CN110896459A - Method for freely customizing detection task based on video stream - Google Patents
Method for freely customizing detection task based on video stream Download PDFInfo
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- CN110896459A CN110896459A CN201811068839.3A CN201811068839A CN110896459A CN 110896459 A CN110896459 A CN 110896459A CN 201811068839 A CN201811068839 A CN 201811068839A CN 110896459 A CN110896459 A CN 110896459A
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- video
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- monitoring
- detection task
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/60—Network streaming of media packets
- H04L65/65—Network streaming protocols, e.g. real-time transport protocol [RTP] or real-time control protocol [RTCP]
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- 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
Abstract
The invention relates to the field of computer vision, in particular to a method for freely customizing a detection task based on video streaming, which comprises the following steps: s1: configuring a connection mode of the media stream; s2: setting a video detection task type; s3: newly building or modifying a video monitoring task; s4: configuring monitoring task content; s5: storing the video detection task to a database; s6: and synchronizing the monitoring task into the algorithm in real time. The invention overcomes the technical defects that the cost for target identification in the existing video detection is high and the specific video detection task can not be realized according to the requirements of users, and provides a method for freely customizing the detection task based on a video stream, which can achieve the functions of freely customizing the detection task and docking media streams of various protocols.
Description
Technical Field
The invention relates to the field of computer vision, in particular to a method for freely customizing a detection task based on video streaming.
Background
The video detection is a very important field of artificial intelligence, the video detection can be used for carrying out target identification on animals, plants, people, vehicles and the like, the video detection is a premise of further analysis and monitoring, and the video detection is very wide in application.
The existing video detection target identification usually adopts a camera with a target identification function, but the camera with the target identification function has high purchase cost and few functions, cannot customize a specific video detection task according to the requirements of a user, and has the defects of easy network limitation and poor user experience because the camera is directly butted when in use.
Disclosure of Invention
The invention overcomes the technical defects that the cost for target identification is high and a specific video detection task cannot be realized according to the requirements of users in the existing video detection, and provides a method for freely customizing the detection task based on video stream.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a method for freely customizing a detection task based on video streaming comprises the following steps:
s1: configuring a connection mode of the media stream;
s2: setting a video detection task type;
s3: newly building or modifying a video monitoring task;
s4: configuring monitoring task content;
s5: storing the video detection task to a database;
s6: and synchronizing the monitoring task into the algorithm in real time.
The connection mode of the S1 media stream includes: sequential streaming, real-time streaming; the transmission protocol adopted by the S1 media stream includes: RTSP, RTMP, RTP.
The S2 video detection task types comprise face recognition, animal recognition, plant recognition, personnel intrusion and personnel off duty in video images.
S3 monitoring task content includes: setting a monitoring area, setting confidence coefficient, setting video monitoring time and alarming interval time.
S4 configuring the monitoring task content includes: setting a monitor area, setting the confidence coefficient of a video recognition algorithm, setting video monitoring time and setting alarm interval time by adopting polygons in a video.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that: the method overcomes the technical defects that the cost for target identification is high and a specific video detection task cannot be realized according to the requirements of users in the existing video detection, and provides a method for freely customizing the detection task based on video stream, so that a client can freely customize the detection task according to the self requirements, and the cost for video detection based on target identification is reduced.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product;
it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
Example 1:
in order to solve the technical problems, the technical scheme of the invention is as follows:
as shown in fig. 1, a method for freely customizing a detection task based on a video stream includes the following steps:
s1: configuring a connection mode of the media stream; the connection mode of the S1 media stream includes: sequential streaming, real-time streaming; the transmission protocol adopted by the S1 media stream includes: rtsp (Real Time Streaming Protocol), rtmp (Real Time Messaging Protocol), RTP (Real-Time Transport Protocol), http (hypertext Transfer Protocol), udp (user data Protocol);
s2: setting a video detection task type; the S2 video detection task types comprise face recognition, animal recognition, plant recognition, personnel intrusion and personnel off duty in video images. According to the user's self-defined requirements, the human face in the video image can be identified, the human face is compared, the animals and plants are identified, the human invasion is carried out inside and outside the monitoring area, the people on duty are off duty, and the like, and the detection is carried out.
S3: newly building or modifying a video monitoring task; s3 monitoring task content includes: setting a monitoring area, setting confidence coefficient, setting video monitoring time and alarming interval time. According to the user requirements, the area and time for target identification in video detection, the time for alarming after identification and the like can be set;
s4: configuring monitoring task content; s4 configuring the monitoring task content includes: setting a monitor area, setting the confidence coefficient of a video recognition algorithm, setting video monitoring time and setting alarm interval time by adopting polygons in a video;
s5: storing the video detection task to a database;
s6: and synchronizing the monitoring task into the algorithm in real time.
The terms describing positional relationships in the drawings are for illustrative purposes only and are not to be construed as limiting the patent;
it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (5)
1. A method for freely customizing a detection task based on a video stream, the method comprising the steps of:
s1: configuring a connection mode of the media stream;
s2: setting a video detection task type;
s3: newly building or modifying a video monitoring task;
s4: configuring monitoring task content;
s5: storing the video detection task to a database;
s6: and synchronizing the monitoring task into the algorithm in real time.
2. The method for the video stream-based freely customized detection task according to claim 1, wherein the connection manner of the S1 media stream includes: sequential streaming, real-time streaming; the transmission protocol adopted by the S1 media stream includes: RTSP, RTMP, RTP.
3. The method for video stream-based free-form customization detection task according to claim 1, wherein the S2 video detection task types include face recognition, animal recognition, plant recognition, human intrusion, and human off duty in video images.
4. The method for the video stream-based freely customized task detection according to claim 1, wherein the step of S3 monitoring the task content comprises: setting a monitoring area, setting confidence coefficient, setting video monitoring time and alarming interval time.
5. The method for the video stream-based freely customized detection task according to claim 1, wherein the S4 configuring the monitoring task content comprises: setting a monitor area, setting the confidence coefficient of a video recognition algorithm, setting video monitoring time and setting alarm interval time by adopting polygons in a video.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811068839.3A CN110896459A (en) | 2018-09-13 | 2018-09-13 | Method for freely customizing detection task based on video stream |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811068839.3A CN110896459A (en) | 2018-09-13 | 2018-09-13 | Method for freely customizing detection task based on video stream |
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| CN110896459A true CN110896459A (en) | 2020-03-20 |
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Citations (6)
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| CN103237192A (en) * | 2012-08-20 | 2013-08-07 | 苏州大学 | Intelligent video monitoring system base on multi-camera data fusion |
| US20130201329A1 (en) * | 2011-11-14 | 2013-08-08 | Massachusetts Institute Of Technology | Assisted video surveillance of persons-of-interest |
| CN103248867A (en) * | 2012-08-20 | 2013-08-14 | 苏州大学 | Surveillance method of intelligent video surveillance system based on multi-camera data fusion |
| CN104202575A (en) * | 2014-09-17 | 2014-12-10 | 广州中国科学院软件应用技术研究所 | Video monitoring and processing method and system |
| CN106303403A (en) * | 2015-06-12 | 2017-01-04 | 中国人民公安大学 | Supervising device presetting bit setting, changing method and system |
| CN106803926A (en) * | 2016-12-22 | 2017-06-06 | 南京师范大学 | A kind of video sensor disposition optimization method for taking various monitor tasks into account |
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2018
- 2018-09-13 CN CN201811068839.3A patent/CN110896459A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130201329A1 (en) * | 2011-11-14 | 2013-08-08 | Massachusetts Institute Of Technology | Assisted video surveillance of persons-of-interest |
| CN103237192A (en) * | 2012-08-20 | 2013-08-07 | 苏州大学 | Intelligent video monitoring system base on multi-camera data fusion |
| CN103248867A (en) * | 2012-08-20 | 2013-08-14 | 苏州大学 | Surveillance method of intelligent video surveillance system based on multi-camera data fusion |
| CN104202575A (en) * | 2014-09-17 | 2014-12-10 | 广州中国科学院软件应用技术研究所 | Video monitoring and processing method and system |
| CN106303403A (en) * | 2015-06-12 | 2017-01-04 | 中国人民公安大学 | Supervising device presetting bit setting, changing method and system |
| CN106803926A (en) * | 2016-12-22 | 2017-06-06 | 南京师范大学 | A kind of video sensor disposition optimization method for taking various monitor tasks into account |
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Application publication date: 20200320 |