CN102547241A - Home anomaly detection method and home anomaly detection device as well as home anomaly detection system on basis of wireless network camera - Google Patents

Home anomaly detection method and home anomaly detection device as well as home anomaly detection system on basis of wireless network camera Download PDF

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Publication number
CN102547241A
CN102547241A CN2011104598608A CN201110459860A CN102547241A CN 102547241 A CN102547241 A CN 102547241A CN 2011104598608 A CN2011104598608 A CN 2011104598608A CN 201110459860 A CN201110459860 A CN 201110459860A CN 102547241 A CN102547241 A CN 102547241A
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image
type
time
family
identification
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戚建淮
徐国前
宋余生
陈健
刘红涛
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SHENZHEN RONGDA ELECTRONICS CO Ltd
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SHENZHEN RONGDA ELECTRONICS CO Ltd
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Abstract

The invention discloses a home anomaly detection method which comprises the following steps of: receiving at least one image sent from the outside; carrying out secondary image identification on the received image; judging that the received image belongs to a first type of images and/or belongs to a second type of images by a secondary image identification result; if the received image belongs to the first type of images, generating a first type of automatic warning on the basis of the first type of images and sending out the first type of automatic warning; and if an identification result is that the received image belongs to the second type of images, generating a second type of automatic warning according to the second type of images and sending out the second type of automatic warning. The home anomaly detection method has the effects of classifying the image by adopting secondary identification and sending warning information in a classified mode. The invention also discloses a corresponding device and a system adopting the method or the device.

Description

Family's method for detecting abnormality and device and based on family's abnormality detection system of wireless network camera
Technical field
The invention belongs to the monitoring field, concretely, belong to a kind of video abnormality monitoring system.
Background technology
Video monitoring master in the market can monitor in real time through the software of server end, or send mobile detection alert to user through modes such as 3G with being real-time monitoring.The tradition security protection mainly is that transducers such as Men Ci provide warning function through infrared.
Image recognition technology is based on the image recognition that video or picture carry out, and mainly is divided into two big types, and the first kind is to be established as the basis with background model, mainly comprises the behavioural analysis of boundary defence, mobile detection etc.; Second type is the basis with the Characteristic Recognition, comprises car plate identification, recognition of face, number of people identification, animal identification etc.
The weak point of prior art is: the video monitoring on the market mainly provides real-time monitoring and control, and the Realtime Alerts function can't be provided.Load the 3G module through headend equipment and notify the user immediately, expense is too high; In addition, traditional security protection is through infrared, and the type of alarm of detection meanss such as Men Ci is easy to generate wrong report, can't notify the user immediately simultaneously; At last, the video monitoring on the market can't provide the third party to record a video and the evidence obtaining problem.
Summary of the invention
One aspect of the present invention is to solve the unusual problem of family that can not effectively distinguish invasion and fire etc. that has video monitoring and security alarm now, and a kind of family method for detecting abnormality is provided.
In a kind of optional execution mode; This a kind of family method for detecting abnormality; Comprise and receive outside warp image recognition for the first time of sending; This image through identification is for the first time carried out the image recognition second time, and the result through this image recognition second time judges that this image of discerning for the first time belongs to first kind image or belongs to second type of image; And, then generate first kind caution and outwards transmission automatically based on this first kind image as belonging to first kind image; Result like identification belongs to second type of image, then generates second type according to this second type of image and warns automatically and outwards send.
Preferably, the said image recognition first time is the image recognition that is established as the basis with background model; The said image recognition second time is for the characteristics of objects being the identification on basis.
Preferably, said first kind image is that personnel swarm into, ohject displacement, article are stolen, the video pictures ANOMALOUS VARIATIONS, the image that personnel fall, personnel wrestle, personnel are run, pause unusually; This second type of image that image can be flare or smog.
Preferably, the said first kind or second type of automatic warning way comprise: fixed voice notice, remote computer and mailbox: capture picture, video record, mobile phone: receiving alarm picture, video etc.Through note, the multiple communications portal of voice offers the instant warning message of user, is that the user can understand the real-time status of monitoring objective immediately, and makes suitable processing method.
Another aspect of the present invention is to realize the device of preceding method,
A kind of family abnormal detector according to an embodiment of the present is characterized in that: comprise receiving the outside device of sending through image recognition for the first time; This is carried out the device of image recognition for the second time through image of discerning for the first time; Result through this image recognition second time judges that the image of image recognition for the first time belongs to first kind image or belongs to the device of second type of image; And, then generate first kind caution and outwards transmission automatically based on this first kind image as belonging to first kind image; Result like identification belongs to second type of image, then generates second type of device of warning and outwards send automatically according to this second type of image.
Wherein, said first kind image can be that personnel swarm into, ohject displacement, article are stolen, the video pictures ANOMALOUS VARIATIONS, the image that personnel fall, personnel wrestle, personnel are run, pause unusually; This second type of image that image can be flare or smog.
This first kind alarm terminal is client computer or public security monitor terminal; This second type alarm terminal is client computer or fire fighting monitoring terminal.
Preferably, for intrusion detection feature provides the multiple mode of deploying to ensure effective monitoring and control of illegal activities, comprise home mode, the pattern of leaving home, instant pattern, 24 hours monitoring modes.Through the setting of the mode of deploying to ensure effective monitoring and control of illegal activities, be that the user has different processing to monitoring objective under condition of different, easily monitoring objective is done different processing.
Another aspect of the present invention is pointed to the detection system based on family's abnormal detector of wireless network camera, it is characterized in that: comprise
A plurality of wireless network camera heads are used to produce image and do image recognition for the first time, then outwards send if any first kind image;
Family's abnormal detector receives the image through discerning for the first time that the wireless network camera head sends; And to this this image do image recognition for the second time; Judge that this image belongs to first kind image or second type of image, as belong to first kind image, then generate according to the first kind of this first kind image and warn and outwards be sent to first kind alarm terminal automatically; Result like identification belongs to second type, then generates second type according to this second type of image and warns and outwards be sent to second type of alarm terminal automatically;
First kind alarm terminal is used to receive the first kind and alarms automatically; And
Second type of alarm terminal is used to receive second type of alarm automatically.
Preferably, in identification for the second time, to the image setting individual privacy zone of discerning through the first time, this zone is not monitored; Or in identification for the second time, to the image setting individual key area of discerning through the first time, deployed to ensure effective monitoring and control of illegal activities in this zone in 24 hours.
Preferably, for intrusion detection feature provides the multiple mode of deploying to ensure effective monitoring and control of illegal activities, comprise home mode, the pattern of leaving home, instant pattern, 24 hours monitoring modes.Through the setting of the mode of deploying to ensure effective monitoring and control of illegal activities, looking the user has different processing to monitoring objective under condition of different, easily monitoring objective is done different processing.
Preferably, do image recognition for the second time, get rid of wrong report, send warning institute grabgraf sheet behind the video recording and to the client through cloud computing.
Preferably, this first kind alarm terminal is client computer or public security monitor terminal; This second type alarm terminal is client computer or fire fighting monitoring terminal.
The present invention is through technology such as up-to-date intellectual analysis and identification, automatic early-warning and response and Internet of Things, to all kinds of intrusion events that indoor guarded region took place detect automatically, automatic early-warning and the on-the-spot evidence obtaining of invasion.And under the support at cloud computing center, invasion caution is provided and deploy to ensure effective monitoring and control of illegal activities, the security monitoring service, and the needed accurate evidence obtaining service of reporting to the police.
Description of drawings
Fig. 1 is the flow chart of the family's method for detecting abnormality among a kind of embodiment of the present invention;
Fig. 2 is the structure chart of the family's abnormal detector among a kind of embodiment of the present invention;
Fig. 3 is the structure chart based on the detection system of family's abnormal detector of wireless network camera among a kind of embodiment of the present invention.
Embodiment
With reference to the accompanying drawings execution mode of the present invention is done further explanation.
With reference to Fig. 1, the family's method for detecting abnormality among a kind of embodiment of the present invention comprises the steps
Collection is from the image S101 of external camera; The image that collects is carried out image recognition second time S102; Result to identification for the second time judges classification S103; Belong to first kind image like judgement, then generate based on the first kind to the image source of this first kind image and warn also outer 106 of S104 automatically; Result like identification belongs to second type of image, then generates second type of automatic caution S105 and the outside S107 of transmission that is directed against the image source according to this second type of image.As the judge between right and wrong first kind or second type of image, then abandon this image and do not send warning.
Can be to image setting individual privacy zone from external camera, this zone is not monitored; Or individual key area, deployed to ensure effective monitoring and control of illegal activities in this zone in 24 hours.
Do image recognition for the second time through cloud computing, get rid of wrong report, send warning institute grabgraf sheet behind the video recording and to the client.
The image recognition second time among this embodiment mainly is the basis with the Characteristic Recognition; What illegally get into family when judging family's abnormality detection is general animal, the warning that the variation of birds or light causes, or other people the illegal entering or the Normal Alarm of breaking out of fire; Pass through the number of people; People's face, people's the profile and the size of illegal object judge whether it is that the people illegally gets into, and judge whether breaking out of fire through the flame identification technology.As when reporting to the police; Judgement be in birds or the family pet (like cat; Walking about etc. dog) causes that warning then is wrong report, does not then send picture or information to the user: if flame or having the object of the characteristic with people to get into then is to send picture or information to user mobile phone by Normal Alarm.Reduce the wrong report number of times, raising is reported to the police efficient.
The first kind or second type caution automatically comprise: generate word message to the first kind or second type of image, image message, voice, mail, video flowing etc.; And through fixed voice notice, note; Multimedia message, remote computer and mailbox send, etc. mode offer user's fixing or portable terminals such as fixed line, mobile phone, computer, handheld device; With instant warning message, make the user can understand immediately, and make suitable processing the real-time status of monitoring objective.
With reference to Fig. 2, family's abnormal detector 100 in one embodiment comprises the device 101 of collection from the image of outside; It can be an image decoder, thereby the image encoding dress that receives is changed to suitable form, and the image that collects is carried out the device 102 of identification for the second time, and recognition technology is ripe for the second time, repeats no more here; Judge the device 103 of the result's of identification image category for the second time; Basic says; With the image classification that identifies is first kind image and second type of image; First kind image can be that personnel swarm into, ohject displacement, article are stolen, the video pictures ANOMALOUS VARIATIONS, the image that personnel fall, personnel wrestle, personnel are run, pause unusually; This second type of image that image can be flare or smog; As judge that image belongs to first kind image, then alarm generating apparatus 104 generations automatically and alarm automatically, and outwards be sent to first kind alarm terminal 200 through outer transmitting apparatus 106 to the first kind to the image source of this first kind image through the first kind; Result like identification belongs to second type of image, then; Automatically alarm generating apparatus 105 through second type and generate second type of automatic alarm, and outwards be sent to first kind alarm terminal 300 through outer transmitting apparatus 107 to the image source to this second type of image.As the judge between right and wrong first kind or second type of image, then abandon this image and do not send warning.
Because it is bigger to make the required amount of calculation of image recognition for the second time,, therefore this image recognition second time can be a cloud computing server, owing to adopted the form of cloud computing, the accuracy rate of identification improves greatly for the second time, thereby has prevented the alert generation of mistake.
With reference to Fig. 3, aforementioned means can be implemented in the detection system based on family's abnormal detector of wireless network camera, and this system can comprise that a plurality of wireless camera devices 10 are used to produce image encoding; Family's abnormal detector 100 can be through a front end router two 0 and the Internet, telephone network etc. 400 insert the image encoding of wireless camera devices 10; This family's abnormal detector can comprise the device 102 that the image that collects is carried out the identification second time; The various recognition technologies of second type of image are ripe, repeat no more here; Judge the device 103 of the result's of identification image category for the second time; Basic says; With the image classification that identifies is first kind image and second type of image; First kind image can be that personnel swarm into, ohject displacement, article are stolen, the video pictures ANOMALOUS VARIATIONS, the image that personnel fall, personnel wrestle, personnel are run, pause unusually; This second type of image that image can be flare or smog; As judge that image belongs to first kind image; Then alarm generating apparatus 104 generations automatically and alarm automatically, and outwards be sent to first kind alarm terminal 200 via the Internet, telephone network 400 through outer transmitting apparatus 106 to the first kind to the image source of this first kind image through the first kind; Result like identification belongs to second type of image, then; Automatically alarm generating apparatus 105 through second type and generate second type of automatic alarm, and outwards be sent to first kind alarm terminal 300 via the Internet, telephone network 400 etc. through outer transmitting apparatus 107 to the image source to this second type of image.As the judge between right and wrong first kind or second type of image, then abandon this image and do not send warning.
A plurality of wireless camera devices 10 in the present embodiment are used to carry out the image recognition first time; Promptly be established as the image recognition on basis with background model; For example boundary defence is in interior behavioural analysis; Mobile detection etc., and triggering video camera video recording under the situation of recognition result is being arranged, the coding that will record a video behind the video recording is sent to family's abnormal detector 100; Family's abnormal detector 100 can be set at the image encoding of carrying out certain hour and receive; For example two minutes; And the one or more in the image that receives within these two minutes are carried out the image recognition second time, thereby first kind image or second type of image have been determined whether.Produce alarm signal accordingly according to this first kind image or second type of image again; The alarm signal of modes such as for example aforesaid note, multimedia message, and through aforementioned such as modes such as note, Email, voice call be sent to user terminal or the alarm receiving terminal.
In identification for the second time, to the image setting individual privacy zone that receives, this zone is not monitored; Or in identification for the second time, to the image setting individual key area of discerning through the first time, deployed to ensure effective monitoring and control of illegal activities in this zone in 24 hours.
For intrusion detection feature provides the multiple mode of deploying to ensure effective monitoring and control of illegal activities, comprise home mode, the pattern of leaving home, instant pattern, 24 hours monitoring modes.Through the setting of the mode of deploying to ensure effective monitoring and control of illegal activities, looking the user has different processing to monitoring objective under condition of different, easily monitoring objective is done different processing.
The aforementioned generation that is directed against the automatic alarm in image source can for example be the mark in images acquired source; And this mark represented corresponding wireless camera; Thereby, send this mark of wireless camera simultaneously when alarm is sent at first kind alarm terminal or second type of alarm terminal.
The present invention mainly be with the front end camera as the video acquisition terminal, mobile detection and image recognition technology are combined, solve common security protection through infrared, the wrong report problem of detection meanss such as Men Ci.Through sms platform solve real-time monitor video platform commonly used through the too high problem of 3G communication cost with can't notify customer problem immediately with warning message.The warning video recording emergent alarm of the third party's service platform through cloud computing is collected evidence with video, and supports functions such as 110 warnings, 119 warnings.

Claims (10)

1. family's method for detecting abnormality is characterized in that: comprise
Receive the outside piece image of sending at least;
Image to receiving carries out the image recognition second time;
Result through this image recognition second time judges that the image of this reception belongs to first kind image and/or belongs to second type of image; And
As belong to first kind image, then generate first kind caution and outwards transmission automatically based on this first kind image; Result like identification belongs to second type of image, then generates second type according to this second type of image and warns automatically and outwards send.
2. family according to claim 1 abnormal detector is characterized in that: the said image recognition second time is for the characteristics of objects being the identification on basis.
3. family according to claim 1 abnormal detector is characterized in that: said first kind image is that personnel swarm into, ohject displacement, article are stolen, the video pictures ANOMALOUS VARIATIONS, the image that personnel fall, personnel wrestle, personnel are run, pause unusually; This second type of image that image can be flare or smog.
4. family's abnormal detector is characterized in that: comprising:
Receive the outside piece image of sending at least;
The image that receives is carried out the device of image recognition for the second time;
Result through this image recognition second time judges that the image of reception belongs to first kind image or belongs to the device of second type of image; And
As belong to first kind image, then generate first kind caution and outwards transmission automatically based on this first kind image; Result like identification belongs to second type of image, then generates second type of device of warning and outwards send automatically according to this second type of image.
5. detection system based on family's abnormal detector of wireless network camera; It is characterized in that: comprise that a plurality of wireless network camera heads are used to produce image and do image recognition for the first time, image recognition for the first time has the result then in specifying duration, outwards to be sent to few piece image;
Family's abnormal detector receives the piece image at least that the wireless network camera head sends; And image do image recognition for the second time to receiving; Judge that this image belongs to first kind image or second type of image, as belong to first kind image, then generate according to the first kind of this first kind image and warn and outwards be sent to first kind alarm terminal automatically; Result like identification belongs to second type, then generates second type according to this second type of image and warns and outwards be sent to second type of alarm terminal automatically;
First kind alarm terminal is used to receive the first kind and alarms automatically; And
Second type of alarm terminal is used to receive second type of alarm automatically.
6. the detection system of the family's abnormal detector based on wireless network camera according to claim 5 is characterized in that: the said image recognition first time is the image recognition that is established as the basis with background model; It is the identification on basis that the said image recognition second time is at least with the characteristics of objects.
7. the detection system of the family's abnormal detector based on wireless network camera according to claim 5 is characterized in that: in identification for the second time, to through the image setting individual privacy zone of identification for the first time, this zone is not monitored; Or in identification for the second time, to the image setting individual key area of discerning through the first time, deployed to ensure effective monitoring and control of illegal activities in this zone in 24 hours.
8. the detection system of the family's abnormal detector based on wireless network camera according to claim 5; It is characterized in that: for intrusion detection feature provides the multiple mode of deploying to ensure effective monitoring and control of illegal activities, comprise home mode, the pattern of leaving home, instant pattern, 24 hours monitoring modes.Through the setting of the mode of deploying to ensure effective monitoring and control of illegal activities, looking the user has different processing to monitoring objective under condition of different, easily monitoring objective is done different processing.
9. the detection system of the family's abnormal detector based on wireless network camera according to claim 5 is characterized in that: this first kind alarm terminal is client computer or public security monitor terminal; This second type alarm terminal is client computer or fire fighting monitoring terminal.
10. the detection system of the family's abnormal detector based on wireless network camera according to claim 5; It is characterized in that: the said first kind or second type of automatic warning way comprise: the fixed voice notice; Remote computer and mailbox: capture picture, video record, mobile phone: receiving alarm picture, video etc.Through note, the multiple communications portal of voice offers the instant warning message of user, is that the user can understand the real-time status of monitoring objective immediately, and makes suitable processing method.
CN2011104598608A 2011-12-31 2011-12-31 Home anomaly detection method and home anomaly detection device as well as home anomaly detection system on basis of wireless network camera Pending CN102547241A (en)

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CN104159076A (en) * 2014-08-01 2014-11-19 北京奇虎科技有限公司 Camera-shooting device, video monitoring system and video monitoring method
CN105100749A (en) * 2015-09-01 2015-11-25 小米科技有限责任公司 Image pick-up method and device as well as terminal
CN105472312A (en) * 2014-08-19 2016-04-06 北京奇虎科技有限公司 Intelligent shooting system alarming method, intelligent shooting system and network camera
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CN109785564A (en) * 2019-03-21 2019-05-21 安徽威尔信通信科技有限责任公司 A kind of home intelligent safety defense monitoring system
CN110222675A (en) * 2019-07-02 2019-09-10 同略科技有限公司 A kind of police strength dispatching method, system, terminal and storage medium
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Application publication date: 20120704