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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：MY158147A
公开(公告)日：2016-09-15
申请号：MYPI2010001363
申请日：2010-03-26
Applicant: MIMOS BERHAD
Inventor： LIANG KIM MENG , LIM MEI KUAN , TANG SZE LING , ZULAIKHA KADIM
Abstract: [0045] THE PRESENT INVENTION PROVIDES A METHOD FOR TRACKING AND CHARACTERIZING MOTION BLOBS. THE METHOD COMPRISES EXTRACTING (110) MOTION BLOBS FROM A PREVIOUS FRAME AND A CURRENT FRAME; COMPUTING (120) RELATIONSHIPS BETWEEN MOTION BLOBS OF THE PREVIOUS FRAME AND THE CURRENT FRAME; COMPUTING RELATIONSHIPS BETWEEN EACH MOTION BLOBS OF THE CURRENT FRAME; COMPUTING (130) AN OBJECT BLOB BASED ON THE RELATIONSHIPS BETWEEN THE MOTION BLOBS OF THE PREVIOUS FRAME AND THE CURRENT FRAME; DETERMINING (140) AN OBJECT BASED ON THE OBJECT BLOB; AND CHARACTERIZING (150) THE OBJECT BASED ON THE RELATIONSHIPS BETWEEN THE MOTION BLOBS OF THE CURRENT FRAME. [0046]
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公开(公告)号：MY178647A
公开(公告)日：2020-10-19
申请号：MYPI20093242
申请日：2009-08-05
Applicant: MIMOS BERHAD
Inventor： LIM MEI KUAN , LIANG KIM MENG , ZULAIKHA KADIM , TANG SZE LING
Abstract: A method of producing signals to estimate dimension of an object from a sequence of image is described. It is difficult to determine a real dimension of an object in a two dimensional image. A scale factor map is constructed by using grid and reference object with known dimension to assist in estimating dimension of an object. First, the position of the moving reference object with known dimension in a grid is determined. Then, the scale factor of each position traveled by the reference object in the grid is determined by comparing the real dimension of reference object with projected dimension of reference object. Next, the scale factor of other position in the grid is calculated to construct a scale factor map by interpolation. The compiled scale factor of every position in a grid provides a scale factor map that relatively indicates a scale to be used for a position in the grid to estimate a dimension. The real dimension of a target can be obtained by using the projected dimension of the object and a scale factor at a particular position. Fig. 1
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公开(公告)号：MY176067A
公开(公告)日：2020-07-24
申请号：MYPI20093494
申请日：2009-08-24
Applicant: MIMOS BERHAD
Inventor： LIANG KIM MENG , ZULAIKHA KADIM , TANG SZE LING , LIM MEI MENG
Abstract: A security system (10) for detecting suspicious event comprises an area selection module (11) and a behavior analysis module (12). The area selection module (11) is used to specify (20) at least one suspicious boundary area (14) in a scene (13). The behavior analysis module (12) then identify human in an image (17a) of the scene (13) containing image sequence (17) characterized in that gaze behavior information is obtained from identified human and said gaze behavior information is processed (37) with predetermined rules to detect suspicious behavior event.
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公开(公告)号：MY173744A
公开(公告)日：2020-02-18
申请号：MYPI20092455
申请日：2009-06-15
Applicant: MIMOS BERHAD
Inventor： LIANG KIM MENG , ZULAIKHA KADIM , AHMED BAHAA AL-DEEN , LIM MEI KUAN , TANG SZE LING
Abstract: A method to determine point-of-sight from a sequence of image is described with the following steps. First, visual fixation of human is determined from a sequence of image (20). Then, gaze intersection of visual fixation is detected (40). Multiscale weight is then computed (61) which assign weightage to each pixel which reflect the significance of a particular point, assuming that a point nearer to the detected intersection has a higher possibility of being point-of-sight. Every weightage map is next superimposed and new weightage point for every coordinate is accumulated (62). Later, the master point-of-sight map is updated (63) and harmonized (64). A high value of weightage indicates high probability of point-of-sight. Finally, the weightage of each pixel in the master point-of-sight map is analyzed and compared against predefined rules to indicate the level of suspiciousness in the scene and actuate alert accordingly 80.
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Patent Agency Ranking
公开(公告)号：MY173003A
公开(公告)日：2019-12-18
申请号：MYPI20093678
申请日：2009-09-04
Applicant: MIMOS BERHAD
Inventor： LIANG KIM MENG , ZULAIKHA KADIM , LIM MEI KUAN , TANG SZE LING
IPC: A61B3/113
Abstract: A method of providing a signal to predict trajectory path of an object from a sequence of image is described. The image is analyzed by first collecting common paths (16) of a scene. Then, objects entering the scene are analyzed to determine gaze direction of object (50). Later, a frame-based probability of predicted path based on gaze direction of object in each frame (70) is determined. Next, block-based probability of predicted path based on intervals of a number of frames (74) is determined. The trajectory path can be predicted from highest probability and common path (76).
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公开(公告)号：MY167109A
公开(公告)日：2018-08-10
申请号：MYPI20095129
申请日：2009-12-02
Applicant: MIMOS BERHAD
Inventor： LIM MEI KUAN , LIANG KIM MENG , ZULAIKHA KADIM , TANG SZE LING
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.
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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：MY164004A
公开(公告)日：2017-11-15
申请号：MYPI2010001056
申请日：2010-03-11
Applicant: MIMOS BERHAD
Inventor： TANG SZE LING , LIANG KIM MENG , LIM MEI KUAN
Abstract: THERE IS PROVIDED A METHOD FOR USE IN HUMAN AUTHENTICATION, SAID METHOD COMPRISING THE STEPS OF: PROVIDING CAPTURED IMAGE SEQUENCES; PROVIDING POSTURE GAITS BASED ON SAID IMAGE SEQUENCES; STORING SAID POSTURE GAITS IN A DATABASE; SUBTRACTING THE BACKGROUND FROM FOREGROUND OF EACH IMAGE SEQUENCE; WHEREIN SAID SUBTRACTING COMPRISES OBTAINING THE FOREGROUND SILHOUETTE IN EACH IMAGE SEQUENCE; CONSTRUCTING SKELETONS BASED ON SAID FOREGROUND SILHOUETTE IMAGE SEQUENCE; WHEREIN EACH OF SAID SKELETONS COMPRISES AT LEAST ONE CENTROID AND AT LEAST THREE (3) EXTREMIS; DETERMINING THE VERTICAL DISTANCES BETWEEN SAID THREE (3) EXTREMIS AND CENTROID; DETERMINING THE HORIZONTAL DISTANCES BETWEEN SAID THREE (3) EXTREMIS AND CENTROID; TRACKING AND IDENTIFYING THE HUMAN OF INTEREST BASED ON MATCHING BETWEEN IMAGE OF HUMAN OF INTEREST STORED DATABASE AND CONSTRUCTED SKELETONS. MOST ILLUSTRATIVE FIGURE(S): FIG 1
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