SYSTEM AND METHOD OF OBJECT COUNTING

    公开(公告)号:MY159291A

    公开(公告)日:2016-12-30

    申请号:MYPI2011002848

    申请日:2011-06-17

    Applicant: MIMOS BERHAD

    Abstract: THE PRESENT INVENTION PROVIDES A METHOD OF OBJECT COUNTING, WHICH EMPLOYS LEARNED (40) OCCLUSION RATES OF MOTION BLOBS IN THE CAPTURED SCENE OPTIMIZED CLASSIFIERS BASED ON THE OCCLUSION RATES OF THE MOTION BLOBS, AND COUNTS (80) OBJECTS IN THE TRACKED MOTION BLOBS BY ANALYZING THE TRACKED MOTION BLOBS BASED ON THEIR OCCLUSION RATES THE PRESENT INVENTION ALSO PROVIDES AN OBJECT COUNTING SYSTEM.

    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.

    INTRUSION DETECTION SYSTEM FOR DETERMINING OBJECT POSITION

    公开(公告)号:MY167508A

    公开(公告)日:2018-09-04

    申请号:MYPI2011001676

    申请日:2011-04-14

    Applicant: MIMOS BERHAD

    Abstract: AN INTRUSION DETECTION SYSTEM (10) WITH A DETECTION MEANS (11) FOR DETERMINING OBJECT POSITION IN A MONITORING AREA (17), COMPRISES AN INITIALIZATION MODULE (11A) HAVING AT LEAST ONE CAPTURING DEVICE (16) FOR CAPTURING IMAGES, A PROCESS MODULE (11B) WHICH COMPRISES A COMPARING MEANS (12) FOR DETECTING AN INTEREST OBJECT, A TRACKING MEANS (13) FOR TRACKING SAID DETECTED INTEREST OBJECT, A POSITION DETERMINING MEANS (14) FOR DETERMINING THE EXACT POSITION OF SAID OBJECT BY PERFORMING AREA ANALYSIS BASED ON THE OVERLAPPING AREA OF SAID OBJECT WITH REFERENCE TO THE PATH DIRECTION AND SLOPE DEGREE, AND AN ANALYZING MEANS (15) FOR ANALYZING THE DETERMINED POSITION FOR EVENT TRIGGERING, AND A DISPLAY MODULE (11C) FOR DISPLAYING OUTPUT IMAGES AT THE DISPLAY DEVICES. MOST ILLUSTRATIVE DIAGRAM:

    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 METHOD FOR IDENTITY RECOGNITION BASED ON LIP IMAGE
    16.
    发明申请
    A METHOD FOR IDENTITY RECOGNITION BASED ON LIP IMAGE 审中-公开
    一种基于LIP图像的身份识别方法

    公开(公告)号:WO2011068395A3

    公开(公告)日:2011-08-04

    申请号:PCT/MY2010000225

    申请日:2010-10-28

    CPC classification number: G06K9/00885 G06K9/00281 G06K9/00335 G06K9/4642

    Abstract: A method of identity recognition via human (subject) lip images is proposed. The method includes registration (140) of templates (135) of the lip images for known subjects for later matching with lip images from subjects for identification, by digitally matching (740) with the registered templates (135). The lip portions are divided in four quadrants (410-440) for feature extraction which permits template matching (740) even when only partial Hp images are available for identification. The method includes classifying (220) the lips into categories, for defined characteristic features to be extracted, where the different categories of lips (310-350) contain different prominent features that are unique for representation. The feature extraction from the quadrants may be done in different orientations (610-640). The acquisition of the lip images (110,710) is by available image sensor technologies such as optical imaging, thermal imaging, ultrasonic imaging, passive capacitance and active capacitance imaging.

    Abstract translation: 提出了一种通过人(主体)嘴唇图像进行身份识别的方法。 该方法包括通过与已注册模板(135)进行数字匹配(740),为已知对象注册(140)用于已知对象的唇部图像的模板(135),用于随后与来自用于识别的对象的唇部图像进行匹配。 即使当仅有部分Hp图像可用于识别时,唇缘部分被分成四个象限(410-440)以用于特征提取,其允许模板匹配(740)。 该方法包括将嘴唇分类(220)成类别,以便提取所定义的特征特征,其中嘴唇的不同类别(310-350)包含对于表示独特的不同突出特征。 来自象限的特征提取可以在不同的方向(610-640)完成。 唇部图像(110,710)的采集是通过可用的图像传感器技术,例如光学成像,热成像,超声波成像,无源电容和有源电容成像。

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