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公开(公告)号：US10445885B1
公开(公告)日：2019-10-15
申请号：US15179972
申请日：2016-06-11
Applicant: INTELLI-VISION
Inventor： Vaidhi Nathan , Maxim Sokolov , Lev Afraimovich , Chandan Gope
Abstract: The present invention discloses methods, systems, and computer programmable products for tracking objects across a first frame and a second frame of a video. An object tracking system computes a cost function between each object in the first frame and each object in the second frame. Further, a pair of objects is selected from the first frame and the second frame based on a pre-defined criteria which is based on the computed cost function. Thereafter, the object tracking system established a correspondence between the selected pair of objects.
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2.发明申请公开(公告)号：US20170213080A1
公开(公告)日：2017-07-27
申请号：US15226555
申请日：2016-08-02
Applicant: INTELLI-VISION
Inventor： Vaidhi Nathan , Gagan Gupta , Nitin Jindal , Chandan Gope
CPC classification number: G06K9/00369 , G06K9/4642 , G06K9/6212 , G06T7/11
Abstract: The present invention discloses methods and systems for detecting a human body in an image using a machine learning model. The method includes selecting one or more candidate regions from one or more regions in an image based on a pre-defined threshold. Then, a body is detected in a candidate region of the one or more candidate regions, based on a set of pair-wise constraints. The body detection further includes detection of various body parts. Thereafter, a score is computed for each detected body part and a final score for the candidate region is computed, based on the scores of the detected body parts.
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公开(公告)号：US10169684B1
公开(公告)日：2019-01-01
申请号：US15179966
申请日：2016-06-10
Applicant: INTELLI-VISION
Inventor： Vaidhi Nathan , Gagan Gupta , Nitin Jindal , Chandan Gope
Abstract: The present invention discloses methods and systems for recognizing an object in an input image based on stored training images. An object recognition system the input image, computes a signature of the input image, compares the signature with one or more stored signatures and retrieves one or more matching images from the set of training images. The matching images are then displayed to the user for further action.
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4.发明申请公开(公告)号：US20170213081A1
公开(公告)日：2017-07-27
申请号：US15226610
申请日：2016-08-02
Applicant: INTELLI-VISION
Inventor： Vaidhi Nathan , Gagan Gupta , Nitin Jindal , Chandan Gope
IPC: G06K9/00
CPC classification number: G06K9/00369 , G06K9/4642 , G06K9/6212 , G06T7/11
Abstract: The present invention discloses methods and systems for detecting a human body in an image using a machine learning model. The method includes selecting one or more candidate regions from one or more regions in an image based on a pre-defined threshold. Then, a body is detected in a candidate region of the one or more candidate regions, based on a set of pair-wise constraints. The body detection further includes detection of various body parts. Thereafter, a score is computed for each detected body part and a final score for the candidate region is computed, based on the scores of the detected body parts.
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