JPH11316836A - Person identifying - Google Patents

Person identifying

Info

Publication number
JPH11316836A
JPH11316836A JP10123231A JP12323198A JPH11316836A JP H11316836 A JPH11316836 A JP H11316836A JP 10123231 A JP10123231 A JP 10123231A JP 12323198 A JP12323198 A JP 12323198A JP H11316836 A JPH11316836 A JP H11316836A
Authority
JP
Japan
Prior art keywords
image
image acquisition
person
acquired
identification
Prior art date
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.)
Granted
Application number
JP10123231A
Other languages
Japanese (ja)
Other versions
JP3580129B2 (en
Inventor
Koji Sogo
浩二 十河
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Omron Corp
Original Assignee
Omron Corp
Omron Tateisi Electronics Co
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.)
Filing date
Publication date
Application filed by Omron Corp, Omron Tateisi Electronics Co filed Critical Omron Corp
Priority to JP12323198A priority Critical patent/JP3580129B2/en
Publication of JPH11316836A publication Critical patent/JPH11316836A/en
Application granted granted Critical
Publication of JP3580129B2 publication Critical patent/JP3580129B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Abstract

PROBLEM TO BE SOLVED: To surely identify a specified person at the time of performing re- identification processing, accompanying the specification of a person oneself by providing an image re-acquisition condition changing means to change image re-acquisition result of physical characteristics from those at the last time when acquiring a re-image by means of an image acquiring means. SOLUTION: When an image is acquired from an image pickup camera 12, the characteristic quantity of an image acquired by an identification processing part 23 is compared with the characteristic quantity proper to a specified person 18 stored and managed by a database 24 and collation is confirmed. When it is decided that the person can not be correctly identified from the acquired image, an acquisition condition of physical characteristic quantity is significantly changed by controlling at least one from a controller 21 and an image acquisition data is made different from the last one and is acquired through this. Thus, an acquired image is surely different this time from the last time, the preceding image acquisition condition itself in which an identification element is in short is improved and the physical characteristic quantity of the person 18 can be clearly acquired.

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】この発明は、人の身体的特徴
量を照合要素に用いて識別する本人特定装置に関し、さ
らに詳しくは1回で正しく本人を識別できない特定不能
時に繰返し実行する再特定処理時の特定成功率を高めた
本人特定装置に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a personal identification device for identifying a physical feature of a person by using a collation element, and more particularly to a re-identification process that is repeatedly executed when identification cannot be performed correctly at one time when the individual cannot be identified correctly. The present invention relates to a personal identification device having a high specific success rate at the time.

【0002】[0002]

【従来の技術】一般に、この種の本人特定装置は歩いて
来る人の顔を撮像カメラで撮影し、これをリアルタイム
で識別したり、機器の前に立止まっている人を撮影して
識別する識別機能が備えられている。この識別に際して
は、顔画像から特徴量を抽出し、この抽出した特徴量と
登録データとを比較して類似度を求めることにより本人
か否かを識別している。
2. Description of the Related Art In general, a personal identification device of this type captures the face of a walking person with an imaging camera and identifies the person in real time, or identifies a person standing in front of the device by identifying the person. An identification function is provided. At the time of this identification, a feature amount is extracted from the face image, and the extracted feature amount is compared with registered data to obtain a similarity, thereby identifying whether or not the user is the person.

【0003】このとき、正しく本人を識別できない場合
は、識別手順を繰返して再識別処理を実行している。こ
の場合、1回の識別処理で本人を正しく識別する確率
は、例えば90%の識別成功率を有していれば、 1−(1−0.9)N となり、例えば再識別処理回数N=3としても、識別成
功率は99.99%となる。このように、1回あたりの
識別成功率が低くても計算上では再識別処理回数を増や
せば、識別成功率は大幅に向上することになる。
At this time, if the user cannot be correctly identified, the identification procedure is repeated to execute the re-identification process. In this case, the probability of correctly identifying the individual in one identification process is 1- (1-0.9) N if the identification success rate is 90%, for example. For example, the number of re-identification processes N = Even if the number is 3, the identification success rate is 99.99%. Thus, even if the identification success rate per one time is low, if the number of re-identification processes is increased in calculation, the identification success rate will be greatly improved.

【0004】しかし、実際は再識別処理の識別処理画像
が全く同じ画像であり、それが1回目にエラーになった
ものであれば、何度繰返しても成功することはなく、同
様に再識別する識別処理画像が例え時間的に数フレーム
異なっていたとしても、顔像に視覚的に大きな違いはな
く、繰返し再識別処理しても成功しないことが多い。特
に、入力画像の明るさが適切でなかったり、顔画像の陰
影が過剰になっていたり、顔の向きが識別に不向きな場
合は、何度再識別しても良い結果は得られず、識別エラ
ーとなってしまうことが多い。
[0004] However, in practice, if the re-identification processing images are exactly the same image, and if it is the first error, it will not succeed even if it is repeated many times. Even if the identification processing images are different from each other by several frames in time, there is no visually significant difference in the face image, and the re-identification processing is often not successful. In particular, when the brightness of the input image is not appropriate, the shadow of the face image is excessive, or the orientation of the face is not suitable for identification, good results cannot be obtained even if re-identification is performed many times. Often an error occurs.

【0005】[0005]

【発明が解決しようとする課題】そこでこの発明は、本
人の特定に伴って再識別処理するとき、この再識別処理
に適した画像取得条件に設定変更して特定者を確実に識
別できるようにした本人特定装置の提供を目的とする。
SUMMARY OF THE INVENTION Accordingly, the present invention provides a method of re-identifying a specific person by changing the setting to image acquisition conditions suitable for the re-identification processing so that the specific person can be reliably identified. The purpose of the present invention is to provide a personal identification device.

【0006】[0006]

【課題を解決するための手段】請求項1記載の発明は、
人の身体的特徴量を画像取得手段より取得し、この取得
した身体的特徴量と記憶手段が記憶する予め特定した特
定者の身体的特徴量との類似度から本人を特定する本人
特定装置であって、上記画像取得手段の再画像取得時
に、身体的特徴量の再画像取得結果を前回と異ならせる
ための再画像取得条件変更手段を備えたことを特徴とす
る。
According to the first aspect of the present invention,
A person identification device that acquires the physical characteristics of a person from the image acquisition means and identifies the person from the similarity between the acquired physical characteristics and the physical characteristics of the specific person specified in advance stored in the storage means. Further, when the image acquiring means acquires the re-image, a re-image acquiring condition changing means for making a re-image acquiring result of the physical feature amount different from the previous one is provided.

【0007】請求項2記載の発明は、人の顔画像を画像
取得手段より取得し、この取得した顔画像と記憶手段が
記憶する予め特定した特定者の顔画像との類似度から本
人を特定する本人特定装置であって、上記画像取得手段
の再画像取得時に、顔画像の再画像取得結果を前回と異
ならせるための再画像取得条件変更手段を備えたことを
特徴とする。
According to a second aspect of the present invention, a person's face image is obtained from an image obtaining means, and the person is specified based on the similarity between the obtained face image and a previously specified face image of a specific person stored in the storage means. And a re-image acquisition condition changing unit for making the re-image acquisition result of the face image different from the previous image when the image acquisition unit acquires the re-image.

【0008】請求項3記載の発明は、光量を変更制御す
る照明制御手段を備えた再画像取得条件変更手段である
ことを特徴とする。
According to a third aspect of the present invention, there is provided a re-image acquisition condition changing means having an illumination control means for changing and controlling a light amount.

【0009】請求項4記載の発明は、画像取得手段の露
光時間を変更制御する露光時間制御手段を備えた再画像
取得条件変更手段であることを特徴とする。
According to a fourth aspect of the present invention, there is provided a re-image acquisition condition changing unit including an exposure time control unit for changing and controlling the exposure time of the image acquisition unit.

【0010】請求項5記載の発明は、照明制御手段、画
像取得手段の少なくとも一つを移動調整する移動調整制
御手段を備えた再画像取得条件変更手段であることを特
徴とする。
According to a fifth aspect of the present invention, there is provided a re-image acquisition condition changing unit including a movement adjustment control unit for adjusting at least one of an illumination control unit and an image acquisition unit.

【0011】請求項6記載の発明は、顔の表情や人の向
きを変えさせる所作行為案内手段を備えた再画像取得条
件変更手段であることを特徴とする。
The invention according to claim 6 is characterized in that it is a re-image acquisition condition changing means provided with a gesture action guiding means for changing the facial expression and the direction of a person.

【0012】請求項7記載の発明は、本人を特定できな
い特定不明原因となった画像取得条件の中から最も有効
に変更要素が得られる画像取得条件を推定する推定手段
と、この推定手段で推定した画像取得条件に変更制御す
る変更制御手段とを備えた再画像取得条件変更手段であ
ることを特徴とする。
[0012] According to a seventh aspect of the present invention, there is provided an estimating means for estimating an image acquiring condition which can obtain a changed element most effectively from image acquiring conditions which have caused an unidentified person who cannot identify a person. And a change control unit for changing and controlling the image acquisition condition.

【0013】[0013]

【発明の作用及び効果】この発明によれば、人の身体的
特徴量を画像取得手段より取得したとき、この取得した
身体的特徴量と記憶手段が記憶する予め特定した特定者
の身体的特徴量との類似度から本人を特定する。この
際、本人を特定できないときは、再画像取得条件変更手
段により再度、画像取得手段より画像を取得し、この再
画像の取得時に身体的特徴量の取得結果を前回と異なら
せて取得する。
According to the present invention, when the physical characteristics of a person are obtained from the image obtaining means, the obtained physical characteristics and the physical characteristics of the specified person stored in the storage means are stored. The person is identified from the similarity with the quantity. At this time, if the user cannot be identified, the image is acquired again by the image acquiring means by the re-image acquiring condition changing means, and the acquisition result of the physical feature amount is acquired at the time of acquiring the re-image by making it different from the previous time.

【0014】このため、再識別処理時の識別処理画像は
前回と今回とで大きく異なり、前回の識別要素が不足し
ていた画像取得条件そのものが変化するため、取得した
身体的特徴量を明確に取得でき、再識別に適した画像取
得条件下に設定変更して再識別処理ができる。この結
果、再識別時の識別成功率が向上し、また無駄な再識別
の繰返しが解消されて識別処理時間の短縮が図れる。
For this reason, the identification processing image at the time of the re-identification processing is significantly different between the previous and current times, and the image acquisition condition itself in which the previous identification element was insufficient is changed. Re-identification processing can be performed by changing settings under image acquisition conditions suitable for re-identification. As a result, the identification success rate at the time of re-identification is improved, and unnecessary re-identification repetition is eliminated, so that the identification processing time can be reduced.

【0015】また、身体付きなど身体的特徴量を識別要
素にしてもよく、識別に適した個人毎に明瞭に異なる顔
画像を識別要素にすることもできる。さらに、再画像を
取得するときの画像取得条件の変更に際して、照明制御
手段により被写体に対する光量を変更制御すれば、照明
される本人の取得画像を最適な明るさに設定変更するこ
とができる。
Further, a physical feature such as with a body may be used as an identification element, and a face image that is clearly different for each individual suitable for identification may be used as an identification element. Furthermore, when changing the image acquisition conditions when acquiring a re-image, if the illumination control means controls the change in the amount of light to the subject, it is possible to change the setting of the illuminated acquired image of the person to optimal brightness.

【0016】同じく、再画像を取得するときの画像取得
条件の変更に際して、露光時間制御手段により撮像カメ
ラ等の画像取得手段の露光時間を変更制御すれば、画像
取得に適した最適な明るさに設定変更することができ
る。
Similarly, when changing the image acquisition conditions for reacquisition of an image, the exposure time of the image acquisition means such as an image pickup camera is controlled by the exposure time control means so that the optimum brightness suitable for image acquisition is obtained. Settings can be changed.

【0017】同じく、再画像を取得するときの画像取得
条件の変更に際して、移動調整制御手段により照明制御
手段、画像取得手段の少なくとも一つを上下、左右、回
転等に移動調整して画像取得条件を設定変更すれば、画
像取得角度が大きく異なり、異方向からの画像を取得す
ることができる。
Similarly, at the time of changing the image acquisition conditions when re-acquiring an image, the movement adjustment control means moves and adjusts at least one of the illumination control means and the image acquisition means to up, down, left, right, rotation, etc. If the setting is changed, the image acquisition angles are greatly different, and images from different directions can be acquired.

【0018】同じく、再画像を取得するときの画像取得
条件の変更に際して、所作行為案内手段により顔の表情
や人の向きを変えさせれば、人特有の個人毎に明確に異
なる身体的特徴量の画像が容易に得られる。
Similarly, when changing the image acquisition conditions for re-acquisition of an image, if the facial expression and the direction of the person are changed by the action guide means, the physical characteristic amount which is clearly different for each individual peculiar to the person. Is easily obtained.

【0019】同じく、再画像を取得するときの画像取得
条件の変更に際して、本人を特定できない特定不明原因
となった前回の画像取得条件の中から最も有効に変更要
素が得られる画像取得条件を推定手段により推定し、こ
の推定手段で推定した画像取得条件になるように変更制
御手段を変更制御すれば、再識別に最も適した画像取得
条件に設定変更することができる。
Similarly, when changing the image acquisition condition when acquiring a re-image, the image acquisition condition that most effectively obtains the changed element is estimated from the previous image acquisition condition that caused the unclear identification of the person. If the change control unit is changed and controlled so as to satisfy the image acquisition condition estimated by the unit, the image acquisition condition can be changed to the image acquisition condition most suitable for re-identification.

【0020】[0020]

【実施例】この発明の一実施例を以下図面に基づいて詳
述する。図1は室の扉を開閉管理する入退室の管理に適
用した本人特定装置11を示し、この本人特定装置11
は撮像カメラ12と、テンキー13と、カードリーダ1
4とを一体に備えた照合ユニット15を扉近傍の顔高さ
壁面位置に設置し、またその壁面上部には撮像条件を変
えるための照明ライト16とスピーカ17を設置して構
成している。
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below in detail with reference to the drawings. FIG. 1 shows a personal identification device 11 applied to entrance / exit management for opening and closing a room door.
Denotes an imaging camera 12, a numeric keypad 13, and a card reader 1.
A collation unit 15 integrally provided with the camera 4 is installed at a face-height wall position near the door, and an illumination light 16 and a speaker 17 for changing imaging conditions are installed above the wall.

【0021】上述の撮像カメラ12は、扉に近付いた人
の顔を撮像する向きに設定して顔画像データを取得し、
この顔画像データを撮像カメラ12で取得する際、目、
鼻、口…等の各部分および顔全体の形状や大きさ、髪
型、眼鏡の有無、色、皺、化粧度合い等の本人固有の顔
情報を取得する。
The above-described imaging camera 12 is set in a direction in which a face of a person approaching the door is imaged, and acquires face image data.
When this face image data is acquired by the imaging camera 12, the eyes,
The face information unique to the person, such as the shape and size of each part such as the nose, mouth, etc. and the entire face, the hairstyle, the presence or absence of glasses, the color, wrinkles, the degree of makeup, etc., is acquired.

【0022】そして、この取得した顔情報を特定者18
の照合要素に用い、扉の前に人が近付いたとき、撮像カ
メラ12が人の顔情報を撮像し、これを特定者18の予
め登録した登録データと照合して登録確認したとき解錠
するように設定している。
Then, the obtained face information is transmitted to the specific person 18.
When the person approaches the door, the imaging camera 12 captures the face information of the person, compares it with registered data of the specific person 18 in advance, and unlocks when the registration is confirmed. Is set as follows.

【0023】また、撮像カメラ12の電源をOFFに設
定しているときは、画像による解錠データ以外に、特定
者18が照合ユニット15のテンキー13に暗証番号
(PIN)を入力操作すれば解錠することができ、また
カードリーダ14に特定者18のIDカードを読取りチ
ェックさせれば解錠利用することができる。
When the power of the imaging camera 12 is set to OFF, in addition to the unlocking data based on the image, the specific person 18 inputs the personal identification number (PIN) to the numeric key 13 of the collating unit 15 to unlock the camera. It can be locked and can be unlocked if the card reader 14 reads and checks the ID card of the specific person 18.

【0024】図2は本人特定装置11の制御回路ブロッ
ク図を示し、コントローラ21は設定されたプログラム
に沿って各回路装置を制御し、その制御データを読出し
可能に記憶する。
FIG. 2 is a block diagram of a control circuit of the personal identification device 11. The controller 21 controls each circuit device according to a set program, and stores the control data in a readable manner.

【0025】先ず、撮像カメラ12から画像を取得する
と、この取得した画像を画像入力部22に取込んだ後、
識別処理部23に導いて、この識別処理部23で取得し
た画像の特徴量と、データベース24で記憶管理してい
る特定者の本人固有の特徴量とを比較させて照合確認す
る。
First, when an image is acquired from the imaging camera 12, the acquired image is taken into the image input unit 22,
The information is guided to the identification processing unit 23, and the characteristic amount of the image acquired by the identification processing unit 23 is compared with the characteristic amount unique to the specific person stored and managed in the database 24 to confirm the collation.

【0026】このとき、取得した画像から正しく本人の
識別ができないと判定した場合は、このコントローラ2
1が繰返し画像を取得するように出力制御する。この場
合、コントローラ21は再識別に適した画像を取得する
ため、画像取得条件を変更させる画像取得条件変更機能
を有している。
At this time, if it is determined that the person cannot be correctly identified from the acquired image, the controller 2
1 controls output so that an image is repeatedly acquired. In this case, the controller 21 has an image acquisition condition changing function for changing an image acquisition condition in order to acquire an image suitable for re-identification.

【0027】この画像取得条件変更機能は、コントロー
ラ21から遠隔制御可能にカメラ制御部25、照明制御
部26、音声出力部27をそれぞれ接続し、このコント
ローラ21から少なくとも1つを制御することにより身
体的特徴量の取得条件が大きく異なり、これにより画像
取得データを前回と異ならせて取得する。
The image acquisition condition changing function is such that the camera control unit 25, the illumination control unit 26, and the sound output unit 27 are connected to each other so as to be remotely controllable from the controller 21, and at least one is controlled by the controller 21 to control the body. The acquisition conditions of the target feature amount are greatly different, so that the image acquisition data is acquired differently from the previous time.

【0028】例えば、カメラ制御部25を制御する場
合、撮像カメラ12の露光時間を変えて被写体の明るさ
を変更する。このときは、身体的特徴量の画像取得に適
した最適な明るさに設定変更することができる。
For example, when controlling the camera control unit 25, the exposure time of the imaging camera 12 is changed to change the brightness of the subject. At this time, the setting can be changed to the optimum brightness suitable for acquiring the image of the physical feature amount.

【0029】また、撮像カメラ12を上下、左右、回転
など移動調整して撮像位置や画像取得角度を変えて異方
向から画像を取得する。このときは、取得した画像が前
回と今回とで確実に異なり、識別要素が不足していた前
回の画像取得条件そのものが改善されて特定者18の身
体的特徴量を明確に取得できる。
Further, the image capturing camera 12 is moved and adjusted, such as up and down, left and right, and rotation, to change the image capturing position and the image obtaining angle to obtain images from different directions. At this time, the acquired image is definitely different between the previous image and the current image, and the previous image acquisition condition itself in which the identification element is insufficient is improved, so that the physical feature amount of the specific person 18 can be clearly acquired.

【0030】照明制御部26を制御する場合は、照明ラ
イト16の光量を変更する。このときは、周辺全体の明
るさを変えて被写体の画像取得に適した明るさに設定変
更することができる。
When controlling the illumination control section 26, the light quantity of the illumination light 16 is changed. At this time, the brightness of the entire periphery can be changed to change the setting to a brightness suitable for acquiring an image of the subject.

【0031】また、照明ライト16を上下、左右など移
動調整して照明位置や照明角度を変えて画像を取得す
る。この場合は、画像取得条件そのものが前回に比べて
大きく変化し、この結果、特定者18の身体的特徴量を
明確に取得できる。
The image is acquired by changing the illumination position and the illumination angle by adjusting the movement of the illumination light 16 such as up and down, left and right. In this case, the image acquisition condition itself changes greatly compared to the previous time, and as a result, the physical feature amount of the specific person 18 can be clearly acquired.

【0032】音声出力部27を制御する場合は、顔の表
情や人の向きを変えるなど人の所作行為を変えさせるよ
うにスピーカ17より音声案内する。この場合は、個人
毎に異なる本人特有の識別要素が得られ、この結果、特
定者18の身体的特徴量を明確にした画像が得られる。
When controlling the voice output unit 27, voice guidance is provided from the speaker 17 so as to change a person's actions such as changing a facial expression or a person's direction. In this case, an identification element unique to the individual that is different for each individual is obtained, and as a result, an image in which the physical features of the specific person 18 are clarified is obtained.

【0033】この他、画像取得条件変更機能としてコン
トローラ21は、特定不明原因となった前回の画像取得
条件の中から最も有効に変更要素が得られる画像取得条
件を推定し、この推定した画像取得条件になるようにカ
メラ制御部25、照明制御部26、音声出力部27の一
つ、あるいはその複数を変更制御する。
In addition, as an image acquisition condition changing function, the controller 21 estimates an image acquisition condition that enables the changed element to be obtained most effectively from the previous image acquisition conditions that have caused the uncertainty. One or more of the camera control unit 25, the illumination control unit 26, and the audio output unit 27 are changed and controlled so as to satisfy the condition.

【0034】例えば、画像データから特徴量を抽出する
ときに、取得画像の濃度差、顔の向き、傾き度合い等の
様々な識別要素に基づいて、撮像カメラ12を修正方向
に一定量移動させたり、照明ライト16を修正方向に一
定量移動調整したり、スピーカ17より顔の表情や人の
向きを変えさせるように所作行為を音声案内させればよ
い。これにより、再識別に最も適した画像取得条件に設
定変更して再画像を取得することができる。
For example, when extracting a characteristic amount from image data, the imaging camera 12 is moved in a correction direction by a fixed amount based on various identification factors such as a density difference of an acquired image, a face direction, a degree of inclination, and the like. It is only necessary to move and adjust the illumination light 16 in the correction direction by a fixed amount, or to provide voice guidance of the act of acting so as to change the facial expression or the direction of the person from the speaker 17. As a result, it is possible to change the setting to the image acquisition condition most suitable for the re-identification and acquire the re-image.

【0035】このような画像取得条件変更機能を働かせ
ることにより、再識別時の識別に適した身体的特徴量の
画像を確実に取得することができるため識別成功率が向
上し、また再識別時に近似する画像を繰返し取得するこ
とによる無駄な再識別の繰返しが解消されて識別処理時
間の短縮を図ることができる。
By operating such an image acquisition condition changing function, it is possible to reliably acquire an image of a physical characteristic amount suitable for identification at the time of re-identification, so that the identification success rate is improved. Useless re-identification repetition due to repeatedly acquiring an approximate image is eliminated, and the identification processing time can be reduced.

【0036】ところで、データベース24には予め特定
した特定者固有の顔の特徴量を登録しておき、これを照
合確認データに用い、撮像カメラ12で顔情報を取得す
る毎に、その顔の特徴量を比較照合して本人か否かを判
定する。
By the way, in the database 24, the face characteristic amount specified in advance and specified by the specific person is registered, and this is used as the collation confirmation data. The amount is compared and collated to determine whether or not the person is the principal.

【0037】図3は本人特定装置の類似度判定処理動作
を示し、撮像カメラ12から顔情報を取得した生画像を
一旦画像メモリ31に蓄積する。この蓄積した生画像か
ら顔検出部32で顔領域の検索を行って、撮像した顔領
域を検出する。ここでは、顔とその周辺の概略を検出
し、この顔領域の検出手法に際しては、 1.背景画像と取得画像の差を抽出する背景差分手法 2.カラーを用いた肌色検出手法 3.オプチカルフローやフレーム差分を用いた動き検出
手法 4.顔らしさをニューラルネットワークやパターンマッ
チングによって求める手法 のいずれかを用いて顔領域を検出する。
FIG. 3 shows a similarity determination processing operation of the personal identification device, and a raw image obtained by acquiring face information from the imaging camera 12 is temporarily stored in the image memory 31. The face area is searched by the face detection unit 32 from the accumulated raw image, and the captured face area is detected. Here, the outline of the face and its surroundings is detected. 1. Background subtraction method for extracting the difference between the background image and the acquired image 2. Skin color detection method using color 3. Motion detection method using optical flow and frame difference The face region is detected by using either the neural network or the method of finding the face by pattern matching.

【0038】この顔領域を検出した後、顔位置検出部3
3で目、鼻、口…等の特徴モデルを元にマッチングによ
って顔の位置を正確に検出する。顔の位置を正確に検出
して位置決めすると、顔特徴抽出部34で顔画像から切
出された顔特徴量を抽出する。この顔特徴量は平均顔と
の差を主成分分析等の統計的手法を用いて抽出するか、
あるいは目、鼻、口…等の濃淡画像からテンプレートマ
ッチングにより抽出する。この抽出された顔特徴量と、
データベース24に予め登録された特徴メモリとを類似
度判定部35で比較照合して顔情報の類似度を判定す
る。
After detecting this face area, the face position detection unit 3
In step 3, the position of the face is accurately detected by matching based on the feature model of the eyes, nose, mouth, etc. When the position of the face is accurately detected and positioned, the face feature extraction unit 34 extracts the face feature amount extracted from the face image. This facial feature is calculated by extracting the difference from the average face using a statistical method such as principal component analysis,
Alternatively, it is extracted from a gray image such as eyes, nose, mouth, etc. by template matching. This extracted face feature amount,
The similarity determination unit 35 compares and matches the feature memory previously registered in the database 24 to determine the similarity of the face information.

【0039】この場合、コントローラ21は本人を特定
するための判断基準となるスレッショルダレベルを設定
しており、入力された画像データから求めた顔の特徴量
と登録データの特徴量とを照合したときの類似度値を算
出し、この値がスレッショルダレベルより高ければ本人
と特定し、低ければ他人あるいは未登録者と判定する。
In this case, the controller 21 has set a threshold level as a criterion for identifying the person, and has collated the feature amount of the face obtained from the input image data with the feature amount of the registered data. The similarity value at that time is calculated, and if this value is higher than the threshold level, the person is specified, and if the value is lower than the threshold level, the person is determined to be another person or an unregistered person.

【0040】このように構成された本人特定装置11の
識別処理動作を図4に示すフローチャートを参照して説
明する。 今、撮像カメラ12から顔の画像データを
取得すると、その画像データから顔領域の検索を行っ
て、撮像した顔領域を検出し(ステップn1 〜n2 )、
この顔領域を検出した後、目、鼻、口…等の特徴から顔
の位置を正確に検出して位置決めすると、この顔画像か
ら顔特徴量を抽出する(ステップn3 〜n4 )。
The identification processing operation of the personal identification device 11 thus configured will be described with reference to the flowchart shown in FIG. Now, when face image data is acquired from the imaging camera 12, a search for a face area is performed from the image data to detect a captured face area (steps n1 to n2).
After the face area is detected, if the position of the face is accurately detected and positioned based on features such as eyes, nose, mouth, etc., the face feature amount is extracted from the face image (steps n3 to n4).

【0041】この抽出された顔特徴量と、予め登録され
た特徴量とを比較照合して類似度を求め(ステップn5
〜n6 )、類似度がスレッショルダレベル以上のときは
特定者と認めて、識別処理が終了する(ステップn7
)。
The extracted face feature amount is compared with a pre-registered feature amount to obtain a similarity (step n5).
To n6), when the similarity is equal to or higher than the threshold level, the person is recognized as a specific person, and the identification processing ends (step n7).
).

【0042】ところで、顔画像から顔特徴量を抽出した
とき、撮像カメラ12で撮像したときの画像取得条件、
照明ライト16で照明したときの照明条件、スピーカ1
7で所作行為を音声案内した場合はその音声案内条件
を、識別条件のパラメータとして取込み(ステップn8
)、識別エラーと判定されたときに、コントローラ2
1が再識別に適したパラメータを選択し、この選択した
パラメータの条件をコントローラ21が設定変更して再
識別する(ステップn9 〜n10)。
By the way, when the face feature amount is extracted from the face image, the image acquisition conditions when the image is taken by the image taking camera 12,
Illumination conditions when illuminated by illumination light 16, speaker 1
When the act is voice-guided in step 7, the voice guidance condition is taken in as a parameter of the identification condition (step n8).
), When the identification error is determined, the controller 2
1 selects a parameter suitable for re-identification, and the controller 21 changes the setting of the condition of the selected parameter and re-identifies (steps n9 to n10).

【0043】例えば、図5に示すように、1回目の画像
取得時に、傾いた顔の入力画像のために識別不能なエラ
ーが発生した場合は、正規の正面顔の画像が得られるよ
うに撮像カメラ12を移動調整することが、再識別する
ときに最も有効な画像取得条件となるパラメータと判定
し、これに基づいてコントローラ21は撮像カメラ12
の向きを修正して正面顔を得られるように再識別処理を
実行する。これにより、2回目の画像取得時には正面顔
に近い入力画像を取得することができ、この正面顔の画
像を取得することによって識別確率が高まり、特定者を
明確に区別して識別することができる。
For example, as shown in FIG. 5, when an indistinguishable error occurs due to an input image of a tilted face at the time of the first image acquisition, an image of a normal frontal face is obtained. It is determined that adjusting the movement of the camera 12 is a parameter that is the most effective image acquisition condition at the time of re-identification.
Is re-identified so as to obtain a frontal face by correcting the orientation of the image. Thus, at the time of the second image acquisition, an input image close to the front face can be acquired, and by acquiring the image of the front face, the identification probability is increased, and the specific person can be clearly distinguished and identified.

【0044】また、図6に示すように、1回目の画像取
得時に、顔の左半分が暗くなった入力画像のために識別
不能なエラーが発生した場合は、正規の均一な照明が得
られるように照明ライト16を移動調整することが、再
識別するときに最も有効な画像取得条件となるパラメー
タと判定し、これに基づいてコントローラ21は照明ラ
イト16の向きを修正して均一な照明が得られるように
再識別処理を実行する。これにより、2回目の画像取得
時には識別の判定に適した均一な明るさの入力画像を取
得することができ、この適切な明るさの画像を取得する
ことによって識別確率が高まる。従って、数回の識別処
理動作で特定者を確実に識別することができる。
As shown in FIG. 6, when an unidentifiable error occurs at the time of the first image acquisition because of an input image in which the left half of the face is dark, regular uniform illumination can be obtained. It is determined that adjusting the movement of the illumination light 16 is a parameter that is the most effective image acquisition condition at the time of re-identification, and the controller 21 corrects the direction of the illumination light 16 based on the parameter to obtain uniform illumination. The re-identification process is executed so as to obtain the same. Thus, at the time of the second image acquisition, an input image with uniform brightness suitable for identification determination can be acquired, and by acquiring the image with appropriate brightness, the identification probability increases. Therefore, a specific person can be reliably identified by several times of the identification processing operation.

【0045】上述のように、再画像取得時には身体的特
徴量の画像取得データが前回と異なるように再画像取得
条件を変更して取得するため、再識別処理時の識別処理
画像は前回と今回とで大きく異なり、前回の識別要素が
不足していた画像取得条件そのものが改善されて身体的
特徴量を明確にして取得できる。この結果、再識別時の
識別成功率が向上し、また無駄な再識別の繰返しが解消
されて識別処理時間の短縮が図れる。また、識別に適し
た個人毎に明瞭に異なる顔画像を識別要素にする他、身
体付きなど身体的特徴量を識別要素にすることもでき
る。
As described above, at the time of re-image acquisition, since the image acquisition data of the physical characteristic amount is acquired by changing the re-image acquisition conditions so as to be different from the previous time, the identification processing images at the time of the re-identification processing are the previous and current images. The image acquisition condition itself, in which the previous discrimination element was insufficient, is improved, and the physical feature amount can be clarified and acquired. As a result, the identification success rate at the time of re-identification is improved, and unnecessary re-identification repetition is eliminated, so that the identification processing time can be reduced. Further, in addition to using a face image that is clearly different for each individual suitable for identification as an identification element, a physical feature such as with a body can be used as an identification element.

【0046】この発明と、上述の一実施例の構成との対
応において、この発明の画像取得手段は、実施例の撮像
カメラ12に対応し、以下同様に、記憶手段は、データ
ベース24に対応し、画像取得条件変更手段、推定手段
及び変更制御手段は、コントローラ21に対応し、照明
制御手段は、照明ライト16及び照明制御部26に対応
し、露光時間制御手段は、撮像カメラ12及びカメラ制
御部25に対応し、所作行為案内手段は、スピーカ17
及び音声出力部27に対応するも、この発明は、請求項
に示される技術思想に基づいて応用することができ、上
述の一実施例の構成のみに限定されるものではない。
In the correspondence between the present invention and the configuration of the above-described embodiment, the image acquiring means of the present invention corresponds to the imaging camera 12 of the embodiment, and similarly, the storage means corresponds to the database 24. The image acquisition condition changing means, the estimation means and the change control means correspond to the controller 21, the illumination control means corresponds to the illumination light 16 and the illumination control unit 26, and the exposure time control means corresponds to the imaging camera 12 and the camera control. Corresponding to the unit 25, the action guidance means is a speaker 17
The present invention can be applied based on the technical idea described in the claims, and is not limited to the configuration of the above-described embodiment.

【図面の簡単な説明】[Brief description of the drawings]

【図1】 この発明の本人特定装置の使用状態を示す概
略側面図。
FIG. 1 is a schematic side view showing a use state of a personal identification device of the present invention.

【図2】 この発明の本人特定装置の制御回路ブロック
図。
FIG. 2 is a control circuit block diagram of the personal identification device of the present invention.

【図3】 この発明の本人特定装置の顔情報の類似度判
定処理動作を示す説明図。
FIG. 3 is an explanatory diagram showing a similarity determination processing operation of face information of the personal identification device of the present invention.

【図4】 この発明の本人特定装置の識別処理動作を示
すフローチャート。
FIG. 4 is a flowchart showing an identification processing operation of the personal identification device of the present invention.

【図5】 この発明の撮像カメラの向きを修正した画像
取得条件変更動作を示す説明図。
FIG. 5 is an explanatory diagram showing an image acquisition condition changing operation in which the direction of the imaging camera according to the present invention is corrected.

【図6】 この発明の照明ライトの向きを修正した画像
取得条件変更動作を示す説明図。
FIG. 6 is an explanatory diagram showing an image acquisition condition changing operation in which the direction of the illumination light is corrected according to the present invention.

【符号の説明】[Explanation of symbols]

11…本人特定装置 12…撮像カメラ 16…照明ライト 17…スピーカ 18…特定者 21…コントローラ 22…画像入力部 23…識別処理部 24…データベース 25…カメラ制御部 26…照明制御部 27…音声出力部 DESCRIPTION OF SYMBOLS 11 ... Personal identification apparatus 12 ... Imaging camera 16 ... Illumination light 17 ... Speaker 18 ... Specific person 21 ... Controller 22 ... Image input part 23 ... Identification processing part 24 ... Database 25 ... Camera control part 26 ... Lighting control part 27 ... Audio output Department

Claims (7)

【特許請求の範囲】[Claims] 【請求項1】人の身体的特徴量を画像取得手段より取得
し、この取得した身体的特徴量と記憶手段が記憶する予
め特定した特定者の身体的特徴量との類似度から本人を
特定する本人特定装置であって、上記画像取得手段の再
画像取得時に、身体的特徴量の再画像取得結果を前回と
異ならせるための再画像取得条件変更手段を備えた本人
特定装置。
1. A method for acquiring a physical characteristic of a person from an image acquiring means, and identifying the person from the similarity between the acquired physical characteristic and a physical characteristic of a specific person specified in advance stored in a storage means. A personal identification device, comprising: a re-image acquisition condition changing unit configured to make a re-image acquisition result of a physical characteristic amount different from a previous image at the time of re-image acquisition by the image acquisition unit.
【請求項2】人の顔画像を画像取得手段より取得し、こ
の取得した顔画像と記憶手段が記憶する予め特定した特
定者の顔画像との類似度から本人を特定する本人特定装
置であって、上記画像取得手段の再画像取得時に、顔画
像の再画像取得結果を前回と異ならせるための再画像取
得条件変更手段を備えた本人特定装置。
2. An identification apparatus for acquiring a face image of a person from an image acquisition means, and identifying the person based on a similarity between the acquired face image and a face image of a specified person stored in advance in a storage means. A personal identification device comprising a re-image acquisition condition changing means for making a re-image acquisition result of a face image different from a previous image at the time of re-image acquisition by the image acquisition means.
【請求項3】再画像取得条件変更手段は、光量を変更制
御する照明制御手段であることを特徴とする請求項1ま
たは2記載の本人特定装置。
3. The personal identification device according to claim 1, wherein the re-image acquisition condition changing means is an illumination control means for changing and controlling a light amount.
【請求項4】再画像取得条件変更手段は、画像取得手段
の露光時間を変更制御する露光時間制御手段であること
を特徴とする請求項1または2記載の本人特定装置。
4. The personal identification device according to claim 1, wherein the re-image acquisition condition changing means is an exposure time control means for changing and controlling an exposure time of the image acquisition means.
【請求項5】再画像取得条件変更手段は、照明制御手
段、画像取得手段の少なくとも一つを移動調整する移動
調整制御手段であることを特徴とする請求項1、2また
は3記載の本人特定装置。
5. The personal identification according to claim 1, wherein the re-image acquisition condition changing means is a movement adjustment control means for moving and adjusting at least one of the illumination control means and the image acquisition means. apparatus.
【請求項6】再画像取得条件変更手段は、顔の表情や人
の向きを変えさせる所作行為案内手段を備えたことを特
徴とする請求項1または2記載の本人特定装置。
6. The personal identification device according to claim 1, wherein the re-image acquisition condition changing means includes an action guiding means for changing a facial expression and a direction of a person.
【請求項7】 再画像取得条件変更手段は、本人を特定
できない特定不明原因となった画像取得条件の中から最
も有効に変更要素が得られる画像取得条件を推定する推
定手段と、上記推定手段で推定した画像取得条件に変更
制御する変更制御手段とを備えた請求項1または2記載
の本人特定装置。
7. A re-imaging condition changing means for estimating an image obtaining condition for obtaining a changed element most effectively from image obtaining conditions which have caused an unidentified person who cannot identify a person, and the estimating means 3. The personal identification device according to claim 1, further comprising: a change control unit configured to change and control the image acquisition condition estimated in the step (c).
JP12323198A 1998-05-06 1998-05-06 Personal identification device Expired - Fee Related JP3580129B2 (en)

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