CN113379984B - Electronic nursing fence system - Google Patents
Electronic nursing fence system Download PDFInfo
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- CN113379984B CN113379984B CN202010117395.9A CN202010117395A CN113379984B CN 113379984 B CN113379984 B CN 113379984B CN 202010117395 A CN202010117395 A CN 202010117395A CN 113379984 B CN113379984 B CN 113379984B
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/02—Mechanical actuation
- G08B13/12—Mechanical actuation by the breaking or disturbance of stretched cords or wires
- G08B13/122—Mechanical actuation by the breaking or disturbance of stretched cords or wires for a perimeter fence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
-
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30241—Trajectory
Abstract
The invention provides an electronic nursing fence system, which comprises: the acquisition unit is used for acquiring real-time video stream data and transmitting the acquired data to the processing unit; the processing unit is used for processing the obtained data by a self-adaptive motion history processing method to obtain a current frame motion detection frame, making a mask on the whole frame and resetting a color value, and filling any polygonal area into white to ensure that the periphery of the circumscribed rectangle is black; the calculation unit is used for solving the intersection of the motion detection frame and the circumscribed rectangle of any polygon and counting the proportion of non-zero values of the intersection part in the whole motion detection frame; and the judging unit is used for judging the proportional value in the calculating unit to obtain whether the proportional value is in the interior of the periphery of any polygon.
Description
Technical Field
The invention relates to the technical field of perimeter safety precaution, in particular to an electronic nursing fence system.
Background
With the development of science and technology, especially the development of technologies such as video technology, artificial intelligence, pattern recognition, etc., and the perimeter security protection and perimeter intrusion detection technology, it is also in force to come up. The use in nursing electronic fences is widely based on perimeter prevention technology. However, in the conventional perimeter intrusion and protection technologies, most perimeter protection technologies are effective for regular polygons, for example, the size of the intersection of the motion detection frame and the perimeter is directly used to determine whether the boundary is out of range, but the conventional perimeter intrusion and protection technologies fail to work for irregular polygons. Some adopt the moving direction of the object, but the accuracy is affected because the direction calculation itself is inaccurate. In addition, in the existing electronic nursing fence system, a frame difference method or a background method is adopted to calculate a motion pixel detection frame of a current frame, but a hollow phenomenon is generated due to the speed of motion amplitude or the motion pixel detection frame is filtered similarly to noise, so that the safety and the accuracy of the fence system are influenced.
Disclosure of Invention
In order to solve the above problems, the present invention is directed to: by the technical scheme, the perimeter precaution of any polygon is supported; the system adopts a self-adaptive motion history processing method, the motion speed is processed in a self-adaptive mode, and the motion history track is restored, so that the accuracy of the electronic nursing fence system is higher.
Specifically, the present invention provides an electronic nursing fence system, comprising:
the acquisition unit is used for acquiring real-time video stream data and transmitting the acquired data to the processing unit;
the processing unit is used for processing the obtained data through a self-adaptive motion history processing method to obtain a current frame motion detection frame, making a mask on the whole frame, resetting a color value, and filling any polygonal area into white to enable the periphery of the circumscribed rectangle to be black;
the calculation unit is used for solving the intersection of the motion detection frame and any polygon and counting the proportion of the intersection part in the whole motion detection frame;
and the judging unit is used for judging the proportion value in the calculating unit to obtain whether the proportion value is in the interior of any perimeter.
Thus, the application has the advantages that: through the electron nurse rail system of this application can solve the problem that arbitrary irregular polygon perimeter was taken precautions against, easy maintenance, adaptability is stronger. Meanwhile, the problem that the hollow phenomenon is generated or the filter is similar to noise is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention.
FIG. 1 is a schematic block diagram of the system of the present invention.
Fig. 2 is a schematic flow diagram of a method to which the system of the present invention relates.
Detailed Description
In order that the technical contents and advantages of the present invention can be more clearly understood, the present invention will now be described in further detail with reference to the accompanying drawings.
Furthermore, technical terms in the prior art include:
a nursing electronic fence: an object approaches the fence from inside to outside or crosses the fence from inside to outside in a small area, an alarm signal is sent out, the situation of baby nursing is suitable, and the small area crossing can be understood that only one small foot protrudes out of the fence.
Short history retention value: and re-assigning the moving pixel point of the current frame to be a smaller number, wherein the value of the smaller number is decreased if the moving pixel point does not move in each frame later until 0 disappears. It is simply understood that the number of frames reserved for moving pixels is relatively short.
Long history retention value: and re-assigning the moving pixel points of the current frame to be a larger number, wherein the value of the larger number is decreased if the moving pixel points do not move in each frame later until 0 disappears. It is simply understood that the number of frames reserved for a motion pixel is relatively long.
MASK is a MASK, also called MASK.
Specifically, as shown in fig. 1, the present invention relates to an electronic nursing fence system, comprising:
an acquisition unit, for example, a camera, for acquiring real-time video stream data and transmitting the acquired data to the processing unit;
the processing unit is used for processing the obtained data by a self-adaptive motion history processing method to obtain a current frame motion detection frame, making a mask on the whole frame and resetting a color value, and filling any polygonal area into white to ensure that the periphery of the circumscribed rectangle is black;
the calculation unit is used for solving the intersection of the motion detection frame and any polygon and counting the proportion of the intersection part in the whole motion detection frame;
and the judging unit is used for judging the proportion value in the calculating unit to obtain whether the proportion value is in the interior of any perimeter.
The whole frame refers to a mask pattern having a size equal to that of the current frame image, for example, the resolution is 640 × 360, and the whole mask pattern is set to an initial value of 0 in the first step. The motion detection needs to perform region detection on the circumscribed rectangles of a plurality of arbitrary polygons on the current frame image, for example, if there are N arbitrary polygons, there are N regions to perform motion detection, and the motion detection frame on the current frame and the arbitrary polygon on the mask image are circumscribed to obtain an intersection.
The self-adaptive motion history processing method of the processing unit further comprises the steps of obtaining motion pixel points of the current frame through two-frame difference or three-frame difference, and obtaining a motion detection frame of the current frame through a contour extraction method according to the reserved motion history pixel points.
The contour extraction method is to binarize the image, and 1 can be set as a foreground image and 0 can be set as a background image in the binary image.
In the processing process of the processing unit, if a current frame has moving pixels, the moving speed of an object is pre-judged according to the size of a moving detection frame of a previous frame, if the current frame is within an N frame (for example, N is 3-6), the height and width of the object are greater than a threshold (for example, the threshold 40 and can be adjusted according to sensitivity), in order to avoid long trailing, the position of the object is a short history reserved value, and if the height and width of the object is less than the threshold, in order to prevent the target from being too small or from missing detection caused by the situation that the target vertically faces a camera, the position of a moving pixel point is a long history reserved value;
if the current frame has no motion pixels, but has motion history pixels remaining, the corresponding motion history pixels are decremented by 1 (e.g., the initial value of the short history retention value is set to 6, and the initial value of the long history retention value is set to 10).
In the calculation unit, the intersection of the motion detection frame and any polygon is in an irregular shape, the intersection part is white, and the rest part is black.
The color value of white RGB is 255, and the color value of black RGB is 0.
The proportion of the statistic intersection part in the whole motion detection frame is the proportion of the number of the non-zero points of the statistic intersection part in the whole motion detection frame.
The method for the application in the system is completed by the following steps:
and A, obtaining an object motion detection frame by a self-adaptive motion history processing method.
The specific method comprises the following steps:
obtaining a motion pixel point of the current frame through two-frame difference or three-frame difference, and obtaining a motion detection frame of the current frame through a contour extraction method according to the reserved motion history pixel point;
in particular:
if the current frame has moving pixels, the moving speed of the object is pre-judged according to the size of the moving detection frame of the previous frame, if the height and width of the object in the N frame are larger than a threshold value, in order to avoid Long trailing, the position of the object is a Short history reserved value Short _ hst _ val, and if the height and width of the object are smaller than the threshold value, in order to prevent the target from being too small or from missing detection caused by the condition that the target vertically faces the camera, the position of the moving pixel point is a Long history reserved value Long _ hst _ val.
If the current frame has no motion pixels but has motion history pixels reserved, the corresponding motion history pixels are subtracted by 1.
And B, designing the electronic fence.
1, making a large MASK for the whole frame and clearing.
And 2, filling any polygonal area with white, so that the periphery of the circumscribed rectangle is black.
And 3, calculating the intersection of the motion detection frame and any polygon, wherein the intersection is in an irregular shape, the intersection part is white, namely 255, and the rest part is black and 0, so that whether the intersection part is in the interior of any perimeter can be obtained by counting the proportion of the number of non-zero points of the intersection part in the whole motion detection frame.
Wherein, for example, a three-frame difference method is used for detecting a moving target in a region to obtain a foreground image;
specifically, an interested image area and a perimeter precaution moving target are established by a real-time video stream captured in an intrusion detection environment, and a foreground image is obtained. The three-frame difference method comprises the following steps:
h1 passing through two frame difference D n (x,y)＝|f n (x,y)-f n-1 (x, y) | and D n+1 (x,y)＝|f n+1 (x,y)-f n (x, y) | gives rise to adjacent difference images, where f n-1 (x, y) is the (n-1) th frame image, f n (x, y) is the nth frame image, f n+1 (x, y) is the n +1 th frame image, n>1, and n is an integer;
wherein, D is n (x, y) is the nth frame image f n (x, y) and the (n-1) th frame image f n-1 Two frame difference of (x, y), said D n+1 (x, y) is the (n + 1) th frame image f n+1 (x, y) and nth frame image f n Two frame difference of (x, y).
H2, obtaining D through a preset threshold value n (x, y) and D n+1 (x, y) binarizing to obtain a binary image d n (x, y) and d n+1 (x,y)；
Wherein, d is n (x, y) is the difference D between two frames n (x, y) binarizing to obtain a binary image, wherein d n+1 (x, y) is the difference D between two frames n+1 (x, y) binarizing to obtain a binary image.
H3, passing formula
For the binary image d obtained above n (x, y) and d n+1 (x, y) AND operation is carried out to obtain a foreground image Mn (x, y).
And after the foreground image is obtained, eliminating the void phenomenon according to a historical motion method to obtain a complete motion target. And obtaining a current frame motion detection frame by a contour extraction method according to the reserved motion history pixel points. And designing an electronic fence system according to the motion detection frame.
As shown in fig. 2, the method involved in the electronic nursing fence system can be summarized as including the following steps:
s1, obtaining a current frame motion detection frame by a self-adaptive motion history processing method;
s2, making a mask on the whole frame, and clearing the color value;
s3, filling any polygonal area with white color to make the periphery of the circumscribed rectangle black;
and S4, calculating the intersection of the motion detection frame and any polygon, and counting the proportion of the non-zero value of the intersection part in the whole motion detection frame to obtain whether the non-zero value is in the interior of any perimeter.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. An electronic nursing fence system, comprising:
the acquisition unit is used for acquiring real-time video stream data and transmitting the acquired data to the processing unit;
the processing unit is used for processing the obtained data through a self-adaptive motion history processing method to obtain a current frame motion detection frame, making a mask on the whole frame, resetting a color value, and filling any polygonal area into white to enable the periphery of the circumscribed rectangle to be black; the self-adaptive motion history processing method of the processing unit is to obtain motion pixel points of a current frame through two-frame difference or three-frame difference, and obtain a motion detection frame of the current frame through a contour extraction method according to the reserved motion history pixel points; the contour extraction method is to binarize the image, wherein 1 is set as a foreground and 0 is set as a background in the binary image; in the processing process of the processing unit, if a current frame has moving pixels, the moving speed of an object is pre-judged according to the size of a moving detection frame of the previous frame, if the height and width of the object in the N frames are larger than a threshold value, the position of the object is set as a short history reserved value to avoid long trailing, and if the height and width of the object are smaller than the threshold value, the position of a moving pixel point is set as a long history reserved value to prevent the object from being missed for detection caused by the situation that the object is too small or vertically faces a camera; if the current frame has no motion pixel but has a reserved motion history pixel, subtracting 1 from the corresponding motion history pixel;
the calculation unit is used for solving the intersection of the motion detection frame and the circumscribed rectangle of any polygon and counting the proportion of the intersection part in the whole motion detection frame;
and the judging unit is used for judging the proportion value in the calculating unit to obtain whether the proportion value is in the periphery.
2. The system of claim 1, wherein the computing unit is configured to determine the intersection of the motion detection box and any polygon as an irregular shape, wherein the intersection is white and the remaining part is black.
3. The system of claim 2, wherein the RGB color values of white are 255 and the RGB color values of black are 0.
4. The system of claim 1, wherein the ratio of the number of non-zero values of the statistical intersection portion to the total motion detection frame is the ratio of the number of non-zero values of the statistical intersection portion to the total motion detection frame.
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| CN202010117395.9A CN113379984B (en) | 2020-02-25 | 2020-02-25 | Electronic nursing fence system |
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