A METHOD TRACKING AND ANALYZING MOVEMENT

    公开(公告)号:MY159281A

    公开(公告)日:2016-12-30

    申请号:MYPI2010700009

    申请日:2010-03-01

    Applicant: MIMOS BERHAD

    Abstract: A METHOD OF TRACKING AND ANALYZING MOVEMENT OF AT LEAST ONE SUBJECT IN AN ENVIRONMENT, THE METHOD INCLUDES THE STEPS OF OBTAINING AT LEAST ONE IMAGE, DETERMINING A RESTRICTED REGION IN THE ENVIRONMENT, CLASSIFYING MOTION DETECTION OF AT LEAST ONE SUBJECT IN THE LEAST ONE IMAGE INTO MOTION OF AT LEAST ONE ADULT OR AT LEAST ONE CHILD, DETERMINING LOCATION OF THE AT LEAST ONE CHILD, ANALYZING SPEED AND DIRECTION OF MOVEMENT OF THE AT LEAST ONE CHILD AND TRIGGERING AN ALARM.

    SYSTEM AND METHOD TO DETECT LOITERING EVENT IN A REGION

    公开(公告)号:MY159285A

    公开(公告)日:2016-12-30

    申请号:MYPI2010005660

    申请日:2010-11-29

    Applicant: MIMOS BERHAD

    Abstract: THE PRESENT INVENTION RELATES TO A SYSTEM AND METHOD OF SURVEILLANCE TO DETECT LOITERING EVENT, MORE PARTICULARLY TO A SYSTEM AND METHOD TO DETECT LOITERING EVENTS DURING OCCLUSION, NON-OCCLUSION OR BOTH IN A REGION, WHEREIN THE SYSTEM COMPRISES A SUBTRACTING MEANS (100), A TRACKING MEANS (101), A TIMER MEANS (102), A STORAGE MEANS (103), AND A PROCESSOR (104) ELECTRICALLY COUPLED TO THE STORAGE MEANS (105) FOR PROCESSING THE METHODS OF DETERMINING A LOITERING EVENT.SINCE THE SYSTEM IS ABLE TO DETECT LOITERING EVENTS DURING OCCLUSION AND NON OCCLUSION, A METHOD OF IMPLEMENTING MULTI-TIMER APPROACH IS ADAPTED INTO THE SYSTEM; ADDITIONALLY SAID ADAPTED METHOD IS CAPABLE OF DETECTING OF RE-APPEARING SUBJECTS.

    METHOD AND SYSTEM FOR AUTHENTICATING ANIMALS BASED ON PLURALITY OF PHYSICAL FEATURES

    公开(公告)号:MY177049A

    公开(公告)日:2020-09-03

    申请号:MYPI20084323

    申请日:2008-10-30

    Applicant: MIMOS BERHAD

    Abstract: The present invention relates to a method and system for identifying animals based on their physical attributes and more particularly to a method and system for identifying and authenticating animals based on a plurality of their physical attributes through a computerized system provided with suitable image capturing means. First, the animal's physical attributes such as body patterns, paw prints and nose prints (1) are captured via the image capturing means. Such image capturing means include cameras, scanners, imagers and the like. The captured images are subjected to image processing techniques and feature extraction (2) is applied to the captured images to extract the key features associated with the animal and a template is created (3) for each animal. Templates which represent the extracted physical attributes of each animal are stored in a database (4). Whenever an animal is to be identified and/or authenticated, the process of obtaining the physical attributes and features extraction of the physical attributes is repeated to create a new template. Then, a pattern matching process is utilized where the stored template (4) is retrieved and compared (5) against the new template.

    A SYSTEM AND METHOD TO DETECT HUMAN LOITERING ACTIVITY USING TRAJECTORY INFORMATION

    公开(公告)号:MY161490A

    公开(公告)日:2017-04-14

    申请号:MYPI2010005703

    申请日:2010-12-01

    Applicant: MIMOS BERHAD

    Abstract: One embodiment of the present invention provides a system (800) for detecting loitering event in region of interest. Another embodiment of the present invention provides a method (900) for detecting loitering event in region of interest. The method comprising steps of determining presence of at least one object in region of interest (902), tagging each object of interest with identity (904), computing total time stamp for each object of interest (906), determining time span of each object of interest based on trajectory information and speed profile (908), detecting loitering event based on combination of plurality of determining features (910) and triggering alert when loitering event is detected (912).Total timestamp for each object of interest is computed by classifying each object as normal or suspicious by applying plurality of loitering thresholds by further establishing first threshold value TS to determine loitering event depending on time span of each object (1202); determining loitering event when total time span for object ti in region of interest is greater than first threshold value Ts (1204); establishing second threshold value TL to determine loitering event depending on time span status of each object (1206); and determining loitering event when a total time span for object ti in region of interest is greater than second threshold value TL and its trajectory status is abnormal (1208).

    A SYSTEM AND A METHOD FOR IDENTIFYING HUMAN BEHAVIOURAL INTENTION BASED ON AN EFFECTIVE MOTION ANALYSIS
    7.
    发明申请
    A SYSTEM AND A METHOD FOR IDENTIFYING HUMAN BEHAVIOURAL INTENTION BASED ON AN EFFECTIVE MOTION ANALYSIS 审中-公开
    基于有效运动分析识别人体行为意识的系统与方法

    公开(公告)号:WO2010036091A3

    公开(公告)日:2010-06-24

    申请号:PCT/MY2009000153

    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,该系统提供了一种基于特定人体运动跟踪和检测人类意图的方法。 本发明涉及一种基于有效运动分析来识别人的行为意图的系统和方法,其中系统获得从实况场景获取的原始图像序列,并处理活动分析组件中的原始图像。 活动分析组件还提供活动注册组件和活动检测组件。

    APPARATUS AND METHOD FOR VOLUMETRIC MULTI-MODAL HAND BIOMETRLC IDENTIFICATION
    10.
    发明申请
    APPARATUS AND METHOD FOR VOLUMETRIC MULTI-MODAL HAND BIOMETRLC IDENTIFICATION 审中-公开
    用于体积多模态手指生物识别的装置和方法

    公开(公告)号:WO2009028926A3

    公开(公告)日:2009-06-25

    申请号:PCT/MY2008000092

    申请日:2008-08-29

    CPC classification number: G06K9/00375 G06K9/00013 G06K9/6293 G06K2009/00932

    Abstract: The present invention relates to an apparatus and method for volumetric multi- modal hand biometric identification characterized in that wherein the present invention comprises of an illumination source for emitting near infra-red (0.75-1.4 µm in wavelength) and structured light, a camera system with a recorder adapted to capture an image of the object in a digital form; and data fusion that processes the data representation to produce useful information to the system managers and wherein palm prints are extracted from scanners which scanned the palm in which vein pattern biometrics records subcutaneous infra red absorption patterns to produce unique and private identification templates of a user.

    Abstract translation: 本发明涉及用于体积多模式手生物识别的装置和方法,其特征在于,其中本发明包括用于发射近红外(0.75-1.4μm波长)和结构光的照明源,相机系统 具有适于以数字形式捕获对象的图像的记录器; 以及数据融合,其处理数据表示以向系统管理者产生有用的信息,并且其中从扫描手掌的笔画提取手印,其中静脉图案生物测定记录皮下红外吸收图案以产生用户的唯一和私人识别模板。

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