JP2010199701A5 - - Google Patents
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- JP2010199701A5 JP2010199701A5 JP2009039356A JP2009039356A JP2010199701A5 JP 2010199701 A5 JP2010199701 A5 JP 2010199701A5 JP 2009039356 A JP2009039356 A JP 2009039356A JP 2009039356 A JP2009039356 A JP 2009039356A JP 2010199701 A5 JP2010199701 A5 JP 2010199701A5
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Claims (6)
前記位置情報に基づいて前記第１画像群から検出された前記物体と前記第２画像群から検出された前記物体とのうち同一と認められる前記物体を統合し、前記第２画像群の撮影時刻に前記監視範囲に存在する前記物体の数を算出する算出部と、
を含む画像処理装置。 The first image group photographed by the first camera set in the camera group photographing the monitoring range and the second camera set in the camera group photographed at different positions from the first camera set were photographed with a time difference. A detection unit for detecting position information of an object to be monitored from the second image group ;
Based on the position information, the object detected from the first image group and the object detected from the second image group are integrated, and the photographing time of the second image group is integrated. A calculation unit for calculating the number of the objects existing in the monitoring range;
An image processing apparatus.
前記第１画像群から検出される１つの物体と前記第２画像群から検出される１つの物体との間の距離が、同一の物体であることを示す所定距離未満である場合、当該第１画像群から検出される１つの物体と当該第２画像群から検出される１つの物体とは同一の物体であると判断し、かつ、当該物体は前記第２画像群の撮影時刻に前記監視範囲に存在する物体であると判断し、
前記第１画像群から検出されるすべての物体と前記第２画像群から検出される１つの物体との間の距離がすべて前記所定距離以上である場合、当該第２画像群から検出される１つの物体は、前記第２画像群の撮影時刻に前記監視範囲に存在する物体であると判断し、
前記第１画像群から検出される１つの物体と前記第２画像群から検出されるすべての物体との間の距離がすべて前記所定距離以上である場合、当該第１画像群から検出される１つの物体は、前記第２画像群の撮影時刻に前記監視範囲に存在する物体であると判断する、
請求項１に記載の画像処理装置。 The calculation unit includes:
If the distance between the one object and detected from one object and the second image group detected from the first image group is less than a predetermined distance indicating that the same object, the first It determined that the identical object is the one object to be detected from one object and the second image group detected from the image group, and the object is the monitoring range in the photographing time of the second image group It is an object that exists in
When all the distances between all objects detected from the first image group and one object detected from the second image group are equal to or greater than the predetermined distance, 1 detected from the second image group One object is determined to be an object existing in the monitoring range at the shooting time of the second image group ;
When all the distances between one object detected from the first image group and all objects detected from the second image group are not less than the predetermined distance, 1 detected from the first image group One object is determined to be an object existing in the monitoring range at the shooting time of the second image group ;
The image processing apparatus according to claim 1.
監視範囲を撮影するカメラ群中の第１カメラセットで撮影された第１画像群と、前記第１カメラセットと撮影位置の異なる前記カメラ群中の第２カメラセットで時間差を設けて撮影された第２画像群とから監視対象の物体の位置情報を検出し、
前記位置情報に基づいて前記第１画像群から検出された前記物体と前記第２画像群から検出された前記物体とのうち同一と認められる前記物体を統合し、前記第２画像群の撮影時刻に前記監視範囲に存在する前記物体の数を算出する、
ことを実行する画像処理方法。 Computer
The first image group photographed by the first camera set in the camera group photographing the monitoring range and the second camera set in the camera group photographed at different positions from the first camera set were photographed with a time difference. Detecting the position information of the object to be monitored from the second image group ,
Based on the position information, the object detected from the first image group and the object detected from the second image group are integrated, and the photographing time of the second image group is integrated. To calculate the number of the objects existing in the monitoring range,
An image processing method that executes that.
前記第１画像群から検出される１つの物体と前記第２画像群から検出される１つの物体との間の距離が、同一の物体であることを示す所定距離未満である場合、当該第１画像群から検出される１つの物体と当該第２画像群から検出される１つの物体とは同一の物体であると判断し、かつ、当該物体は前記第２画像群の撮影時刻に前記監視範囲に存在する物体であると判断し、
前記第１画像群から検出されるすべての物体と前記第２画像群から検出される１つの物体との間の距離がすべて前記所定距離以上である場合、当該第２画像群から検出される１つの物体は、前記第２画像群の撮影時刻に前記監視範囲に存在する物体であると判断し、
前記第１画像群から検出される１つの物体と前記第２画像群から検出されるすべての物体との間の距離がすべて前記所定距離以上である場合、当該第１画像群から検出される１つの物体は、前記第２画像群の撮影時刻に前記監視範囲に存在する物体であると判断する、
ことを実行する請求項３に記載の画像処理方法。 The computer,
If the distance between the one object and detected from one object and the second image group detected from the first image group is less than a predetermined distance indicating that the same object, the first It determined that the identical object is the one object to be detected from one object and the second image group detected from the image group, and the object is the monitoring range in the photographing time of the second image group It is an object that exists in
When all the distances between all objects detected from the first image group and one object detected from the second image group are equal to or greater than the predetermined distance, 1 detected from the second image group One object is determined to be an object existing in the monitoring range at the shooting time of the second image group ;
When all the distances between one object detected from the first image group and all objects detected from the second image group are not less than the predetermined distance, 1 detected from the first image group One object is determined to be an object existing in the monitoring range at the shooting time of the second image group ;
The image processing method according to claim 3, wherein:
監視範囲を撮影するカメラ群中の第１カメラセットで撮影された第１画像群と、前記第１カメラセットと撮影位置の異なる前記カメラ群中の第２カメラセットで時間差を設けて撮影された第２画像群とから監視対象の物体の位置情報を検出し、
前記位置情報に基づいて前記第１画像群から検出された前記物体と前記第２画像群から検出された前記物体とのうち同一と認められる前記物体を統合し、前記第２画像群の撮影時刻に前記監視範囲に存在する前記物体の数を算出する、
ことを実行するための画像処理プログラム。 Computer
The first image group photographed by the first camera set in the camera group photographing the monitoring range and the second camera set in the camera group photographed at different positions from the first camera set were photographed with a time difference. Detecting the position information of the object to be monitored from the second image group ,
Based on the position information, the object detected from the first image group and the object detected from the second image group are integrated, and the photographing time of the second image group is integrated. To calculate the number of the objects existing in the monitoring range,
An image processing program for executing this.
前記第１画像群から検出される１つの物体と前記第２画像群から検出される１つの物体との間の距離が、同一の物体であることを示す所定距離未満である場合、当該第１画像群から検出される１つの物体と当該第２画像群から検出される１つの物体とは同一の物体であると判断し、かつ、当該物体は前記第２画像群の撮影時刻に前記監視範囲に存在する物体であると判断し、
前記第１画像群から検出されるすべての物体と前記第２画像群から検出される１つの物体との間の距離がすべて前記所定距離以上である場合、当該第２画像群から検出される１つの物体は、前記第２画像群の撮影時刻に前記監視範囲に存在する物体であると判断し、
前記第１画像群から検出される１つの物体と前記第２画像群から検出されるすべての物体との間の距離がすべて前記所定距離以上である場合、当該第１画像群から検出される１つの物体は、前記第２画像群の撮影時刻に前記監視範囲に存在する物体であると判断する、
ことを実行するための請求項５に記載の画像処理プログラム。 The computer,
If the distance between the one object and detected from one object and the second image group detected from the first image group is less than a predetermined distance indicating that the same object, the first It determined that the identical object is the one object to be detected from one object and the second image group detected from the image group, and the object is the monitoring range in the photographing time of the second image group It is an object that exists in
When all the distances between all objects detected from the first image group and one object detected from the second image group are equal to or greater than the predetermined distance, 1 detected from the second image group One object is determined to be an object existing in the monitoring range at the shooting time of the second image group ;
When all the distances between one object detected from the first image group and all objects detected from the second image group are not less than the predetermined distance, 1 detected from the first image group One object is determined to be an object existing in the monitoring range at the shooting time of the second image group ;
The image processing program according to claim 5 for executing the above.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2009039356A JP2010199701A (en) | 2009-02-23 | 2009-02-23 | Image processing apparatus, image processing method, and image processing program |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2009039356A JP2010199701A (en) | 2009-02-23 | 2009-02-23 | Image processing apparatus, image processing method, and image processing program |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2010199701A JP2010199701A (en) | 2010-09-09 |
| JP2010199701A5 true JP2010199701A5 (en) | 2011-11-24 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2009039356A Pending JP2010199701A (en) | 2009-02-23 | 2009-02-23 | Image processing apparatus, image processing method, and image processing program |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2010199701A (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5886594B2 (en) * | 2011-10-27 | 2016-03-16 | セコム株式会社 | Camera system |
| CN106104631B (en) * | 2014-03-11 | 2019-03-01 | 三菱电机株式会社 | Human detection device and human detection method |
| JP6787075B2 (en) | 2016-11-22 | 2020-11-18 | 富士通株式会社 | Image processing system, image processing device and image processing method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004072628A (en) * | 2002-08-08 | 2004-03-04 | Univ Waseda | Moving body tracking system using a plurality of cameras and its method |
| JP3800217B2 (en) * | 2003-10-10 | 2006-07-26 | コニカミノルタホールディングス株式会社 | Monitoring system |
| JP2007233523A (en) * | 2006-02-28 | 2007-09-13 | Hitachi Ltd | Person location estimation method using asynchronous camera image and system therefor |
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2009
- 2009-02-23 JP JP2009039356A patent/JP2010199701A/en active Pending
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