CN115002341A - Target monitoring method and system based on segmentation prevention - Google Patents
Target monitoring method and system based on segmentation prevention Download PDFInfo
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- G—PHYSICS
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V8/00—Prospecting or detecting by optical means
- G01V8/10—Detecting, e.g. by using light barriers
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19613—Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19697—Arrangements wherein non-video detectors generate an alarm themselves
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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
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Abstract
The invention discloses a target monitoring method and a target monitoring system based on defense sector segmentation, wherein the target monitoring based on defense sector segmentation comprises the following steps: step 1: acquiring position information of a suspected target in a prevention and control area, and primarily judging the position information; step 2: dividing the prevention and control area into a plurality of monitoring units, and determining a video preset position corresponding to the suspected target based on each monitoring unit; and step 3: adjusting a video monitoring visual angle to a video preset position corresponding to the suspected target based on the video preset position corresponding to the suspected target, and acquiring a video image of the suspected target; and 4, step 4: and extracting target image information of the suspected target from the video image, carrying out secondary judgment on the target image information, and if the secondary judgment result exceeds a preset value and the primary judgment result meets a preset rule, determining that the suspected target is a real target. The target monitoring method can better meet the current regional security application requirements by judging the combined application twice.
Description
Technical Field
The invention belongs to the technical field of intelligent security and protection, and particularly relates to a target monitoring method and system based on defense sector segmentation.
Background
With the continuous development of intelligent security products, the conventional security products are transited from a traditional single means to a multidimensional linkage mode, and gradually develop into a multidimensional technology combined monitoring mode combining active detection and video monitoring. At present, most of mainstream security products such as infrared correlation, vibration optical fibers, leakage cables and the like are combined with a video monitoring technology to assist in confirming an illegal invasion target. With the continuous change of security and protection requirements, regional area type face-shaped security and protection products are developed on the basis of the existing perimeter type security and protection products, particularly the area is important for an unattended protection area, the whole prevention and control area can be effectively covered, and once a target enters the prevention area, the target can be timely found and tracked no matter whether the target smoothly passes through the boundary area or not. The rapid development of technologies such as artificial intelligence, internet of things and image recognition promotes the continuous promotion and application innovation of security technology, so that the fusion application of multi-dimensional detection sensing equipment and video monitoring technology is derived.
At present, video monitoring technology is fused into a plurality of security products, a fixed bolt guarding mode is mostly adopted, one device is deployed at intervals, the application requirements of perimeter type defense areas can be effectively met, and the purpose of capturing images of targets crossing the perimeter can be achieved. But for a large area of a plane, a strict perimeter area is not provided, the real-time tracking of a target and the acquisition of an image are realized, and obviously, the traditional perimeter type technical prevention means is difficult to meet the application requirements; meanwhile, with the change of the user on the technical defense application mode, the whole process tracking and monitoring of the invading target gradually becomes the current main application mode, and the video image acquisition mode is also changed from the original fixed mode to a 360-degree omnibearing non-dead-angle monitoring mode. However, the existing regional defense technology is not ideal, and mainly focuses on real-time capture, video linkage and target identification of moving targets.
Therefore, it is desirable to provide a target monitoring method capable of effectively solving the problems in the prior art in real-time capturing, video linkage, and target identification of a moving target.
Disclosure of Invention
The invention aims to provide a target monitoring method based on defense sector segmentation, which aims to solve the problems of real-time capture, video linkage and target identification of a moving target in the prior art.
In order to achieve the above object, the present invention provides a target monitoring method based on segmentation prevention, which comprises:
step 1: acquiring position information of a suspected target in a prevention and control area, and primarily judging the position information;
step 2: dividing the prevention and control area into a plurality of monitoring units, and determining a video preset position corresponding to the suspected target based on each monitoring unit;
and step 3: adjusting a video monitoring visual angle to a video preset position corresponding to the suspected target based on the video preset position corresponding to the suspected target, and acquiring a video image of the suspected target;
and 4, step 4: and extracting target image information of the suspected target from the video image, carrying out secondary judgment on the target image information, and if the secondary judgment result exceeds a preset value and the primary judgment result meets a preset rule, determining that the suspected target is a real target.
Optionally, the step 1 includes:
acquiring position information of the suspected target in the prevention and control area;
and judging whether the track information and the signal intensity of the suspected target meet preset rules or not based on the position information of the suspected target, and if so, determining the suspected target to be a quasi-real target.
Optionally, the step 2 includes:
dividing the prevention and control area into a plurality of monitoring units and giving attribute information corresponding to each monitoring unit, wherein the attribute information comprises an ID, an area size and an area position;
for each monitoring unit, determining a corresponding video presetting bit based on attribute information of the monitoring unit;
and comparing the position information with the attribute information to determine the monitoring unit where the suspected target is located, and further determining a video preset position corresponding to the suspected target based on the video preset position corresponding to the monitoring unit.
Optionally, the step 4 includes:
performing frame extraction processing on the video image and extracting target image information corresponding to each frame;
and carrying out target judgment on the target image information corresponding to each frame in a voting mode, wherein if the number of votes of the suspected target exceeds the preset value and the primary judgment result meets the preset rule, the suspected target is a real target.
Optionally, the method further comprises:
storing the position information and the video image;
and the number of the first and second groups,
and displaying the video image and pushing alarm information when the suspected target is the real target.
A target monitoring system based on a segmentation defense, comprising:
the radar equipment is used for acquiring the position information of a suspected target in the prevention and control area and carrying out primary judgment on the position information;
the linkage control unit is respectively connected with the radar equipment and the video monitoring equipment and is used for dividing the prevention and control area into a plurality of monitoring units and determining a video preset position corresponding to the suspected target based on each monitoring unit;
the video monitoring equipment is used for adjusting a video monitoring visual angle to a video preset position corresponding to the suspected target based on the video preset position corresponding to the suspected target and acquiring a video image of the suspected target;
and the intelligent analysis unit is respectively connected with the radar equipment and the video monitoring equipment and is used for extracting target image information of the suspected target from the video image and carrying out secondary judgment on the target image information, and if the secondary judgment result exceeds a preset value and the primary judgment result meets a preset rule, the suspected target is a real target.
Optionally, the radar device includes a position information obtaining module and a first judging module;
the position information acquisition module is used for acquiring the position information of the suspected target in the prevention and control area;
the first judging module is configured to judge whether the track information and the signal strength of the suspected target meet preset rules based on the position information of the suspected target, and if the track information and the signal strength of the suspected target meet the preset rules, the suspected target is a quasi-real target.
Optionally, the linkage control unit includes a monitoring unit dividing module and a preset bit calling module;
the monitoring unit dividing module is used for dividing the prevention and control area into a plurality of monitoring units and giving attribute information corresponding to each monitoring unit, wherein the attribute information comprises an ID (identity), an area size and an area position, and meanwhile, aiming at each monitoring unit, a corresponding video preset position is determined based on the attribute information of the monitoring unit;
the preset bit calling module is configured to determine the monitoring unit where the suspected target is located by comparing the position information with the attribute information, and then determine a video preset bit corresponding to the suspected target based on the video preset bit corresponding to the monitoring unit.
Optionally, the intelligent analysis unit includes an image extraction module and a second judgment module;
the image extraction module is used for performing frame extraction processing on the video image and extracting target image information corresponding to each frame;
and the second judging module is used for judging the target of the target image information corresponding to each frame in a voting mode, and if the number of votes of the suspected target exceeds the preset value and the primary judging result meets the preset rule, the suspected target is a real target.
Optionally, the method further comprises:
the data storage module is used for storing the position information and the video image;
and the data display and alarm module is used for displaying the video image and pushing alarm information when the suspected target is the real target.
The invention has the beneficial effects that:
the target monitoring method firstly carries out primary judgment on the position information of the suspected target, then carries out secondary judgment on the target image information of the suspected target, determines whether the suspected target is a real target or not through the secondary judgment, and realizes the video monitoring demanding target rechecking capability for the three-dimensional and seamless monitoring defense areas of a large-range and wide-area defense area by jointly applying the secondary judgment, thereby effectively solving the problems in the aspects of real-time capture, video linkage and target identification of the moving target in the prior art.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings, wherein like reference numerals generally represent like parts in the exemplary embodiments of the present invention.
FIG. 1 shows a flow diagram of a target monitoring method based on a fence cut according to one embodiment of the invention.
Fig. 2 is a schematic view illustrating division of a defense area of a target monitoring method based on a defense sector according to an embodiment of the present invention.
FIG. 3 illustrates a block diagram of a target monitoring system based on a zonal defense, according to one embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in more detail below. While the following describes preferred embodiments of the present invention, it should be understood that the present invention may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The invention discloses a target monitoring method based on defense segmentation, which comprises the following steps:
step 1: acquiring position information of a suspected target in a prevention and control area, and primarily judging the position information;
step 2: dividing the prevention and control area into a plurality of monitoring units, and determining a video preset position corresponding to the suspected target based on each monitoring unit;
and step 3: adjusting a video monitoring visual angle to a video preset position corresponding to the suspected target based on the video preset position corresponding to the suspected target, and acquiring a video image of the suspected target;
and 4, step 4: and extracting target image information of the suspected target from the video image, carrying out secondary judgment on the target image information, and if the secondary judgment result exceeds a preset value and the primary judgment result meets a preset rule, determining that the suspected target is a real target.
Specifically, the target monitoring method firstly carries out primary judgment on the position information of the suspected target, then carries out secondary judgment on the target image information of the suspected target, determines whether the suspected target is a real target or not through the secondary judgment, and through the secondary judgment and combined application, the target monitoring method better meets the current regional security application requirements, realizes the video monitoring demanding target rechecking capability provided for the three-dimensional and seamless monitoring defense areas of a large-range and wide-area defense area, and can effectively solve the problems in the aspects of real-time capture, video linkage and target identification of the moving target in the prior art.
Furthermore, the target monitoring method can be well suitable for various application scenes, and particularly can give full play to the advantages under severe conditions such as border protection, natural protection areas, unattended areas and the like.
In one example, step 1 comprises:
acquiring position information of a suspected target in a prevention and control area;
and judging whether the track information and the signal intensity of the suspected target meet preset rules or not based on the position information of the suspected target, and if so, determining the suspected target as a quasi-real target.
Specifically, the method comprises the steps of obtaining position information of a suspected target in a prevention and control area by receiving electromagnetic waves of the suspected target in the prevention and control area, realizing real-time detection and tracking of the suspected target, giving a unique ID to the suspected target, recording track information of the suspected target in the moving process, and considering the suspected target to be a true target when the position of the suspected target changes over a preset distance within a preset time, wherein the preset distance is preferably 3 m; meanwhile, the significance of the waveform is judged according to the suspected target reflected wave, generally, the waveforms of personnel, animals and foreign matters with the same size are relatively fixed, and the authenticity of the suspected target is judged according to the reflected wave waveform.
In one example, step 2 comprises:
dividing a prevention and control area into a plurality of monitoring units and giving attribute information corresponding to each monitoring unit, wherein the attribute information comprises an ID (identity), an area size and an area position;
for each monitoring unit, determining a corresponding video preset bit based on the attribute information of the monitoring unit;
and comparing the position information with the attribute information to determine a monitoring unit where the suspected target is located, and further determining a video preset bit corresponding to the suspected target based on the video preset bit corresponding to the monitoring unit.
In one example, step 4 comprises:
performing frame extraction processing on the video image and extracting target image information corresponding to each frame;
and carrying out target judgment on target image information corresponding to each frame in a voting mode, wherein if the number of votes of the suspected target exceeds a preset value and the primary judgment result meets a preset rule, the suspected target is a real target.
Specifically, in practical application, the target is mainly determined by identifying the targets such as people, animals, and foreign objects, and in practical application, the video image is subjected to frame extraction processing at a preset frame extraction frequency, wherein the frame extraction frequency is preferably 10 frames per second.
In one example, the object monitoring method further comprises:
storing the position information and the video image;
and the number of the first and second groups,
and displaying the video image and pushing alarm information when the suspected target is a real target.
Specifically, the target monitoring method disclosed by the invention combines an intelligent analysis algorithm, and optimization and upgrading are performed on a target distinguishing mechanism and a target identification method, so that the alarm accuracy is improved.
A segmentation-prevention based target monitoring system comprising:
the radar equipment is used for acquiring the position information of a suspected target in the prevention and control area and primarily judging the position information;
the linkage control unit is respectively connected with the radar equipment and the video monitoring equipment and is used for dividing the prevention and control area into a plurality of monitoring units and determining a video preset position corresponding to the suspected target based on each monitoring unit;
the video monitoring equipment is used for adjusting a video monitoring visual angle to a video preset position corresponding to the suspected target based on the video preset position corresponding to the suspected target and acquiring a video image of the suspected target;
and the intelligent analysis unit is respectively connected with the radar equipment and the video monitoring equipment and is used for extracting target image information of the suspected target from the video image and carrying out secondary judgment on the target image information, and if the secondary judgment result exceeds a preset value and the primary judgment result meets a preset rule, the suspected target is a real target.
Specifically, the target monitoring system of the invention adopts a mode of combining radar equipment and video monitoring equipment, the radar equipment is used as an active detection device to effectively monitor suspected targets in a defense area and obtain the position information of the suspected targets, and the authenticity of the suspected targets is judged for the first time, meanwhile, the video monitoring equipment is quickly positioned to the corresponding position according to the position information of the suspected target provided by the radar equipment, and obtaining the target image information of the suspected target, and carrying out secondary judgment on the authenticity of the target image information, the method can better meet the current regional security application requirement through secondary judgment, realize the video monitoring demanding target rechecking capability provided for the three-dimensional and seamless monitoring defense areas in the large-range and wide-area defense areas, and effectively solve the problems existing in the aspects of real-time capture, video linkage and target identification of the moving target in the prior art.
Furthermore, the coverage detection distance of the radar equipment can reach 1 kilometer, the coverage angle is 120 degrees, the position information of the suspected target can be obtained in real time, the radar has the characteristics of wide coverage range, strong environmental adaptability, active detection and the like, the sensing and the detection of the long-distance suspected target are realized, and meanwhile, the video monitoring equipment can be driven to lock the suspected target in time.
Furthermore, the video monitoring equipment adopts a high-definition intelligent ball machine, has a 360-degree all-dimensional video acquisition function, has the farthest detection distance of 1km, supports 100 preset positions, and has the functions of identifying personnel, animals and foreign matters, extracting characteristics and the like.
And after the radar equipment and the video monitoring equipment acquire the position information and the image information of the suspected target, the position information and the image information are quickly transmitted to the intelligent analysis service unit through a network, the transmitted data of the radar equipment and the video monitoring equipment are respectively processed and analyzed, and the authenticity of the suspected target is researched and judged.
In one example, a radar apparatus includes a position information acquisition module and a first determination module;
the position information acquisition module is used for acquiring the position information of a suspected target in the prevention and control area;
the first judging module is used for judging whether the track information and the signal strength of the suspected target meet preset rules or not based on the position information of the suspected target, and if the track information and the signal strength of the suspected target meet the preset rules, the suspected target is a quasi-real target.
In one example, the linkage control unit comprises a monitoring unit dividing module and a preset bit calling module;
the monitoring unit dividing module is used for dividing the prevention and control area into a plurality of monitoring units and endowing the monitoring units with corresponding attribute information, wherein the attribute information comprises an ID (identity), an area size and an area position, and meanwhile, for each monitoring unit, a corresponding video preset position is determined based on the attribute information of the monitoring unit;
and the preset bit calling module is used for determining a monitoring unit where the suspected target is located by comparing the position information with the attribute information, and further determining a video preset bit corresponding to the suspected target based on the video preset bit corresponding to the monitoring unit.
In one example, the intelligent analysis unit includes an image extraction module and a second determination module;
the image extraction module is used for performing frame extraction processing on the video image and extracting target image information corresponding to each frame;
and the second judgment module is used for judging the target of the target image information corresponding to each frame in a voting mode, and if the number of votes of the suspected target exceeds a preset value and the primary judgment result meets a preset rule, the suspected target is a real target.
Specifically, in practical applications, the preset value is preferably half of the total number of tickets.
In one example, the object monitoring system further comprises:
the data storage module is used for storing the position information and the video image;
and the data display and alarm module is used for displaying the video image and pushing alarm information when the suspected target is a real target.
Specifically, the video image data is structured data, occupies a huge storage space, and generally requires more than 6 months of storage time; the data display and alarm module provides comprehensive display functions of multi-dimensional data such as alarm information, suspected target tracks, alarm videos and the like, when a suspected target enters a defense area, the alarm information is pushed at the first time, and video image data at the current moment are called for manual rechecking, so that an invading target can be found effectively in time.
Example 1
As shown in fig. 1, a target monitoring method based on defense segmentation includes:
step 1: acquiring position information of a suspected target in a prevention and control area, and primarily judging the position information;
step 2: dividing the prevention and control area into a plurality of monitoring units, and determining a video preset position corresponding to the suspected target based on each monitoring unit;
and step 3: adjusting a video monitoring visual angle to a video preset position corresponding to the suspected target based on the video preset position corresponding to the suspected target, and acquiring a video image of the suspected target;
and 4, step 4: and extracting target image information of the suspected target from the video image, carrying out secondary judgment on the target image information, and if the secondary judgment result exceeds a preset value and the primary judgment result meets a preset rule, determining that the suspected target is a real target.
Wherein, step 1 includes:
acquiring position information of a suspected target in a prevention and control area;
and judging whether the track information and the signal intensity of the suspected target meet preset rules or not based on the position information of the suspected target, and if so, determining the suspected target as a quasi-real target.
Wherein, step 2 includes:
dividing a prevention and control area into a plurality of monitoring units and giving attribute information corresponding to each monitoring unit, wherein the attribute information comprises an ID (identity), an area size and an area position;
for each monitoring unit, determining a corresponding video preset bit based on the attribute information of the monitoring unit;
and comparing the position information with the attribute information to determine a monitoring unit where the suspected target is located, and further determining a video preset bit corresponding to the suspected target based on the video preset bit corresponding to the monitoring unit.
Specifically, as shown in fig. 2, the prevention and control area is divided into a plurality of monitoring units, each monitoring unit has an area size and a unique ID, for example, 01/02/03 … …, when a suspected target appears at 03 monitoring, the video monitoring device immediately adjusts to a video preset position corresponding to the 03 monitoring unit, and the image viewing angle covers the monitoring unit, so that video linkage is realized.
Wherein, step 4 includes:
performing frame extraction processing on the video image and extracting target image information corresponding to each frame;
and carrying out target judgment on target image information corresponding to each frame in a voting mode, wherein if the number of votes of the suspected target exceeds a preset value and the primary judgment result meets a preset rule, the suspected target is a real target.
Wherein, the target monitoring method further comprises:
storing the position information and the video image;
and the number of the first and second groups,
and displaying the video image and pushing alarm information when the suspected target is a real target.
Example 2
As shown in fig. 3, a target monitoring system based on zoning includes:
the radar equipment is used for acquiring the position information of a suspected target in the prevention and control area and primarily judging the position information;
the linkage control unit is respectively connected with the radar equipment and the video monitoring equipment and is used for dividing the prevention and control area into a plurality of monitoring units and determining a video preset position corresponding to the suspected target based on each monitoring unit;
the video monitoring equipment is used for adjusting a video monitoring visual angle to a video preset position corresponding to the suspected target based on the video preset position corresponding to the suspected target and acquiring a video image of the suspected target;
and the intelligent analysis unit is respectively connected with the radar equipment and the video monitoring equipment and is used for extracting target image information of a suspected target from the video image, carrying out secondary judgment on the target image information, and if a secondary judgment result exceeds a preset value and a primary judgment result meets a preset rule, determining that the suspected target is a real target.
The radar equipment comprises a position information acquisition module and a first judgment module; the position information acquisition module is used for acquiring the position information of a suspected target in the prevention and control area; the first judging module is used for judging whether the track information and the signal strength of the suspected target meet preset rules or not based on the position information of the suspected target, and if the track information and the signal strength of the suspected target meet the preset rules, the suspected target is a quasi-real target. The linkage control unit comprises a monitoring unit dividing module and a preset bit calling module; the monitoring unit dividing module is used for dividing the prevention and control area into a plurality of monitoring units and endowing the monitoring units with corresponding attribute information, wherein the attribute information comprises an ID (identity), an area size and an area position, and meanwhile, aiming at each monitoring unit, the corresponding video preset position is determined based on the attribute information of the monitoring unit; and the preset bit calling module is used for determining a monitoring unit where the suspected target is located by comparing the position information with the attribute information, and further determining a video preset bit corresponding to the suspected target based on the video preset bit corresponding to the monitoring unit. The intelligent analysis unit comprises an image extraction module and a second judgment module; the image extraction module is used for performing frame extraction processing on the video image and extracting target image information corresponding to each frame; and the second judgment module is used for judging the target of the target image information corresponding to each frame in a voting mode, and if the number of votes of the suspected target exceeds a preset value and the primary judgment result meets a preset rule, the suspected target is a real target.
The object monitoring system further comprises:
the data storage module is used for storing the position information and the video image;
and the data display and alarm module is used for displaying the video image and pushing alarm information when the suspected target is a real target.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.
Claims (10)
1. A target monitoring method based on segmentation prevention is characterized by comprising the following steps:
step 1: acquiring position information of a suspected target in a prevention and control area, and performing primary judgment on the position information;
step 2: dividing the prevention and control area into a plurality of monitoring units, and determining a video preset position corresponding to the suspected target based on each monitoring unit;
and step 3: adjusting a video monitoring visual angle to a video preset position corresponding to the suspected target based on the video preset position corresponding to the suspected target, and acquiring a video image of the suspected target;
and 4, step 4: and extracting target image information of the suspected target from the video image, carrying out secondary judgment on the target image information, and if the secondary judgment result exceeds a preset value and the primary judgment result meets a preset rule, determining that the suspected target is a real target.
2. The target monitoring method based on the defense sector segmentation according to claim 1,
the step 1 comprises the following steps:
acquiring position information of the suspected target in the prevention and control area;
and judging whether the track information and the signal intensity of the suspected target meet preset rules or not based on the position information of the suspected target, and if so, determining the suspected target to be a quasi-real target.
3. The segmentation-prevention-based target monitoring method according to claim 1,
the step 2 comprises the following steps:
dividing the prevention and control area into a plurality of monitoring units and giving attribute information corresponding to each monitoring unit, wherein the attribute information comprises an ID, an area size and an area position;
for each monitoring unit, determining a corresponding video preset bit based on the attribute information of the monitoring unit;
and comparing the position information with the attribute information to determine the monitoring unit where the suspected target is located, and further determining a video preset position corresponding to the suspected target based on the video preset position corresponding to the monitoring unit.
4. The segmentation-prevention-based target monitoring method according to claim 1,
the step 4 comprises the following steps:
performing frame extraction processing on the video image and extracting target image information corresponding to each frame;
and carrying out target judgment on the target image information corresponding to each frame in a voting mode, wherein if the number of votes of the suspected target exceeds the preset value and the primary judgment result meets the preset rule, the suspected target is a real target.
5. The segmentation-prevention-based target monitoring method according to claim 1, further comprising:
storing the position information and the video image;
and (c) a second step of,
and displaying the video image and pushing alarm information when the suspected target is the real target.
6. A target monitoring system based on segmentation prevention is characterized by comprising:
the radar equipment is used for acquiring the position information of a suspected target in the prevention and control area and carrying out primary judgment on the position information;
the linkage control unit is respectively connected with the radar equipment and the video monitoring equipment and is used for dividing the prevention and control area into a plurality of monitoring units and determining a video preset position corresponding to the suspected target based on each monitoring unit;
the video monitoring equipment is used for adjusting a video monitoring visual angle to a video preset position corresponding to the suspected target based on the video preset position corresponding to the suspected target and acquiring a video image of the suspected target;
and the intelligent analysis unit is respectively connected with the radar equipment and the video monitoring equipment and is used for extracting target image information of the suspected target from the video image and carrying out secondary judgment on the target image information, and if the secondary judgment result exceeds a preset value and the primary judgment result meets a preset rule, the suspected target is a real target.
7. The segmentation-prevention-based target monitoring system according to claim 6, wherein the radar device includes a position information obtaining module and a first judging module;
the position information acquisition module is used for acquiring the position information of the suspected target in the prevention and control area;
the first judging module is configured to judge whether the track information and the signal strength of the suspected target meet preset rules based on the position information of the suspected target, and if the track information and the signal strength of the suspected target meet the preset rules, the suspected target is a quasi-real target.
8. The segmentation-prevention-based target monitoring system according to claim 6, wherein the linkage control unit comprises a monitoring unit dividing module and a preset bit calling module;
the monitoring unit dividing module is used for dividing the prevention and control area into a plurality of monitoring units and giving attribute information corresponding to each monitoring unit, wherein the attribute information comprises an ID (identity), an area size and an area position, and meanwhile, aiming at each monitoring unit, a corresponding video preset position is determined based on the attribute information of the monitoring unit;
the preset bit calling module is configured to determine the monitoring unit where the suspected target is located by comparing the position information with the attribute information, and then determine a video preset bit corresponding to the suspected target based on the video preset bit corresponding to the monitoring unit.
9. The segmentation-prevention-based target monitoring system according to claim 6, wherein the intelligent analysis unit comprises an image extraction module and a second judgment module;
the image extraction module is used for performing frame extraction processing on the video image and extracting target image information corresponding to each frame;
and the second judging module is used for judging the target of the target image information corresponding to each frame in a voting mode, and if the number of votes of the suspected target exceeds the preset value and the primary judging result meets the preset rule, the suspected target is a real target.
10. The segmentation-prevention-based target monitoring system of claim 6, further comprising:
the data storage module is used for storing the position information and the video image;
and the data display and alarm module is used for displaying the video image and pushing alarm information when the suspected target is the real target.
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