CN101546377A - Face image capture system and method - Google Patents
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- CN101546377A CN101546377A CN200910057146A CN200910057146A CN101546377A CN 101546377 A CN101546377 A CN 101546377A CN 200910057146 A CN200910057146 A CN 200910057146A CN 200910057146 A CN200910057146 A CN 200910057146A CN 101546377 A CN101546377 A CN 101546377A
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Abstract
The invention discloses a face image capturing system and a face image capturing method. The image real-time screening unit screens the face images in the first storage unit according to the similarity calculated by the face real-time comparison unit, and only one face image of the same person is reserved. The human face post-event comparison unit selects the human face images with the similarity smaller than the set similarity with the human face images set in the second storage unit, and stores the human face images in the second storage unit. On one hand, the invention ensures the high quality of the photos and avoids the fuzzy and distortion of the monitoring pictures caused by the low video compression format and the quality reduction caused by misoperation and secondary compression during manual operation; on the other hand, the human image photo collection work is directly finished, and the workload of manual playback, screening and grabbing is reduced.
Description
Technical field
The present invention relates to a kind of image-taking system and method, relate in particular to a kind of facial image grasping system and method.
Background technology
Some crucial places need be monitored and carry out image storage in the reality, can select the DVR storage of recording a video usually, yet there is following problem in DVR:
1, the conventional hard video recorder per hour produces the video that is about 850MB, and the video of storage in generally 3 months is approximately 1793GB.It is big that the video record that stores takies hard drive space; Often need the hard disc data derivation or increase new hard disk;
2, Lu Xiang utilization factor is low, often needs artificial video playback, intercepts photo once more and uses; In the waste hard drive space, need a large amount of hand labors;
3, on the market the video compression ratio of each manufacturer's DVR each is different, the quality that causes recording a video has nothing in common with each other, fuzzy, distortion phenomenon appear in the key photo that directly causes intercepting.
Disclosed a kind of IP-based real-time multimedia intelligent monitoring method and system of ensureing as Chinese patent CN02115324.8; Described method and system comprise vision signal, the speech talkback signal that the front end watch-dog is collected, or the detected digital signal of devices such as button and sensor sends domain controller to; Domain controller with digital signal sample, digitizing and compression handle and be encapsulated in the IP message frame; The data that domain controller will be encapsulated under the control of the network management center that is connected with network in the IP message frame send Surveillance center to by an IP tunnel.Still there are the problems referred to above in this scheme.
Summary of the invention
Technical matters to be solved by this invention is: provide a kind of specially in the system that monitoring is in real time grasped monitored people's facial photo and stored, its have the storage picture of collection take hard drive space little, directly utilize, picture is without higher characteristics of compression quality repeatedly.
For solving the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of facial image grasping system, it comprises:
Image acquisition unit is in order to obtain image information;
Image acquisition units is connected with described image acquisition unit, the image information of obtaining in order to the described image acquisition unit of real-time extracting, and intercepting facial image wherein;
First storage unit is in order to the real-time facial image of gathering of memory image collecting unit;
The real-time comparing unit of people's face is compared in twos in order to the facial image that image acquisition units is gathered in real time, calculates its similarity; Be considered to represent the same person face greater than two images setting similarity;
Image screens the unit in real time, screens facial image in described first storage unit in order to the similarity that calculates according to the real-time comparing unit of people's face, and same individual's facial image only keeps one;
Second storage unit is in order to store satisfactory facial image;
People's face is comparing unit afterwards, compares in order to image is screened in real time the setting facial image that has in facial image after the unit screening and described second storage unit, calculates its similarity; The similarity of the facial image of setting in selection and described second storage unit all less than the facial image of setting similarity, is stored in described second storage unit.
As a preferred embodiment of the present invention, described first storage unit is a buffer memory.
As a preferred embodiment of the present invention, described image acquisition units intercepting facial image is to buffer memory, and every setting-up time T1, the real-time comparing unit of people's face is compared above-mentioned facial image, calculates its similarity; If the similarity of two facial images is then deleted wherein facial image greater than setting similarity.
As a preferred embodiment of the present invention, described image acquisition units intercepting facial image is to buffer memory, and the facial image of number is set in every intercepting, and the real-time comparing unit of people's face is compared above-mentioned facial image, calculates its similarity; If the similarity of two facial images is then deleted wherein facial image greater than setting similarity.
As a preferred embodiment of the present invention, described image acquisition units intercepting facial image is to buffer memory, and every the facial image of setting-up time T1 or every intercepting setting number, the real-time comparing unit of people's face is compared above-mentioned facial image, calculates its similarity; If the similarity of two facial images is then deleted wherein facial image greater than setting similarity; Then, the real-time comparing unit of people's face compares the facial image in remaining facial image and the storage unit in the buffer memory.
As a preferred embodiment of the present invention, described people's face comparing unit is compared the face images in second storage unit, perhaps compares the wherein interior facial image of setting-up time section.
As a preferred embodiment of the present invention, described system also comprises data processing unit, in order to handle the facial image of described intercepting.
As a preferred embodiment of the present invention, described setting similarity is 75%, and promptly the similarity of two images is considered to represent the same person face more than or equal to 75%.
As a preferred embodiment of the present invention, described system also comprises the time keeping unit, the time that occurs in order to each personnel that write down the representative of each facial image; When repeated detection when same personnel occurs, write down this people's time of occurrence respectively.
A kind of facial image grasping means of above-mentioned facial image grasping system, this method comprises the steps:
Image acquisition unit obtains image information;
Image acquisition units grasps the image information that described image acquisition unit obtains in real time, and intercepting facial image wherein;
People's face comparing unit compares the setting facial image that has in the facial image of intercepting and the storage unit, calculates its similarity; Be considered to represent the same person face greater than two images setting similarity;
Image screening unit screens the facial image of described intercepting, and the facial image of intercepting and the setting facial image of cell stores are compared; The similarity of the facial image of setting in selection and the storage unit all is stored in the described storage unit less than setting facial image similarity, new intercepting.
As a preferred embodiment of the present invention, described first storage unit is a buffer memory.
As a preferred embodiment of the present invention, described image acquisition units intercepting facial image is to buffer memory, and every the facial image of setting-up time T1 or every intercepting setting number, people's face comparing unit is compared above-mentioned facial image, calculates its similarity; If the similarity of two facial images is then deleted wherein facial image greater than setting similarity; Then, people's face comparing unit compares the facial image in remaining facial image and the storage unit in the buffer memory.
As a preferred embodiment of the present invention, described people's face comparing unit is compared the face images in second storage unit, perhaps compares the facial image in the setting-up time section.
Beneficial effect of the present invention is: facial image grasping system and method that the present invention proposes, by grasping photo, on the one hand guaranteed high quality of photos, the maloperation that avoided that the monitored picture that in the past brought because of low video compression format is fuzzy, brings when distortion and manually-operated and once more compression bring the quality reduction; Directly finish portrait photo's collecting work on the other hand, reduced the workload of artificial playback, screening and extracting.
Description of drawings
Fig. 1 is the composition synoptic diagram of inventor's face image-capture system.
Embodiment
Describe the preferred embodiments of the present invention in detail below in conjunction with accompanying drawing.
Embodiment one
See also Fig. 1, the present invention has disclosed a kind of facial image grasping system, and it comprises: image acquisition unit 11, image acquisition units 12, buffer unit 13, the real-time comparing unit 14 of people's face, image screen unit 15, data processing unit 16, second storage unit 17, people's face comparing unit 18 afterwards in real time.Each unit is below described respectively.
[image acquisition unit]
Image acquisition unit 11 is in order to obtain image information; Can be the first-class device of monitoring camera, it provides the image source for image acquisition units 12.
[image acquisition units]
Image acquisition units 12 is connected with described image acquisition unit 11, the image information of obtaining in order to the described image acquisition unit 11 of real-time extracting, and intercepting facial image wherein.
Described image acquisition units 12 is kept in the facial image of intercepting and is stored in the buffer unit 13.
In the present embodiment, image acquisition units 12 is a DSP microchip processor, can monitor functions such as grasping photo, telecommunication network transmission in real time.The portrait collecting device directly carries out timing to the camera collection real-time video and intercepts human face photo.Can intercept the portrait photo about 10 in image acquisition units 12 per seconds, the mean size of intercepting photo is about 25KB (96*128), and the per second common property is given birth to the photo of about 250KB.
[buffer unit]
The facial image that buffer unit 13 is gathered in real time in order to memory image collecting unit 12; In the present embodiment, described image acquisition units 12 intercepting facial images are to buffer unit 13, every the facial image of setting-up time T1 or every intercepting setting number.
The facial image that the real-time comparing unit 14 of people's face is gathered image acquisition units 12 is in real time compared in twos, calculates its similarity; Be considered to represent the same person face greater than two images setting similarity.In the present embodiment, described setting similarity is 75%, and promptly the similarity of two images is considered to represent the same person face more than or equal to 75%.
Image screens similarity that unit 15 calculates according to the real-time comparing unit of people's face in real time and screens facial image in the described buffer unit 13, and same individual's facial image only keeps one.Then, people's face afterwards comparing unit 18 facial image in the remaining facial image in the buffer unit 13 and second storage unit 17 is compared.
[second storage unit]
Second storage unit 17 is in order to store satisfactory facial image, and the facial image of these second storage unit, 17 storages is as the comparison foundation of the facial image of image acquisition units 12 interceptings afterwards.And buffer unit 13 is as temporary storage spare, the facial image in the time capable of setting storage.
[people's face is comparing unit afterwards]
People's face comparing unit 18 afterwards compares in order to image is screened in real time the setting facial image that has in facial image after unit 15 screening and described second storage unit 17, calculates its similarity; The similarity of the facial image of setting in selection and described second storage unit all less than the facial image of setting similarity, is stored in described second storage unit 17.In the present embodiment, described setting similarity is 75%, and promptly the similarity of two images is considered to represent the same person face more than or equal to 75%.
Described people's face is the face images in comparing unit 18 comparison second storage unit 17 afterwards, perhaps compares the facial image of setting regions.
[data processing unit]
Before the facial image of sectional drawing was stored in described storage unit 17, facial image can also be handled facial image through data processing unit 16.As, 16 pairs of facial images of data processing unit compress processing; In the present embodiment, under the situation of not losing photographic quality, photo is unified the standard photographs of boil down to 5KB size and stored.Photo storage adopts own document handling system, and the comparison film data are carried out index stores, supports the inquiry afterwards of comparison film data.
More than introduced the formation of system of the present invention, below introduced the facial image grasping means of above-mentioned facial image grasping system, this method comprises the steps:
Steps A, image acquisition unit obtain image information;
Step B, image acquisition units grasp the image information that described image acquisition unit obtains in real time, and intercepting facial image wherein;
The facial image that step C, the real-time comparing unit of people's face are gathered image acquisition units is in real time compared in twos, calculates its similarity; Be considered to represent the same person face greater than two images setting similarity;
Step D, image screen similarity that the unit calculates according to the real-time comparing unit of people's face in real time and screen facial image in described first storage unit, and same individual's facial image only keeps one;
Step e, image screening unit screen the facial image of described intercepting, and the facial image of intercepting and the setting facial image of cell stores are compared; The similarity of the facial image of setting in selection and the storage unit all is stored in the described storage unit less than setting facial image similarity, new intercepting.
Step F, people's face comparing unit afterwards screen the setting facial image that has in facial image after the unit screening and described second storage unit to image in real time and compare, and calculate its similarity; The similarity of the facial image of setting in selection and described second storage unit all less than the facial image of setting similarity, is stored in described second storage unit.
Through above-mentioned improvement, one aspect of the present invention has guaranteed high quality of photos, the maloperation that avoided that the monitored picture that in the past brought because of low video compression format is fuzzy, brings when distortion and manually-operated and once more compression bring the quality reduction; Directly finish portrait photo's collecting work on the other hand, reduced the workload of artificial playback, screening and extracting.
Embodiment two
The difference of present embodiment and embodiment one is that in the present embodiment, described system also comprises the time keeping unit, the time that occurs in order to each personnel that write down the representative of each facial image; When repeated detection when same personnel occurs, write down this people's time of occurrence respectively.Recording method can realize that memory data output is very little by setting up a picture data storehouse.
This scheme not only can be obtained people's face information, can obtain the time point that these personnel occur simultaneously.
Embodiment three
The difference of present embodiment and embodiment one is, in the present embodiment, described system only comprises image acquisition units 12, buffer unit 13, people's face comparing unit 14, image screening unit 15 (also can comprise data processing unit 16), and do not comprise image acquisition unit 11, storage unit 17, this system and other system are used, and other system comprises image acquisition unit 11, storage unit 17.
Here description of the invention and application is illustrative, is not to want with scope restriction of the present invention in the above-described embodiments.Here the distortion of disclosed embodiment and change are possible, and the various parts of the replacement of embodiment and equivalence are known for those those of ordinary skill in the art.Those skilled in the art are noted that under the situation that does not break away from spirit of the present invention or essential characteristic, and the present invention can be with other form, structure, layout, ratio, and realize with other assembly, material and parts.Under the situation that does not break away from the scope of the invention and spirit, can carry out other distortion and change here to disclosed embodiment.
Claims (13)
1, a kind of facial image grasping system is characterized in that it comprises:
Image acquisition unit is in order to obtain image information;
Image acquisition units is connected with described image acquisition unit, the image information of obtaining in order to the described image acquisition unit of real-time extracting, and intercepting facial image wherein;
First storage unit is in order to the real-time facial image of gathering of memory image collecting unit;
The real-time comparing unit of people's face is compared in twos in order to the facial image that image acquisition units is gathered in real time, calculates its similarity; Be considered to represent the same person face greater than two images setting similarity;
Image screens the unit in real time, screens facial image in described first storage unit in order to the similarity that calculates according to the real-time comparing unit of people's face, and same individual's facial image only keeps one;
Second storage unit is in order to store satisfactory facial image;
People's face is comparing unit afterwards, compares in order to image is screened in real time the setting facial image that has in facial image after the unit screening and described second storage unit, calculates its similarity; The similarity of the facial image of setting in selection and described second storage unit all less than the facial image of setting similarity, is stored in described second storage unit.
2, facial image grasping system according to claim 1 is characterized in that:
Described first storage unit is a buffer memory.
3, facial image grasping system according to claim 2 is characterized in that:
Described image acquisition units intercepting facial image is to buffer memory, and every setting-up time T1, the real-time comparing unit of people's face is compared above-mentioned facial image, calculates its similarity;
If the similarity of two facial images is then deleted wherein facial image greater than setting similarity.
4, facial image grasping system according to claim 2 is characterized in that:
Described image acquisition units intercepting facial image is to buffer memory, and the facial image of number is set in every intercepting, and the real-time comparing unit of people's face is compared above-mentioned facial image, calculates its similarity;
If the similarity of two facial images is then deleted wherein facial image greater than setting similarity.
5, facial image grasping system according to claim 2 is characterized in that:
Described image acquisition units intercepting facial image is to buffer memory, and every the facial image of setting-up time T1 or every intercepting setting number, the real-time comparing unit of people's face is compared above-mentioned facial image, calculates its similarity;
If the similarity of two facial images is then deleted wherein facial image greater than setting similarity;
Then, the real-time comparing unit of people's face compares the facial image in remaining facial image and the storage unit in the buffer memory.
6, facial image grasping system according to claim 1 is characterized in that:
Described people's face comparing unit is compared the face images in second storage unit, perhaps compares the wherein interior facial image of setting-up time section.
7, facial image grasping system according to claim 1 is characterized in that:
Described system also comprises data processing unit, in order to handle the facial image of described intercepting.
8, facial image grasping system according to claim 1 is characterized in that:
Described setting similarity is 75%, and promptly the similarity of two images is considered to represent the same person face more than or equal to 75%.
9, facial image grasping system according to claim 1 is characterized in that:
Described system also comprises the time keeping unit, the time that occurs in order to each personnel that write down the representative of each facial image; When repeated detection when same personnel occurs, write down this people's time of occurrence respectively.
10, the facial image grasping means of any described facial image grasping system of a kind of claim 1 to 9 is characterized in that, this method comprises the steps:
Image acquisition unit obtains image information;
Image acquisition units grasps the image information that described image acquisition unit obtains in real time, and intercepting facial image wherein;
People's face comparing unit compares the setting facial image that has in the facial image of intercepting and the storage unit, calculates its similarity; Be considered to represent the same person face greater than two images setting similarity;
Image screening unit screens the facial image of described intercepting, and the facial image of intercepting and the setting facial image of cell stores are compared; The similarity of the facial image of setting in selection and the storage unit all is stored in the described storage unit less than setting facial image similarity, new intercepting.
11, facial image grasping means according to claim 10 is characterized in that:
Described first storage unit is a buffer memory.
12, facial image grasping system according to claim 11 is characterized in that:
Described image acquisition units intercepting facial image is to buffer memory, and every the facial image of setting-up time T1 or every intercepting setting number, people's face comparing unit is compared above-mentioned facial image, calculates its similarity;
If the similarity of two facial images is then deleted wherein facial image greater than setting similarity;
Then, people's face comparing unit compares the facial image in remaining facial image and the storage unit in the buffer memory.
13, facial image grasping means according to claim 10 is characterized in that:
Described people's face comparing unit is compared the face images in second storage unit, perhaps compares the facial image in the setting-up time section.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101557487A (en) * | 2009-05-08 | 2009-10-14 | 上海银晨智能识别科技有限公司 | Hard disk recorder with human face image capturing function and method for capturing a human face image |
| CN103838484A (en) * | 2014-02-21 | 2014-06-04 | 联想(北京)有限公司 | Method for deleting redundancy images, and electronic device |
| CN106454248A (en) * | 2016-10-25 | 2017-02-22 | 上海银晨智能识别科技有限公司 | System and method for processing face monitoring data in large range |
| CN106709424A (en) * | 2016-11-19 | 2017-05-24 | 北京中科天云科技有限公司 | Optimized surveillance video storage system and equipment |
| CN106778645A (en) * | 2016-12-24 | 2017-05-31 | 深圳云天励飞技术有限公司 | A kind of image processing method and device |
| CN107665361A (en) * | 2017-09-30 | 2018-02-06 | 珠海芯桥科技有限公司 | A kind of passenger flow counting method based on recognition of face |
| CN108875512A (en) * | 2017-12-05 | 2018-11-23 | 北京旷视科技有限公司 | Face identification method, device, system, storage medium and electronic equipment |
| CN109286788A (en) * | 2018-10-09 | 2019-01-29 | 黄杏兰 | A kind of safety defense monitoring system based on cloud computing |
| CN110443134A (en) * | 2019-07-03 | 2019-11-12 | 安徽四创电子股份有限公司 | A kind of system and working method of the recognition of face tracking based on video flowing |
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2009
- 2009-04-28 CN CN200910057146A patent/CN101546377A/en active Pending
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101557487A (en) * | 2009-05-08 | 2009-10-14 | 上海银晨智能识别科技有限公司 | Hard disk recorder with human face image capturing function and method for capturing a human face image |
| CN101557487B (en) * | 2009-05-08 | 2014-08-13 | 上海银晨智能识别科技有限公司 | Hard disk recorder with human face image capturing function and method for capturing a human face image |
| CN103838484A (en) * | 2014-02-21 | 2014-06-04 | 联想(北京)有限公司 | Method for deleting redundancy images, and electronic device |
| CN106454248A (en) * | 2016-10-25 | 2017-02-22 | 上海银晨智能识别科技有限公司 | System and method for processing face monitoring data in large range |
| CN106709424A (en) * | 2016-11-19 | 2017-05-24 | 北京中科天云科技有限公司 | Optimized surveillance video storage system and equipment |
| CN106778645A (en) * | 2016-12-24 | 2017-05-31 | 深圳云天励飞技术有限公司 | A kind of image processing method and device |
| WO2018113523A1 (en) * | 2016-12-24 | 2018-06-28 | 深圳云天励飞技术有限公司 | Image processing method and device, and storage medium |
| CN107665361A (en) * | 2017-09-30 | 2018-02-06 | 珠海芯桥科技有限公司 | A kind of passenger flow counting method based on recognition of face |
| CN108875512A (en) * | 2017-12-05 | 2018-11-23 | 北京旷视科技有限公司 | Face identification method, device, system, storage medium and electronic equipment |
| CN109286788A (en) * | 2018-10-09 | 2019-01-29 | 黄杏兰 | A kind of safety defense monitoring system based on cloud computing |
| CN110443134A (en) * | 2019-07-03 | 2019-11-12 | 安徽四创电子股份有限公司 | A kind of system and working method of the recognition of face tracking based on video flowing |
| CN110443134B (en) * | 2019-07-03 | 2022-06-07 | 安徽四创电子股份有限公司 | Face recognition tracking system based on video stream and working method |
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Application publication date: 20090930 |