CN110244923B - Image display method and device - Google Patents
Image display method and device Download PDFInfo
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- CN110244923B CN110244923B CN201811156545.6A CN201811156545A CN110244923B CN 110244923 B CN110244923 B CN 110244923B CN 201811156545 A CN201811156545 A CN 201811156545A CN 110244923 B CN110244923 B CN 110244923B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/698—Control of cameras or camera modules for achieving an enlarged field of view, e.g. panoramic image capture
Abstract
The invention discloses an image display method and device, wherein the method comprises the following steps: acquiring a second teacher panoramic image and a second student panoramic image of continuous frames; according to the continuous frame second teacher panoramic image, a first detection algorithm is adopted to determine whether a first result of a person exists in the platform area; determining whether a second result of a person exists in the platform area or not by adopting a second detection algorithm according to the continuous frame second student panoramic image; and when the first result and the second result are the platform area without people, displaying the currently acquired panoramic image of the first student, otherwise, displaying the currently acquired panoramic image of the first teacher. Because in the embodiment of the invention, the first result of the platform area is determined to be unmanned according to the continuous frame second teacher panoramic image, and the first student panoramic image is displayed at the moment when the second result of the platform area is determined to be unmanned according to the continuous frame second student panoramic image, otherwise, the first teacher panoramic image is displayed, so that the picture display is accurate.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to an image display method and apparatus.
Background
Currently, in a recorded broadcast scene, a plurality of cameras are generally arranged, and different cameras collect different scene pictures, for example, the collected pictures comprise a teacher panoramic picture, a student panoramic picture and the like. When the platform area is detected to be occupied, the picture displayed by the recording and broadcasting channel is a teacher panoramic picture generally, and when the platform area is detected to be unoccupied, the picture displayed by the recording and broadcasting channel is a student panoramic picture. Fig. 1 is a schematic diagram of a teacher panoramic image and a student panoramic image, wherein a teacher panoramic camera is installed on one side of a student area as shown in fig. 1, and the teacher panoramic camera acquires the teacher panoramic image; and a student panoramic camera is arranged on one side of the podium area, and acquires a student panoramic image. The teacher panoramic image comprises a podium area and a part of student areas, and the student panoramic image comprises a podium area and a student area.
In the prior art, whether a platform area is occupied or not is detected, whether a moving frame image exists or not is detected in continuous frame teacher panoramic images acquired in set time generally, if so, a picture displayed by a recording and broadcasting channel is a teacher panoramic picture, and if not, the picture displayed by the recording and broadcasting channel is switched into a student panoramic picture.
However, when a person does not move in the platform area for a long time or moves in a small range, the prior art scheme detects that no moving frame image exists, and then switches the picture displayed by the recording and playing channel into a student panoramic picture, so that the picture display is wrong, and the prior art has the problem of inaccurate picture display.
Disclosure of Invention
The embodiment of the invention provides an image display method and device, which are used for solving the problem of inaccurate picture display in the prior art.
The embodiment of the invention provides an image display method, which comprises the following steps:
acquiring a first preset number of continuous frame second teacher panoramic images including a first teacher panoramic image including a platform area, which is currently acquired by first image acquisition equipment;
acquiring a second student panoramic image of a second preset number of continuous frames including the first student panoramic image currently acquired by the second image acquisition device;
determining whether a first result of a person exists in the platform area or not by adopting a first detection algorithm according to the continuous frame second teacher panoramic image;
determining whether a second result of a person exists in the podium area or not by adopting a second detection algorithm according to the continuous frame second student panoramic image;
And displaying the first student panoramic image when the first result and the second result are that the platform area is unmanned, otherwise displaying the first teacher panoramic image.
Further, the first detection algorithm comprises a static class detection algorithm, and the second detection algorithm comprises a dynamic class detection algorithm; or the first detection algorithm comprises a dynamic class detection algorithm and the second detection algorithm comprises a static class detection algorithm.
Further, the static class detection algorithm includes at least one of:
a personnel recognition algorithm and a motion trail recognition algorithm;
the dynamic class detection algorithm comprises at least one of the following:
trip wire detection algorithms and area intrusion detection algorithms.
Further, if the first detection algorithm includes a static class detection algorithm, the determining, according to the continuous frame second teacher panoramic image, whether the platform area has a person or not using the first detection algorithm includes:
a personnel identification algorithm is adopted to determine the number of personnel in a platform area in a currently acquired first teacher panoramic image in the continuous frame second teacher panoramic image, and whether the number is 0 is judged; if yes, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or (b)
Determining whether a platform area in a currently acquired first teacher panoramic image in the continuous frame second teacher panoramic image has a motion track or not by adopting a motion track recognition algorithm according to the continuous frame second teacher panoramic image; if yes, determining that a first result of the platform area is a person; if not, determining that the first result of the platform area is unmanned.
Further, if the second detection algorithm includes a dynamic class detection algorithm, the determining, according to the continuous frame second student panoramic image, whether the platform area has a person or not using the second detection algorithm includes:
identifying personnel in a platform area in each frame of second student panoramic image, judging whether personnel cross a preset mixed line from the platform area by adopting a tripwire detection algorithm, and if so, determining that a second result of the platform area is unmanned; if not, determining that a second result of the platform area is a person; or (b)
Identifying personnel in a podium area in each frame of second student panoramic image, judging whether personnel enter a preset alarm area from the podium area by adopting an area intrusion detection algorithm, and if so, determining that a second result of the podium area is unmanned; if not, determining that the second result of the platform area is someone.
Further, if the first detection algorithm includes a dynamic class detection algorithm, the determining, according to the continuous frame second teacher panoramic image, whether the platform area has a person or not using the first detection algorithm includes:
identifying personnel in a platform area in each frame of the second teacher panoramic image, judging whether the personnel cross a preset mixed line from the platform area by adopting a tripwire detection algorithm, and if so, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or (b)
Identifying personnel in a podium area in each frame of the second teacher panoramic image, judging whether the personnel enter a preset alarm area from the podium area by adopting an area intrusion detection algorithm, and if so, determining that a first result of the podium area is unmanned; if not, determining that the first result of the platform area is someone.
Further, if the second detection algorithm includes a static class detection algorithm, the determining, according to the continuous frame second student panoramic image, whether the platform area has a person or not using the second detection algorithm includes:
a personnel identification algorithm is adopted to determine the number of personnel in a platform area in a first student panoramic image which is currently acquired in the second student panoramic image of the continuous frame, and whether the number is 0 is judged; if yes, determining that a second result of the platform area is unmanned; if not, determining that a second result of the platform area is a person; or (b)
Determining whether a platform area in a currently acquired first student panoramic image in the continuous frame second student panoramic image has a motion trail or not by adopting a motion trail identification algorithm according to the continuous frame second student panoramic image; if yes, determining that a second result of the platform area is a person; if not, determining that the second result of the platform area is unmanned.
In another aspect, an embodiment of the present invention provides an image display apparatus, including:
the acquisition module is used for acquiring a first preset number of continuous frame second teacher panoramic images including the first teacher panoramic image including the platform area currently acquired by the first image acquisition equipment;
the acquisition module is further used for acquiring a second student panoramic image with a second preset number of continuous frames including the first student panoramic image currently acquired by the second image acquisition device;
the determining module is used for determining whether the platform area has a first result of a person or not by adopting a first detection algorithm according to the continuous frame second teacher panoramic image;
the determining module is further configured to determine, according to the continuous frame second panoramic image of the student, whether the platform area has a second result of a person by adopting a second detection algorithm;
And the display module is used for displaying the first student panoramic image when the first result and the second result are the platform area is unmanned, and otherwise displaying the first teacher panoramic image.
Further, the first detection algorithm comprises a static class detection algorithm, and the second detection algorithm comprises a dynamic class detection algorithm; or the first detection algorithm comprises a dynamic class detection algorithm and the second detection algorithm comprises a static class detection algorithm.
Further, the static class detection algorithm includes at least one of:
a personnel recognition algorithm and a motion trail recognition algorithm;
the dynamic class detection algorithm comprises at least one of the following:
trip wire detection algorithms and area intrusion detection algorithms.
Further, the determining module is specifically configured to determine, if the first detection algorithm includes a static class detection algorithm, a number of people in a platform area in a currently acquired first teacher panoramic image in the second continuous frame teacher panoramic image by using a person identification algorithm, and determine whether the number is 0; if yes, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or determining whether a platform area in a currently acquired first teacher panoramic image in the continuous frame second teacher panoramic image has a motion track or not by adopting a motion track recognition algorithm according to the continuous frame second teacher panoramic image; if yes, determining that a first result of the platform area is a person; if not, determining that the first result of the platform area is unmanned.
Further, the determining module is specifically configured to identify a person in a podium area in each frame of the second panoramic image of the student if the second detection algorithm includes a dynamic class detection algorithm, and determine, by using a tripwire detection algorithm, whether the person passes over a preset line from the podium area, if so, determine that the second result of the podium area is unmanned; if not, determining that a second result of the platform area is a person; or identifying personnel in a podium area in each frame of second student panoramic image, judging whether personnel enter a preset alarm area from the podium area by adopting an area intrusion detection algorithm, and if so, determining that a second result of the podium area is unmanned; if not, determining that the second result of the platform area is someone.
Further, the determining module is specifically configured to identify a person in a podium area in each frame of the second teacher panoramic image if the first detection algorithm includes a dynamic class detection algorithm, determine, by using a tripwire detection algorithm, whether the person passes over a preset line from the podium area, and if so, determine that the first result of the podium area is unmanned; if not, determining that the first result of the platform area is a person; or identifying personnel in a platform area in each frame of the second teacher panoramic image, judging whether personnel enter a preset alarm area from the platform area by adopting an area intrusion detection algorithm, and if so, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is someone.
Further, the determining module is specifically configured to determine, if the second detection algorithm includes a static class detection algorithm, a number of persons in a platform area in a currently acquired first student panoramic image in the continuous frame second student panoramic image by using a person identification algorithm, and determine whether the number is 0; if yes, determining that a second result of the platform area is unmanned; if not, determining that a second result of the platform area is a person; or determining whether a platform area in a first student panoramic image currently acquired in the continuous frame second student panoramic image has a motion track or not by adopting a motion track recognition algorithm according to the continuous frame second student panoramic image; if yes, determining that a second result of the platform area is a person; if not, determining that the second result of the platform area is unmanned.
The embodiment of the invention provides an image display method and device, wherein the method comprises the following steps: acquiring a first preset number of continuous frame second teacher panoramic images including a first teacher panoramic image including a platform area, which is currently acquired by first image acquisition equipment; acquiring a second student panoramic image of a second preset number of continuous frames including the first student panoramic image currently acquired by the second image acquisition device; determining whether a first result of a person exists in the platform area or not by adopting a first detection algorithm according to the continuous frame second teacher panoramic image; determining whether a second result of a person exists in the podium area or not by adopting a second detection algorithm according to the continuous frame second student panoramic image; and displaying the first student panoramic image when the first result and the second result are that the platform area is unmanned, otherwise displaying the first teacher panoramic image.
In the embodiment of the invention, the first detection algorithm is adopted to determine that the first result of the platform area is unmanned according to the continuous frame second teacher panoramic image, and the second detection algorithm is adopted to determine that the platform area is unmanned when the second result of the platform area is unmanned according to the continuous frame second student panoramic image, and the first student panoramic image is displayed at the moment, otherwise, the platform area is determined to be occupied, and the first teacher panoramic image is displayed, so that the picture display is accurate.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic view of a teacher panoramic image and a student panoramic image of the prior art;
fig. 2 is a schematic diagram of an image display process according to embodiment 1 of the present invention;
FIG. 3 is a schematic diagram of a second result determined using a tripwire detection algorithm according to embodiment 2 of the present invention;
Fig. 4 is a schematic diagram of determining a second result by using a regional intrusion detection algorithm according to embodiment 2 of the present invention;
fig. 5 is a schematic structural diagram of an image display device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail below with reference to the attached drawings, wherein it is apparent that the embodiments described are only some, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
fig. 2 is a schematic diagram of an image display process according to an embodiment of the present invention, where the process includes the following steps:
s201: and acquiring a first preset number of continuous frame second teacher panoramic images including the first teacher panoramic image including the platform area currently acquired by the first image acquisition equipment.
S202: and acquiring a second panoramic image of the second student, which comprises a second preset number of continuous frames of the first panoramic image of the first student currently acquired by the second image acquisition device.
S203: and determining whether the platform area has a first result of a person or not by adopting a first detection algorithm according to the continuous frame second teacher panoramic image.
S204: and determining whether a second result of the person exists in the podium area by adopting a second detection algorithm according to the continuous frame second student panoramic image.
S205: and displaying the first student panoramic image when the first result and the second result are that the platform area is unmanned, otherwise displaying the first teacher panoramic image.
The image display method provided by the embodiment of the invention is applied to electronic equipment, and the electronic equipment can be PC, tablet personal computer and other equipment.
It should be noted that, there is no sequence between S201 and S202, and there is no sequence between S203 and S204.
In a recorded broadcast scene, a first image acquisition device is arranged on one side of a student area, and the first image acquisition device can acquire a teacher panoramic image in real time; and a second image acquisition device is arranged on one side of the platform area, and can acquire the panoramic image of the student in real time. The teacher panoramic image comprises a podium area and a part of student areas, and the student panoramic image comprises a podium area and a student area.
The first image acquisition device can send the teacher panoramic image acquired in real time to the electronic device, in the embodiment of the invention, the teacher panoramic image currently acquired by the first image acquisition device is used as a first teacher panoramic image, and a first preset number of continuous frame teacher panoramic images acquired by the electronic device are used as second teacher panoramic images.
The second image acquisition device may send the student panoramic image acquired in real time to the electronic device, and in the embodiment of the present invention, the current student panoramic image acquired by the second image acquisition device is used as the first student panoramic image, and the second continuous frames of student panoramic images with a second preset number acquired by the electronic device are used as the second student panoramic image.
Wherein the first preset number may be 2 or 3, etc., and the second preset number is the same as or different from the first preset number.
After the electronic device acquires the continuous frame second teacher panoramic image, the platform area in each frame of the second teacher panoramic image can be identified, and a first detection algorithm is adopted to determine whether the platform area in the first teacher panoramic image has a first result of a person. Specifically, the electronic device may identify the platform area in the panoramic image of the second teacher by a template matching method or the like. The process of identifying the platform area in the second teacher panoramic image belongs to the prior art, and the above process is not repeated here.
After the electronic equipment acquires the continuous frames of second student panoramic images, a platform area in each frame of second teacher panoramic image can be identified, a second detection algorithm is adopted, whether a person walks out of the platform area can be judged, if yes, a second result of the platform area is determined to be unmanned, and otherwise, the second result of the platform area is determined to be manned. The first detection algorithm is different from the second detection algorithm, for example, the first detection algorithm is a static type detection algorithm, and the second detection algorithm is a dynamic type detection algorithm; or the first detection algorithm is a dynamic class detection algorithm, and the second detection algorithm is a static class detection algorithm
And the electronic equipment determines whether to display the first student panoramic image or the first teacher panoramic image according to the first result and the second result after determining the first result and the second result. Specifically, when the first result and the second result are the platform area without people, the platform area in the first teacher panoramic image is determined to be unmanned, the first student panoramic image is displayed at the moment, and when any result is the platform area with people, the first teacher panoramic image is displayed.
In the embodiment of the invention, the first detection algorithm is adopted to determine that the first result of the platform area is unmanned according to the continuous frame second teacher panoramic image, and the second detection algorithm is adopted to determine that the platform area is unmanned when the second result of the platform area is unmanned according to the continuous frame second student panoramic image, and the first student panoramic image is displayed at the moment, otherwise, the platform area is determined to be occupied, and the first teacher panoramic image is displayed, so that the picture display is accurate.
Example 2:
on the basis of the above embodiment, in the embodiment of the present invention, the first detection algorithm includes a static class detection algorithm, and the second detection algorithm includes a dynamic class detection algorithm; or the first detection algorithm comprises a dynamic class detection algorithm and the second detection algorithm comprises a static class detection algorithm.
The static class detection algorithm comprises at least one of the following:
a personnel recognition algorithm and a motion trail recognition algorithm;
the dynamic class detection algorithm comprises at least one of the following:
trip wire detection algorithms and area intrusion detection algorithms.
In order to make the first result of the determination more accurate, if the first detection algorithm includes a static class detection algorithm, the determining, by using the first detection algorithm, whether the platform area has a person according to the second teacher panoramic image of the continuous frame includes:
a personnel identification algorithm is adopted to determine the number of personnel in a platform area in a currently acquired first teacher panoramic image in the continuous frame second teacher panoramic image, and whether the number is 0 is judged; if yes, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or (b)
Determining whether a platform area in a currently acquired first teacher panoramic image in the continuous frame second teacher panoramic image has a motion track or not by adopting a motion track recognition algorithm according to the continuous frame second teacher panoramic image; if yes, determining that a first result of the platform area is a person; if not, determining that the first result of the platform area is unmanned.
In an embodiment of the present invention, the following three ways of determining the first result are included:
first kind:
the personnel identification algorithm in the embodiment of the invention can be a template matching algorithm, a face recognition algorithm and the like, and personnel in a platform area in the panoramic image of the first teacher can be identified based on the personnel identification algorithm, and the number of the personnel is determined. When the number of people in the platform area is 0, determining that the first result of the platform area is unmanned, otherwise, determining that the first result of the platform area is manned.
Second kind:
the electronic device can identify the personnel position information in the platform area in each frame of the second teacher panoramic image, and can determine the movement track information of the personnel in the platform area according to the personnel position information and the movement track identification algorithm in the platform area in each frame of the second teacher panoramic image, if the personnel move in the platform area in the continuous frame of the second teacher panoramic image, the movement track identification algorithm is based on the movement track identification algorithm, the platform area in the first teacher panoramic image is determined to have a movement track, and at the moment, the first result of the platform area is determined to be the personnel. And if no personnel move in the platform area in the second teacher panoramic image with continuous frames, determining that the platform area in the first teacher panoramic image does not have a motion track based on a motion track recognition algorithm, and determining that the first result of the platform area is unmanned.
Third kind:
in combination with the first and second embodiments described above, the first result is determined synthetically.
Specifically, a person recognition algorithm and a motion trail recognition algorithm are adopted at the same time to respectively determine a first result, when the first result determined by the person recognition algorithm is unmanned, and when the first result determined by the motion trail recognition algorithm is also unmanned, the first result is determined to be unmanned at the moment. Otherwise, the first result is determined to be someone.
Example 3:
based on the foregoing embodiments, in an embodiment of the present invention, if the second detection algorithm includes a dynamic class detection algorithm, the determining, by using the second detection algorithm, whether the platform area has a person according to the second panoramic image of the second student of the continuous frame includes:
identifying personnel in a platform area in each frame of second student panoramic image, judging whether personnel cross a preset mixed line from the platform area by adopting a tripwire detection algorithm, and if so, determining that a second result of the platform area is unmanned; if not, determining that a second result of the platform area is a person; or (b)
Identifying personnel in a podium area in each frame of second student panoramic image, judging whether personnel enter a preset alarm area from the podium area by adopting an area intrusion detection algorithm, and if so, determining that a second result of the podium area is unmanned; if not, determining that the second result of the platform area is someone.
For each frame of the second student panoramic image, the electronic device may identify a person in the podium area in the frame of the second student panoramic image. The process of identifying the person in the platform area in the second student panoramic image is the same as the process of identifying the person in the platform area in the second teacher panoramic image, and the description of the process is omitted here. For the acquired second student panoramic image, after identifying the person in the podium area in each frame of the second student panoramic image, a dynamic class detection algorithm can be adopted to judge whether the person walks out of the podium area in the second student panoramic image. And if the judgment result is yes, determining that the second result is unmanned. Otherwise, determining the second result as being someone.
In an embodiment of the present invention, the following three ways of determining the second result are included:
first kind:
the second result is determined by using a tripwire detection algorithm, fig. 3 is a schematic diagram of determining the second result by using the tripwire detection algorithm, and as shown in fig. 3, three tripwires are arranged on the outer side of the platform region, and for each frame of the second student panoramic image, the electronic device can identify whether a person in the platform region in the frame of the second student panoramic image passes over the tripwire by using the tripwire detection algorithm. If a person is identified to cross a tripwire, an alarm is triggered. Triggering an alarm, namely indicating that the person walks out of a podium area in the panoramic image of the second student, determining the second result as unmanned at the moment, and otherwise, determining the second result as someone.
Second kind:
the second result is determined by using the area intrusion detection algorithm, fig. 4 is a schematic diagram of determining the second result by using the area intrusion detection algorithm, and as shown in fig. 4, a preset alarm area is set at the periphery of the podium area, and for each frame of second student panoramic image, the electronic device can identify whether a person in the podium area in the frame of second student panoramic image enters the alarm area from the podium area by using the area intrusion detection algorithm. And triggering an alarm if the personnel are identified to enter the alarm area from the platform area. Triggering an alarm, namely indicating that the person walks out of a podium area in the panoramic image of the second student, determining the second result as unmanned at the moment, and otherwise, determining the second result as someone.
Third kind:
in combination with the first and second embodiments described above, the second result is determined synthetically.
Specifically, a tripwire detection algorithm and a region intrusion detection algorithm are adopted at the same time, second results are respectively determined, when the second results determined by the tripwire detection algorithm are unmanned, and when the second results determined by the region intrusion detection algorithm are unmanned, the second results are determined to be unmanned at the moment. Otherwise, determining the second result as being someone.
The process of judging whether the personnel walk out of the platform area by adopting the tripwire detection algorithm and the area intrusion detection algorithm belongs to the prior art, and the process is not repeated here.
Example 4:
on the basis of the foregoing embodiment, in an embodiment of the present invention, if the first detection algorithm includes a dynamic class detection algorithm, the determining, by using the first detection algorithm, whether the platform area has a first result of a person according to the continuous frame second teacher panoramic image includes:
identifying personnel in a platform area in each frame of the second teacher panoramic image, judging whether the personnel cross a preset mixed line from the platform area by adopting a tripwire detection algorithm, and if so, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or (b)
Identifying personnel in a podium area in each frame of the second teacher panoramic image, judging whether the personnel enter a preset alarm area from the podium area by adopting an area intrusion detection algorithm, and if so, determining that a first result of the podium area is unmanned; if not, determining that the first result of the platform area is someone.
First kind:
And determining a second result by adopting a tripwire detection algorithm, wherein the electronic equipment can identify whether a person in a platform area in the second teacher panoramic image passes over the tripwire or not by adopting the tripwire detection algorithm aiming at the second teacher panoramic image of each frame. If a person is identified to cross a tripwire, an alarm is triggered. Triggering an alarm, namely indicating that the person walks out of the platform area in the panoramic image of the second teacher, determining the first result as unmanned at the moment, and otherwise, determining the first result as someone.
Second kind:
and determining a second result by adopting an area intrusion detection algorithm, wherein the electronic equipment can identify whether personnel in a platform area in each frame of second teacher panoramic image enter an alarm area from the platform area by utilizing the area intrusion detection algorithm aiming at each frame of second teacher panoramic image. And triggering an alarm if the personnel are identified to enter the alarm area from the platform area. Triggering an alarm, namely indicating that a person walks out of a platform area in the panoramic image of the second teacher, determining that the first result is unmanned at the moment, and otherwise, determining that the first result is someone.
Third kind:
in combination with the first and second embodiments described above, the first result is determined synthetically.
Specifically, a tripwire detection algorithm and a region intrusion detection algorithm are adopted at the same time to respectively determine a first result, when the first result determined by the tripwire detection algorithm is unmanned, and when the first result determined by the region intrusion detection algorithm is unmanned, the first result is determined to be unmanned at the moment. Otherwise, the first result is determined to be someone.
Example 5:
based on the foregoing embodiments, in an embodiment of the present invention, if the second detection algorithm includes a static class detection algorithm, the determining, by using the second detection algorithm, whether the platform area has a person according to the second panoramic image of the second student of the continuous frame includes:
a personnel identification algorithm is adopted to determine the number of personnel in a platform area in a first student panoramic image which is currently acquired in the second student panoramic image of the continuous frame, and whether the number is 0 is judged; if yes, determining that a second result of the platform area is unmanned; if not, determining that a second result of the platform area is a person; or (b)
Determining whether a platform area in a currently acquired first student panoramic image in the continuous frame second student panoramic image has a motion trail or not by adopting a motion trail identification algorithm according to the continuous frame second student panoramic image; if yes, determining that a second result of the platform area is a person; if not, determining that the second result of the platform area is unmanned.
In an embodiment of the present invention, the following three ways of determining the second result are included:
first kind:
The personnel identification algorithm in the embodiment of the invention can be a template matching algorithm, a face recognition algorithm and the like, and can identify personnel in a platform area in the panoramic image of the first student based on the personnel identification algorithm and determine the number of the personnel. And when the number of people in the platform area is 0, determining that the second result of the platform area is unmanned, otherwise, determining that the second result of the platform area is manned.
Second kind:
the electronic device can identify the personnel position information in the podium area in each frame of the second student panoramic image, and can determine the movement track information of the personnel in the podium area according to the personnel position information and the movement track identification algorithm in the podium area in each frame of the second student panoramic image, if the personnel move in the podium area in the continuous frame of the second student panoramic image, the movement track identification algorithm is based on the movement track identification algorithm, the fact that the podium area in the first student panoramic image has the movement track is determined, and at the moment, the second result of the podium area is determined to be the personnel. And if no personnel move in the podium area in the second student panoramic image with continuous frames, determining that the podium area in the first student panoramic image does not have a motion track based on a motion track recognition algorithm, and determining that a second result of the podium area is unmanned.
Third kind:
in combination with the first and second embodiments described above, the second result is determined synthetically.
Specifically, a person recognition algorithm and a motion trail recognition algorithm are adopted at the same time to respectively determine second results, when the second results determined by the person recognition algorithm are unmanned, and when the second results determined by the motion trail recognition algorithm are also unmanned, the second results are determined to be unmanned at the moment. Otherwise, determining the second result as being someone.
Fig. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present invention, where the apparatus includes:
an acquiring module 51, configured to acquire a first preset number of consecutive frame second teacher panoramic images including a first teacher panoramic image including a platform area currently acquired by a first image acquisition device;
the acquiring module 51 is further configured to acquire a second preset number of continuous frames of second panoramic images of the student, including the first panoramic image of the student currently acquired by the second image acquisition device;
a determining module 52, configured to determine, according to the continuous frame second teacher panoramic image, whether the platform area has a first result of a person by using a first detection algorithm;
the determining module 52 is further configured to determine, according to the continuous frame second panoramic image of the student, whether the platform area has a second result of a person by using a second detection algorithm;
And a display module 53, configured to display the first student panoramic image when the first result and the second result are both that the platform area is unmanned, and otherwise display the first teacher panoramic image.
The first detection algorithm comprises a static class detection algorithm, and the second detection algorithm comprises a dynamic class detection algorithm; or the first detection algorithm comprises a dynamic class detection algorithm and the second detection algorithm comprises a static class detection algorithm.
The static class detection algorithm comprises at least one of the following:
a personnel recognition algorithm and a motion trail recognition algorithm;
the dynamic class detection algorithm comprises at least one of the following:
trip wire detection algorithms and area intrusion detection algorithms.
The determining module 52 is specifically configured to determine, if the first detection algorithm includes a static class detection algorithm, a number of people in a platform area in a currently acquired first teacher panoramic image in the second teacher panoramic image with continuous frames by using a person identification algorithm, and determine whether the number is 0; if yes, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or determining whether a platform area in a currently acquired first teacher panoramic image in the continuous frame second teacher panoramic image has a motion track or not by adopting a motion track recognition algorithm according to the continuous frame second teacher panoramic image; if yes, determining that a first result of the platform area is a person; if not, determining that the first result of the platform area is unmanned.
The determining module 52 is specifically configured to identify a person in a podium area in each frame of the second student panoramic image if the second detection algorithm includes a dynamic class detection algorithm, determine whether a person passes over a preset mixing line from the podium area by adopting a tripwire detection algorithm, and if so, determine that the second result of the podium area is unmanned; if not, determining that a second result of the platform area is a person; or identifying personnel in a podium area in each frame of second student panoramic image, judging whether personnel enter a preset alarm area from the podium area by adopting an area intrusion detection algorithm, and if so, determining that a second result of the podium area is unmanned; if not, determining that the second result of the platform area is someone.
The determining module 52 is specifically configured to identify a person in a platform area in each frame of the second teacher panoramic image if the first detection algorithm includes a dynamic class detection algorithm, determine whether a person passes over a preset mixing line from the platform area by adopting a tripwire detection algorithm, and if so, determine that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or identifying personnel in a platform area in each frame of the second teacher panoramic image, judging whether personnel enter a preset alarm area from the platform area by adopting an area intrusion detection algorithm, and if so, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is someone.
The determining module 52 is specifically configured to determine, if the second detection algorithm includes a static class detection algorithm, a number of persons in a platform area in a currently acquired first student panoramic image in the second student panoramic image of the continuous frame by using a person identification algorithm, and determine whether the number is 0; if yes, determining that a second result of the platform area is unmanned; if not, determining that a second result of the platform area is a person; or determining whether a platform area in a first student panoramic image currently acquired in the continuous frame second student panoramic image has a motion track or not by adopting a motion track recognition algorithm according to the continuous frame second student panoramic image; if yes, determining that a second result of the platform area is a person; if not, determining that the second result of the platform area is unmanned.
The embodiment of the invention provides an image display method and device, wherein the method comprises the following steps: acquiring a first preset number of continuous frame second teacher panoramic images including a first teacher panoramic image including a platform area, which is currently acquired by first image acquisition equipment; acquiring a second student panoramic image of a second preset number of continuous frames including the first student panoramic image currently acquired by the second image acquisition device; determining whether a first result of a person exists in the platform area or not by adopting a first detection algorithm according to the continuous frame second teacher panoramic image; determining whether a second result of a person exists in the podium area or not by adopting a second detection algorithm according to the continuous frame second student panoramic image; and displaying the first student panoramic image when the first result and the second result are that the platform area is unmanned, otherwise displaying the first teacher panoramic image.
In the embodiment of the invention, the first detection algorithm is adopted to determine that the first result of the platform area is unmanned according to the continuous frame second teacher panoramic image, and the second detection algorithm is adopted to determine that the platform area is unmanned when the second result of the platform area is unmanned according to the continuous frame second student panoramic image, and the first student panoramic image is displayed at the moment, otherwise, the platform area is determined to be occupied, and the first teacher panoramic image is displayed, so that the picture display is accurate.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (12)
1. An image display method, the method comprising:
acquiring a first preset number of continuous frame second teacher panoramic images including a first teacher panoramic image including a platform area, which is currently acquired by first image acquisition equipment;
acquiring a second student panoramic image of a second preset number of continuous frames including the first student panoramic image currently acquired by the second image acquisition device; the student panoramic image comprises a podium area and a student area;
determining whether a first result of a person exists in the platform area or not by adopting a first detection algorithm according to the continuous frame second teacher panoramic image;
determining whether a second result of a person exists in the podium area or not by adopting a second detection algorithm according to the continuous frame second student panoramic image; wherein the first detection algorithm comprises a static class detection algorithm and the second detection algorithm comprises a dynamic class detection algorithm; or the first detection algorithm comprises a dynamic class detection algorithm, and the second detection algorithm comprises a static class detection algorithm;
And displaying the first student panoramic image when the first result and the second result are that the platform area is unmanned, otherwise displaying the first teacher panoramic image.
2. The method of claim 1, wherein the static class detection algorithm comprises at least one of:
a personnel recognition algorithm and a motion trail recognition algorithm;
the dynamic class detection algorithm comprises at least one of the following:
trip wire detection algorithms and area intrusion detection algorithms.
3. The method of claim 2, wherein if the first detection algorithm comprises a static class detection algorithm, the determining whether the podium area has a first result of a person using the first detection algorithm based on the continuous frame second teacher panoramic image comprises:
a personnel identification algorithm is adopted to determine the number of personnel in a platform area in a currently acquired first teacher panoramic image in the continuous frame second teacher panoramic image, and whether the number is 0 is judged; if yes, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or (b)
Determining whether a platform area in a currently acquired first teacher panoramic image in the continuous frame second teacher panoramic image has a motion track or not by adopting a motion track recognition algorithm according to the continuous frame second teacher panoramic image; if yes, determining that a first result of the platform area is a person; if not, determining that the first result of the platform area is unmanned.
4. The method of claim 2, wherein if the second detection algorithm comprises a dynamic class detection algorithm, the determining whether the podium area has a second result of a person using a second detection algorithm based on the continuous frame second student panoramic image comprises:
identifying personnel in a platform area in each frame of second student panoramic image, judging whether personnel cross a preset mixed line from the platform area by adopting a tripwire detection algorithm, and if so, determining that a second result of the platform area is unmanned; if not, determining that a second result of the platform area is a person; or (b)
Identifying personnel in a podium area in each frame of second student panoramic image, judging whether personnel enter a preset alarm area from the podium area by adopting an area intrusion detection algorithm, and if so, determining that a second result of the podium area is unmanned; if not, determining that the second result of the platform area is someone.
5. The method of claim 2, wherein if the first detection algorithm comprises a dynamic class detection algorithm, the determining whether the podium area has a first result of a person using the first detection algorithm based on the continuous frame second teacher panoramic image comprises:
Identifying personnel in a platform area in each frame of the second teacher panoramic image, judging whether the personnel cross a preset mixed line from the platform area by adopting a tripwire detection algorithm, and if so, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or (b)
Identifying personnel in a podium area in each frame of the second teacher panoramic image, judging whether the personnel enter a preset alarm area from the podium area by adopting an area intrusion detection algorithm, and if so, determining that a first result of the podium area is unmanned; if not, determining that the first result of the platform area is someone.
6. The method of claim 2, wherein if the second detection algorithm comprises a static class detection algorithm, the determining whether the podium area has a second result of a person using a second detection algorithm based on the continuous frame second student panoramic image comprises:
a personnel identification algorithm is adopted to determine the number of personnel in a platform area in a first student panoramic image which is currently acquired in the second student panoramic image of the continuous frame, and whether the number is 0 is judged; if yes, determining that a second result of the platform area is unmanned; if not, determining that a second result of the platform area is a person; or (b)
Determining whether a platform area in a currently acquired first student panoramic image in the continuous frame second student panoramic image has a motion trail or not by adopting a motion trail identification algorithm according to the continuous frame second student panoramic image; if yes, determining that a second result of the platform area is a person; if not, determining that the second result of the platform area is unmanned.
7. An image display device, the device comprising:
the acquisition module is used for acquiring a first preset number of continuous frame second teacher panoramic images including the first teacher panoramic image including the platform area currently acquired by the first image acquisition equipment;
the acquisition module is further used for acquiring a second student panoramic image with a second preset number of continuous frames including the first student panoramic image currently acquired by the second image acquisition device; the student panoramic image comprises a podium area and a student area;
the determining module is used for determining whether the platform area has a first result of a person or not by adopting a first detection algorithm according to the continuous frame second teacher panoramic image;
the determining module is further configured to determine, according to the continuous frame second panoramic image of the student, whether the platform area has a second result of a person by adopting a second detection algorithm; wherein the first detection algorithm comprises a static class detection algorithm and the second detection algorithm comprises a dynamic class detection algorithm; or the first detection algorithm comprises a dynamic class detection algorithm, and the second detection algorithm comprises a static class detection algorithm;
And the display module is used for displaying the first student panoramic image when the first result and the second result are the platform area is unmanned, and otherwise displaying the first teacher panoramic image.
8. The apparatus of claim 7, wherein the static class detection algorithm comprises at least one of:
a personnel recognition algorithm and a motion trail recognition algorithm;
the dynamic class detection algorithm comprises at least one of the following:
trip wire detection algorithms and area intrusion detection algorithms.
9. The apparatus of claim 8, wherein the determining module is specifically configured to determine, if the first detection algorithm includes a static class detection algorithm, a number of people in a podium area in a currently acquired first teacher panoramic image in the second teacher panoramic image of the continuous frame using a person identification algorithm, and determine whether the number is 0; if yes, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is a person; or determining whether a platform area in a currently acquired first teacher panoramic image in the continuous frame second teacher panoramic image has a motion track or not by adopting a motion track recognition algorithm according to the continuous frame second teacher panoramic image; if yes, determining that a first result of the platform area is a person; if not, determining that the first result of the platform area is unmanned.
10. The apparatus of claim 8, wherein the determination module is specifically configured to identify a person in a podium area in each frame of the second student panoramic image if the second detection algorithm includes a dynamic class detection algorithm, determine whether a person crosses a preset blending line from the podium area using a tripwire detection algorithm, and if so, determine that the second result of the podium area is unmanned; if not, determining that a second result of the platform area is a person; or identifying personnel in a podium area in each frame of second student panoramic image, judging whether personnel enter a preset alarm area from the podium area by adopting an area intrusion detection algorithm, and if so, determining that a second result of the podium area is unmanned; if not, determining that the second result of the platform area is someone.
11. The apparatus of claim 8, wherein the determination module is specifically configured to identify a person in a podium area in each frame of the second teacher panoramic image if the first detection algorithm includes a dynamic class detection algorithm, determine whether a person crosses a preset blending line from the podium area using a tripwire detection algorithm, and if so, determine that the first result of the podium area is unmanned; if not, determining that the first result of the platform area is a person; or identifying personnel in a platform area in each frame of the second teacher panoramic image, judging whether personnel enter a preset alarm area from the platform area by adopting an area intrusion detection algorithm, and if so, determining that a first result of the platform area is unmanned; if not, determining that the first result of the platform area is someone.
12. The apparatus of claim 8, wherein the determining module is specifically configured to determine, if the second detection algorithm includes a static class detection algorithm, a number of people in a podium area in a currently acquired first student panoramic image in the second student panoramic image of the continuous frame using a person identification algorithm, and determine whether the number is 0; if yes, determining that a second result of the platform area is unmanned;
if not, determining that a second result of the platform area is a person; or determining whether a platform area in a first student panoramic image currently acquired in the continuous frame second student panoramic image has a motion track or not by adopting a motion track recognition algorithm according to the continuous frame second student panoramic image; if yes, determining that a second result of the platform area is a person; if not, determining that the second result of the platform area is unmanned.
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| CN112001944A (en) * | 2020-07-09 | 2020-11-27 | 浙江大华技术股份有限公司 | Classroom teaching quality evaluation data acquisition method, computer equipment and medium |
| CN113743268A (en) * | 2021-08-25 | 2021-12-03 | 浙江大华技术股份有限公司 | Method, device, equipment and medium for detecting character behaviors |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204669511U (en) * | 2015-05-04 | 2015-09-23 | 广州盈可视电子科技有限公司 | A kind of automatic recorded broadcast tracking system of integration |
| CN105049764A (en) * | 2015-06-17 | 2015-11-11 | 武汉智亿方科技有限公司 | Image tracking method and system for teaching based on multiple positioning cameras |
| CN205179215U (en) * | 2015-09-22 | 2016-04-20 | 杭州海康威视系统技术有限公司 | Teaching recording and broadcasting system |
| CN106657893A (en) * | 2016-11-10 | 2017-05-10 | 浙江蓝鸽科技有限公司 | Recorded broadcasting method and system with intelligent switching function |
| CN106791485A (en) * | 2016-11-16 | 2017-05-31 | 深圳市异度信息产业有限公司 | The changing method and device of video |
| CN108022205A (en) * | 2016-11-04 | 2018-05-11 | 杭州海康威视数字技术股份有限公司 | Method for tracking target, device and recording and broadcasting system |
| CN108513081A (en) * | 2017-02-27 | 2018-09-07 | 杭州海康威视数字技术股份有限公司 | A kind of recorded broadcast method, apparatus and system for classroom instruction |
-
2018
- 2018-09-30 CN CN201811156545.6A patent/CN110244923B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204669511U (en) * | 2015-05-04 | 2015-09-23 | 广州盈可视电子科技有限公司 | A kind of automatic recorded broadcast tracking system of integration |
| CN105049764A (en) * | 2015-06-17 | 2015-11-11 | 武汉智亿方科技有限公司 | Image tracking method and system for teaching based on multiple positioning cameras |
| CN205179215U (en) * | 2015-09-22 | 2016-04-20 | 杭州海康威视系统技术有限公司 | Teaching recording and broadcasting system |
| CN108022205A (en) * | 2016-11-04 | 2018-05-11 | 杭州海康威视数字技术股份有限公司 | Method for tracking target, device and recording and broadcasting system |
| CN106657893A (en) * | 2016-11-10 | 2017-05-10 | 浙江蓝鸽科技有限公司 | Recorded broadcasting method and system with intelligent switching function |
| CN106791485A (en) * | 2016-11-16 | 2017-05-31 | 深圳市异度信息产业有限公司 | The changing method and device of video |
| CN108513081A (en) * | 2017-02-27 | 2018-09-07 | 杭州海康威视数字技术股份有限公司 | A kind of recorded broadcast method, apparatus and system for classroom instruction |
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