A SURVEILLANCE SYSTEM AND A METHOD FOR TAMPERING DETECTION AND CORRECTION
    1.
    发明申请
    A SURVEILLANCE SYSTEM AND A METHOD FOR TAMPERING DETECTION AND CORRECTION 审中-公开
    监控系统和篡改检测和校正方法

    公开(公告)号:WO2014042514A2

    公开(公告)日:2014-03-20

    申请号:PCT/MY2013/000159

    申请日:2013-09-06

    Applicant: MIMOS BERHAD

    CPC classification number: G06K9/00771 G08B13/19604 G08B29/046

    Abstract: The present invention relates to a surveillance system having a method for tampering detection and correction. The surveillance system is able to detect tampering of the camera view and thereon, adjust its video analytics configuration parameters to perform video analytics even though the orientation of the camera (10) has been changed as long as a partial of the ROI is within the tampered camera view. The surveillance system comprises of at least one camera (10), a video acquisition module (20), a storage device (30), an image processing module (40), a display module (50) and a post detection module (60).

    Abstract translation: 本发明涉及一种具有篡改检测和校正方法的监视系统。 即使相机(10)的方向已经改变,只要ROI的一部分在被篡改的情况下,监控系统能够检测相机视图的篡改及其上,调整其视频分析配置参数以执行视频分析 相机视图。 监视系统包括至少一个摄像机(10),视频采集模块(20),存储设备(30),图像处理模块(40),显示模块(50)和后检测模块(60) 。

    A SYSTEM AND A METHOD FOR IDENTIFYING HUMAN BEHAVIOURAL INTENTION BASED ON AN EFFECTIVE MOTION ANALYSIS
    2.
    发明申请
    A SYSTEM AND A METHOD FOR IDENTIFYING HUMAN BEHAVIOURAL INTENTION BASED ON AN EFFECTIVE MOTION ANALYSIS 审中-公开
    基于有效运动分析的人类行为意图识别系统及方法

    公开(公告)号:WO2010036091A2

    公开(公告)日:2010-04-01

    申请号:PCT/MY2009/000153

    申请日:2009-09-18

    CPC classification number: G06K9/00348 G06K9/00771 G08B13/19615

    Abstract: With the growing market for video surveillance in security area, there is a need for an automated system which provides a way to track and detect human intention based on a particular human motion. The present invention relates to a system and a method for identifying human behavioral intention based on effective motion analysis wherein, the system obtains a sequence of raw images taken from live scene and processes the raw images in an activity analysis component. The activity analysis component is further provided with an activity enrollment component and activity detection component.

    Abstract translation: 随着安全领域视频监控市场的不断增长,需要一种自动化系统,该系统能够根据特定的人体运动提供跟踪和检测人类意图的方法。 本发明涉及基于有效运动分析来识别人类行为意图的系统和方法,其中系统获得从现场拍摄的原始图像序列并且在活动分析部件中处理原始图像。 活动分析组件还提供了活动注册组件和活动检测组件。

    A SYSTEM AND METHOD FOR MONITORING HUMAN BEHAVIOUR

    公开(公告)号:WO2021086171A1

    公开(公告)日:2021-05-06

    申请号:PCT/MY2020/050096

    申请日:2020-09-30

    Applicant: MIMOS BERHAD

    Abstract: The present invention relates to a system (100) and method for monitoring human behaviour. The system (100) comprising a video acquisition module (102) configured to convert the video into a plurality of image frames; a lighting adaptation unit (501) configured to detect a low lighting condition in the image frames; an object detection unit (502) configured to detect any moving object in the image frames; an object tracking unit (503) configured to perform object tracking in the image frames; an event detection unit (504) configured to detect a predefined event in the image frames; and a monitoring module (104) configured to display where the detected event occurs and alert an operator if any aggressive behaviour is detected.

    A SYSTEM AND METHOD FOR VIDEO SURVEILLANCE AND MONITORING

    公开(公告)号:WO2020130798A1

    公开(公告)日:2020-06-25

    申请号:PCT/MY2019/050122

    申请日:2019-12-20

    Applicant: MIMOS BERHAD

    Abstract: The present invention relates to a system (1000) and method for video surveillance and monitoring. The system (1000) comprising a recording unit (200) configured to record at least one video stream for storage, a video acquisition unit (300) to obtain the video stream from at least one video source such as a surveillance camera or a storage medium, and a configuration unit (400) configured to add details of the surveillance camera to a database and choose at least one video analytics type depending on the surveillance camera, monitoring areas, and video analytics parameter values. The system (1000) further comprising a display unit (600) configured to compute display variable values and display an adaptive video stream for monitoring and an video processing unit (500) configured to process a video stream with video analytics enabled and a video stream without video analytics enabled simultaneously.

    METHOD FOR ADAPTIVE THRESHOLDING FOR BACKGROUND SUBTRACTION
    5.
    发明申请
    METHOD FOR ADAPTIVE THRESHOLDING FOR BACKGROUND SUBTRACTION 审中-公开
    用于背景偏移的自适应阈值的方法

    公开(公告)号:WO2014088406A1

    公开(公告)日:2014-06-12

    申请号:PCT/MY2013/000247

    申请日:2013-12-03

    Applicant: MIMOS BERHAD

    Abstract: A method for extracting foreground objects of a currently observed image is provided herewith. The method comprises segmenting background objects of a previously observed image into regions of homogeneous brightness and setting initial threshold values for each segmented regions to initialize a background image information that includes background image and initial threshold values of the currently observed image, subtracting the currently observed image from the background image information and thresholding the image difference using the initial threshold values to extract foreground of the currently observed image, and comparing the foreground of the currently observed image against foreground of the previously observed image to update the initial threshold values of the background image information.

    Abstract translation: 本文提供了一种用于提取当前观察图像的前景对象的方法。 该方法包括将先前观察到的图像的背景对象分割成均匀亮度的区域,并为每个分割区域设置初始阈值,以初始化包括当前观察图像的背景图像和初始阈值的背景图像信息,减去当前观察到的图像 从背景图像信息和使用初始阈值阈值化图像差异来提取当前观察到的图像的前景,并将当前观察到的图像的前景与先前观察到的图像的前景进行比较,以更新背景图像的初始阈值 信息。

    METHOD OF DETECTING HUMAN USING ATTIRE
    6.
    发明申请
    METHOD OF DETECTING HUMAN USING ATTIRE 审中-公开
    检测人类使用状况的方法

    公开(公告)号:WO2011122931A1

    公开(公告)日:2011-10-06

    申请号:PCT/MY2010/000239

    申请日:2010-10-29

    CPC classification number: G06K9/00369

    Abstract: A method for detecting human using attire is provided. The method comprises detecting and subtracting group motion blob on image sequences from background image; detecting human attire in the group motion blob with help of at least one predefined attire template stored in a database; and validating and extracting individual human image from the image sequences using the detected human attire.

    Abstract translation: 提供了一种使用服装检测人的方法。 该方法包括从背景图像中检测和减去图像序列上的组运动斑点; 在存储在数据库中的至少一个预定义的服装模板的帮助下检测组运动块中的人类服装; 并使用检测到的人类服装从图像序列验证和提取个体人物图像。

    SYSTEM AND METHOD FOR COMPUTING MOTION INFORMATION FROM DETECTED MOVING OBJECTS

    公开(公告)号:WO2022093004A1

    公开(公告)日:2022-05-05

    申请号:PCT/MY2020/050197

    申请日:2020-12-15

    Applicant: MIMOS BERHAD

    Abstract: The present invention discloses a system for computing motion information from detected moving objects, the system comprising a background model module (9), an object presence module (10), and a descriptor module (11). The system is configured for computing a plurality of background models (103) based on inputs from a plurality of learning rates (101), determining whether a detected moving object is present in a captured image (201) for each learning rate (101), and computing at least one descriptor (300, 400, 500, 600) based on the presence of the detected moving objects in the captured image (201) for each learning rate (101).

    A SYSTEM AND METHOD FOR DETECTING A MOVING OBJECT IN A DYNAMIC ENVIRONMENT FROM A SEQUENCE OF CAPTURED IMAGES

    公开(公告)号:WO2022005274A1

    公开(公告)日:2022-01-06

    申请号:PCT/MY2020/050185

    申请日:2020-12-01

    Applicant: MIMOS BERHAD

    Abstract: The present invention discloses a system to detect a moving object in a dynamic environment from a sequence of captured images, comprising a learning rate module (9), an image filtering module (10), an object likelihood level module (11), and an object identification module (12). The system executes the following steps: determining a learning rate seed (301) based on the speed rate (306) of the moving object, applying the determined learning rate seed (301) to a data training module (13) for filtering of background images (403) from captured images, calculating an object likelihood level (505) by computing statistical properties of the filtered images (406), and identifying the moving object based on the object likelihood level (505), wherein the learning rate seed (301) and the object likelihood level (505) are updated based on a processing of one or more new images.

    A SYSTEM AND METHOD FOR CLASSIFYING LEVEL OF AGGRESSIVENESS

    公开(公告)号:WO2021261985A1

    公开(公告)日:2021-12-30

    申请号:PCT/MY2020/050159

    申请日:2020-11-18

    Applicant: MIMOS BERHAD

    Abstract: The present invention relates to a system (1000) and method for classifying level of aggressiveness. The system is configured to classify an aggressive behaviour into a level of aggressiveness based on a video stream. The system comprises a video acquisition unit (10) configured to acquire at least one video stream from at least one video source, an image processing unit (20) configured to convert the at least one video stream into a sequence of image frames and performs data formatting on the sequence of image frames to generate a plurality of volumetric rectangular prisms and an image representation for each of the volumetric rectangular prisms, a training unit (30) configured to perform data training on the plurality of volumetric rectangular prisms and the image representation of each of the volumetric rectangular prisms using a machine learning model and a deep learning model, and an online inferencing unit (40) configured to perform an online fusion of the machine learning model and the deep learning model.

    MACHINE LEARNING-BASED SYSTEM AND METHOD FOR PROCESSING MOVING IMAGE

    公开(公告)号:WO2021107764A1

    公开(公告)日:2021-06-03

    申请号:PCT/MY2020/050123

    申请日:2020-10-28

    Applicant: MIMOS BERHAD

    Abstract: The present invention relates to a machine learning-based system and method for for processing a moving image. The system (10) comprises an input unit (11) for receiving two more image frames of the moving image, wherein the moving image includes one or more subjects being monitored. A processing unit (12) processes the received image frames to predict an incident, wherein the incident is a fight or quarrel between two or more people in the moving image. An output unit (13) outputs prediction result, wherein an alert message is outputted as the prediction result if the incident is predicted.

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