanatory drawing which shows an example of the parameter of the captured image which the monitoring apparatus of this Embodiment cuts out. It is explanatory drawing which shows an example of the parameter of the captured image cut out, when the monitoring apparatus of this Embodiment acquires the notification of abnormality detection. It is a flowchart which shows an example of the process sequence of the monitoring apparatus of this Embodiment.

[Description of Embodiment of Present Invention]
A monitoring device according to an embodiment of the present invention is a monitoring device that monitors a region including a road based on a captured image obtained by imaging with an imaging unit, and is different depending on the frequency of monitoring. A specifying unit that specifies a region and a second region on the captured image, an image processing unit that performs image processing for monitoring the captured image related to the first region specified by the specifying unit, and the specifying unit A transmission unit that transmits the captured image relating to the identified second region to an external monitoring server.

  A monitoring system according to an embodiment of the present invention includes a monitoring device that monitors a region including a road based on a captured image obtained by imaging with an imaging unit, and a monitoring server that communicates with the monitoring device. The monitoring apparatus includes: a specifying unit that specifies a first region and a second region that differ according to the frequency of monitoring on the captured image; and a first region specified by the specifying unit. An image processing unit that performs image processing for monitoring the captured image according to the above, and a transmission unit that transmits the captured image related to the second area specified by the specifying unit to the monitoring server. A receiving unit that receives a captured image related to the second region, and a processing unit that performs a predetermined process on the captured image received by the receiving unit.

  A monitoring method according to an embodiment of the present invention is a monitoring method for monitoring an area including a road based on a captured image obtained by imaging with an imaging unit, and is different according to the frequency of monitoring. A step of specifying a region and a second region on the captured image by the specifying unit; a step of performing an image processing for monitoring the captured image related to the specified first region; And a step of transmitting a captured image relating to the second region to an external monitoring server.

  The specifying unit specifies a first area and a second area, which differ depending on the frequency of monitoring, on the captured image. For example, an area with a high monitoring frequency can be a first area, and an area with a low monitoring frequency can be a second area. A plurality of first regions and a plurality of second regions can be specified on the captured image. For example, the first area is a traffic volume area in which the traffic volume is measured in real time, and can be an area including all lanes on one side of the opposite road and an area including all lanes on the other side. Further, the second area is an area that needs to be monitored off-line, and can be a peripheral area such as the vicinity of the central separation zone of the opposite road and the vicinity of the shoulder of each road.

  The image processing unit performs image processing for monitoring on the captured image related to the first area specified by the specifying unit. This makes it possible to measure in real time the number of vehicles that travel in a traffic volume region that is frequently monitored, the average number of vehicles per predetermined time, the average speed, the average inter-vehicle distance, and the like.

  The transmission unit transmits the captured image related to the second area specified by the specifying unit to an external monitoring server. By transmitting the captured image related to the second area other than the first area for measuring the traffic volume to an external monitoring server, the captured image capturing the periphery of the road can be set as the monitoring target, and the captured image is effectively used. can do. In addition, the second area is not an area where the situation changes in real time and has a lower monitoring frequency than the first area. Therefore, real-time processing by the image processing unit is unnecessary, and the second area may be transmitted to an external monitoring server. The monitoring accuracy is not degraded. In addition, since the processing of the captured image related to the second region is distributed to the external monitoring server, it contributes to the reduction of the processing load of the monitoring device, and it is possible to suppress the cost increase due to the enhancement of the image processing capability.

  In the monitoring apparatus according to the embodiment of the present invention, the specifying unit specifies the first region in a predetermined first cycle, and specifies the second region in a second cycle longer than the first cycle. It is.

  The specifying unit specifies the first region with a predetermined first period and specifies the second region with a second period longer than the first period. The first period can be an imaging period of the imaging unit, and can be, for example, 30 frames per second. In this case, the first period is about 33 ms. The second period is a period that does not require real-time processing. Since abnormalities around roads (eg, falling obstacles, broken shoulders, landslides, traffic accidents, etc.) are not frequent events, and the state does not change from moment to moment, the second period is, for example, It can be about once every 5 minutes and about once every 10 minutes. Thereby, even if it takes time to transmit image data from the monitoring device to the monitoring server, the captured image in the second area can be processed by the external monitoring server.

  In the monitoring apparatus according to an embodiment of the present invention, the specifying unit specifies the first area as a traffic volume area for measuring traffic volume, and the second area as a peripheral area for monitoring a road periphery. Is to be specified.

  The specifying unit specifies the first area as a traffic area for measuring the traffic volume, and specifies the second area as a peripheral area for monitoring the periphery of the road. As a result, the traffic volume can be measured in real time, and the vicinity of the road can be monitored at a required monitoring frequency.

  The monitoring apparatus according to an embodiment of the present invention includes an adjustment unit that adjusts a resolution of a captured image related to the second region specified by the specifying unit, and the transmission unit adjusts the resolution by the adjustment unit. The captured images related to the two areas are transmitted to the monitoring server.

  The adjusting unit adjusts the resolution of the captured image related to the second region specified by the specifying unit. For example, the second area such as the road periphery does not need the resolution like the first area for measuring traffic volume, and is adjusted to lower the resolution. A transmission part transmits the captured image which concerns on the 2nd area | region which adjusted the resolution in the adjustment part to a monitoring server. Thereby, the data amount at the time of transmitting image data to the monitoring server can be reduced.

  The monitoring apparatus according to an embodiment of the present invention includes an acquisition unit that acquires an abnormality detection notification from the monitoring server, and the adjustment unit relates to the second region when the acquisition unit acquires the notification. The resolution of the captured image is increased, and the transmission unit transmits the captured image related to the second region with the increased resolution to the monitoring server.

  The acquisition unit acquires an abnormality detection notification from the monitoring server. Abnormality detection is performed by a monitoring server that processes a captured image related to the second area. For example, when the abnormality around a road (such as falling obstacles, broken shoulders, collapse, traffic accidents, etc.) is detected, the monitoring server Is to notify. When the acquisition unit acquires the notification, the adjustment unit increases the resolution of the captured image related to the second region, and the transmission unit transmits the captured image related to the second region with the increased resolution to the monitoring server. As a result, when the monitoring server detects an abnormality in the second area, an image in which the resolution of the captured image of the second area is increased is transmitted to the monitoring server, so that the abnormality around the road can be grasped in more detail. .

[Details of the embodiment of the present invention]
Hereinafter, a monitoring device according to an embodiment of the present invention will be described with reference to the drawings. Note that at least some of the embodiments described below can be arbitrarily combined. FIG. 1 is a block diagram illustrating an example of a configuration of a monitoring apparatus system 100 according to the present embodiment. The monitoring apparatus system 100 includes a monitoring apparatus 10 and a monitoring server 50.

  The monitoring apparatus 10 includes a control unit 11 that controls the entire apparatus, an imaging unit 12, an image cutout unit 13, a communication unit 14, a transmission unit 15, an image processing unit 16, and the like. The monitoring server 50 includes a CPU 51 that controls the entire monitoring server 50, a communication unit 52, an image input unit 53, a processing unit 54, a display unit 55, an operation unit 56, a storage unit 57, and the like. Below, the monitoring apparatus 10 is demonstrated first.

  The imaging unit 12 has a wide-angle lens including a fisheye lens, and can capture the road and the road periphery with a predetermined resolution. The predetermined resolution is, for example, a high resolution of about 2K / 4K, for example, 3840 × 2160, but is not limited to this. In the present embodiment, resolution is used as a term indicating the number of pixels of an image.

  In addition, the imaging unit 12 has a function of correcting a captured image in which a road lane or the like is curved through a wide-angle lens so that the road lane or the like is linear by performing predetermined image conversion. . Then, the imaging unit 12 outputs a captured image (video, image data) obtained by imaging to the image cutting unit 13 at a frame rate of 30 frames per second, for example. Note that the frame rate of the imaging unit 12 is not limited to 30 frames per second, and may be 60 frames per second.

  FIG. 2 is a schematic diagram illustrating an example of a captured image captured by the monitoring apparatus 100 according to the present embodiment. FIG. 2 is an example of a picked-up image (video) picked up by the image pickup unit 12 and shows a picked-up image after correction so that the road lanes, shoulders, etc. are straight. As shown in FIG. 2, the imaging unit 12 images the center of the opposite road, the vicinity of the road shoulder, and the like along with the bidirectional (opposite direction) of the three-lane road. Note that reference symbols A1, A2, B1, B2, and B3 in FIG. 2 will be described later. In the example of FIG. 2, the captured image is an image as seen from directly above the road surface. However, the captured image is not limited to the example of FIG. 2, and the road is viewed obliquely from above. Such an image may be used.

  The image cutout unit 13 has a function as a specifying unit, and specifies different first and second regions on the captured image according to the frequency of monitoring. For example, an area with a high monitoring frequency can be a first area, and an area with a low monitoring frequency can be a second area. A plurality of first regions and a plurality of second regions can be specified on the captured image.

  For example, the first region is a traffic region for measuring traffic in real time, and includes a region including all lanes on one side of the opposite road (a region indicated by reference numeral A1 in FIG. 2) and all the other sides. It can be set as the area | region (area | region shown by code | symbol A2 of FIG. 2) containing a lane. In addition, the second area is an area that needs to be monitored off-line, and is a peripheral area (indicated by reference sign B in FIG. 2) such as the vicinity of the central separation zone of the opposite road (indicated by reference sign B <b> 2 in FIG. 2) and the road shoulder. B1 and B3). In the following description, the areas A1 and A2 that are the first areas are also referred to as traffic areas A1 and A2, and the areas B1, B2, and B3 that are the second areas are also referred to as peripheral areas B1, B2, and B3.

  Specifying the first region and the second region on the captured image means, for example, cutting out the first region and the second region from the captured image.

  The image cutout unit 13 cuts out (specifies) the traffic volume areas A1 and A2 in a predetermined first period, and cuts out (specifies) the peripheral areas B1, B2, and B3 in a second period longer than the first period. The first cycle can be the imaging cycle of the imaging unit 12, and can be, for example, 30 frames per second. In this case, the first period is about 33 ms. The second period is a period that does not require real-time processing. Since abnormalities around roads (eg, falling obstacles, broken shoulders, landslides, traffic accidents, etc.) are not frequent events, and the state does not change from moment to moment, the second period is, for example, It may be once every 5 minutes, once every 10 minutes, but may be once every 30 minutes, once every hour, or once every few hours depending on the road conditions.

  The image cutout unit 13 outputs the captured images relating to the cut-out traffic volume areas A1 and A2 to the image processing unit 16 at the frame rate of 30 frames per second, for example, in the first cycle described above. Further, the image cutout unit 13 transmits the picked-up images related to the peripheral areas B1, B2, and B3 in the second cycle described above, for example, once every 5 minutes and once every 10 minutes. Output to.

  The image processing unit 16 performs image processing for monitoring the captured images related to the traffic volume areas A1 and A2. Image processing for monitoring includes, for example, detection of vehicles traveling in each lane, the number of vehicles passing per unit time, and the like. This makes it possible to measure in real time the number of vehicles that travel in a traffic volume region that is frequently monitored, the average number of vehicles per predetermined time, the average speed, the average inter-vehicle distance, and the like.

  The transmission unit 15 has a function as an output unit, and transmits captured images related to the peripheral areas B1, B2, and B3 to the external monitoring server 50. By transmitting captured images related to the second region (peripheral regions B1, B2, B3) other than the first region (traffic region A1, A2) for measuring the traffic volume to the external monitoring server 50, The captured image can also be a monitoring target, and the captured image can be used effectively. In addition, the peripheral areas B1, B2, and B3 are not areas where the situation changes in real time and are less frequently monitored than the traffic volume areas A1 and A2, so real-time processing by the image processing unit 16 is not necessary, Even if it is transmitted to the monitoring server 50, the monitoring accuracy is not deteriorated. In addition, since the processing of the captured images related to the peripheral areas B1, B2, and B3 is distributed to the external monitoring server 50, it contributes to the reduction of the processing load of the monitoring device 10 and suppresses the cost increase due to the enhancement of the image processing capability. You can also

  The image cutout unit 13 cuts out a captured image related to the first area as a traffic volume area for measuring the traffic volume, and cuts out a captured image related to the second area as a peripheral area for monitoring the periphery of the road. As a result, the traffic volume can be measured in real time, and the vicinity of the road can be monitored at a required monitoring frequency.

  Further, the transmission unit 15 transmits the captured images related to the peripheral areas B1, B2, and B3 cut out by the image cutout unit 13 to the monitoring server 50. As a result, even if the time required for transmitting the image data from the monitoring apparatus 10 to the monitoring server 50 (required transmission time) is required, the captured images related to the peripheral regions B1, B2, and B3 do not need to be processed in real time. Can be processed by the external monitoring server 50.

  Further, the image cutout unit 13 has a function as an adjustment unit, and adjusts the resolution of the captured image related to the peripheral regions B1, B2, and B3. For example, the surrounding areas B1, B2, and B3 such as the road periphery do not need the resolution as the traffic volume areas A1 and A2 that measure the traffic volume, and are adjusted to reduce the resolution.

  In addition, the image cutout unit 13 can perform image correction processing such as luminance correction, color correction, and gamma correction exceptionally according to the cutout area. For example, when the area to be cut out is dark behind a building or the like, processing for increasing the brightness is performed, and when the area to be cut out is bright, processing for decreasing the luminance is performed. Further, the image cutout unit 13 can adjust the luminance of the cut out captured image according to the weather. For example, in the case of rainy weather, correction can be performed to increase the luminance of the cut out captured image, and in the case of fine weather, correction can be performed to decrease the luminance of the cut out captured image. Thereby, the image quality of the captured image (video) can be improved. Note that the above-described image correction processing may be performed by the monitoring server 50 for the captured image transmitted to the monitoring server 50.

  The transmission unit 15 transmits the captured images related to the peripheral areas B1, B2, and B3 with the adjusted resolution to the monitoring server 50. Thereby, the data amount at the time of transmitting image data to the monitoring server 50 can be reduced.

  The communication unit 14 has a function as an acquisition unit, and acquires a notification of abnormality detection from the monitoring server 50. Further, the communication unit 14 can transmit / receive required data to / from the monitoring server 50. The abnormality detection will be described later.

  Next, the monitoring server 50 will be described.

  The communication unit 52 can transmit / receive required data to / from the monitoring device 10. For example, the communication unit 52 transmits a notification of abnormality detection to the monitoring device 10.

  The image input unit 53 receives the captured images related to the peripheral areas B1, B2, and B3 transmitted by the monitoring device 10, and outputs the received captured image to the processing unit 54.

  The processing unit 54 detects abnormalities around the road (falling obstacles, broken shoulders, collapse, traffic accidents, etc.) based on the captured images related to the surrounding areas B1, B2, and B3. If the processing unit 54 detects an abnormality, it outputs a message to that effect to the CPU 51.

  The processing unit 54 causes the display unit 55 to display the captured images related to the surrounding areas B1, B2, and B3, and the monitoring personnel visually confirm the captured image displayed on the display unit 55 to check whether there is an abnormality around the road. May be determined.

  The operation unit 56 accepts a predetermined operation to output an abnormality detection to the CPU 51 when the monitoring staff finds an abnormality around the road.

  The storage unit 57 stores necessary data such as captured images related to the peripheral areas B1, B2, and B3.

  When there is an abnormality around the road, the CPU 51 transmits an abnormality detection notification to the monitoring device 10 via the communication unit 52.

  Further, the CPU 51 can instruct the monitoring device 10 on the captured image coordinates of the traffic volume areas A1 and A2 and the peripheral areas B1, B2, and B3 to be cut out by the image cutout unit 13. Further, the CPU 51 may instruct the monitoring device 10 about the frame rate, resolution, bit rate, and the like of the captured images related to the traffic volume areas A1 and A2 and the peripheral areas B1, B2, and B3 cut out by the image cutout unit 13. it can.

  Next, a case where the monitoring device 10 acquires a notification of abnormality detection from the monitoring server 50 will be described. When the communication unit 14 obtains the notification of abnormality detection, the image cutout unit 13 increases the resolution of the captured images related to the peripheral regions B1, B2, and B3 under the control of the control unit 11, and performs imaging with increased resolution. The image is output to the transmission unit 15.

  The transmission unit 15 transmits the captured images related to the peripheral areas B1, B2, and B3 with increased resolution to the monitoring server 50. As a result, when the monitoring server 50 detects an abnormality in the peripheral areas B1, B2, and B3, an image in which the resolution of the captured images of the peripheral areas B1, B2, and B3 is increased is transmitted to the monitoring server 50. Can be grasped in more detail.

  FIG. 3 is an explanatory diagram illustrating an example of parameters of a captured image that is cut out by the monitoring apparatus 10 according to the present embodiment. As shown in FIG. 3, the parameters include, for example, resolution, frame rate, image processing destination, and the like. Note that the parameters are examples, and are not limited to the examples of FIG. For example, a bit rate can be included. In the example of FIG. 3, the resolution of the captured image related to the traffic volume area A1 is 3840 × 1080, the frame rate is 30 frames per second, and the image processing destination is the monitoring device 10 (image processing unit 16). The resolution of the captured image relating to the traffic volume area A2 is 3840 × 540, the frame rate is 30 frames per second, and the image processing destination is the monitoring device 10 (image processing unit 16).

  The resolution of the captured image related to the peripheral area B1 is 960 × 135, the frame rate is one frame every five minutes, and the image processing destination is the monitoring server 50. Further, the resolution of the captured image related to the peripheral area B2 is 960 × 135, the frame rate is one frame for 10 minutes, and the image processing destination is the monitoring server 50. Further, the resolution of the captured image related to the peripheral area B3 is 960 × 135, the frame rate is one frame every five minutes, and the image processing destination is the monitoring server 50.

  As shown in FIG. 3, the captured images related to the traffic volume areas A1 and A2 are subjected to image processing by the monitoring device 10 (image processing unit 16) at a frame rate of 30 frames per second, so that the traffic on the road in real time. The amount can be monitored. In addition, the captured images related to the traffic volume areas B1, B2, and B3 have a lower resolution and a slower frame rate than the traffic volume area, so that the monitoring device 10 and the monitoring server 50 can be connected to each other without hindering monitoring. The amount of transmission in between can be reduced. In addition, since the monitoring is distributed by the monitoring server 50, the processing load on the monitoring device 10 can be reduced. Thereby, it is not necessary to use expensive parts with high processing capacity, and cost increase can be suppressed.

  FIG. 4 is an explanatory diagram illustrating an example of a captured image parameter to be extracted when the monitoring device 10 according to the present embodiment acquires a notification of abnormality detection. In the example illustrated in FIG. 4, for example, a case where an abnormality is detected in the peripheral region B2 in the state illustrated in FIG. 3 will be described. As shown in FIG. 4, when an abnormality is detected in the peripheral area B2, the resolution of the captured image related to the peripheral area B2 is adjusted (increased) from 960 × 135 to 1920 × 270, and the frame rate is 1 per 10 minutes. The frame is adjusted to one frame per minute. In addition, FIG. 4 is an example and is not limited to the numerical values shown in FIG.

  As a result, the resolution of the peripheral area B2 where the abnormality is detected increases and the frame rate also increases, so that the abnormality around the road can be grasped in more detail. In the example of FIG. 4, both the resolution and the frame rate are adjusted, but only one of the resolution or the frame rate may be adjusted.

  Next, operation | movement of the monitoring apparatus 10 of this Embodiment is demonstrated. FIG. 5 is a flowchart illustrating an example of a processing procedure of the monitoring apparatus 10 according to the present embodiment. In the following, the processing subject will be described as the control unit 11 for convenience. The control unit 11 acquires image data (captured image) (S11), and cuts out an image (captured image) of the traffic area (S12). The control unit 11 determines whether or not it is the peripheral region cutting timing (for example, once every 5 minutes, once every 10 minutes, etc.) (S13).

  When it is the timing of cutting out the peripheral area (YES in S13), the control unit 11 cuts out the image (captured image) of the peripheral area (S14) and sends the image data (captured image) of the cut out peripheral area to the monitoring server 50. Transmit (send) (S15). When it is not the timing for cutting out the peripheral region (NO in S13), the control unit 11 performs a process in step S16 described later.

  The control unit 11 measures the traffic flow (for example, the number of vehicles passing through the vehicle for a predetermined time, the average speed, the average inter-vehicle distance, etc.) based on the captured image relating to the traffic volume region (S16). The control unit 11 determines whether or not there is an abnormality detection notification from the monitoring server 50 (S17), and when there is an abnormality detection notification (YES in S17), adjusts the resolution of the captured image related to the peripheral region ( For example, increase (S18), and adjust (fasten) the cutting-out timing (frame rate) of the peripheral area (S19).

  When there is no notification of abnormality detection (NO in S17), the control unit 11 performs a process of step S20 described later. The control unit 11 determines whether or not to end the process (S20). If the process is not ended (NO in S20), the process after step S11 is continued and the process is ended (YES in S20). Exit.

  In the above-described embodiment, when the image processing unit 16 is provided with a function for determining a traffic jam and the image processing unit 16 determines that a traffic jam has occurred, imaging of a traffic volume region in which the traffic jam has occurred. By reducing the resolution of the image from, for example, 3840 × 1080 to about 1920 × 540, the captured image with the reduced resolution is transmitted to the monitoring server 50, and the transmitted captured image is displayed on the display unit 55 of the monitoring server 50. The monitoring personnel can visually determine the traffic situation. In this case, a captured image with a reduced resolution may be transmitted at a frame rate of about once every 10 seconds and about once every 30 seconds, for example.

  The disclosed embodiments are to be considered in all respects as illustrative and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

DESCRIPTION OF SYMBOLS 10 Monitoring apparatus 11 Control part 12 Imaging part 13 Image extraction part 14 Communication part 15 Transmission part 16 Image processing part 50 Monitoring server 51 CPU
52 Communication Unit 53 Image Input Unit 54 Processing Unit 55 Display Unit 56 Operation Unit 57 Storage Unit

Claims (7)

A monitoring device that monitors a region including a road based on a captured image obtained by imaging with an imaging unit,
A specifying unit that specifies, on the captured image, a first area and a second area that differ depending on the frequency of monitoring;
An image processing unit that performs image processing for monitoring the captured image related to the first region specified by the specifying unit;
A monitoring apparatus comprising: a transmission unit that transmits a captured image related to the second region specified by the specifying unit to an external monitoring server. The specific part is:
Identifying the first region at a predetermined first period;
The monitoring apparatus according to claim 1, wherein the second region is specified with a second period longer than the first period. The specific part is:
Identifying the first area as a traffic volume area for measuring traffic volume;
The monitoring apparatus according to claim 1, wherein the second area is specified as a peripheral area for monitoring a road periphery. An adjustment unit that adjusts the resolution of the captured image related to the second region specified by the specifying unit;
The transmitter is
The monitoring apparatus according to any one of claims 1 to 3, wherein a captured image related to the second region, the resolution of which has been adjusted by the adjustment unit, is transmitted to the monitoring server. An acquisition unit for acquiring an abnormality detection notification from the monitoring server;
The adjustment unit is
When the notification is acquired by the acquisition unit, the resolution of the captured image related to the second region is increased.
The transmitter is
The monitoring apparatus according to claim 4, wherein a captured image related to the second region with increased resolution is transmitted to the monitoring server. A monitoring system comprising: a monitoring device that monitors a region including a road based on a captured image obtained by imaging with an imaging unit; and a monitoring server that communicates with the monitoring device,
The monitoring device
A specifying unit that specifies, on the captured image, a first area and a second area that differ depending on the frequency of monitoring;
An image processing unit that performs image processing for monitoring the captured image related to the first region specified by the specifying unit;
A transmission unit that transmits a captured image related to the second region specified by the specifying unit to the monitoring server;
The monitoring server is
A receiving unit that receives a captured image according to the second region;
A monitoring system comprising: a processing unit that performs predetermined processing on the captured image received by the receiving unit. A monitoring method for monitoring a region including a road on the basis of a captured image obtained by imaging with an imaging unit,
A step of specifying a first area and a second area, which differ according to the frequency of monitoring, on the captured image by the specifying unit;
A step in which the image processing unit performs image processing for monitoring the captured image relating to the identified first region;
A transmission unit transmitting a captured image relating to the identified second region to an external monitoring server.

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