WO2018161849A1 - Système d'alarme pour chute dans l'eau sur la base d'une texture d'eau d'image et procédé associé - Google Patents

Système d'alarme pour chute dans l'eau sur la base d'une texture d'eau d'image et procédé associé Download PDF

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Publication number
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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WO
WIPO (PCT)
Prior art keywords
water
module
image
human body
feature
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PCT/CN2018/077806
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English (en)
Chinese (zh)
Inventor
白登辉
胡斌
梅力宸
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四川省建筑设计研究院
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Application filed by 四川省建筑设计研究院 filed Critical 四川省建筑设计研究院
Publication of WO2018161849A1 publication Critical patent/WO2018161849A1/fr

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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
    • 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
    • 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

Definitions

  • 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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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Human Computer Interaction (AREA)
  • Emergency Alarm Devices (AREA)
  • Alarm Systems (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

L'invention concerne un système d'alarme pour une chute dans l'eau sur la base d'une texture d'eau d'image et un procédé associé, comprenant une caméra vidéo, un module de prétraitement d'image, un module d'image d'extraction de caractéristique, un module de reconnaissance, de positionnement et de suivi de personne, un module de reconnaissance, de positionnement et de suivi de texture d'eau lors d'une chute dans l'eau, un module de détermination logique et un module d'alarme, caractérisé en ce que les informations vidéo photographiées par la caméra vidéo sont d'abord traitées par le module de prétraitement d'image, puis en ce qu'une détection de mouvement et une extraction de caractéristique sont effectuées sur les informations prétraitées d'image par l'intermédiaire du module d'image d'extraction de caractéristique. La présente invention utilise la texture de l'eau lors d'une chute dans l'eau en tant que caractéristique d'évaluation clé pour une personne qui tombe dans l'eau, de façon que la reconnaissance soit plus rapide et plus précise. Lorsque le système reconnaît une texture d'eau de chute dans l'eau et une personne en même temps, et que la distance entre les deux objets est inférieure à une valeur seuil, une alarme est déclenchée, ce qui réduit la probabilité de fausse alarme produite par le système.
PCT/CN2018/077806 2017-03-07 2018-03-02 Système d'alarme pour chute dans l'eau sur la base d'une texture d'eau d'image et procédé associé WO2018161849A1 (fr)

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CN201710131853.2A CN106951838B (zh) 2017-03-07 2017-03-07 一种基于图像水纹的落水报警系统及其方法

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CN111726573A (zh) * 2020-03-21 2020-09-29 周爱霞 生活舱大数据安全监控系统
CN117606568A (zh) * 2023-12-07 2024-02-27 武汉大水云科技有限公司 一种排水口实时流量测量方法及系统

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CN106951838B (zh) * 2017-03-07 2019-09-06 四川省建筑设计研究院 一种基于图像水纹的落水报警系统及其方法
CN107833432A (zh) * 2017-11-30 2018-03-23 深圳市多精彩电子科技有限公司 溺水监控报警系统及溺水监控报警方法
CN108111808B (zh) * 2017-11-30 2020-04-28 江西洪都航空工业集团有限责任公司 一种基于实时视频图像分析的落水检测方法
CN108334865B (zh) * 2018-03-12 2019-03-12 贵州迦太利华信息科技有限公司 基于图像的大数据分析装置
CN111626162B (zh) * 2020-05-18 2023-06-02 江苏科技大学苏州理工学院 基于时空大数据分析的水上救援系统及溺水警情预测方法

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