CN106961576A - video anti-tailing method, device and system - Google Patents
video anti-tailing method, device and system Download PDFInfo
- Publication number
- CN106961576A CN106961576A CN201710143055.1A CN201710143055A CN106961576A CN 106961576 A CN106961576 A CN 106961576A CN 201710143055 A CN201710143055 A CN 201710143055A CN 106961576 A CN106961576 A CN 106961576A
- Authority
- CN
- China
- Prior art keywords
- trailing
- video
- trail
- image
- video image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000001514 detection method Methods 0.000 claims abstract description 30
- 238000004891 communication Methods 0.000 claims description 19
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000013517 stratification Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000010977 unit operation Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00896—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/22—Status alarms responsive to presence or absence of persons
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
Abstract
The embodiment of the invention discloses a video anti-trailing method, a device and a system, wherein the method comprises the following steps: the collection step comprises: acquiring a video image of a target area site; layering: dividing the video image into a plurality of layers; entering a detection step: analyzing the background difference of a preset layer of the video image, and detecting whether a person enters; an instruction detection step: after detecting that someone enters, detecting whether an instruction signal for starting trailing detection is received; a trailing detection step: if a signal for starting trailing detection is received, further analyzing the video image corresponding to each layer, and detecting whether trailing condition occurs; and a following alarm step: and generating a trailing alarm signal to alarm and uploading trailing information after the trailing condition is detected. The embodiment of the invention detects the trailing phenomenon by processing and analyzing the shot video image, solves the problem of low accuracy of detecting the trailing phenomenon, and further meets the requirements of people.
Description
Technical field
The present invention relates to safety check apparatus field, more particularly to a kind of anti-trailing method of video, apparatus and system.
Background technology
With the development of science and technology, the application of gate passage is also more and more.Existing gate passage is generally using infrared right
Sensor is penetrated to detect trailing phenomenon.However, the precision that phenomenon is trailed in infrared emission sensor detection is low, tend not to meet people
Demand.
The content of the invention
Embodiment of the present invention technical problem to be solved be there is provided a kind of anti-trailing method of video, apparatus and system,
So as to improve the precision that phenomenon is trailed in detection.
In order to solve the above-mentioned technical problem, the embodiment of the present invention proposes a kind of anti-trailing method of video, including:
Acquisition step:Gather the video image at target area scene;
Stratification step:If the video image is divided into dried layer;
Into detecting step:The background subtraction of the predetermined layer of video image is analyzed, detects whether that someone enters;
Command detection step:After someone's entrance is detected, detect whether to receive the instruction letter for starting to trail detection
Number;
Trail detecting step:If receiving the signal for starting to trail detection, every layer of corresponding video is further analyzed
Image, detects whether trailing situation occur;And
Trail alarming step:Detect and occur after trailing situation, produce trailing alarm signal and alarmed, and believe trailing
Breath is uploaded.
Correspondingly, the embodiment of the present invention additionally provides a kind of anti-trailing device of video, including:Gather target area scene
The filming apparatus of video image;
Electrically connected with filming apparatus, produced when detecting trailing situation according to the video image analysis and trail alarm signal
Processor;
Electrically connected with processor, according to the warning device of the alarm signal alert;And
The power module electrically connected with processor.
Correspondingly, the embodiment of the present invention additionally provides a kind of anti-trailing system of video, including above-mentioned anti-trail of video fills
Put, the video is anti-to trail the communication module that device also includes electrically connecting with processor, and the system also includes passing through the mould that communicates
Block is connected with the anti-device of trailing of video, the anti-control terminal for trailing device of control video.
The embodiment of the present invention is by proposing a kind of anti-trailing method of video, apparatus and system, and described device, which includes shooting, to be filled
Put, processor, warning device and power module, pass through the trailing in the video image that processor Treatment Analysis filming apparatus is shot
Phenomenon, solves detection and trails the problem of phenomenon precision is low, and then meet the demand of people.
Brief description of the drawings
Fig. 1 is the anti-structural representation for trailing device of video of the embodiment of the present invention.
Fig. 2 is the structural representation of the anti-trailing system of video of the embodiment of the present invention.
Fig. 3 is the anti-trailing method flow schematic diagram of video of the embodiment of the present invention.
Drawing reference numeral explanation
Filming apparatus 10
Processor 20
Warning device 30
Controller 31
Display device 32
Indicator lamp 33
Sound-producing device 34
Power module 40
Memory 50
Communication module 60
Video is anti-to trail device 100
Control terminal 200
Acquisition step S1
Stratification step S2
Into detecting step S3
Command detection step S4
Trail detecting step S5
Trail alarming step S6
Swarm into alarming step S7.
Embodiment
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase
Mutually combine, the present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings.
If directional in the embodiment of the present invention indicate that (such as up, down, left, right, before and after ...) is only used for explaining at certain
Relative position relation, motion conditions under one particular pose (as shown in drawings) between each part etc., if the particular pose is sent out
During raw change, then directionality indicates also correspondingly therewith to change.
If in addition, the description for being related to " first ", " second " etc. in the present invention be only used for describe purpose, and it is not intended that
Indicate or imply its relative importance or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ",
At least one this feature can be expressed or be implicitly included to the feature of " second ".
Refer to Fig. 1, the video of the embodiment of the present invention is anti-trail device 100 mainly include filming apparatus 10, processor 20,
Warning device 30 and power module 40.
The video image at the collection of filming apparatus 10 target area scene.Imaged for example, filming apparatus 10 is video camera or CCD
Machine etc..
Processor 20 is electrically connected with filming apparatus 10, if the video image is divided into dried layer carries out analysis detection and in inspection
Produced when measuring trailing situation and trail alarm signal.The live video image of collection is transferred to by filming apparatus 10 by USB3.0
Processor 20 detects whether to trail to analyze.
Warning device 30 is electrically connected with processor 20, according to the alarm signal alert.Warning device 30 is wrapped
Include the display device 32 of controller 31 and the display alarm information electrically connected with controller 31, the controller 31 and processor 20
Electrical connection.For example, display device 32 is charactron, serial ports screen, LCDs, LED display etc..Warning device 30 also includes
The indicator lamp 33 for being used to alarm electrically connected with controller 31, it is preferable that indicator lamp 33 includes normal operation indicator lamp, trails report
Warning lamp, mode of operation indicator lamp etc..Warning device 30 includes electrically connecting with processor 20, sends the sounding dress of audio alert information
Put 34.Sound-producing device 34 is buzzer or loudspeaker, is alarmed by voice.Controller 31 passes through R232 with processor 20
Interface connecting communication, controller 31 by handle send trailing alarm signal be sent to corresponding display device 32, indicator lamp 33,
Sound-producing device 34, carries out the multi-faceted alarm of acousto-optic, for example, controller 31 can be using STM32 family chips, LPC family chips etc..
The embodiment of the present invention has the advantages that short detection time, high precision, wide coverage.
Power module 40 is electrically connected with processor 20, for example, power module 40 can use 100W, 12V Switching Power Supply, is given
The anti-device 100 of trailing of whole video is independently-powered, unit operation, it is ensured that the anti-device 100 of trailing of video can normally be run always.
As a kind of embodiment, the anti-device 100 of trailing of video includes electrically connecting with processor 20, for storing video figure
The memory 50 of picture.Memory 50 is used to store corresponding video image and corresponding firmware program etc..
Fig. 2 is refer to, the embodiment of the present invention additionally provides a kind of anti-trailing system of video, including the anti-trailing device of video
100 and control terminal 200.
Video is anti-to trail the communication module 60 that device 100 also includes electrically connecting with processor 20, and control terminal 200 passes through logical
Letter module 60 is connected with the anti-device 100 of trailing of video.For example, control terminal 200 is connected with credential reading device, control terminal 200
The certificate of reading meets after clearance condition, and generation starts to trail the command signal of detection, and the instruction for starting to trail detection is believed
Number send to video is anti-and trail device 100, video is anti-to be trailed device 100 and start to analyze corresponding video image, is regarded described in detection
Whether trailing situation is occurred in frequency image.
As a kind of embodiment, communication module 60 be 485 communication modules, WIFI communication modules, bluetooth communication and
One or more in Zigbee communication module.Preferably, communication module 60 is 485 communication modules, passes through R232 interfaces and place
Manage the connecting communication of device 20.
Fig. 3 is refer to, the embodiment of the present invention additionally provides a kind of anti-trailing method of video, and the anti-trailing method of video is used to regard
Frequently anti-trailing system, the anti-trailing method of video includes acquisition step S1, stratification step S2, into detecting step S3, instruction
Detecting step S4, trailing detecting step S5 and trailing alarming step S6.
Acquisition step S1:Gather the video image at target area scene.
Stratification step S2:If the video image is divided into dried layer.
Into detecting step S3:The background subtraction of the predetermined layer of video image is analyzed, detects whether that someone enters.
Command detection step S4:After someone's entrance is detected, detect whether to receive the instruction for starting to trail detection
Signal.Start to trail the command signal that the command signal of detection automatically generates for control terminal 200, for example, control terminal 200 exists
When receiving the related certificate information of passenger and verifying that the passenger meets clearance condition, control corresponding gate to open and let pass, simultaneously
Generation starts to trail the command signal of detection, starts to trail detection.
Trail detecting step S5:If receiving the signal for starting to trail detection, further analyze every layer and corresponding regard
Frequency image, detects whether trailing situation occur.
Trail alarming step S6:Detect and occur after trailing situation, produce trailing alarm signal and alarmed, and will trail
Information is uploaded.For example, being uploaded to control terminal 200 by information is trailed, related management personnel are reminded to occur trailing phenomenon.
As a kind of embodiment, the anti-trailing method of video also includes:
Swarm into alarming step S7:If not receiving the signal for starting to trail detection, alarm signal progress is swarmed into generation
Alarm, and information upload will be swarmed into.For example, will swarm into information is uploaded to control terminal 200, related management personnel are reminded to have
People swarms into target area.
As a kind of embodiment, also include after trailing detecting step S6:
Leave detecting step:The background subtraction of the predetermined layer of video image is analyzed, whether people after gate by leaving mesh for detection
Region is marked, does not leave and then produce correspondence alerting signal, reminds the people stayed to leave target area.
As a kind of embodiment, trail detecting step S6 and calculated using following steps:
Gray value calculation procedure:The bianry image gray value of the video image after calculating layering is carried out using equation below:
Wherein, depth (x) values refer to the corresponding depth value of the gray value of pixel x in depth map, and height refers to that layering refers to
Determine with a distance from from camera, f (x) is the layering bianry image gray value of generation;
Frame difference image calculation procedure:The analysis for carrying out connected domain by each layer of video image, wherein, the first half it is several layers of go out
Existing two or more connected domains, and connected domain is close to circle, then to there is trailing situation;Lower half it is several layers of occur two or with
On connected domain, and detect that connected domain has the movement locus of people's activity by moving interframe difference algorithm, then to there is tail
With situation:
D (t)=F (t)-F (t-1);
Wherein, t is current time, and F (t) refers to current frame image, and F (t-1) refers to previous frame image, and D (t) refers to frame difference image.
In addition, one of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method,
It can be by program to instruct the hardware of correlation to complete, described program can be stored in a computer-readable recording medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understand and these embodiments can be carried out without departing from the principles and spirit of the present invention a variety of changes, modification, replace
And modification, the scope of the present invention limits by appended claims and its equivalency range.
Claims (10)
1. a kind of anti-trailing method of video, it is characterised in that the anti-trailing method of video is used for the anti-trailing system of video, described
Method includes:
Acquisition step:Gather the video image at target area scene;
Stratification step:If the video image is divided into dried layer;
Into detecting step:The background subtraction of the predetermined layer of video image is analyzed, detects whether that someone enters;
Command detection step:After someone's entrance is detected, detect whether to receive the command signal for starting to trail detection;
Trail detecting step:If receiving the signal for starting to trail detection, every layer of corresponding video image is further analyzed,
Detect whether trailing situation occur;And
Trail alarming step:Detect and occur after trailing situation, produce trailing alarm signal and alarmed, and will trail in information
Pass.
2. the anti-trailing method of video as claimed in claim 1, it is characterised in that the anti-trailing method of video also includes:
Swarm into alarming step:If not receiving the signal for starting to trail detection, generation is swarmed into alarm signal and alarmed, and
Information upload will be swarmed into.
3. the anti-trailing method of video as claimed in claim 1, it is characterised in that the trailing detecting step uses following steps
Calculated:
Gray value calculation procedure:The bianry image gray value of the video image after calculating layering is carried out using equation below:
Wherein, depth (x) values refer to the corresponding depth value of the gray value of pixel x in depth map, height refer to layering specify from
The distance of camera, f (x) is the layering bianry image gray value of generation;
Frame difference image calculation procedure:By the analysis of each layer of progress connected domain of video image, wherein, the first half is several layers of to occur two
Individual or more connected domain, and connected domain is close to circle, then to there is trailing situation;The several layers of appearance in lower half are two or more
Connected domain, and detect that connected domain has the movement locus of people's activity by moving interframe difference algorithm, then trail feelings for appearance
Condition:
D (t)=F (t)-F (t-1);
Wherein, t is current time, and F (t) refers to current frame image, and F (t-1) refers to previous frame image, and D (t) refers to frame difference image.
4. a kind of anti-trailing device of video, it is characterised in that the anti-device of trailing of the video includes:
Gather the filming apparatus of the video image at target area scene;
Electrically connected with filming apparatus, if the video image is divided into dried layer carries out analysis detection and when detecting trailing situation
Produce the processor for trailing alarm signal;
Electrically connected with processor, according to the warning device of the alarm signal alert;And
The power module electrically connected with processor.
5. the anti-trailing device of video as claimed in claim 4, it is characterised in that the warning device include controller and with control
The display device of the display alarm information of device electrical connection processed, the controller is electrically connected with processor.
6. the anti-trailing device of video as claimed in claim 5, it is characterised in that the warning device also includes and controller electricity
The indicator lamp for being used to alarm of connection.
7. the anti-trailing device of video as claimed in claim 4, it is characterised in that the warning device includes being electrically connected with processor
Connect, send the sound-producing device of audio alert information.
8. the anti-trailing device of video as claimed in claim 4, it is characterised in that the anti-device of trailing of the video includes and processing
Device is electrically connected, the memory for store video images.
9. a kind of anti-trailing system of video, it is characterised in that the system includes regarding as any one of claim 4-8
Frequently anti-trailing device, the video is anti-to trail the communication module that device also includes electrically connecting with processor, and the system also includes
It is connected by the anti-device of trailing of communication module and video, the anti-control terminal for trailing device of control video.
10. the anti-trailing system of video as claimed in claim 9, it is characterised in that the communication module be 485 communication modules,
One or more in WIFI communication modules, bluetooth communication and Zigbee communication module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710143055.1A CN106961576A (en) | 2017-03-10 | 2017-03-10 | video anti-tailing method, device and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710143055.1A CN106961576A (en) | 2017-03-10 | 2017-03-10 | video anti-tailing method, device and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106961576A true CN106961576A (en) | 2017-07-18 |
Family
ID=59470098
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710143055.1A Pending CN106961576A (en) | 2017-03-10 | 2017-03-10 | video anti-tailing method, device and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106961576A (en) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108280952A (en) * | 2018-01-25 | 2018-07-13 | 盛视科技股份有限公司 | Passenger trailing monitoring method based on foreground object segmentation |
CN108924497A (en) * | 2018-07-17 | 2018-11-30 | 浙江理工大学 | A kind of unmanned detecting system of 3D and method |
CN109147119A (en) * | 2018-08-01 | 2019-01-04 | 珠海格力电器股份有限公司 | Intelligent door lock and operation execution method and device of intelligent door lock |
CN109801408A (en) * | 2018-12-06 | 2019-05-24 | 安徽凯川电力保护设备有限公司 | A kind of access control management method for computer room |
CN109977796A (en) * | 2019-03-06 | 2019-07-05 | 新华三技术有限公司 | Trail current detection method and device |
CN110827456A (en) * | 2019-11-12 | 2020-02-21 | 苏州中科先进技术研究院有限公司 | Gate entrance and exit safety prompting system and method |
CN111027349A (en) * | 2018-10-10 | 2020-04-17 | 百度在线网络技术(北京)有限公司 | Anti-tailing prompting method, device, equipment and storage medium |
CN111192391A (en) * | 2018-10-25 | 2020-05-22 | 杭州海康威视数字技术股份有限公司 | Pedestrian passageway gate control method and device based on images and/or videos |
CN112037403A (en) * | 2020-07-22 | 2020-12-04 | 四川科达乐气象科技有限公司 | Personnel safety monitoring system and method based on embedded gateway |
CN112907796A (en) * | 2019-12-03 | 2021-06-04 | 浙江宇视科技有限公司 | Gate channel system, pedestrian behavior detection method and device, and storage medium |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103116959A (en) * | 2013-01-25 | 2013-05-22 | 上海博超科技有限公司 | Analyzing and recognizing method for abnormal behaviors in intelligent videos |
CN103183042A (en) * | 2013-03-05 | 2013-07-03 | 安徽恒源煤电股份有限公司 | Pedestrian monitoring and alarming system used on electric locomotive and based on image processing and method |
CN203126894U (en) * | 2013-03-05 | 2013-08-14 | 安徽恒源煤电股份有限公司 | Electric locomotive pedestrian monitoring and alarming system based on image processing |
CN103400148A (en) * | 2013-08-02 | 2013-11-20 | 上海泓申科技发展有限公司 | Video analysis-based bank self-service area tailgating behavior detection method |
US20150043782A1 (en) * | 2013-08-08 | 2015-02-12 | Convoy Technologies Llc | System, apparatus, and method of detecting and displaying obstacles and data associated with the obstacles |
CN105427343A (en) * | 2015-11-18 | 2016-03-23 | 中国科学院信息工程研究所 | Moving target detecting and tracking method based on DM8148 development board |
US20160217338A1 (en) * | 2015-01-26 | 2016-07-28 | Alibaba Group Holding Limited | Method and device for face in-vivo detection |
CN106182024A (en) * | 2016-07-11 | 2016-12-07 | 天津艾思科尔科技有限公司 | A kind of available image carries out the household service robot of gait detection |
CN106210634A (en) * | 2016-07-18 | 2016-12-07 | 四川君逸数码科技股份有限公司 | A kind of wisdom gold eyeball identification personnel fall down to the ground alarm method and device |
CN206908737U (en) * | 2017-03-10 | 2018-01-19 | 盛视科技股份有限公司 | Video anti-trailing device and system |
-
2017
- 2017-03-10 CN CN201710143055.1A patent/CN106961576A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103116959A (en) * | 2013-01-25 | 2013-05-22 | 上海博超科技有限公司 | Analyzing and recognizing method for abnormal behaviors in intelligent videos |
CN103183042A (en) * | 2013-03-05 | 2013-07-03 | 安徽恒源煤电股份有限公司 | Pedestrian monitoring and alarming system used on electric locomotive and based on image processing and method |
CN203126894U (en) * | 2013-03-05 | 2013-08-14 | 安徽恒源煤电股份有限公司 | Electric locomotive pedestrian monitoring and alarming system based on image processing |
CN103400148A (en) * | 2013-08-02 | 2013-11-20 | 上海泓申科技发展有限公司 | Video analysis-based bank self-service area tailgating behavior detection method |
US20150043782A1 (en) * | 2013-08-08 | 2015-02-12 | Convoy Technologies Llc | System, apparatus, and method of detecting and displaying obstacles and data associated with the obstacles |
US20160217338A1 (en) * | 2015-01-26 | 2016-07-28 | Alibaba Group Holding Limited | Method and device for face in-vivo detection |
CN105427343A (en) * | 2015-11-18 | 2016-03-23 | 中国科学院信息工程研究所 | Moving target detecting and tracking method based on DM8148 development board |
CN106182024A (en) * | 2016-07-11 | 2016-12-07 | 天津艾思科尔科技有限公司 | A kind of available image carries out the household service robot of gait detection |
CN106210634A (en) * | 2016-07-18 | 2016-12-07 | 四川君逸数码科技股份有限公司 | A kind of wisdom gold eyeball identification personnel fall down to the ground alarm method and device |
CN206908737U (en) * | 2017-03-10 | 2018-01-19 | 盛视科技股份有限公司 | Video anti-trailing device and system |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108280952A (en) * | 2018-01-25 | 2018-07-13 | 盛视科技股份有限公司 | Passenger trailing monitoring method based on foreground object segmentation |
CN108924497A (en) * | 2018-07-17 | 2018-11-30 | 浙江理工大学 | A kind of unmanned detecting system of 3D and method |
CN109147119A (en) * | 2018-08-01 | 2019-01-04 | 珠海格力电器股份有限公司 | Intelligent door lock and operation execution method and device of intelligent door lock |
CN111027349A (en) * | 2018-10-10 | 2020-04-17 | 百度在线网络技术(北京)有限公司 | Anti-tailing prompting method, device, equipment and storage medium |
CN111027349B (en) * | 2018-10-10 | 2023-08-29 | 百度在线网络技术(北京)有限公司 | Anti-trailing prompting method, device, equipment and storage medium |
CN111192391A (en) * | 2018-10-25 | 2020-05-22 | 杭州海康威视数字技术股份有限公司 | Pedestrian passageway gate control method and device based on images and/or videos |
CN111192391B (en) * | 2018-10-25 | 2022-09-23 | 杭州海康威视数字技术股份有限公司 | Pedestrian passageway gate control method and device based on images and/or videos |
CN109801408A (en) * | 2018-12-06 | 2019-05-24 | 安徽凯川电力保护设备有限公司 | A kind of access control management method for computer room |
CN109977796A (en) * | 2019-03-06 | 2019-07-05 | 新华三技术有限公司 | Trail current detection method and device |
CN110827456A (en) * | 2019-11-12 | 2020-02-21 | 苏州中科先进技术研究院有限公司 | Gate entrance and exit safety prompting system and method |
CN112907796A (en) * | 2019-12-03 | 2021-06-04 | 浙江宇视科技有限公司 | Gate channel system, pedestrian behavior detection method and device, and storage medium |
CN112037403A (en) * | 2020-07-22 | 2020-12-04 | 四川科达乐气象科技有限公司 | Personnel safety monitoring system and method based on embedded gateway |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106961576A (en) | video anti-tailing method, device and system | |
US9070023B2 (en) | System and method of alerting a driver that visual perception of pedestrian may be difficult | |
CN104103030B (en) | Image analysis method, camera apparatus, control apparatus and control method | |
CN111242025B (en) | Real-time action monitoring method based on YOLO | |
CN106504580A (en) | A kind of method for detecting parking stalls and device | |
US20240194043A1 (en) | Luminaire Network with Sensors | |
CN110516529A (en) | It is a kind of that detection method and system are fed based on deep learning image procossing | |
CN104282169A (en) | Embedded integration parking space detector and detecting method thereof | |
JP2014006586A (en) | Information processor, and control method and computer program thereof | |
CN107705326A (en) | A kind of intrusion detection method that crosses the border in security sensitive region | |
CN112580600A (en) | Dust concentration detection method and device, computer equipment and storage medium | |
CN206908737U (en) | Video anti-trailing device and system | |
CN106600628A (en) | Target object identification method and device based on infrared thermal imaging system | |
CN102902954A (en) | Pedestrian detection system and method based on internet-of-things intelligent household security gateway | |
CN113505676A (en) | Intelligent detection method and device for monitoring marine safety operation of ship | |
CN114267082A (en) | Bridge side falling behavior identification method based on deep understanding | |
JP5370009B2 (en) | Monitoring system | |
CN111539264A (en) | Ship flame detection positioning system and detection positioning method | |
CN113191270B (en) | Method and device for detecting throwing event, electronic equipment and storage medium | |
KR102713804B1 (en) | System for monitoring black ice | |
CN105262984B (en) | A kind of detector with fixing device | |
CN108256502A (en) | Security system based on image procossing | |
CN109063544A (en) | A kind of method, system, computer equipment and the storage medium of dump truck detection | |
CN105023436B (en) | Transport information appraisal procedure | |
CN207530963U (en) | A kind of illegal geofence system based on video monitoring |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170718 |