CN112055168A - Video monitoring method and system and monitoring server - Google Patents

Video monitoring method and system and monitoring server Download PDF

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Publication number
CN112055168A
CN112055168A CN201910484963.6A CN201910484963A CN112055168A CN 112055168 A CN112055168 A CN 112055168A CN 201910484963 A CN201910484963 A CN 201910484963A CN 112055168 A CN112055168 A CN 112055168A
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human
face
current image
image
shape
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CN112055168B (en
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涂小军
杨卫波
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Hangzhou Ezviz Software Co Ltd
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Hangzhou Ezviz Software Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/53Recognition of crowd images, e.g. recognition of crowd congestion

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

The embodiment of the invention provides a video monitoring method, a video monitoring system and a monitoring server. The method comprises the following steps: the monitoring server receives a real-time image acquired by the remote camera module; the monitoring server inquires whether a human figure or a human face exists in the current image, and if the human figure or the human face exists, the human figure or the human face in the current image is amplified according to the position of the human figure or the human face in the current image; and the monitoring server sends the image containing the amplified human figure or human face to a local display terminal for display. The embodiment of the invention realizes the highlighting of the people in the monitoring scene.

Description

Video monitoring method and system and monitoring server
Technical Field
The invention relates to the technical field of scene monitoring, in particular to a video monitoring method, a video monitoring system and a monitoring server.
Background
The webcam is a new generation of webcam produced by combining traditional webcams and web technologies, and can transmit images to the other end of the earth through the web, and a remote browser can monitor the images without any specialized software, as long as the standard web browser (such as Microsoft IE or Netscape) is used.
Motion Detection (MDT), also commonly called Motion Detection, is commonly used for unattended surveillance video and automatic alarms. The CPU calculates and compares the images acquired by the camera according to different frame rates according to a certain algorithm, and if the images change, the method comprises the following steps: when someone walks over and the lens is moved, the calculation comparison result exceeds the threshold value, and the system is instructed to perform corresponding processing.
In the field of security protection, in order to observe moving objects in a monitored scene more clearly, when the moving objects are detected, the moving objects are locally displayed in an enlarged manner.
Disclosure of Invention
The embodiment of the invention provides a video monitoring method, a video monitoring system and a monitoring server, so as to realize the highlight display of people in a monitoring scene.
The technical scheme of the embodiment of the invention is realized as follows:
a method of video surveillance, the method comprising:
the monitoring server receives a real-time image acquired by the remote camera module;
the monitoring server inquires whether a human figure or a human face exists in the current image, and if the human figure or the human face exists, the human figure or the human face in the current image is amplified according to the position of the human figure or the human face in the current image;
and the monitoring server sends the image containing the amplified human figure or human face to a local display terminal for display.
The step of inquiring whether the human shape or the human face exists in the current image by the monitoring server comprises the following steps:
the monitoring server judges whether the far-end camera module sends information indicating that the human shape or the human face exists in the current image or not, if so, the human shape or the human face exists in the current image, wherein the information indicating that the human shape or the human face exists in the current image comprises position information of the human shape or the human face in the current image;
or comprises the following steps: and the monitoring server detects the human shape or the human face of the current image, determines that the human shape or the human face exists in the current image if the human shape or the human face is detected, and records the position information of the human shape or the human face in the current image.
When the monitoring server inquires that a plurality of human figures or human faces exist in the current image,
the process of amplifying the human figure or the human face in the current image comprises the following steps:
copying the current image for a corresponding number of times according to the number of human figures or human faces existing in the current image;
and respectively selecting a copied image for each human shape or face existing in the current image, and amplifying the human shape or face in the selected image according to the position information of the human shape or face in the selected image.
Before the monitoring server sends the image containing the amplified human figure or human face to a local display terminal for displaying, the method further comprises the following steps:
the monitoring server sends a current image without any human shape or human face amplification to a local display terminal for display;
and, the monitoring server sends the image containing the amplified human figure or human face to a local display terminal for display, including:
when detecting that any human figure or face on the current image has an access request, sending an amplified human figure or face image containing the human figure or face to a local display terminal for displaying;
or when detecting that any human figure or human face on the current image has an access request, sending the floating window image of the amplified human figure or human face containing the human figure or human face to a local display terminal for displaying, and when detecting that the floating window image has the access request, converting the floating window image into a main window image for displaying on the local display terminal.
A monitoring server, comprising:
the receiving module is used for receiving the real-time image acquired by the far-end camera module;
and the processor is used for inquiring whether the human shape or the human face exists in the current image received by the receiving module, if so, amplifying the human shape or the human face in the current image according to the position of the human shape or the human face in the current image, and sending the image containing the amplified human shape or the human face to the local display terminal for displaying.
The processor queries whether a human figure or a human face is present in the current image received by the receiving module specifically for,
judging whether the far-end camera module sends information indicating that the human shape or the human face exists in the current image or not, if so, determining that the human shape or the human face exists in the current image, wherein the information indicating that the human shape or the human face exists in the current image comprises position information of the human shape or the human face in the current image;
or, detecting the human shape or the human face of the current image, if the human shape or the human face is detected, determining that the human shape or the human face exists in the current image, and recording the position information of the human shape or the human face in the current image.
A monitoring system, comprising: camera module, monitoring server and display terminal, wherein:
the camera module is used for acquiring images of a monitoring environment in real time and sending the acquired images to the monitoring server in real time;
the monitoring server is used for inquiring whether the human shape or the human face exists in the current image sent by the camera module, and if the human shape or the human face exists, the human shape or the human face in the current image is amplified according to the position of the human shape or the human face in the current image; sending the image containing the amplified human figure or human face to a local display terminal;
and the display terminal is used for displaying images.
The monitoring server inquires whether the current image sent by the camera module has human figures or human faces,
judging whether the camera module sends information indicating that the human shape or the human face exists in the current image or not, if so, determining that the human shape or the human face exists in the current image, wherein the information indicating that the human shape or the human face exists in the current image comprises position information of the human shape or the human face in the current image;
or, detecting the human shape or the human face of the current image, if the human shape or the human face is detected, determining that the human shape or the human face exists in the current image, and recording the position information of the human shape or the human face in the current image.
When the monitoring server inquires that a plurality of human figures or human faces exist in the current image,
the process of magnifying the human figure or face in the current image by the monitoring server is specifically used,
copying the current image for a corresponding number of times according to the number of human figures or human faces existing in the current image; and respectively selecting a copied image for each human shape or face existing in the current image, and amplifying the human shape or face in the selected image according to the position information of the human shape or face in the selected image.
The monitoring server is also used for sending the image containing the amplified human figure or human face to a local display terminal for displaying,
sending the current image without any human shape or human face amplification to a local display terminal for display;
and the monitoring server sends the image containing the amplified human figure or human face to a local display terminal for displaying,
when detecting that any human figure or face on the current image has an access request, sending an amplified human figure or face image containing the human figure or face to a local display terminal for displaying;
or when detecting that any human figure or human face on the current image has an access request, sending the floating window image of the amplified human figure or human face containing the human figure or human face to a local display terminal for displaying, and when detecting that the floating window image has the access request, converting the floating window image into a main window image for displaying on the local display terminal.
The embodiment of the invention realizes the highlighting of the people in the monitoring scene by detecting the human shape or the human face of the collected image in the monitoring scene and amplifying the detected human shape or the detected human face.
Drawings
Fig. 1 is a flowchart of a video monitoring method according to an embodiment of the present invention;
fig. 2 is a flowchart of a video monitoring method according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a monitoring server according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a monitoring system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
In the field of indoor monitoring, when monitoring an indoor scene, there is a need to locally amplify a person in each frame of image. There is currently no solution for this aspect.
Fig. 1 is a flowchart of a video monitoring method according to an embodiment of the present invention, which includes the following specific steps:
step 101: and the monitoring server receives the real-time image acquired by the far-end camera module.
Step 102: and for the received current image, the monitoring server inquires whether a human shape or a human face exists in the current image, and if so, the human shape or the human face in the current image is amplified according to the position of the human shape or the human face in the current image.
In practical application, in this step, the querying, by the monitoring server, whether a human figure or a human face exists in the current image may specifically include: the monitoring server judges whether the far-end camera module sends information indicating that the human shape or the human face exists in the current image or not, if so, the human shape or the human face exists in the current image, wherein the information indicating that the human shape or the human face exists in the current image comprises position information of the human shape or the human face in the current image; or comprises the following steps: and the monitoring server detects the human shape or the human face of the current image, determines that the human shape or the human face exists in the current image if the human shape or the human face is detected, and records the position information of the human shape or the human face in the current image.
In practical application, when the monitoring server inquires that a plurality of human shapes or human faces exist in the current image, the amplification processing of the human shapes or the human faces in the current image comprises the following steps: copying the current image for a corresponding number of times according to the number of human figures or human faces existing in the current image; and respectively selecting a copied image for each human shape or face existing in the current image, and amplifying the human shape or face in the selected image according to the position information of the human shape or face in the selected image.
Step 103: and the monitoring server sends the image containing the amplified human figure or human face to a local display terminal for display.
In practical applications, the step 103 may specifically include:
the monitoring server sends a current image without any human shape or human face amplification to a local display terminal for display; when detecting that any human figure or face on the current image has an access request, sending an amplified human figure or face image containing the human figure or face to a local display terminal for displaying; or: when any figure or face on the current image is detected to have an access request, the floating window image containing the enlarged figure or face of the figure or face is sent to a local display terminal to be displayed, and when the floating window image is detected to have the access request, the floating window image is converted into a main window image to be displayed on the local display terminal.
Fig. 2 is a flowchart of a video monitoring method according to another embodiment of the present invention, which includes the following specific steps:
step 201: the camera collects video images of a monitoring scene in real time and sends the collected images to a local client module in real time.
Step 202: the client module receives a real-time image sent by the camera, detects the human shape or the human face in the image according to a preset human shape or human face detection algorithm, and records the coordinates of the human shape or the human face in the image if the human shape or the human face is detected.
A human shape or face detection algorithm belongs to a mature algorithm, and mainly carries out human shape or face detection by extracting human shape or face characteristics of an image.
Step 203: the client module encodes the image collected by the camera and then sends the encoded image to the monitoring server in real time, and meanwhile, if the human figure or the human face is detected in the image, the corresponding relation between the image coordinates of the human figure or the human face and the image frame number is sent to the monitoring server.
The camera and the client module form a far-end camera module.
Step 204: and the monitoring server receives the image sent by the client module and decodes the image.
Step 205: for the decoded image, the monitoring server searches the image coordinates of the corresponding human figure or human face according to the frame number of the image, judges whether the image coordinates are found, and if so, executes step 206; otherwise, step 207 is performed.
Step 206: and for the image coordinates of each human figure or face, the monitoring server determines the position of the human figure or face in the image according to the image coordinates of the human figure or face, performs amplification processing on the human figure or face according to a set amplification algorithm, sends the image containing the amplified human figure or face to a local display terminal for display, and the process is finished.
Specifically, if the image coordinates of a plurality of human figures or human faces are found according to the frame number of the image, that is, the frame image has a plurality of human figures or human faces, then: copying the image for many times according to the number of the human figures or the human faces to obtain a plurality of copied images, sequentially selecting the image coordinates of one human figure or the human face from the image coordinates of all the human figures or the human faces, then sequentially selecting one copied image from the plurality of copied images, determining the position of the human figure or the human face in the selected image according to the selected image coordinates of the human figure or the human face, amplifying the human figure or the human face in the selected image according to a set amplification algorithm, and finally respectively obtaining the amplified human figure or the human face image containing the human figure or the human face for each human figure or the human face. I.e. finally, each image contains an enlarged human figure or face, respectively.
The monitoring server may first send the original image (i.e. the image without human figure or human face being enlarged) to the local display terminal for displaying, when it is detected that one of the human figures or human faces has an access request, for example: and after the user clicks one of the human figures or the human faces, sending the amplified human figure or human face image containing the human figure or the human face to a local display terminal for displaying.
In addition, when it is detected that there is an access request for a human figure or face on the main window image, for example: when a user clicks one human figure or face on the main window image, the monitoring server sends the floating window image containing the amplified human figure or face of the human figure or face to the local display terminal, the local display terminal displays the image in front of the main window in the form of a floating window, and when the floating window image is detected to have an access request, for example: and when the user clicks the floating window image, the monitoring server converts the floating window image into a main window image and displays the main window image on the local display terminal.
Step 207: and the monitoring server directly sends the image to a local display terminal for display.
Fig. 3 is a schematic structural diagram of a monitoring server according to an embodiment of the present invention, which mainly includes: a receiving module 31 and a processor 32, wherein:
and the receiving module 31 is configured to receive a real-time image acquired by the far-end camera module.
And the processor 32 is configured to query whether a human shape or a human face exists in the current image received by the receiving module 31, if so, perform amplification processing on the human shape or the human face in the current image according to a position of the human shape or the human face in the current image, and send an image including the amplified human shape or the amplified human face to the local display terminal for display.
In practical application, the processor 32 queries whether a human shape or a human face exists in the current image received by the receiving module 31, and determines whether the far-end camera module sends information indicating that the human shape or the human face exists in the current image, if so, the human shape or the human face exists in the current image, wherein the information indicating that the human shape or the human face exists in the current image includes position information of the human shape or the human face in the current image; or, detecting the human shape or the human face of the current image, if the human shape or the human face is detected, determining that the human shape or the human face exists in the current image, and recording the position information of the human shape or the human face in the current image.
In practical application, when the processor 32 finds that a plurality of human figures or human faces exist in the current image, the process of amplifying the human figures or human faces in the current image is specifically used for copying the current image for a corresponding number of times according to the number of the human figures or human faces existing in the current image; and respectively selecting a copied image for each human shape or face existing in the current image, and amplifying the human shape or face in the selected image according to the position information of the human shape or face in the selected image.
In practical applications, the processor 32 is further configured to send a current image without any human shape or human face magnification to the local display terminal for display before sending the image containing the magnified human shape or human face to the local display terminal for display; and sending the image containing the enlarged human figure or the face to a local display terminal for displaying, specifically, sending the image containing the enlarged human figure or the face to the local display terminal for displaying when detecting that any human figure or face in the current image has an access request, or sending the floating window image containing the enlarged human figure or the face to the local display terminal for displaying when detecting that any human figure or face in the current image has an access request, and converting the floating window image into a main window image for displaying on the local display terminal when detecting that the floating window image has an access request.
Fig. 4 is a schematic structural diagram of a monitoring system according to an embodiment of the present invention, where the monitoring system mainly includes: camera module 41, monitoring server 42 and display terminal 43, wherein:
and the camera module 41 is used for acquiring images of the monitored environment in real time and sending the acquired images to the monitoring server 42 in real time.
The monitoring server 42 is configured to query whether a human figure or a human face exists in the current image sent by the camera module 41, and if the human figure or the human face exists, perform amplification processing on the human figure or the human face in the current image according to a position of the human figure or the human face in the current image; the image containing the enlarged human figure or face is sent to the local display terminal 43.
And a display terminal 43 for displaying the image sent from the monitoring server 42.
In practical application, the monitoring server 42 queries whether a human shape or a human face exists in the current image sent by the camera module 41, specifically, determines whether the camera module 41 sends information indicating that the human shape or the human face exists in the current image, and if so, determines that the human shape or the human face exists in the current image, wherein the information indicating that the human shape or the human face exists in the current image includes position information of the human shape or the human face in the current image; or, detecting the human shape or the human face of the current image, if the human shape or the human face is detected, determining that the human shape or the human face exists in the current image, and recording the position information of the human shape or the human face in the current image.
In practical application, when the monitoring server 42 inquires that a plurality of human figures or human faces exist in the current image, the amplification processing on the human figures or human faces in the current image is specifically used for copying the current image for a corresponding number of times according to the number of the human figures or human faces existing in the current image; and respectively selecting a copied image for each human shape or face existing in the current image, and amplifying the human shape or face in the selected image according to the position information of the human shape or face in the selected image.
In practical applications, the monitoring server 42 is further configured to send a current image without any human shape or human face magnification to the local display terminal for display before sending the image containing the magnified human shape or human face to the local display terminal for display; the method includes the steps of sending an image containing an enlarged human figure or a human face to a local display terminal for display, specifically, sending the image containing the enlarged human figure or the human face of the human figure or the human face to the local display terminal when it is detected that any human figure or human face in a current image has an access request, or sending a floating window image containing the enlarged human figure or the human face of the human figure or the human face to the local display terminal for display when it is detected that any human figure or human face in the current image has an access request, and converting the floating window image into a main window image for display on the local display terminal when it is detected that the floating window image has an access request.
The embodiment of the invention is particularly suitable for indoor monitoring scenes, such as: and a monitoring scene for both business and live.
The embodiment of the invention has the following beneficial technical effects:
the human shape or the human face of the collected image in the monitoring scene is detected, and the detected human shape or the detected human face is amplified, so that the highlight display of the human in the monitoring scene is realized;
furthermore, the processing burden of the monitoring server is reduced by detecting the human shape or the human face at the camera module end;
furthermore, when a plurality of people exist in the monitoring scene, the current image can be copied, one human figure or face is respectively amplified in each copied image, and the amplified images containing different human figures or faces can be switched and displayed according to the request of a user.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. A video surveillance method, comprising:
the monitoring server receives a real-time image acquired by the remote camera module;
the monitoring server inquires whether a human figure or a human face exists in the current image, and if the human figure or the human face exists, the human figure or the human face in the current image is amplified according to the position of the human figure or the human face in the current image;
and the monitoring server sends the image containing the amplified human figure or human face to a local display terminal for display.
2. The method of claim 1, wherein the monitoring server querying whether a human figure or a human face exists in the current image comprises:
the monitoring server judges whether the far-end camera module sends information indicating that the human shape or the human face exists in the current image or not, if so, the human shape or the human face exists in the current image, wherein the information indicating that the human shape or the human face exists in the current image comprises position information of the human shape or the human face in the current image;
or comprises the following steps: and the monitoring server detects the human shape or the human face of the current image, determines that the human shape or the human face exists in the current image if the human shape or the human face is detected, and records the position information of the human shape or the human face in the current image.
3. The method of claim 1, wherein when the monitoring server inquires that a plurality of human figures or human faces exist in the current image,
the process of amplifying the human figure or the human face in the current image comprises the following steps:
copying the current image for a corresponding number of times according to the number of human figures or human faces existing in the current image;
and respectively selecting a copied image for each human shape or face existing in the current image, and amplifying the human shape or face in the selected image according to the position information of the human shape or face in the selected image.
4. The method of claim 3, wherein before the monitoring server sends the image containing the enlarged human figure or human face to the local display terminal for display, the method further comprises:
the monitoring server sends a current image without any human shape or human face amplification to a local display terminal for display;
and, the monitoring server sends the image containing the amplified human figure or human face to a local display terminal for display, including:
when detecting that any human figure or face on the current image has an access request, sending an amplified human figure or face image containing the human figure or face to a local display terminal for displaying;
or when detecting that any human figure or human face on the current image has an access request, sending the floating window image of the amplified human figure or human face containing the human figure or human face to a local display terminal for displaying, and when detecting that the floating window image has the access request, converting the floating window image into a main window image for displaying on the local display terminal.
5. A monitoring server, comprising:
the receiving module is used for receiving the real-time image acquired by the far-end camera module;
and the processor is used for inquiring whether the human shape or the human face exists in the current image received by the receiving module, if so, amplifying the human shape or the human face in the current image according to the position of the human shape or the human face in the current image, and sending the image containing the amplified human shape or the human face to the local display terminal for displaying.
6. The monitoring server of claim 5, wherein the processor queries whether a human figure or a human face is specifically present in the current image received by the receiving module,
judging whether the far-end camera module sends information indicating that the human shape or the human face exists in the current image or not, if so, determining that the human shape or the human face exists in the current image, wherein the information indicating that the human shape or the human face exists in the current image comprises position information of the human shape or the human face in the current image;
or, detecting the human shape or the human face of the current image, if the human shape or the human face is detected, determining that the human shape or the human face exists in the current image, and recording the position information of the human shape or the human face in the current image.
7. A monitoring system, comprising: camera module, monitoring server and display terminal, wherein:
the camera module is used for acquiring images of a monitoring environment in real time and sending the acquired images to the monitoring server in real time;
the monitoring server is used for inquiring whether the human shape or the human face exists in the current image sent by the camera module, and if the human shape or the human face exists, the human shape or the human face in the current image is amplified according to the position of the human shape or the human face in the current image; sending the image containing the amplified human figure or human face to a local display terminal;
and the display terminal is used for displaying images.
8. The monitoring system according to claim 7, wherein the monitoring server queries whether a human figure or a human face exists in the current image sent by the camera module,
judging whether the camera module sends information indicating that the human shape or the human face exists in the current image or not, if so, determining that the human shape or the human face exists in the current image, wherein the information indicating that the human shape or the human face exists in the current image comprises position information of the human shape or the human face in the current image;
or, detecting the human shape or the human face of the current image, if the human shape or the human face is detected, determining that the human shape or the human face exists in the current image, and recording the position information of the human shape or the human face in the current image.
9. The monitoring system according to claim 7, wherein when the monitoring server inquires that a plurality of human figures or faces exist in the current image,
the process of magnifying the human figure or face in the current image by the monitoring server is specifically used,
copying the current image for a corresponding number of times according to the number of human figures or human faces existing in the current image; and respectively selecting a copied image for each human shape or face existing in the current image, and amplifying the human shape or face in the selected image according to the position information of the human shape or face in the selected image.
10. The monitoring system of claim 9, wherein the monitoring server is further configured to, prior to sending the image containing the magnified human figure or face to the local display terminal for display,
sending the current image without any human shape or human face amplification to a local display terminal for display;
and the monitoring server sends the image containing the amplified human figure or human face to a local display terminal for displaying,
when detecting that any human figure or face on the current image has an access request, sending an amplified human figure or face image containing the human figure or face to a local display terminal for displaying;
or when detecting that any human figure or human face on the current image has an access request, sending the floating window image of the amplified human figure or human face containing the human figure or human face to a local display terminal for displaying, and when detecting that the floating window image has the access request, converting the floating window image into a main window image for displaying on the local display terminal.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101770649A (en) * 2008-12-30 2010-07-07 中国科学院自动化研究所 Automatic synthesis method for facial image
US20110199502A1 (en) * 2010-02-15 2011-08-18 Canon Kabushiki Kaisha Image pickup apparatus
US20120081554A1 (en) * 2010-10-05 2012-04-05 Berman Arthur L Display system using metadata to adjust area of interest and method
CN102833486A (en) * 2012-07-05 2012-12-19 深圳泰山在线科技有限公司 Method and device for real-time adjusting face display scale in video image
CN103945121A (en) * 2014-03-24 2014-07-23 联想(北京)有限公司 Information processing method and electronic equipment
CN104429059A (en) * 2012-07-04 2015-03-18 株式会社电装 Vehicle surroundings image display control device, vehicle surroundings image display control method, and a persistent tangible computer-readable medium comprising commands including said method
CN107295308A (en) * 2017-07-18 2017-10-24 国家电网公司客户服务中心南方分中心 A kind of supervising device based on computer room recognition of face and alarm
CN107771314A (en) * 2015-06-15 2018-03-06 汤姆逊许可公司 Apparatus and method for carrying out video scaling by selecting and tracking image-region
CN109670413A (en) * 2018-11-30 2019-04-23 腾讯科技(深圳)有限公司 Face living body verification method and device
CN109766755A (en) * 2018-12-06 2019-05-17 深圳市天彦通信股份有限公司 Face identification method and Related product

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101770649A (en) * 2008-12-30 2010-07-07 中国科学院自动化研究所 Automatic synthesis method for facial image
US20110199502A1 (en) * 2010-02-15 2011-08-18 Canon Kabushiki Kaisha Image pickup apparatus
US20120081554A1 (en) * 2010-10-05 2012-04-05 Berman Arthur L Display system using metadata to adjust area of interest and method
CN104429059A (en) * 2012-07-04 2015-03-18 株式会社电装 Vehicle surroundings image display control device, vehicle surroundings image display control method, and a persistent tangible computer-readable medium comprising commands including said method
CN102833486A (en) * 2012-07-05 2012-12-19 深圳泰山在线科技有限公司 Method and device for real-time adjusting face display scale in video image
CN103945121A (en) * 2014-03-24 2014-07-23 联想(北京)有限公司 Information processing method and electronic equipment
CN107771314A (en) * 2015-06-15 2018-03-06 汤姆逊许可公司 Apparatus and method for carrying out video scaling by selecting and tracking image-region
CN107295308A (en) * 2017-07-18 2017-10-24 国家电网公司客户服务中心南方分中心 A kind of supervising device based on computer room recognition of face and alarm
CN109670413A (en) * 2018-11-30 2019-04-23 腾讯科技(深圳)有限公司 Face living body verification method and device
CN109766755A (en) * 2018-12-06 2019-05-17 深圳市天彦通信股份有限公司 Face identification method and Related product

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
石琳琦等: "公交客车乘客计数技术的研发进展", 《电子世界》 *

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