CN109670451A - Automatic face recognition tracking - Google Patents

Automatic face recognition tracking Download PDF

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Publication number
CN109670451A
CN109670451A CN201811565952.2A CN201811565952A CN109670451A CN 109670451 A CN109670451 A CN 109670451A CN 201811565952 A CN201811565952 A CN 201811565952A CN 109670451 A CN109670451 A CN 109670451A
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CN
China
Prior art keywords
face
mobile target
target
characteristic data
video camera
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811565952.2A
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Chinese (zh)
Inventor
高旭麟
薛超
付邦鹏
田增辉
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Tianjin Tiandi Weiye Information System Integration Co Ltd
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Tianjin Tiandi Weiye Information System Integration Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Tianjin Tiandi Weiye Information System Integration Co Ltd filed Critical Tianjin Tiandi Weiye Information System Integration Co Ltd
Priority to CN201811565952.2A priority Critical patent/CN109670451A/en
Publication of CN109670451A publication Critical patent/CN109670451A/en
Pending legal-status Critical Current

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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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G06V40/173—Classification, e.g. identification face re-identification, e.g. recognising unknown faces across different face tracks
    • 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
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • 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
    • H04N23/61—Control of cameras or camera modules based on recognised objects
    • H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Image Processing (AREA)
  • Studio Devices (AREA)
  • Image Analysis (AREA)

Abstract

The present invention provides a kind of Automatic face recognition trackings, acquire the image information of mobile target, and the image information of the mobile target is acquired by video camera；The video camera passes through mobile target described in cradle head control real-time tracking；Start recognition of face, judges whether the mobile target is stranger；The mobile target is determined by the cradle head control, to capture clearly face picture after stranger；The face picture of the mobile target is sent to terminal, and exports warning message to the terminal.The present invention tracks target person by cradle head control, identifies, accurate face information and warning message are sent to terminal.

Description

Automatic face recognition tracking
Technical field
The invention belongs to monitoring device technical fields, more particularly, to a kind of Automatic face recognition tracking.
Background technique
With the development of monitoring field electronic technology, product is monitored towards intelligentized direction fast development, is proposed Various AI intellectual products, AI monitor product and play this important function in " the safe city construction " carried out energetically at present, wherein Face recognition technology is even more to play the role of vital, and existing face identification system compares target person by manually acquisition Image, working efficiency is lower, narrow scope of application.
Summary of the invention
In view of this, the present invention is directed to propose a kind of Automatic face recognition tracking, is tracked and identified by cradle head control Target person, the face picture for obtaining clear target person, and warning message is uploaded to terminal.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of Automatic face recognition tracking, includes the following steps:
S101: acquiring the image information of mobile target, and the image information of the mobile target is acquired by video camera；
S102: the video camera passes through mobile target described in cradle head control real-time tracking；
S103: starting recognition of face judges whether the mobile target is stranger；
S104: the mobile target is determined by the cradle head control, to capture clearly face picture after stranger；
S105: the face picture of the mobile target is sent to terminal, and exports warning message to the terminal.
Further, in step s 103, the recognition of face includes the following steps:
S201: detecting the first frame image data in the information of the collected mobile target, tentatively judged, if It is confirmed as face, then identifies Target id, if not face, return step S201；
S202: continue to extract the face characteristic data that can be compared from the information of the collected mobile target, by institute State the face characteristic data comparison for the face characteristic data and Target id that can be compared；
S203: when the face characteristic data compared are identical as the face characteristic data of the Target id, again It is determined as face, if not identical, return step S201；
S204: the face information stored in the face characteristic data of the mobile target and database is compared, institute is worked as When stating the face characteristic data of mobile target and being not belonging to the face information stored in the database, determine that the mobile target is Stranger.
Further, the warning message includes the device number of the video camera and the geographical location of the video camera.
Further, the cradle head control includes holder or so/move up and down and the camera lens zoom, zoom control System.
Compared with the existing technology, a kind of Automatic face recognition tracking of the present invention, has the advantage that and passes through Cradle head control tracks target person, is identified, accurate face information and warning message are sent to terminal, and work people Member takes timely measure protection personal and property safety.
Detailed description of the invention
The attached drawing for constituting a part of the invention is used to provide further understanding of the present invention, schematic reality of the invention It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is Automatic face recognition tracking flow chart described in the embodiment of the present invention；
Fig. 2 is recognition of face flow chart described in the embodiment of the present invention.
Specific embodiment
The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
If Fig. 1 is Automatic face recognition tracking flow chart, comprising the following steps:
S101: it whether there is target in detection scene；
S102: judging whether the target moves, and if mobile target, acquires the mobile target image information, described Mobile target image information is acquired by camera lens, if static target, continues return step S101；
S103: after collecting mobile target, the video camera is described by mobile target described in cradle head control real-time tracking Cradle head control includes holder or so/move up and down and camera lens zoom, Zoom control, it is ensured that target is always in scene domain It is interior；
S104: starting recognition of face identifies the mobile objective attribute target attribute；
S105: judging whether the mobile target is people, if the mobile target is people, continues step S106, conversely, Return step S101；
S106: after determining that the mobile target is behaved, stranger is judged whether it is, if the mobile target is strange People continues step S107, conversely, return step S101；
S107: determine the mobile target for after stranger, for the camera lens after zoom, zoom, it is clear to capture Face picture；
S108: being sent to terminal for the face picture of the mobile target, and exports warning message to the terminal, described Warning message includes the device number of the video camera and the geographical location of the video camera.
It is illustrated in figure 2 recognition of face flow chart, comprising the following steps:
S201: detecting the first frame image data in the information of the collected mobile target, tentatively judged, if It is confirmed as face, then identifies Target id, if not face, return step S201；
S202: continue to extract the face characteristic data that can be compared from the information of the collected mobile target, by institute State the face characteristic data comparison for the face characteristic data and Target id that can be compared；
S203: when the face characteristic data compared are identical as the face characteristic data of the Target id, again It is determined as face, if not identical, return step S201；
S204: the face information stored in the face characteristic data of the mobile target and database is compared, institute is worked as When stating the face characteristic data of mobile target and being not belonging to the face information stored in the database, determine that the mobile target is Stranger.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.

Claims (4)

1. Automatic face recognition tracking, characterized by the following steps:
S101: acquiring the image information of mobile target, and the image information of the mobile target is acquired by video camera；
S102: the video camera passes through mobile target described in cradle head control real-time tracking；
S103: starting recognition of face judges whether the mobile target is stranger；
S104: the mobile target is determined by the cradle head control, to capture clearly face picture after stranger；
S105: the face picture of the mobile target is sent to terminal, and exports warning message to the terminal.
2. Automatic face recognition tracking according to claim 1, it is characterised in that: in step s 103, the people Face identification includes the following steps:
S201: the first frame image data in the information of the detection collected mobile target is tentatively judged, if confirmation For face, then Target id is identified, if not face, return step S201；
S202: continuing to extract the face characteristic data that can be compared from the information of the collected mobile target, can by described in The face characteristic data of comparison and the face characteristic data comparison of the Target id；
S203: it when the face characteristic data compared are identical as the face characteristic data of the Target id, determines again For face, if not identical, return step S201；
S204: the face information stored in the face characteristic data of the mobile target and database is compared, when the shifting When the face characteristic data of moving-target are not belonging to the face information stored in the database, determine that the mobile target is strange People.
3. Automatic face recognition tracking according to claim 1, it is characterised in that: the warning message includes described The geographical location of the device number of video camera and the video camera.
4. Automatic face recognition tracking according to claim 1, it is characterised in that: the cradle head control includes holder It control/moves up and down and the camera lens zoom, Zoom control.
CN201811565952.2A 2018-12-20 2018-12-20 Automatic face recognition tracking Pending CN109670451A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811565952.2A CN109670451A (en) 2018-12-20 2018-12-20 Automatic face recognition tracking

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811565952.2A CN109670451A (en) 2018-12-20 2018-12-20 Automatic face recognition tracking

Publications (1)

Publication Number Publication Date
CN109670451A true CN109670451A (en) 2019-04-23

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Application publication date: 20190423