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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
Inventor: LIANG KIM MENG , TANG SZE LING , ZULAIKHA KADIM , NORSHUHADA SAMUDIN
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.
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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
Inventor: LIM MEI KUAN , LIANG KIM MENG , LAI WENG KIN , ZULAIKHA KADIM , NORSHUHADA SAMUDIN , MALEEHA KIRAN , AHMED A BAHAA
IPC: G06T7/20 , G08B13/194 , H04N7/18
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.
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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
Inventor: LIANG KIM MENG , TANG SZE LING , ZULAIKHA KADIM
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:
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公开(公告)号:MY167117A
公开(公告)日:2018-08-10
申请号:MYPI2011002836
申请日:2011-06-17
Applicant: MIMOS BERHAD
Inventor: LIANG KIM MENG , TANG SZE LING , ZULAIKHA KADIM , NORSHUHADA SAMUDIN
IPC: G06T7/20
Abstract: THE PRESENT INVENTION PROVIDES A SYSTEM AND METHOD FOR ACCURATE OTJECT COUNTING WITH VALIDATING THE COUNT OF OBJECTS IN EACH MOTION BLOB FOR EACH FRAME AND NORMALIZING THE INCONSISTENT COUNT OF OBJECTS FROM EACH FRAME IN ORDER TO DERIVE THE FINAL COUNT OF OBJECTS THAT A MONHERED AREA OR LINE.
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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
Inventor: LIM MEI KUAN , LAI WENG KIN , CHAN CHEE SENG , ZULAIKHA KADIM
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).
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16.
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
Applicant: MIMOS BERHAD , LIM MEI KUAN , LIANG KIM MENG , ZULAIKHA KADIM , TANG SZE LING
Inventor: LIM MEI KUAN , LIANG KIM MENG , ZULAIKHA KADIM , TANG SZE LING
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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公开(公告)号:WO2011078649A3
公开(公告)日:2011-10-06
申请号:PCT/MY2010000241
申请日:2010-10-29
Applicant: MIMOS BERHAD , LIANG KIM MENG , TANG SZE LING , LIM MEI KUAN , ZULAIKHA KADIM , LAI WENG KIN , NORSHUHUDA SAMUDIN , CHAN CHEE SENG , MALEEHA KIRAN , ABD BAHA A ALDEEN AHMED
Inventor: LIANG KIM MENG , TANG SZE LING , LIM MEI KUAN , ZULAIKHA KADIM , LAI WENG KIN , NORSHUHUDA SAMUDIN , CHAN CHEE SENG , MALEEHA KIRAN , ABD BAHA A ALDEEN AHMED
CPC classification number: G06K9/00771 , G06T7/238 , G06T2207/10016 , G06T2207/30232 , G08B13/19613
Abstract: The present invention provides a method for indentifying loitering event occurred on an object within an area of interest from a video stream. The method comprises detecting one or more the objects entering the area-of-interest; extracting (104) an entering time and properties of each of the objects; storing (104) the entering times ad properties of the objects; computing (110) a time-stamp for each object based on a difference between a current time and the entering time of the corresponding object; and identifying (112) a loitering event when the time-stamp is longer than a predetermined period.
Abstract translation: 本发明提供一种用于在视频流中识别感兴趣区域内的对象上发生的游荡事件的方法。 该方法包括检测进入兴趣区的一个或多个物体; 提取(104)每个对象的输入时间和属性; 存储(104)对象的输入时间广告属性; 基于当前时间和相应对象的输入时间之间的差来计算(110)每个对象的时间戳; 以及当所述时间戳长于预定时段时识别(112)游荡事件。
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