WO2018161849A1 - Alarm system for falling in water based on image water texture and method therefor - Google Patents
Alarm system for falling in water based on image water texture and method therefor Download PDFInfo
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- WO2018161849A1 WO2018161849A1 PCT/CN2018/077806 CN2018077806W WO2018161849A1 WO 2018161849 A1 WO2018161849 A1 WO 2018161849A1 CN 2018077806 W CN2018077806 W CN 2018077806W WO 2018161849 A1 WO2018161849 A1 WO 2018161849A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- 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
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/08—Alarms for ensuring the safety of persons responsive to the presence of persons in a body of water, e.g. a swimming pool; responsive to an abnormal condition of a body of water
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- the invention relates to the field of intelligent alarms, in particular to a water falling alarm system based on image water ripple and a method thereof.
- the main method is to wear the sensor on the person.
- the sensor can detect the falling water information and alarm.
- This method can only protect the person wearing the sensor, is not universal, and can not protect the life safety of ordinary people. Especially in some hydrophilic coastal areas or scenic spots.
- the object of the present invention is to overcome the deficiencies of the prior art, and an object of the present invention is to provide a water-falling alarm system and method thereof based on image watermark, and to solve the problem that some hydrophilic coastal areas or scenic spots can be monitored in time without field personnel monitoring. The problem of people falling into the water.
- a water falling alarm system and method thereof based on image water pattern comprising a video camera, an image preprocessing module, an extracted feature image module, a human body identification positioning tracking module, a water mark recognition positioning tracking module, a logic judgment module and an alarm module,
- the video information captured by the video camera is first processed by the image preprocessing module, and the image preprocessed information is subjected to motion detection and feature extraction by extracting the feature image module;
- the information obtained by extracting the feature image module is simultaneously monitored by the human body recognition and location tracking module and the water mark recognition tracking and tracking module; the information obtained by the human body recognition location tracking and the water mark recognition tracking module is transmitted to the logic judgment.
- the module part performs the identification judgment. If the human body and the falling water pattern appear at the same time in the video, and the distance between the two is less than a preset threshold, it is judged that a person falls into the water within the coverage of the video, and an alarm is issued through the alarm module.
- the image pre-processing module includes an operation of denoising, enhancing, and enhancing the image.
- the extracted feature image module extracts pixel information whose gray value changes in the video information exceeds a threshold value, removes still pixels in the video, and reduces unnecessary data amount processing.
- the human body feature used by the human body recognition and location tracking module is a head feature, and the information obtained by extracting the feature image module is compared with the human head sample library to identify whether it is a human body.
- the water and water pattern recognition and tracking module adopts the water drop pattern of the human body as a basis for judging, and compares the information obtained by extracting the feature image module with the human body water and water sample database to identify whether the water is watery.
- a watermarking method based on image watermark comprising the steps of:
- Step 1) Establish a human head sample library and a human body water and water sample library
- Step 2) The video information captured by the video camera is first processed by the image preprocessing module, and the image preprocessed information is subjected to motion detection and feature extraction by extracting the feature image module;
- Step 3 The information obtained by extracting the feature image module is simultaneously monitored by the human body recognition and location tracking module and the water mark recognition tracking and tracking module;
- Step 4) The information obtained by the human body identification and tracking and the water mark recognition tracking and tracking module is transmitted to the logic determination module for identification and determination;
- Step 5 When both the human body and the falling water pattern appear in the video, and the distance between the two is less than a preset threshold, it is judged that a person falls into the water within the coverage of the video, and an alarm is issued through the alarm module, otherwise no alarm is issued.
- the image preprocessing module in the step 1) includes an operation of denoising, enhancing, and highlighting the image.
- the extracted feature image module in the step 1) extracts pixel information whose gray value changes in the video information exceeds a threshold value, removes still pixels in the video, and reduces unnecessary data amount processing.
- the human body feature adopted by the human body recognition and location tracking module in the step 4) is a head feature, and the information obtained by extracting the feature image module is compared with the human head sample library to identify whether it is a human body.
- the water and water pattern recognition and tracking module adopts the water drop pattern of the human body as a basis for judging, and compares the information obtained by extracting the feature image module with the human body water pattern sample library to identify whether the body falls into the water. Pattern.
- the present invention has the following advantages and beneficial effects:
- the invention adopts the falling water pattern as the key discriminating feature of the human body falling water, and the identification is faster and more accurate. Only when the system recognizes the water mark and the human body at the same time, and the distance between the two objects is less than the threshold, the alarm is triggered, which reduces the probability of system false positives.
- FIG. 1 is a schematic diagram of the principle of an image-based water drop alarm system according to the present invention.
- 1-Video camera 2-image pre-processing module
- 3-extract feature image module 4-human body recognition and tracking module
- 5-fall water pattern recognition and tracking module 6-logic judgment module.
- an image-based water drop alarm system of the present invention comprises: a video camera 1 , in a water area to be monitored, according to a water area, a plurality of video cameras are arranged in a range of 5 meters from the shore; No dead angle coverage; image preprocessing module 2; extraction feature image module 3; human body recognition location tracking module 4; water and water pattern recognition location tracking module 5; logic determination module 6;
- the video information captured by the video camera 1 first passes through the image preprocessing module 2, and the image preprocessing module 2 includes operations such as denoising, enhancing, and highlighting the image, so that the image information can better reflect the real situation and is easier to handle. Reduce the amount of calculations.
- the image pre-processed information is subjected to motion detection, and the feature image module 3 is extracted, and the pixel information in which the gray value changes in the video information exceeds the threshold value is extracted, the still pixels in the video are removed, and unnecessary data amount processing is reduced.
- the information obtained by the feature image module 3 is simultaneously subjected to the human body body position tracking module 4 and the water mark recognition position tracking module 5, wherein the human body feature used by the body recognition position tracking module 4 is a head feature, and the feature image module 3 is extracted.
- the obtained information is compared with the human head sample library to identify the human body;
- the human head sample library is a database established according to the characteristics of the human head, and an image is recorded on each orientation of the human head, and a database for extracting the feature of the part is extracted.
- the head picture taken by the video camera 1 is compared with the human head sample library to identify whether it is a human body.
- the water mark recognition and tracking module 5 uses the water drop pattern of the human body as a basis for judging, and compares the information obtained by the motion detection and extraction feature image module 3 with the human body water and water sample bank to identify the water drop pattern of the human body.
- the human body water and water sample library is a database based on the water pattern formed by the human body falling water. Due to the special shape of the human body, after the person falls into the water, the water pattern formed by the stress reaction has a special shape, and the database is established by the human body.
- the information obtained by the identification and tracking module 4 and the watermark recognition positioning and tracking module 5 is transmitted to the logic determination module 6.
- the threshold is set to 0-1m, it is judged that there is a person falling into the water within the coverage of the video and an alarm is issued.
- the invention adopts the falling water pattern as the key discriminating feature of the human body falling water, and the identification is faster and more accurate. Only when the system recognizes the water mark and the human body at the same time, and the distance between the two objects is less than the threshold, the alarm is triggered, which reduces the probability of system false positives.
- a watermarking method based on image watermark comprising the steps of:
- Step 1) Establish a human head sample library and a human body water and water sample library;
- the human head sample library is a database established according to the characteristics of the human head, image recording of various orientations of the human head, and extracting a database of feature extraction of the part.
- the head picture taken by the video camera 1 is compared with the human head sample library to identify whether it is a human body.
- the human body water and water sample library is a database established according to the water pattern formed by the human body falling water. Due to the special shape of the human body, after the person falls into the water, the water pattern formed by the stress reaction has a special shape, and the database is established.
- Step 2) The video information captured by the video camera 1 is first processed by the image preprocessing module 2, and the image preprocessed information is subjected to motion detection and feature extraction by extracting the feature image module 3; the image preprocessing module 2 includes denoising the image. , enhancements, and enhancements.
- Step 3 The information obtained by extracting the feature image module 3 is simultaneously monitored by the human body recognition location tracking module 4 and the watermark recognition tracking and tracking module 5; the feature image module 3 is extracted to change the gray value of the video information beyond a threshold.
- the pixel information is extracted, and the still pixels in the video are removed; unnecessary data processing is reduced.
- Step 4) The information obtained by the human body recognition and location tracking module 4 and the watermark recognition tracking and tracking module 5 is transmitted to the logic determination module 6 for identification determination; and the step 4) is used by the human body identification and location tracking module 4
- the human body feature is a head feature, and the information obtained by extracting the feature image module 3 is compared with the human head sample library to identify whether it is a human body.
- the water and water pattern recognition and tracking module 5 uses the water drop pattern of the human body as a basis for judging, and compares the information obtained by the extracted feature image module 3 with the human body water and water sample library to identify whether the water is watery.
- Step 5 When both the human body and the falling water pattern appear in the video, and the distance between the two is less than a preset threshold, the threshold is set to 0-1m. Within this threshold, the watermark of the specification is likely to be formed by the human body falling water. Otherwise, it is not relevant, it is judged that there is a person falling into the water within the coverage of the video, and the alarm is issued through the alarm module 7, otherwise the alarm is not performed.
- the invention adopts the falling water pattern as the key discriminating feature of the human body falling water, and the identification is faster and more accurate. Only when the system recognizes the water mark and the human body at the same time, and the distance between the two objects is less than the threshold, the alarm is triggered, which reduces the probability of system false positives.
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Abstract
Disclosed are an alarm system for falling in water based on an image water texture and a method therefor, comprising a video camera, an image pre-processing module, a feature extraction image module, a person recognition, positioning and tracking module, a fall in water water texture recognition, positioning and tracking module, a logic determination module and an alarm module, characterised in that video information photographed by the video camera is firstly processed by the image pre-processing module, then performing motion detection and feature extraction on the image pre-processed information through the feature extraction image module. The present invention uses a fall in water water texture as a key judgement feature for a person falling in water, such that recognition is faster and more accurate. All that is needed is that when the system recognises a fall in water water texture and a person at the same time, and the distance between the two objects is less than a threshold value, an alarm is triggered, reducing the probability of a false alarm from the system.
Description
本发明涉及一种智能报警领域，具体涉及一种基于图像水纹的落水报警***及其方法。The invention relates to the field of intelligent alarms, in particular to a water falling alarm system based on image water ripple and a method thereof.
目前针对落水报警，主要采用的是在人员身上佩戴感应器的方式，当人体落水时，感应器能检测到落水信息并报警。缺点：该方法只能保护佩戴了感应器的人员，不具普遍性，并不能保护一般人员的生命安全。特别是在一些亲水沿岸区域或景区等。At present, for the water drop alarm, the main method is to wear the sensor on the person. When the human body falls into the water, the sensor can detect the falling water information and alarm. Disadvantages: This method can only protect the person wearing the sensor, is not universal, and can not protect the life safety of ordinary people. Especially in some hydrophilic coastal areas or scenic spots.
发明内容Summary of the invention
本发明的目的即在于克服现有技术不足，目的在于提供一种基于图像水纹的落水报警***及其方法，解决一些亲水沿岸区域或景区无现场人员监视的情况下，无法及时监控是否有人员落水的问题。The object of the present invention is to overcome the deficiencies of the prior art, and an object of the present invention is to provide a water-falling alarm system and method thereof based on image watermark, and to solve the problem that some hydrophilic coastal areas or scenic spots can be monitored in time without field personnel monitoring. The problem of people falling into the water.
本发明通过下述技术方案实现：The invention is achieved by the following technical solutions:
一种基于图像水纹的落水报警***及其方法，包括视频摄像头、图像预处理模块、提取特征图像模块、人体识别定位跟踪模块、落水水纹识别定位跟踪模块、逻辑判断模块和报警模块，其特征在于，所述视频摄像头拍摄到的视频信息首先经过图像预处理模块处理，图像预处理后的信息通过提取特征图像模块进行运动检测及特征提取；A water falling alarm system and method thereof based on image water pattern, comprising a video camera, an image preprocessing module, an extracted feature image module, a human body identification positioning tracking module, a water mark recognition positioning tracking module, a logic judgment module and an alarm module, The video information captured by the video camera is first processed by the image preprocessing module, and the image preprocessed information is subjected to motion detection and feature extraction by extracting the feature image module;
所述提取特征图像模块得到的信息分别同时通过人体识别定位跟踪模块与落水水纹识别定位跟踪模块进行监测；所述人体识别定位跟踪与落水水纹识别定位跟踪模块所得到的信息传送到逻辑判断模块部分进行识别判定，如果视频当中同时出现了人体与落水水纹，并且两者的距离小于预先设定的阈值，便判断视频覆盖范围内出现了人员落水，通过报警模块进行报警。The information obtained by extracting the feature image module is simultaneously monitored by the human body recognition and location tracking module and the water mark recognition tracking and tracking module; the information obtained by the human body recognition location tracking and the water mark recognition tracking module is transmitted to the logic judgment. The module part performs the identification judgment. If the human body and the falling water pattern appear at the same time in the video, and the distance between the two is less than a preset threshold, it is judged that a person falls into the water within the coverage of the video, and an alarm is issued through the alarm module.
进一步的，所述图像预处理模块包括对图像进行去噪、增强以及辉值化的操作。Further, the image pre-processing module includes an operation of denoising, enhancing, and enhancing the image.
进一步的，所述提取特征图像模块将视频信息中灰度值变化超过阈值的像素信息提取出来，去掉视频中静止的像素；减少不必要的数据量处理。Further, the extracted feature image module extracts pixel information whose gray value changes in the video information exceeds a threshold value, removes still pixels in the video, and reduces unnecessary data amount processing.
进一步的，所述人体识别定位跟踪模块所采用的人体特征为头部特征，将提取特征图像模块得到的信息与人体头部样本库进行对比，识别是否为人体。Further, the human body feature used by the human body recognition and location tracking module is a head feature, and the information obtained by extracting the feature image module is compared with the human head sample library to identify whether it is a human body.
进一步的，所述落水水纹识别定位跟踪模块采用人体落水水纹作为判断依据，将提取特征图像模块得到的信息与人体落水水纹样本库进行对比，识别出是否为人体落水水纹。Further, the water and water pattern recognition and tracking module adopts the water drop pattern of the human body as a basis for judging, and compares the information obtained by extracting the feature image module with the human body water and water sample database to identify whether the water is watery.
本发明通过下述另一技术方案实现：The invention is achieved by another technical solution as follows:
一种基于图像水纹的落水报警方法，包括步骤：A watermarking method based on image watermark, comprising the steps of:
步骤1)建立人体头部样本库和人体落水水纹样本库；Step 1) Establish a human head sample library and a human body water and water sample library;
步骤2)视频摄像头拍摄到的视频信息首先经过图像预处理模块处理，图像预处理后的信息通过提取特征图像模块进行运动检测及特征提取；Step 2) The video information captured by the video camera is first processed by the image preprocessing module, and the image preprocessed information is subjected to motion detection and feature extraction by extracting the feature image module;
步骤3)所述提取特征图像模块得到的信息分别同时通过人体识别定位跟踪模块与落水水纹识别定位跟踪模块进行监测；Step 3) The information obtained by extracting the feature image module is simultaneously monitored by the human body recognition and location tracking module and the water mark recognition tracking and tracking module;
步骤4)所述人体识别定位跟踪与落水水纹识别定位跟踪模块所得到的信息传送到逻辑判断模块部分进行识别判定；Step 4) The information obtained by the human body identification and tracking and the water mark recognition tracking and tracking module is transmitted to the logic determination module for identification and determination;
步骤5)当视频中同时出现了人体与落水水纹，并且两者的距离小于预先设定的阈值，便判断视频覆盖范围内出现了人员落水，通过报警模块进行报警，否则不进行报警。Step 5) When both the human body and the falling water pattern appear in the video, and the distance between the two is less than a preset threshold, it is judged that a person falls into the water within the coverage of the video, and an alarm is issued through the alarm module, otherwise no alarm is issued.
进一步的，所述骤1)中图像预处理模块包括对图像进行去噪、增强以及辉值化的操作。Further, the image preprocessing module in the step 1) includes an operation of denoising, enhancing, and highlighting the image.
进一步的，所述骤1)中提取特征图像模块将视频信息中灰度值变化超过阈值的像素信息提取出来，去掉视频中静止的像素；减少不必要的数据量处理。Further, the extracted feature image module in the step 1) extracts pixel information whose gray value changes in the video information exceeds a threshold value, removes still pixels in the video, and reduces unnecessary data amount processing.
进一步的，所述骤4)中人体识别定位跟踪模块所采用的人体特征为头部特征，将提取特征图像模块得到的信息与人体头部样本库进行对比，识别是否为人体。Further, the human body feature adopted by the human body recognition and location tracking module in the step 4) is a head feature, and the information obtained by extracting the feature image module is compared with the human head sample library to identify whether it is a human body.
进一步的，所述骤4)中落水水纹识别定位跟踪模块采用人体落水水纹作为判断依据，将提取特征图像模块得到的信息与人体落水水纹样本库进行对比，识别出是否为人体落水水纹。Further, in the step 4), the water and water pattern recognition and tracking module adopts the water drop pattern of the human body as a basis for judging, and compares the information obtained by extracting the feature image module with the human body water pattern sample library to identify whether the body falls into the water. Pattern.
本发明与现有技术相比，具有如下的优点和有益效果：Compared with the prior art, the present invention has the following advantages and beneficial effects:
本发明采用落水水纹作为人体落水的关键判别特征，识别更快速和准确。只有当***同时识别出落水水纹和人体，并且两个对象之间的距离小于阈值时，触发报警，降低了***误报概率。The invention adopts the falling water pattern as the key discriminating feature of the human body falling water, and the identification is faster and more accurate. Only when the system recognizes the water mark and the human body at the same time, and the distance between the two objects is less than the threshold, the alarm is triggered, which reduces the probability of system false positives.
此处所说明的附图用来提供对本发明实施例的进一步理解，构成本申请的一部分，并不构成对本发明实施例的限定。在附图中：The drawings are intended to provide a further understanding of the embodiments of the present invention, and are not intended to limit the embodiments of the invention. In the drawing:
图1为本发明一种基于图像的落水报警的***的原理示意图；1 is a schematic diagram of the principle of an image-based water drop alarm system according to the present invention;
附图中标记及对应的零部件名称：Marked and corresponding part names in the drawing:
1-视频摄像头，2-图像预处理模块，3-提取特征图像模块，4-人体识别定位跟踪模块，5-落水水纹识别定位跟踪模块，6-逻辑判断模块。1-Video camera, 2-image pre-processing module, 3-extract feature image module, 4-human body recognition and tracking module, 5-fall water pattern recognition and tracking module, 6-logic judgment module.
为使本发明的目的、技术方案和优点更加清楚明白，下面结合实施例和附图，对本发明作进一步的详细说明，本发明的示意性实施方式及其说明仅用于解释本发明，并不作为对本发明的限定。The present invention will be further described in detail below with reference to the embodiments and the accompanying drawings. As a limitation of the invention.
实施例1Example 1
如图1所示，本发明一种基于图像的落水报警的***，包括：视频摄像头1，在需要监控的水域，根据水域面积，在距离岸边5米面的范围内通过布置多个视频摄像头1无死角覆盖；图像预处理模块2；提取特征图像模块3；人体识别定位跟踪模块4；落水水纹识别定位跟踪模块5；逻辑判断模块6；报警模块7。视频摄像头1拍摄到的视频信息首先经过图像预处理模块2，图像预处理模块2包括对图像进行去噪、增强以及辉值化等操作，使图像信息更能反映真实情况，并且更易于处理，减少运算量。图像预处理后的信息进行运动检测，提取特征图像模块3，将视频信息中灰度值变化超过阈值的像素信息提取出来，去掉视频中静止的像素，减少不必要的数据量处理。提取特征图像模块3得到的信息分别同时进行人体识别定位跟踪模块4与落水水纹识别定位跟踪模块5，其中人体识别定位跟踪模块4所采用的人体特征为头部特征，将提取特征图像模块3得到的信息与人体头部样本库进行对比，识别出人体；人体头部样本库是根据人体头部特征建立的数据库，对人体头部各个方位进行图像记录，并提取该部位特征提取的数据库，通过视频摄像头1拍摄的头部画面与人体头部样本库进行对比，识别是否为人体。As shown in FIG. 1 , an image-based water drop alarm system of the present invention comprises: a video camera 1 , in a water area to be monitored, according to a water area, a plurality of video cameras are arranged in a range of 5 meters from the shore; No dead angle coverage; image preprocessing module 2; extraction feature image module 3; human body recognition location tracking module 4; water and water pattern recognition location tracking module 5; logic determination module 6; The video information captured by the video camera 1 first passes through the image preprocessing module 2, and the image preprocessing module 2 includes operations such as denoising, enhancing, and highlighting the image, so that the image information can better reflect the real situation and is easier to handle. Reduce the amount of calculations. The image pre-processed information is subjected to motion detection, and the feature image module 3 is extracted, and the pixel information in which the gray value changes in the video information exceeds the threshold value is extracted, the still pixels in the video are removed, and unnecessary data amount processing is reduced. The information obtained by the feature image module 3 is simultaneously subjected to the human body body position tracking module 4 and the water mark recognition position tracking module 5, wherein the human body feature used by the body recognition position tracking module 4 is a head feature, and the feature image module 3 is extracted. The obtained information is compared with the human head sample library to identify the human body; the human head sample library is a database established according to the characteristics of the human head, and an image is recorded on each orientation of the human head, and a database for extracting the feature of the part is extracted. The head picture taken by the video camera 1 is compared with the human head sample library to identify whether it is a human body.
落水水纹识别定位跟踪模块5采用人体落水水纹作为判断依据，将运动检测，提取特征图像模块3得到的信息与人体落水水纹样本库进行对比，识别出人体落水水纹。人体落水水纹样本库是根据人体落水形成的水纹建立的数据库，由于人体的特殊形体，在人员落水后，由于应激反应所形成的的水纹具有特殊形状，以此建立的数据库，人体识别定位跟踪模块4与落水水纹识别定位跟踪模块5所得到的信息传送到逻辑判断模块6部分，如果视频当中同时出现了人体与落水水纹，并且两者的距离小于预先设定的阈值，阈值设为0-1m，便判断视频覆盖范围内出现了人员落水，进行报警。The water mark recognition and tracking module 5 uses the water drop pattern of the human body as a basis for judging, and compares the information obtained by the motion detection and extraction feature image module 3 with the human body water and water sample bank to identify the water drop pattern of the human body. The human body water and water sample library is a database based on the water pattern formed by the human body falling water. Due to the special shape of the human body, after the person falls into the water, the water pattern formed by the stress reaction has a special shape, and the database is established by the human body. The information obtained by the identification and tracking module 4 and the watermark recognition positioning and tracking module 5 is transmitted to the logic determination module 6. If the human body and the watermark appear simultaneously in the video, and the distance between the two is less than a preset threshold, When the threshold is set to 0-1m, it is judged that there is a person falling into the water within the coverage of the video and an alarm is issued.
本发明采用落水水纹作为人体落水的关键判别特征，识别更快速和准确。只有当***同时识别出落水水纹和人体，并且两个对象之间的距离小于阈值时，触发报警，降低了***误报概率。The invention adopts the falling water pattern as the key discriminating feature of the human body falling water, and the identification is faster and more accurate. Only when the system recognizes the water mark and the human body at the same time, and the distance between the two objects is less than the threshold, the alarm is triggered, which reduces the probability of system false positives.
实施例2Example 2
一种基于图像水纹的落水报警方法，包括步骤：A watermarking method based on image watermark, comprising the steps of:
步骤1)建立人体头部样本库和人体落水水纹样本库；人体头部样本库是根据人体头部特征建立的数据库，对人体头部各个方位进行图像记录，并提取该部位特征提取的数据库，通过视频摄像头1拍摄的头部画面与人体头部样本库进行对比，识别是否为人体。人体落水水纹样本库是根据人体落水形成的水纹建立的数据库，由于人体的特殊形体，在人员落水后，由于应激反应所形成的的水纹具有特殊形状，以此建立的数据库。Step 1) Establish a human head sample library and a human body water and water sample library; the human head sample library is a database established according to the characteristics of the human head, image recording of various orientations of the human head, and extracting a database of feature extraction of the part. The head picture taken by the video camera 1 is compared with the human head sample library to identify whether it is a human body. The human body water and water sample library is a database established according to the water pattern formed by the human body falling water. Due to the special shape of the human body, after the person falls into the water, the water pattern formed by the stress reaction has a special shape, and the database is established.
步骤2)视频摄像头1拍摄到的视频信息首先经过图像预处理模块2处理，图像预处理后的信息通过提取特征图像模块3进行运动检测及特征提取；图像预处理模块2包括对图像进行去噪、增强以及辉值化的操作。Step 2) The video information captured by the video camera 1 is first processed by the image preprocessing module 2, and the image preprocessed information is subjected to motion detection and feature extraction by extracting the feature image module 3; the image preprocessing module 2 includes denoising the image. , enhancements, and enhancements.
步骤3)所述提取特征图像模块3得到的信息分别同时通过人体识别定位跟踪模块4与落水水纹识别定位跟踪模块5进行监测；提取特征图像模块3将视频信息中灰度值变化超过阈值的像素信息提取出来，去掉视频中静止的像素；减少不必要的数据量处理。Step 3) The information obtained by extracting the feature image module 3 is simultaneously monitored by the human body recognition location tracking module 4 and the watermark recognition tracking and tracking module 5; the feature image module 3 is extracted to change the gray value of the video information beyond a threshold. The pixel information is extracted, and the still pixels in the video are removed; unnecessary data processing is reduced.
步骤4)所述人体识别定位跟踪模块4与落水水纹识别定位跟踪模块5所得到的信息传送到逻辑判断模块6部分进行识别判定；所述步骤4)中人体识别定位跟踪模块4所采用的人体特征为头部特征，将提取特征图像模块3得到的信息与人体头部样本库进行对比，识别是否为人体。落水水纹识别定位跟踪模块5采用人体落水水纹作为判断依据，将提取特征图像模块3得到的信息与人体落水水纹样本库进行对比，识别出是否为人体落水水纹。Step 4) The information obtained by the human body recognition and location tracking module 4 and the watermark recognition tracking and tracking module 5 is transmitted to the logic determination module 6 for identification determination; and the step 4) is used by the human body identification and location tracking module 4 The human body feature is a head feature, and the information obtained by extracting the feature image module 3 is compared with the human head sample library to identify whether it is a human body. The water and water pattern recognition and tracking module 5 uses the water drop pattern of the human body as a basis for judging, and compares the information obtained by the extracted feature image module 3 with the human body water and water sample library to identify whether the water is watery.
步骤5)当视频中同时出现了人体与落水水纹，并且两者的距离小于预先设定的阈值，阈值设为0-1m，在此阈值内，说明书水纹很有可能是人体落水所形成，否则不相关，便判断视频覆盖范围内出现了人员落水，通过报警模块7进行报警，否则不进行报警。Step 5) When both the human body and the falling water pattern appear in the video, and the distance between the two is less than a preset threshold, the threshold is set to 0-1m. Within this threshold, the watermark of the specification is likely to be formed by the human body falling water. Otherwise, it is not relevant, it is judged that there is a person falling into the water within the coverage of the video, and the alarm is issued through the alarm module 7, otherwise the alarm is not performed.
本发明采用落水水纹作为人体落水的关键判别特征，识别更快速和准确。只有当***同时识别出落水水纹和人体，并且两个对象之间的距离小于阈值时，触发报警，降低了***误报概率。The invention adopts the falling water pattern as the key discriminating feature of the human body falling water, and the identification is faster and more accurate. Only when the system recognizes the water mark and the human body at the same time, and the distance between the two objects is less than the threshold, the alarm is triggered, which reduces the probability of system false positives.
以上所述的具体实施方式，对本发明的目的、技术方案和有益效果进行了进一步详细说明，所应理解的是，以上所述仅为本发明的具体实施方式而已，并不用于限定本发明的保护范围，凡在本发明的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。The specific embodiments of the present invention have been described in detail with reference to the preferred embodiments of the present invention. All modifications, equivalent substitutions, improvements, etc., made within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (10)
- 一种基于图像水纹的落水报警***，包括视频摄像头(1)、图像预处理模块(2)、提取特征图像模块(3)、人体识别定位跟踪模块(4)、落水水纹识别定位跟踪模块(5)、逻辑判断模块(6)和报警模块(7)，其特征在于，所述视频摄像头(1)拍摄到的视频信息首先经过图像预处理模块(2)处理，图像预处理后的信息通过提取特征图像模块(3)进行运动检测及特征提取；A falling water alarm system based on image water ripple, comprising a video camera (1), an image preprocessing module (2), an extracted feature image module (3), a human body recognition location tracking module (4), a water mark recognition tracking and tracking module (5) The logic judgment module (6) and the alarm module (7) are characterized in that the video information captured by the video camera (1) is first processed by the image preprocessing module (2), and the image preprocessed information Motion detection and feature extraction are performed by extracting the feature image module (3);所述提取特征图像模块(3)得到的信息分别同时通过人体识别定位跟踪模块(4)与落水水纹识别定位跟踪模块(5)进行监测；所述人体识别定位跟踪模块(4)与落水水纹识别定位跟踪模块(5)所得到的信息传送到逻辑判断模块(6)部分进行识别判定，如果视频当中同时出现了人体与落水水纹，并且两者的距离小于预先设定的阈值，便判断视频覆盖范围内出现了人员落水，通过报警模块(7)进行报警。The information obtained by the extracted feature image module (3) is simultaneously monitored by the human body recognition and location tracking module (4) and the water mark recognition tracking and tracking module (5); the human body recognition location tracking module (4) and the falling water The information obtained by the pattern recognition and tracking module (5) is transmitted to the logic judgment module (6) for identification and determination. If the human body and the water ripple appear simultaneously in the video, and the distance between the two is less than a preset threshold, It is judged that there is a person falling into the water within the coverage of the video, and an alarm is issued through the alarm module (7).
- 根据权利要求1所述的一种基于图像水纹的落水报警***，其特征在于：所述图像预处理模块(2)包括对图像进行去噪、增强以及辉值化的操作。The image watermark based water fall alarm system according to claim 1, wherein the image preprocessing module (2) comprises an operation of denoising, enhancing and enhancing the image.
- 根据权利要求1所述的一种基于图像水纹的落水报警***，其特征在于：所述提取特征图像模块(3)将视频信息中灰度值变化超过阈值的像素信息提取出来，去掉视频中静止的像素。The watermark-based water fall alarm system according to claim 1, wherein the extracted feature image module (3) extracts pixel information whose gray value changes in the video information exceeds a threshold value, and removes the video. Still pixels.
- 根据权利要求1所述的一种基于图像水纹的落水报警***，其特征在于：所述人体识别定位跟踪模块(4)所采用的人体特征为头部特征，将提取特征图像模块(3)得到的信息与人体头部样本库进行对比，识别是否为人体。The watermark-based water fall alarm system according to claim 1, wherein the human body feature used by the human body recognition and tracking module (4) is a head feature, and the feature image module is extracted (3) The obtained information is compared with the human head sample library to identify whether it is a human body.
- 根据权利要求1所述的一种基于图像水纹的落水报警***，其特征在于：所述落水水纹识别定位跟踪模块(5)采用人体落水水纹作为判断依据，将提取特征图像模块(3)得到的信息与人体落水水纹样本库进行对比，识别出是否为人体落水水纹。The water-based water-based falling water alarm system according to claim 1, wherein the water-falling watermark recognition and tracking module (5) adopts a human body water-water pattern as a judgment basis, and the feature image module is extracted (3). The information obtained is compared with the human body water and water sample library to identify whether the body is watery.
- 一种基于图像水纹的落水报警方法，其特征在于：包括步骤：A method for water drop alarm based on image watermark, characterized in that the method comprises the steps of:步骤1)建立人体头部样本库和人体落水水纹样本库；Step 1) Establish a human head sample library and a human body water and water sample library;步骤2)视频摄像头(1)拍摄到的视频信息首先经过图像预处理模块(2)处理，图像预处理后的信息通过提取特征图像模块(3)进行运动检测及特征提取；Step 2) The video information captured by the video camera (1) is first processed by the image preprocessing module (2), and the image preprocessed information is subjected to motion detection and feature extraction by extracting the feature image module (3);步骤3)所述提取特征图像模块(3)得到的信息分别同时通过人体识别定位跟踪模块(4)与落水水纹识别定位跟踪模块(5)进行监测；Step 3) The information obtained by extracting the feature image module (3) is simultaneously monitored by the human body recognition location tracking module (4) and the water mark recognition tracking and tracking module (5);步骤4)所述人体识别定位跟踪模块(4)与落水水纹识别定位跟踪模块(5)所得到的信息传送到逻辑判断模块(6)部分进行识别判定；Step 4) The information obtained by the human body identification and location tracking module (4) and the water mark recognition tracking and tracking module (5) is transmitted to the logic determination module (6) for identification and determination;步骤5)当视频中同时出现了人体与落水水纹，并且两者的距离小于预先设定的阈值， 便判断视频覆盖范围内出现了人员落水，通过报警模块(7)进行报警，否则不进行报警。Step 5) When both the human body and the falling water pattern appear in the video, and the distance between the two is less than a preset threshold, it is judged that the person falling into the water within the coverage of the video, and the alarm is performed by the alarm module (7), otherwise it is not performed. Call the police.
- 根据权利要求6所述的一种基于图像水纹的落水报警***，其特征在于：所述骤1)中图像预处理模块(2)包括对图像进行去噪、增强以及辉值化的操作。The image watermark based water fall alarm system according to claim 6, wherein the image preprocessing module (2) in the step 1) comprises an operation of denoising, enhancing and enhancing the image.
- 根据权利要求6所述的一种基于图像水纹的落水报警***，其特征在于：所述骤1)中提取特征图像模块(3)将视频信息中灰度值变化超过阈值的像素信息提取出来，去掉视频中静止的像素。An image watermark based water fall alarm system according to claim 6, wherein the feature image module (3) in the step 1) extracts pixel information in which the gray value of the video information changes beyond a threshold value. , remove the still pixels in the video.
- 根据权利要求6所述的一种基于图像水纹的落水报警***，其特征在于：所述骤4)中人体识别定位跟踪模块(4)所采用的人体特征为头部特征，将提取特征图像模块(3)得到的信息与人体头部样本库进行对比，识别是否为人体。The watermark-based water fall alarm system according to claim 6, wherein the human body feature used in the human body identification and tracking module (4) in the step 4) is a head feature, and the feature image is extracted. The information obtained by the module (3) is compared with the human head sample library to identify whether it is a human body.
- 根据权利要求6所述的一种基于图像水纹的落水报警***，其特征在于：所述骤4)中落水水纹识别定位跟踪模块(5)采用人体落水水纹作为判断依据，将提取特征图像模块(3)得到的信息与人体落水水纹样本库进行对比，识别出是否为人体落水水纹。The water-based water-falling alarm system according to claim 6, wherein: the step 4) water-falling watermark recognition and tracking module (5) adopts the human body water-water pattern as a judgment basis, and the extraction feature is extracted. The information obtained by the image module (3) is compared with the human body water and water sample library to identify whether the human body is watery.
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| CN117606568A (en) * | 2023-12-07 | 2024-02-27 | 武汉大水云科技有限公司 | Real-time flow measuring method and system for water outlet |
Also Published As
| Publication number | Publication date |
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| CN106951838A (en) | 2017-07-14 |
| CN106951838B (en) | 2019-09-06 |
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