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JPH01273198A - Image monitoring device - Google Patents

Image monitoring device

Info

Publication number
JPH01273198A
JPH01273198A JP10179088A JP10179088A JPH01273198A JP H01273198 A JPH01273198 A JP H01273198A JP 10179088 A JP10179088 A JP 10179088A JP 10179088 A JP10179088 A JP 10179088A JP H01273198 A JPH01273198 A JP H01273198A
Authority
JP
Japan
Prior art keywords
area
region
average value
value
values
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.)
Pending
Application number
JP10179088A
Other languages
Japanese (ja)
Inventor
Masami Hisada
久田 正美
Satoshi Furukawa
聡 古川
Chikao Matsuo
至生 松尾
Tei Satake
禎 佐竹
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.)
Panasonic Electric Works Co Ltd
Original Assignee
Matsushita Electric Works 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.)
Filing date
Publication date
Application filed by Matsushita Electric Works Ltd filed Critical Matsushita Electric Works Ltd
Priority to JP10179088A priority Critical patent/JPH01273198A/en
Publication of JPH01273198A publication Critical patent/JPH01273198A/en
Pending legal-status Critical Current

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Abstract

PURPOSE:To detect whether or not there is an intruder without any malfunction by judging whether or not the intruder, etc., is present by using a threshold value corresponding to the area of each monitor area divided for the output of an area-classified binarizing means. CONSTITUTION:An area-classified variation detecting means 7 finds the difference in brightness value between reference images from a current image storage means 3 and a reference image storage means 6, calculates the sum of the absolute values of difference of respective areas by using stored division area information and threshold values by the areas, and compares the sum with the threshold values by the areas to detect variation. An area-classified mean value arithmetic means 8 finds the mean values of current images by the areas where there is variation and an area-classified mean value subtracting means 9 subtracts the mean values from the brightness values of the current value by the areas. Then an area-classified binarizing means 10 converts the subtraction results into binary values to extract effective picture elements and a decision means 11 compares the number of the effective picture elements with the threshold values by the areas to decide whether or not there is an intruder. Consequently, the presence/absence state of the intruder is detected without any malfunction.

Description

【発明の詳細な説明】 〔産業上の利用分野〕 本発明は、テレビカメラ等の撮像装置を用い、現画像を
基準画像と比較することにより、侵入者等の有無を検出
するようにした画像監視装置に関するものである。
[Detailed Description of the Invention] [Industrial Application Field] The present invention provides an image capturing device such as a television camera to detect the presence or absence of an intruder by comparing the current image with a reference image. This invention relates to a monitoring device.

〔従来の技術〕[Conventional technology]

従来のこの種の装置を、第2図に示す。 A conventional device of this type is shown in FIG.

テレビカメラ等の撮像手段lからの画像信号は、A/D
変換手段2によりサンプリングされるとともにデジタル
化され、現画像蓄積手段3に記憶された現画像と基準画
像蓄積手段6に予め記憶された背景画像等の基準画像と
の差分画像を差画像蓄積手段12により求めるとともに
記憶し、2(1化手段13により、この差分画像の画素
毎の輝度値を所定の闇値を用いて無効データと有効デー
タとに分離し、判定手段11により、前記有効データの
数の変化から監視領域内への侵入者等を検出するという
ものであった(特開昭57−160282号)。
The image signal from the imaging means l such as a television camera is A/D
The difference image storage means 12 generates a difference image between the current image sampled and digitized by the conversion means 2 and stored in the current image storage means 3 and a reference image such as a background image stored in advance in the reference image storage means 6. 2 (The unification means 13 separates the brightness value of each pixel of this difference image into invalid data and valid data using a predetermined darkness value, and the determination means 11 determines the brightness value of the valid data. The idea was to detect intruders into the monitoring area based on changes in the number (Japanese Patent Laid-Open No. 160282/1982).

しかしながら、このような装置では、日照の変化等によ
り監視領域のある場所に輝度変化が起こると、例えば侵
入者が存在する等の異常が起こらなくても、基準画像と
の輝度差が所定の闇値を越える画素数が所定値を越えて
しまい誤報を発してしまうことになるため、窓の近傍等
の照度の変化のある所では実用的ではなく、照明の安定
した屋内でしか使用できないという問題点があった。
However, in such a device, if a change in brightness occurs in a certain area of the monitoring area due to a change in sunlight, the difference in brightness from the reference image will change to a certain darkness even if there is no abnormality such as the presence of an intruder. The problem is that the number of pixels exceeding the specified value will exceed the predetermined value and issue a false alarm, so it is not practical in places where the illuminance changes, such as near windows, and can only be used indoors with stable lighting. There was a point.

上記の問題点を改善するために、一定時間毎に基準画像
を更新することにより、照度の変化に対応するという方
法が考案されている。
In order to improve the above-mentioned problems, a method has been devised in which the reference image is updated at regular intervals to cope with changes in illuminance.

〔発明が解決しようとする課題〕[Problem to be solved by the invention]

ところが、この方法では、基準画像の更新時間と比較し
て、照度変化が速い場合には対応できず、監視領域への
侵入者と照度変化の識別は、依然として十分にはできな
いという問題点があった。
However, this method cannot handle cases where the illuminance changes quickly compared to the update time of the reference image, and there is still a problem that it is still not possible to sufficiently identify intruders into the monitoring area and illuminance changes. Ta.

本発明は上記の点に鑑みてなしたものであり、その目的
とするところは、監視領域内の照度の急激な変化に対し
ても、誤動作することなく、侵入者等の有無を検出でき
る画像監視装置を提供することにある。
The present invention has been made in view of the above points, and its purpose is to provide an image that can detect the presence or absence of an intruder without malfunctioning even in the event of sudden changes in illuminance within a monitoring area. The objective is to provide a monitoring device.

〔課題を解決するための手段〕[Means to solve the problem]

本発明の画像監視装置は、監視領域を撮影する撮像手段
と、該撮像手段から出力される画像信号をサンプリング
するとともにA/D変換するA/D変換手段と、該A/
D変換手段から出力される現画像を逐次記憶する現画像
蓄積手段と、前記監視領域の正常状態を表す基準画像を
記憶する基準画像蓄積手段と、前記監視領域を各画素の
輝度の時間変化の相関によって領域を分割するとともに
分割した領域毎にその面積に応じた閾値を設定する領域
分割手段と、前記領域分割情報および閾値を記憶する領
域分割情報蓄積手段と、前記領域毎の現画像の輝度値の
平均値を求める領域別平均値演算手段と、領域毎に現画
像の輝度値から前記平均値を減算する領域別平均値減算
手段と、前記領域別平均値減算手段の出力に対して領域
毎に2値化する領域別2値化手段と、該領域別2値化手
段の出力に対して前記闇値により侵入者等のを無を判断
する判定手段とからなることを特徴とするものである。
The image monitoring device of the present invention includes: an imaging means for photographing a monitoring area; an A/D conversion means for sampling and A/D converting an image signal output from the imaging means;
current image storage means for sequentially storing the current image output from the D conversion means; reference image storage means for storing a reference image representing the normal state of the monitoring area; A region dividing means that divides a region based on correlation and sets a threshold according to the area of each divided region; a region division information storage means that stores the region division information and the threshold; and a brightness of the current image for each region. area-based average value calculation means for calculating the average value of the values; area-based average value subtraction means for subtracting the average value from the brightness value of the current image for each area; and a determination means for determining whether there is an intruder or the like based on the darkness value of the output of the region-specific binarization means. It is.

〔作用〕[Effect]

領域分割手段により、監視領域を輝度の時間的変化の相
関の類似した領域に分割し、現画像と基準画像との差分
画像に対して、各領域毎の輝度の平均値を求め、現画像
の輝度値から前記平均値を減算し、その結果に対して領
域毎に2値化をすることにより有効画素を求め、その数
を各領域の面積に比例した閾値と比較することにより、
侵入者等の有無を判定する。
The area dividing means divides the monitoring area into areas with similar correlations in temporal changes in brightness, calculates the average value of brightness for each area for the difference image between the current image and the reference image, and calculates the average value of the brightness for each area. By subtracting the average value from the luminance value and binarizing the result for each region, effective pixels are obtained, and by comparing the number with a threshold proportional to the area of each region,
Determine whether there is an intruder, etc.

〔実施例〕〔Example〕

以下、本発明の一実施例を図面に基づき説明する。 Hereinafter, one embodiment of the present invention will be described based on the drawings.

第1図は、本発明の一実施例を示すブロック図である。FIG. 1 is a block diagram showing one embodiment of the present invention.

1はテレビカメラ等の撮像手段で、監視領域を撮像し画
像信号を出力するものである。2はA/D変換手段で、
前記画像信号をサンプリングするとともにデジタル化す
るものである。3は現画像蓄積手段で、A/D変換手段
2から出力されるデジタル化された現画像を逐次記憶す
る。
Reference numeral 1 denotes an imaging means such as a television camera, which takes an image of the monitoring area and outputs an image signal. 2 is an A/D conversion means,
The image signal is sampled and digitized. Reference numeral 3 denotes a current image storage means for sequentially storing the digitized current image output from the A/D conversion means 2.

4は領域分割手段で、監視領域を各画素の輝度の時間変
化の相関の類似した小領域に分割するものである。つま
り、例えば、予め1日程度監視領域を監視し、各画素の
輝度値の1日の時間変化を調べ、同じような変わり方を
する領域を分割するのである。更に、分割した領域毎に
、その領域の面積の大きさに比例した閾値を求める機能
も有しているのである。この閾値は、輝度に対するもの
と画素数に対するものとがあり、前者は後・述の領域別
変化検知手段での闇値として用いられ、後者は後述の判
定手段での閾値として用いられる。
Reference numeral 4 denotes a region dividing means which divides the monitoring region into small regions having similar correlations in time change in brightness of each pixel. That is, for example, the monitoring area is monitored for about one day in advance, the changes in the brightness value of each pixel over the course of the day are checked, and areas that change in the same way are divided. Furthermore, it has a function of determining a threshold value proportional to the area of each divided region. There are two types of threshold values: one for brightness and the other for the number of pixels; the former is used as a darkness value in the region-by-region change detection means described later, and the latter is used as a threshold value in the determination means described later.

5は領域分割情報蓄積手段で、領域分割手段4で求めら
れた分割領域の情報および領域別の閾値を記憶してお(
,6は基準画像蓄積手段で、監視領域の正常状態を表す
基準画像を記憶しておくものである。
Reference numeral 5 denotes a region division information storage means, which stores information on the divided regions obtained by the region division means 4 and threshold values for each region (
, 6 is a reference image storage means for storing reference images representing the normal state of the monitoring area.

7は領域別変化検知手段で、現画像蓄積手段3からの現
画像と基準画像蓄積手段6からの基準画像との輝度値の
差分を求め、領域分割情報蓄積手段5に記憶された分割
領域情報と領域別閾値を用いて、領域毎の前記差分の絶
対値の和をとり、領域別の閾値と比較することにより、
変化検知を行う。
Reference numeral 7 denotes a change detection means for each region, which calculates the difference in luminance value between the current image from the current image storage means 3 and the reference image from the reference image storage means 6, and calculates the difference in luminance value between the current image from the current image storage means 3 and the reference image from the reference image storage means 6, and calculates the difference in the luminance value from the current image from the current image storage means 3 and the divided region information stored in the region division information storage means 5. By using the threshold value for each region and the sum of the absolute values of the differences for each region, and comparing it with the threshold value for each region,
Perform change detection.

8は領域別平均値演算手段で、領域別変化検知手段7に
より変化のあった領域に対して、領域毎の現画像の輝度
の平均値を求める。
Reference numeral 8 denotes an average value calculation means for each area, which calculates the average value of the brightness of the current image for each area for the area where the change detection means 7 for each area has changed.

9は領域別平均値減算手段で、領域毎に現画像の輝度値
から前記平均値を減算する。
Reference numeral 9 denotes an average value subtracting means for each area, which subtracts the average value from the brightness value of the current image for each area.

lOは領域別2値化手段で、領域別平均値減算手段9で
の減算結果に対して、2値化を行い、有効画素を抽出す
る。
IO is a region-by-area binarization means, which binarizes the subtraction result of the region-by-area average value subtraction means 9 and extracts effective pixels.

11は判定手段で、領域別2値化手段で得られた有効画
素の数を、前記領域毎の閾値と比較することにより侵入
者がいるか否かを判定する。
Determining means 11 determines whether or not there is an intruder by comparing the number of effective pixels obtained by the area-based binarization means with the threshold value for each area.

次に、本実施例の動作を説明する。Next, the operation of this embodiment will be explained.

撮像手段1により得られた画像信号は、A/D変換手段
2によりデジタル信号に変換され、現画像蓄積手段3に
記憶される。領域分割手段4では監視領域を各画素の輝
度の時間変化の相関の類似した小領域に分割するととも
に各領域毎の面積に比例した闇値を求めておく、これら
の情報は領域分割情報蓄積手段5に記憶される0wI域
別変化検知手段では、予め基準画像蓄積手段6に記憶さ
れた基準画像と現画像との輝度値の絶対値の差分を求め
、各領域毎にその差分値の和をとり、前記閾値を越えた
時、変化ありとする。
The image signal obtained by the imaging means 1 is converted into a digital signal by the A/D conversion means 2 and stored in the current image storage means 3. The area dividing means 4 divides the monitoring area into small areas having similar correlations in temporal changes in brightness of each pixel, and calculates a darkness value proportional to the area of each area.This information is stored in the area dividing information storage means. The 0wI area change detection means stored in the reference image storage means 5 calculates the difference in the absolute value of the luminance value between the reference image stored in the reference image storage means 6 in advance and the current image, and calculates the sum of the difference values for each area. When the threshold value is exceeded, it is determined that there is a change.

領域別平均値演算手段8では、変化ありとなった領域に
対して、現画像の輝度値の平均値を求め、領域別平均値
減算手段9により現画像の輝度値からこの平均値を減算
する。この減算結果に対して、領域別2値化手段10に
より2値化し、求まった有効画素の数を前記領域別の閾
値により侵入者がいるか否かを判定する。
The area-specific average value calculation means 8 calculates the average value of the brightness values of the current image for the area where there has been a change, and the area-specific average value subtraction means 9 subtracts this average value from the brightness value of the current image. . The result of this subtraction is binarized by the area-based binarization means 10, and it is determined whether or not there is an intruder based on the determined number of valid pixels using the area-based threshold value.

ここで、輝度値の時間変化の相関の類似した領域毎に、
その領域毎の輝度値の平均値を減算した結果を用いて2
値化し、侵入者の存在の判定をしているので、照明等の
変化により照度が変化した場合は、各領域では照度分布
が一様になり、平均値を減算すれば略ゼロになる。従っ
て、この減算結果に対して2値化しても有効画素はほと
んどでない。
Here, for each region with similar correlation of time changes in brightness values,
Using the result of subtracting the average brightness value for each area,
Since the presence of an intruder is determined by converting the value into a value, if the illuminance changes due to a change in illumination, etc., the illuminance distribution will be uniform in each area, and if the average value is subtracted, it will become approximately zero. Therefore, even if this subtraction result is binarized, there are almost no effective pixels.

一方、侵入者等があった場合は、平均値を減算しても、
侵入者のところでは、ゼロにはならないので、2硫化す
れば有効画素となる。
On the other hand, if there is an intruder, even if you subtract the average value,
Since it does not become zero at the intruder's location, it becomes an effective pixel when disulfide occurs.

なお、本発明においては、領域別変化検知手段7を省略
することができ、この場合は領域別平均値演算手段8で
現画像と基準画像との差分をとればよく、領域分割情報
等は直接領域別平均値演算手段8に入力される。
Note that in the present invention, the region-by-region change detection means 7 can be omitted, and in this case, the region-by-region average value calculation means 8 only needs to calculate the difference between the current image and the reference image, and the region division information etc. can be directly transmitted. It is input to the average value calculating means 8 for each region.

ただし、領域別変化検知手段7のある場合の方が、変化
のあった領域のみ平均値の算出および減算をすればよい
ので、演算量は少なくて済む。
However, in the case where the region-by-region change detection means 7 is provided, the amount of calculation can be reduced because it is only necessary to calculate and subtract the average value in the region where a change has occurred.

〔発明の効果〕〔Effect of the invention〕

本発明の画像監視装置は、監視領域を撮影する撮像手段
と、該撮像手段から出力される画像信号をサンプリング
するとともにA/D変換するA/D変換手段と、該A/
D変換手段から出力される現画像を逐次記憶する現画像
蓄積手段と、前記監視領域の正常状態を表す基準画像を
記憶する基準画像蓄積手段と、前記監視領域を各画素の
輝度の時間変化の相関によって領域を分割するとともに
分割した領域毎にその面積に応じた閾値を設定する領域
分割手段と、前記領域分割情報および闇値を記憶する領
域分割情報蓄積手段と、前記領域毎の現画像の輝度値の
平均値を求める領域別平均値演算手段と、領域毎に現画
像の輝度値から前記平均値を減算する領域別平均値減算
手段と、前記領域別平均値減算手段の出力に対して領域
毎に2値化する領域別2値化手段と、該領域別2値化手
段の出力に対して前記閾値により侵入者等の有無を判断
する判定手段とからなるようにしたので、監視領域内に
急激な照度の変化があっても、誤動作することなく、侵
入者等の有無を検出できる画像監視装置が提供できた。
The image monitoring device of the present invention includes: an imaging means for photographing a monitoring area; an A/D conversion means for sampling and A/D converting an image signal output from the imaging means;
current image storage means for sequentially storing the current image output from the D conversion means; reference image storage means for storing a reference image representing the normal state of the monitoring area; an area dividing means for dividing an area based on correlation and setting a threshold value according to the area of each divided area; an area dividing information storage means for storing the area dividing information and a darkness value; A region-by-region average value calculation means for calculating the average value of brightness values, a region-by-region average value subtraction means for subtracting the average value from the brightness value of the current image for each region, and an output of the region-by-region average value subtraction means. Since it is made up of an area-specific binarization means that binarizes each area, and a determination means that judges the presence or absence of an intruder based on the threshold value with respect to the output of the area-specific binarization means, the monitoring area An image monitoring device capable of detecting the presence or absence of an intruder without malfunctioning even if there is a sudden change in illumination inside the room has been provided.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図は、本発明の一実施例を示すブロック図、第2図
は、従来例を示すブロック図である。 1−・−撮像手段 2・・・−・A/D変換手段 3・・・・・現画像蓄積手段 4−・・−・領域別分割手段 5−・−領域分割情報蓄積手段 6−・−基準画像蓄積手段 7−領域別変化検知手段 8−・・領域別平均値演算手段 9−・−領域別平均値減算手段 1〇−領域別2値化手段 11・・−判定手段 特許出願人  松下電工株式会社 代理人    弁理士 竹光 散光(ほか2名)第1図
FIG. 1 is a block diagram showing one embodiment of the present invention, and FIG. 2 is a block diagram showing a conventional example. 1--Imaging means 2--A/D conversion means 3--Current image storage means 4--Region division means 5--Region division information storage means 6-- Reference image storage means 7 - Area change detection means 8 - Area average value calculation means 9 - Area average value subtraction means 10 - Area binarization means 11 - Judgment means Patent applicant Matsushita Denko Co., Ltd. Agent Patent Attorney Takemitsu Sanko (and 2 others) Figure 1

Claims (1)

【特許請求の範囲】[Claims] (1)監視領域を撮影する撮像手段と、該撮像手段から
出力される画像信号をサンプリングするとともにA/D
変換するA/D変換手段と、該A/D変換手段から出力
される現画像を逐次記憶する現画像蓄積手段と、前記監
視領域の正常状態を表す基準画像を記憶する基準画像蓄
積手段と、前記監視領域を各画素の輝度の時間変化の相
関によって領域を分割するとともに分割した領域毎にそ
の面積に応じた閾値を設定する領域分割手段と、前記領
域分割情報および閾値を記憶する領域分割情報蓄積手段
と、前記領域毎の現画像の輝度値の平均値を求める領域
別平均値演算手段と、領域毎に現画像の輝度値から前記
平均値を減算する領域別平均値減算手段と、前記領域別
平均値減算手段の出力に対して領域毎に2値化する領域
別2値化手段と、該領域別2値化手段の出力に対して前
記閾値により侵入者等の有無を判断する判定手段とから
なる画像監視装置。
(1) Imaging means for photographing the monitoring area, sampling the image signal output from the imaging means, and A/D
A/D conversion means for converting, current image storage means for sequentially storing current images output from the A/D conversion means, and reference image storage means for storing a reference image representing a normal state of the monitoring area; area dividing means that divides the monitoring area based on the correlation of temporal changes in brightness of each pixel and sets a threshold value according to the area of each divided area; and area dividing information that stores the area dividing information and the threshold value; an accumulation means, an average value calculation means for each area for calculating an average value of the brightness values of the current image for each area, an average value subtraction means for each area for subtracting the average value from the brightness value of the current image for each area; region-specific binarization means for binarizing the output of the region-specific average value subtraction means for each region; and determination for determining the presence or absence of an intruder based on the threshold value for the output of the region-specific binarization means. An image monitoring device comprising means.
JP10179088A 1988-04-25 1988-04-25 Image monitoring device Pending JPH01273198A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP10179088A JPH01273198A (en) 1988-04-25 1988-04-25 Image monitoring device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP10179088A JPH01273198A (en) 1988-04-25 1988-04-25 Image monitoring device

Publications (1)

Publication Number Publication Date
JPH01273198A true JPH01273198A (en) 1989-11-01

Family

ID=14309963

Family Applications (1)

Application Number Title Priority Date Filing Date
JP10179088A Pending JPH01273198A (en) 1988-04-25 1988-04-25 Image monitoring device

Country Status (1)

Country Link
JP (1) JPH01273198A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0749098A2 (en) * 1995-05-17 1996-12-18 Hitachi Denshi Kabushiki Kaisha Method and apparatus for sensing object located within visual field of imaging device

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0749098A2 (en) * 1995-05-17 1996-12-18 Hitachi Denshi Kabushiki Kaisha Method and apparatus for sensing object located within visual field of imaging device
EP0749098A3 (en) * 1995-05-17 1999-06-09 Hitachi Denshi Kabushiki Kaisha Method and apparatus for sensing object located within visual field of imaging device
US6088468A (en) * 1995-05-17 2000-07-11 Hitachi Denshi Kabushiki Kaisha Method and apparatus for sensing object located within visual field of imaging device

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