JP2007318674A - Monitoring camera apparatus - Google Patents

Monitoring camera apparatus Download PDF

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JP2007318674A
JP2007318674A JP2006148757A JP2006148757A JP2007318674A JP 2007318674 A JP2007318674 A JP 2007318674A JP 2006148757 A JP2006148757 A JP 2006148757A JP 2006148757 A JP2006148757 A JP 2006148757A JP 2007318674 A JP2007318674 A JP 2007318674A
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JP4702184B2 (en
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Hiroshi Matsuda
啓史 松田
Toshiharu Takenouchi
利春 竹ノ内
Tadahiro Arakawa
忠洋 荒川
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Panasonic Electric Works Co Ltd
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Matsushita Electric Works Ltd
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Abstract

<P>PROBLEM TO BE SOLVED: To provide a monitoring camera apparatus for preventing an object that corresponds to a mask region and is not detected from being detected erroneously even if the object moves out of the mask region. <P>SOLUTION: Even if the object moves in the mask region MA, an image processing section 40 of an image sensor 4 does not output any detection information when the object does not move from the position of the mask region MA by prescribed distance. More specifically, even if a tree Tr in the mask region MA is swung by wind, or the like and then is forced out of the mask region MA, a risk is reduced, where the image sensor 4 erroneously detects the movement of the projection part of the tree Tr as a moving object. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

本発明は、インターホン装置等に付加するセンサ付きの監視カメラ装置に関するものである。   The present invention relates to a monitoring camera device with a sensor added to an interphone device or the like.

昨今の防犯意識の向上により、来訪者の顔を確認できる又は不在時の来訪者の顔を録画できる等の便利性が評価され、住宅向けのドアホンカメラシステムが普及している。また普及に伴い住宅への侵入の未然防止を目的として監視カメラを端末として追加してシステムアップを図り、住宅周辺の警戒が行えるドアホンカメラシステムも提供されてきている。   Due to recent improvements in crime prevention awareness, convenience such as being able to confirm the face of a visitor or recording the face of a visitor when absent is evaluated, and a door phone camera system for residential use has become widespread. In addition, with the widespread use, door phone camera systems have been provided in which surveillance cameras are added as terminals for the purpose of preventing intrusion into houses, and the system is improved so that the surrounding area can be warned.

図4はその一例の概略図を示しており、この図示例では、住宅Hの門Gに設置したカメラ付きドアホン子器100と住宅H内に設置したドアホン親器101との間でインターホンとしての通話とともにドアホン子器100のカメラで捉えた来訪者の画像をドアホン親器101のモニタ装置Mでモニタするとともに当該画像を録画できるようになっているドアホンシステムにおいて、例えば住宅Hの外壁に人検知用センサ付きの監視カメラ装置102を取り付け、人検知用センサが敷地103内の侵入者を検知すると、その検知情報及び監視カメラ装置102の撮像カメラで撮像した画像をドアホン親器101へ送って、モニタ装置Mでその画像を映し出すとともにドアホン親器101に備わった報知装置での発報を行う一方、監視カメラ装置102に設けてある照明装置104を点灯させて侵入者に威嚇を与えるようになっている。   FIG. 4 shows an example of the schematic diagram. In this illustrated example, an interphone between a doorphone with a camera 100 installed at a gate G of a house H and a doorphone master 101 installed in the house H is used as an interphone. In a doorphone system in which an image of a visitor captured by a camera of the doorphone slave unit 100 as well as a call is monitored by the monitor device M of the doorphone master unit 101 and the image can be recorded, for example, a person is detected on the outer wall of the house H When the surveillance camera device 102 with the sensor for sensor is attached and the human detection sensor detects the intruder in the site 103, the detection information and the image captured by the imaging camera of the surveillance camera device 102 are sent to the door phone master unit 101. The monitoring device M displays the image on the monitor device M and issues a notification on the notification device provided in the door phone master unit 101. 02 by turning the illumination device 104 is provided adapted to provide a threat to the intruder.

この監視カメラ装置102に設ける人検知用センサとしては、人体から発せられる熱線(赤外線)を検出することで人を検知する熱線センサや監視カメラ装置102の撮像カメラで撮像した画像から人を検知する画像センサがある。   As a human detection sensor provided in the monitoring camera apparatus 102, a human is detected from a heat ray sensor that detects a person by detecting a heat ray (infrared ray) emitted from a human body or an image captured by an imaging camera of the monitoring camera apparatus 102. There is an image sensor.

ところで画像センサは、検知対象である侵入者の位置を知ることができるため、例えば風等によって揺れ、移動する物体(侵入者)と誤検知され易い樹木が植えられている領域をマスク領域とし、当該マスク領域内に風等で揺れる樹木が存在しても警報を発しないようにすることができるものの、影や光の変化を移動物体(侵入者)として検知し、警報を発してしまう弱点がある。   By the way, since the image sensor can know the position of the intruder that is the detection target, for example, the area where the tree that is easily misdetected as a moving object (intruder) is shaken by the wind or the like is set as a mask area. Although it is possible to prevent the alarm from being generated even if there is a tree swaying in the mask area due to wind, etc., there is a weak point that detects a change in shadow or light as a moving object (intruder) and issues an alarm. is there.

これに対して熱線センサは、複数の検知領域を一つの焦電素子(熱線検出素子)で監視することができ、広い領域を見るための検知領域を設定することが難しいという弱点があるものの、影の動きには反応することがないという特徴がある。   On the other hand, although the heat ray sensor can monitor a plurality of detection areas with one pyroelectric element (heat ray detection element), it has a weak point that it is difficult to set a detection area for viewing a wide area. There is a feature that it does not react to the movement of the shadow.

上述の監視カメラ装置102としては両センサを併設することで、両センサの弱点を互いに補って誤検知を少なくするようにしたものが提供されている(例えば特許文献1)。
特開2000−209573(段落0011、図1)
As the above-described monitoring camera device 102, there is provided a device in which both sensors are provided side by side to compensate for the weak points of both sensors to reduce false detection (for example, Patent Document 1).
JP 2000-209573 (paragraph 0011, FIG. 1)

しかしながら、敷地103内に植えられている樹木が存在している領域をマスク領域として設定していても、風等によって樹木が揺らぎマスク領域から枝等がはみ出た場合、画像センサはこれを移動物体として検知してしまうという課題がある。   However, even if the area where trees planted in the site 103 exist is set as a mask area, if the tree fluctuates due to wind or the like, and branches and the like protrude from the mask area, the image sensor detects this as a moving object. There is a problem that it will be detected as.

また熱線センサでは、樹木の揺らぎなどによって熱線ビームのレベルが変化するような場合、これを人として検知してしまうという課題がある。   Moreover, in the case of a heat ray sensor, when the level of a heat ray beam changes due to fluctuations in a tree or the like, there is a problem that this is detected as a person.

従って両センサの検知情報を用いて人検知を行う場合にも、両センサが検知情報を出力し、その結果誤報が為され、しかもこれらの誤検知が連続的に継続すると、誤報が続くという恐れがあった。   Therefore, even when human detection is performed using the detection information of both sensors, both sensors output detection information, and as a result, false alarms are made, and if these false detections continue continuously, the false alarms may continue. was there.

本発明は、上述の点に鑑みて為されたもので、その目的とするところはマスク領域に対応している非検知対象の物体がマスク領域外にはみ出すような動きがあっても人と誤検知する恐れを少なくした監視カメラ装置を提供することにある。   The present invention has been made in view of the above-described points, and the object of the present invention is to avoid mistakes with humans even if the non-detection target object corresponding to the mask area moves outside the mask area. An object of the present invention is to provide a surveillance camera device that reduces the risk of detection.

上述の目的を達成するために、請求項1の発明では、所定の領域を撮像する撮像手段と、該撮像手段の撮像により得られる画像の領域内にマスク領域を設定する機能を有し、前記画像から移動する物体を検知して該物体の位置が前記マスク領域内であるか否かを判断して検知情報を出力する画像処理手段を有する画像センサとを少なくとも備え、
前記画像処理手段は、前記マスク領域からはみ出して動く物体を検知すると、一定時間の間当該物体の動きの位置を追跡して前記検知情報の出力の要否の判断を行うことを特徴とする。
In order to achieve the above-described object, the invention of claim 1 has an imaging means for imaging a predetermined area, and a function for setting a mask area in an area of an image obtained by imaging by the imaging means, An image sensor having an image processing means for detecting a moving object from an image, determining whether the position of the object is within the mask region and outputting detection information;
When the image processing means detects an object that moves out of the mask area, the image processing means tracks the position of the movement of the object for a predetermined time to determine whether the detection information needs to be output.

請求項1の発明では、画像センサも画像処理手段が、マスク領域にかかって動く物体が侵入者のような警戒対象なのか、マスク領域内にある樹木のような非検知対象の物体が風によって動いてマスク領域をはみ出している場合なのかを識別することで、検知情報の出力の要否を判断することができるため、マスク領域内にある樹木のような非検知対象の物体が一時的にマスク領域外にはみ出しても当該該物体を移動物体(侵入者)と誤検知する恐れが少ない。   According to the first aspect of the present invention, the image sensor and the image processing means are configured such that the object moving on the mask area is a warning target such as an intruder, or the non-detection target object such as a tree in the mask area is caused by wind. It is possible to determine whether or not detection information needs to be output by identifying whether the mask area has moved out, so that non-detection target objects such as trees in the mask area are temporarily Even if it protrudes outside the mask area, there is little risk of erroneous detection of the object as a moving object (intruder).

請求項2の発明では、請求項1の発明において、前記画像処理手段は、一定時間の間に前記物体が前記マスク領域の位置から所定の距離だけ移動しない場合には前記検知情報を出力しないことを特徴とすることを特徴とする。   According to a second aspect of the present invention, in the first aspect of the invention, the image processing means does not output the detection information when the object does not move by a predetermined distance from the position of the mask area during a predetermined time. It is characterized by.

請求項2の発明によれば、画像処理手段が、マスク領域内に元々存在する樹木のように風等で揺れてもマスク領域外に一定以上はみ出さない物体を本来の検知対象物である侵入者と確実に識別することができ、その結果マスク領域内の樹木等を侵入者と誤検知するのを防ぐことができる。   According to the invention of claim 2, the image processing means intrudes as an original detection target an object that does not protrude beyond the mask area even if it is swayed by wind or the like, such as a tree originally existing in the mask area. Therefore, it is possible to prevent a tree or the like in the mask area from being erroneously detected as an intruder.

請求項3の発明では、請求項1の発明において、前記画像処理手段は、前記一定時間の間に前記物体が前記マスク領域外で検知される回数が一定回数未満の場合には前記検知情報を出力しないことを特徴とする。   According to a third aspect of the present invention, in the first aspect of the present invention, the image processing means outputs the detection information when the number of times that the object is detected outside the mask area is less than the predetermined number of times during the predetermined time. It is characterized by not outputting.

請求項3の発明によれば、画像処理手段が、マスク領域内に元々存在する樹木のように風等で揺れて、マスク領域内外に出没する物体を本来の検知対象物である侵入者と確実に識別することができ、その結果マスク領域内の樹木等を侵入者と誤検知するのを防ぐことができる。   According to the invention of claim 3, the image processing means reliably detects an object that appears and disappears in and out of the mask area as a tree originally existing in the mask area as an intruder that is the original detection target. As a result, it is possible to prevent erroneous detection of a tree or the like in the mask area as an intruder.

請求項4の発明では、請求項1乃至3の何れかの発明において、前記撮像手段の撮像により得られる画像の領域内に設定した該検知領域からの熱線ビームの受光レベルの変化により検知情報を出力する熱線センサと、前記画像センサからの検知情報と前記熱線センサからの検知情報とに基づいて警報発報を判断する判断手段とを具備していることを特徴とする。   According to a fourth aspect of the present invention, in any one of the first to third aspects of the present invention, the detection information is obtained by a change in the received light level of the heat ray beam from the detection area set in the area of the image obtained by the imaging of the imaging means. It comprises a heat ray sensor to output, and a judging means for judging an alarm notification based on detection information from the image sensor and detection information from the heat ray sensor.

請求項4の発明によれば、熱線センサの併用によって検知性能を一層向上させ誤報を少なくすることができる。   According to the invention of claim 4, the detection performance can be further improved and the false alarm can be reduced by using the heat ray sensor together.

本発明は、画像センサの画像処理手段が、マスク領域にかかって動く物体が侵入者のような警戒対象なのか、マスク領域内にある樹木のような非検知対象物が風によって動いてマスク領域をはみ出している場合なのかを識別することで、検知情報の出力の要否を判断することができるため、マスク領域内にある樹木のような非検知対象の物体が一時的にマスク領域外にはみ出しても当該該物体を侵入者と誤検知する恐れが少ないという効果がある。   In the present invention, the image processing means of the image sensor determines whether an object moving over the mask area is a warning object such as an intruder, or a non-detection object such as a tree in the mask area is moved by the wind. Since it is possible to determine whether or not detection information needs to be output by identifying whether the object is protruding, an object that is not to be detected, such as a tree in the mask area, is temporarily outside the mask area. Even if it protrudes, there is an effect that the object is less likely to be erroneously detected as an intruder.

以下本発明を実施形態により説明する。
(実施形態1)
図1は本実施形態の監視カメラ装置の構成を示しており、本実施形態の監視カメラ装置は、住宅の外壁に取り付けられ、所定の領域(例えば住宅の敷地)を撮像するための撮像手段たる撮像カメラ1と、撮像カメラ1から出力されるYUV形式の画像データをNTSC方式の画像信号に変換するYUV/NTSC変換部2及びこのYUV/NTSC変換部2から出力されるNTSC方式の画像信号を所定の変調方式で変調して、住宅内に設けた例えばドアホン親器(図示せず)へ信号線(図示せず)を介して伝送する伝送部3からなるモニタ系回路と、撮像カメラ1から出力される画像データから移動物体(侵入者)を検知する画像センサ4と、撮像カメラ1が撮像して得られる画像の領域内を複数の検知領域に分割して夫々の検知領域からの熱線ビーム(赤外線)によって人の有無を検知する熱線センサ5と、これら画像センサ4及び熱線センサ5の夫々の検知情報から人の検知判断を行い、この判断に基づいて報知・警報部6に報知音を発生させたり、敷地内を照射する威嚇用の照明灯(図示せず)を点灯させるための信号を出力する信号処理部7とを備えている。
Embodiments of the present invention will be described below.
(Embodiment 1)
FIG. 1 shows a configuration of a monitoring camera device according to the present embodiment. The monitoring camera device according to the present embodiment is attached to an outer wall of a house and serves as an imaging unit for capturing an image of a predetermined area (for example, a site of a house). The imaging camera 1, the YUV / NTSC converter 2 that converts the YUV format image data output from the imaging camera 1 into an NTSC image signal, and the NTSC image signal output from the YUV / NTSC converter 2 From the imaging camera 1, a monitor system circuit including a transmission unit 3 that modulates with a predetermined modulation method and transmits the signal to a door phone parent unit (not shown) provided in the house via a signal line (not shown), for example. An image sensor 4 that detects a moving object (intruder) from the output image data, and an image area obtained by imaging by the imaging camera 1 is divided into a plurality of detection areas, and the respective detection areas are used. A heat detection sensor 5 detects the presence or absence of a person with a heat beam (infrared ray), and the detection information of each of the image sensor 4 and the heat ray sensor 5 is detected, and a notification / alarm unit 6 is notified based on this determination. And a signal processing unit 7 that outputs a signal for generating sound or lighting a threatening illumination lamp (not shown) that irradiates the site.

撮像カメラ1は監視領域を時系列的に撮像するCCD等の固定撮像素子やCMOSイメージセンサを撮像素子として用いたもので、撮像素子から出力されるYUV信号をA/D変換してYUVデータに変換する機能を備えている。   The imaging camera 1 uses a fixed imaging element such as a CCD or a CMOS image sensor that images a monitoring area in time series as an imaging element, and A / D converts a YUV signal output from the imaging element into YUV data. It has a function to convert.

また画像センサ4は画像処理手段たる画像処理部40と記憶部41とから構成され、画像処理部40は輪郭抽出手段40a、移動輪郭抽出手段40b、移動領域抽出手段40c、領域特徴量検出手段40d、マスク処理手段40eから構成される。   The image sensor 4 includes an image processing unit 40 as an image processing unit and a storage unit 41. The image processing unit 40 includes a contour extracting unit 40a, a moving contour extracting unit 40b, a moving region extracting unit 40c, and a region feature amount detecting unit 40d. , Mask processing means 40e.

ここで輪郭抽出手段40aは、撮像カメラ1から出力される時系列的な濃淡画像データに対して一般的なSOBELフィルタ等を用いて微分処理を行って、輪郭画像を抽出し、この抽出した輪郭画像のデータを記憶部41に一定期間保存させる処理を行う。   Here, the contour extracting means 40a performs a differentiation process on the time-series grayscale image data output from the imaging camera 1 using a general SOBEL filter or the like to extract a contour image, and this extracted contour A process of storing the image data in the storage unit 41 for a certain period is performed.

移動輪郭抽出手段40bは、時系列の輪郭画像のデータを用いて論理合成を行い、移動状態にある輪郭のみから合成画像を作成抽出する処理を行う。   The moving contour extraction unit 40b performs logical synthesis using time-series contour image data, and performs a process of creating and extracting a composite image from only the contour in the moving state.

移動領域抽出手段40cは、移動輪郭抽出手段40で得られる合成画像をラベリングして移動物体の領域を抽出する。尚この抽出する領域を図3に示すように外接四角形の領域Xなどで表せば、データ量も減り演算処理も容易となる。   The moving region extraction unit 40c extracts the region of the moving object by labeling the composite image obtained by the moving contour extraction unit 40. If the area to be extracted is represented by a circumscribed square area X as shown in FIG. 3, the amount of data is reduced and the calculation process is facilitated.

領域特徴量検出手段40dは、記憶部41で記憶された輪郭画像のデータを用いて、移動輪郭部分の方向値を抽出して移動方向頻度分布を作成し、この作成した移動方向頻度分布を特徴量として、移動物体の領域移動が外乱によるものであるか人によるものかを判定する機能を有する。   The area feature quantity detection means 40d uses the contour image data stored in the storage unit 41 to extract the direction value of the moving contour portion to create a moving direction frequency distribution, and the created moving direction frequency distribution is characterized. As a quantity, it has a function of determining whether the area movement of the moving object is due to a disturbance or a person.

ところで、人の輪郭は直線成分より曲線部分が多く且つ複雑な形状のためそのエッジ方向はあらゆる方向に分布しており、構造物の影などの輪郭は直線的な成分が多く、移動方向頻度分布は偏った分布になり易い。   By the way, the contours of humans have more curved parts than the linear components and have a complicated shape, so the edge directions are distributed in all directions, and the contours such as shadows of structures have many linear components and the frequency distribution in the moving direction. Tends to have a biased distribution.

そこで移動領域についてその移動領域が人を現しているのかを比較判定するための移動方向頻度分布のテーブルを例えば記憶部41に格納し、このテーブルが示す移動方向頻度分布と、作成した移動方向頻度分布とを比較することで、領域移動が人によるものかを判定するのである。   Therefore, a moving direction frequency distribution table for comparing and determining whether the moving area represents a person for the moving area is stored in the storage unit 41, for example, and the moving direction frequency distribution indicated by the table and the generated moving direction frequency are stored. By comparing the distribution, it is determined whether the region movement is caused by a person.

マスク処理手段40eは、撮像カメラ1が撮像する監視対象の所定の領域(住宅の敷地等)内に門扉など可動するものや、風等の揺れで動く樹木が存在し、これら物体を画像センサ4が移動物体(侵入者)として検知しないようにマスク領域MAを図3に示すように設定する手段である。   The mask processing means 40e includes a movable object such as a gate in a predetermined area to be monitored (such as a residential premises) to be imaged by the imaging camera 1, and a tree that is moved by shaking of the wind. 3 is a means for setting the mask area MA as shown in FIG. 3 so that it is not detected as a moving object (intruder).

以上のように構成された画像センサ4では、画像処理部4の領域特徴量検出手段40dが人と判定した結果を検知情報として信号処理部7へ出力するのである。   In the image sensor 4 configured as described above, the region feature amount detection unit 40d of the image processing unit 4 outputs a result determined as a person to the signal processing unit 7 as detection information.

一方熱線センサ5は、撮像カメラ1が撮像する監視領域(画像領域)を図2の斜線部分に示すように複数の検知領域を設定してその領域からの熱線ビーム(赤外線ビーム)を集光するレンズ等の熱線光学部50と、熱線光学部50で集光した熱線ビームを受光する焦電素子51と、この焦電素子51の検出信号を増幅する増幅回路52と、この増幅回路52の増幅出力と所定基準値とを比較して受光レベルの変化が所定以上あると検知情報を信号処理部7へ出力する比較器53とから構成される。尚図2で示す検知領域は実際には平面的な拡がりを持つように設定される。   On the other hand, the heat ray sensor 5 sets a plurality of detection areas as indicated by hatched portions in FIG. 2 as monitoring areas (image areas) captured by the imaging camera 1 and collects heat ray beams (infrared beams) from the areas. A heat ray optical unit 50 such as a lens; a pyroelectric element 51 that receives a heat ray beam condensed by the heat ray optical unit 50; an amplification circuit 52 that amplifies a detection signal of the pyroelectric element 51; and an amplification of the amplification circuit 52 Comparing the output with a predetermined reference value, the comparator 53 is configured to output detection information to the signal processing unit 7 when a change in the received light level is greater than a predetermined value. Note that the detection area shown in FIG. 2 is actually set to have a two-dimensional spread.

信号処理部7は画像センサ4の検知情報及び熱線センサ5の検知情報が出力されたときに敷地(監視領域)内に侵入者有りと判断して報知・警報部6へ報知音を報知させる制御信号と、敷地内を照射する照明灯を点灯させる制御信号とを出力し、報知・警報部6によって報知音で家人に侵入者がいることを報知するとともに照明光により侵入者に対して威嚇を行わせるのである。   The signal processing unit 7 determines that there is an intruder in the site (monitoring area) when the detection information of the image sensor 4 and the detection information of the heat ray sensor 5 are output, and controls the notification / alarm unit 6 to notify the notification sound. A signal and a control signal for turning on the illuminating lamp that illuminates the site are output, and the alarm / alarm unit 6 informs the inhabitant of the intruder by a notification sound and threatens the intruder by the illumination light. It is done.

ところで監視領域となる敷地に樹木が植えられている場合、樹木が風で揺れると、画像センサ4では、それを移動物体として誤検知してしまう。また熱線センサ5においても樹木の揺れによって受光する熱線量が変化して誤検知してしまい、結果信号処理部7は両センサ4,5の検知情報に基づいて侵入者有りと判断し、報知・警報部6から誤報を発するという恐れがある。   By the way, when a tree is planted in the site to be a monitoring area, if the tree is shaken by the wind, the image sensor 4 erroneously detects it as a moving object. Further, the heat ray sensor 5 also detects erroneously because the heat dose received due to the shaking of the tree changes, and the result signal processing unit 7 determines that there is an intruder based on the detection information of both sensors 4, 5, There is a risk of false alarms from the alarm unit 6.

そこで本実施形態では、上述のようにマスク処理手段40eにより樹木や門扉等の動きのある物体が存在する領域を画像センサ4の検知対象領域から外す、つまりマスク領域MAとして画像処理部40に予め設定するようになっている。尚この設定は適宜手段により行えば良く、例えば初期設定として施工者或いはユーザが撮像カメラ1で撮像される所定の領域の画像をモニタ装置で確認しながら、画面上でマスク領域MAを設定し、この設定データを画像処理部40に信号処理部7を通じて送って、マスク処理手段40eに渡すようする。勿論その他の方法を用いてマスク領域MAを設定するようにしても良い。   Therefore, in the present embodiment, as described above, the mask processing unit 40e removes an area where a moving object such as a tree or a gate is present from the detection target area of the image sensor 4, that is, the mask area MA is previously stored in the image processing unit 40. It is supposed to be set. This setting may be performed by appropriate means. For example, as an initial setting, the operator or the user sets the mask area MA on the screen while checking the image of the predetermined area captured by the imaging camera 1 on the monitor device, This setting data is sent to the image processing unit 40 through the signal processing unit 7 and passed to the mask processing means 40e. Of course, the mask area MA may be set using other methods.

さて図3(a)の場合の設定例では風が吹かない状態や風の強さが所定以下の場合においても樹木Tr全体が収まる範囲内にマスク領域MAを設定している。 尚右隅のマスク領域MA’は例えば門扉など開閉に伴って動く物体が存在する領域に対応させたものである。   In the setting example in the case of FIG. 3A, the mask area MA is set within a range in which the entire tree Tr can be accommodated even when the wind is not blowing or the wind strength is below a predetermined value. The mask area MA 'at the right corner corresponds to an area where there is an object that moves with opening and closing, such as a gate.

ところで、風が強く吹いた場合に樹木Trが大きく揺れてマスク領域MAからはみ出し、このはみ出し部位の動きにより該はみ出し部位を移動物体として画像センサ4が検知してしまう恐れがある。そこでマスク領域MAを最初から大きく設定することも考えられるが、この場合画像センサ4の検知対象領域が狭まることになる。そこで本実施形態の画像処理部4では、風等で樹木Trが図3(b)に示すように動き、マスク領域MAを図3(c)に示すようにはみ出すと、そのはみ出した部位が、移動領域輪郭抽出手段40a、移動輪郭抽出部40b、移動領域抽出手段40c、移動特徴量検出手段40dにより通常の移動物体検知と同様に検知されるが、即時に移動物体の検知情報を出力せず、これら手段40a〜40dによってはみ出し部位の位置が該一定時間の間に図3(c)に示すようにマスク領域MAから所定の距離L(想定される強さの風で樹木Trが動いてマスク領域MA外にはみ出す最大位置に対応させた距離)だけ移動しないか否かを見る追跡を行い、一定時間内において距離L以上の移動があった場合には移動物体であると判断して検知情報を信号処理部7へ出力するが、移動がなかった場合には移動物体でないと判断して検知情報を信号処理部7へ出力しない。つまりマスク領域MA内の樹木が風で動いても距離L以上の移動がなければ、画像センサ4としては検知情報を出力しないため、樹木の動きによって熱線センサ5が誤検知して検知情報を信号処理部7へ出力しても信号処理部7は誤報することがないのである。   By the way, when the wind blows strongly, the tree Tr is greatly shaken and protrudes from the mask area MA, and the movement of the protruding part may cause the image sensor 4 to detect the protruding part as a moving object. Therefore, it is conceivable to set the mask area MA large from the beginning, but in this case, the detection target area of the image sensor 4 is narrowed. Therefore, in the image processing unit 4 of the present embodiment, when the tree Tr moves due to wind or the like as shown in FIG. 3B and the mask area MA protrudes as shown in FIG. The moving area contour extracting means 40a, the moving contour extracting section 40b, the moving area extracting means 40c, and the moving feature amount detecting means 40d are detected in the same manner as normal moving object detection, but do not immediately output detection information of the moving object. By these means 40a to 40d, the position of the protruding portion is masked by moving the tree Tr by a predetermined distance L (wind of the assumed strength) from the mask area MA as shown in FIG. Tracking is performed to see whether or not the object moves by a distance corresponding to the maximum position that protrudes outside the area MA. If the object moves more than the distance L within a certain period of time, it is determined that the object is a moving object. Believe And outputs to the processing unit 7, but if the movement was not no output is judged not to be the moving object detection information to the signal processing unit 7. That is, if the tree in the mask area MA moves in the wind but does not move beyond the distance L, the detection information is not output as the image sensor 4, so the heat ray sensor 5 erroneously detects the detection information as a result of the movement of the tree. Even if the signal is output to the processing unit 7, the signal processing unit 7 does not make a false alarm.

尚距離ではなく、マスク領域MA外で移動物体を一定時間内に一定回数以上検出しない場合には検知情報を出力しないようにしても良い。つまり樹木Trのように風で揺れ動くものは、マスク領域MAをはみ出すのが間欠的である点に着目し、一定時間内に移動物体として検出される回数は、限られるため、この回数をカウントすることで、距離Lによる判断と同様に誤検知の恐れを少なくすることができる。   Note that the detection information may not be output when the moving object is not detected more than a certain number of times within a certain time, not the distance, instead of the distance. In other words, a thing that swings in the wind like a tree Tr pays attention to the fact that the mask area MA protrudes intermittently, and the number of times it is detected as a moving object within a certain time is limited, so this number is counted. Thus, similarly to the determination based on the distance L, the risk of erroneous detection can be reduced.

ところで、上述のカウント回数が移動物体と判断される回数よりも少ない所定の回数以上となった場合にマスク処理手段40eにより設定されるマスク領域MAを図3(d)に示すように横方向に広げ、樹木が風などによって激しく動くような場合に拡幅したマスク領域MA外へはみ出さないようにし、移動物体として検出される回数が移動物体と判断される回数にならないようにして、誤検知を防ぐようにしても良い。   By the way, the mask area MA set by the mask processing means 40e when the above-mentioned count number is equal to or greater than a predetermined number less than the number of times that it is determined as a moving object is shown in the horizontal direction as shown in FIG. In the case where the tree is moved violently due to wind or the like, it is prevented from protruding outside the widened mask area MA, and the number of times it is detected as a moving object does not become the number of times it is determined as a moving object. It may be prevented.

一実施形態のブロック図である。It is a block diagram of one embodiment. 一実施形態の熱線センサの検知領域の説明図である。It is explanatory drawing of the detection area | region of the heat ray sensor of one Embodiment. 一実施形態のマスク領域の設定説明図である。It is setting explanatory drawing of the mask area | region of one Embodiment. 監視カメラ装置を備えたインターホンシステムの説明図である。It is explanatory drawing of the intercom system provided with the monitoring camera apparatus.

符号の説明Explanation of symbols

1 撮像カメラ
2 YUV/NTSC変換部
3 伝送部
4 画像センサ
40 画像処理部
40a 輪郭抽出部
40b 移動輪郭抽出手段
40c 移動領域抽出手段
40d 領域特徴量検出手段
40e マスク処理手段
41 記憶部
5 熱線センサ
50 熱線光学部
51 焦電素子
52 増幅回路
53 比較器
6 報知・警報部
7 信号処理部
DESCRIPTION OF SYMBOLS 1 Imaging camera 2 YUV / NTSC conversion part 3 Transmission part 4 Image sensor 40 Image processing part 40a Outline extraction part 40b Moving outline extraction means 40c Moving area extraction means 40d Area feature-value detection means 40e Mask processing means 41 Storage part 5 Heat ray sensor 50 Heat ray optical unit 51 Pyroelectric element 52 Amplifying circuit 53 Comparator 6 Notification / alarm unit 7 Signal processing unit

Claims (4)

所定の領域を撮像する撮像手段と、該撮像手段の撮像により得られる画像の領域内にマスク領域を設定する機能を有し、前記画像から移動する物体を検知して該物体の位置が前記マスク領域内であるか否かを判断して検知情報を出力する画像処理手段を有する画像センサとを少なくとも備え、
前記画像処理手段は、前記マスク領域からはみ出して動く物体を検知すると、一定時間の間当該物体の動きの位置を追跡して前記検知情報の出力の要否の判断を行うことを特徴とする監視カメラ装置。
An imaging unit for imaging a predetermined area, and a function of setting a mask area in an area of an image obtained by imaging of the imaging unit, detecting a moving object from the image, and the position of the object is the mask And at least an image sensor having an image processing means for determining whether or not the region is within and outputting detection information;
When the image processing means detects an object that moves out of the mask region, the image processing means tracks the position of the movement of the object for a predetermined time and determines whether the detection information needs to be output. Camera device.
前記画像処理手段は、一定時間の間に前記物体が前記マスク領域の位置から所定の距離だけ移動しない場合には前記検知情報を出力しないことを特徴とすることを特徴とする請求項1記載の監視カメラ装置。 The image processing means does not output the detection information when the object does not move by a predetermined distance from the position of the mask area during a predetermined time. Surveillance camera device. 前記画像処理手段は、前記一定時間の間に前記物体が前記マスク領域外で検知される回数が一定回数未満の場合には前記検知情報を出力しないことを特徴とする請求項1記載の監視カメラ装置。 The monitoring camera according to claim 1, wherein the image processing unit does not output the detection information when the number of times the object is detected outside the mask area is less than a predetermined number of times during the predetermined time. apparatus. 前記撮像手段の撮像により得られる画像の領域内に設定した該検知領域からの熱線ビームの受光レベルの変化により検知情報を出力する熱線センサと、前記画像センサからの検知情報と前記熱線センサからの検知情報とに基づいて警報発報を判断する判断手段とを具備していることを特徴とする請求項1乃至3の何れかの1項記載の監視カメラ装置。

A heat ray sensor that outputs detection information according to a change in a light receiving level of a heat ray beam from the detection region set in an image region obtained by imaging of the imaging means, detection information from the image sensor, and detection information from the heat ray sensor The monitoring camera device according to claim 1, further comprising: a determination unit that determines an alarm notification based on the detection information.

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