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公开(公告)号：US09811157B2
公开(公告)日：2017-11-07
申请号：US14247589
申请日：2014-04-08
Applicant: COGISEN S.R.L.
Inventor： Christiaan Erik Rijnders
CPC classification number: G06F3/013 , G06K9/00335 , G06K9/00597 , G06K9/0061
Abstract: A method for gaze tracking achieves high performances at the same time requiring both limited processor engagement and reduced power, so as to be particularly but not exclusively fit for mobile uses is described. The method includes the steps of: obtaining a digital video stream of a face through a camera, wherein eyes or pupils are identified in corresponding boxes in the spatial domain, the size thereof being function of the face position and orientation relative to said camera, the content of the boxes being the input for the further calculations; transferring the content of the boxes to the frequency domain; applying to the boxes transferred to the frequency domain one or more sparse zones, covering together a fraction of the boxed area transferred to the frequency domain, and a filtering kernel, at least partially overlapping the sparse zones; performing a multiplication between the frequency data within each sparse zone and the kernel, combining the results in a single value for each sparse zone; and repeating the above steps obtaining for each frame said single value, fluctuation of the single value being representative of gaze direction changes along time.
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公开(公告)号：US10586312B2
公开(公告)日：2020-03-10
申请号：US15899331
申请日：2018-02-19
Applicant: COGISEN S.R.L.
Inventor： Christiaan Erik Rijnders
IPC: H04N7/12 , G06T5/10 , H04N19/149 , G06T5/00 , H04N19/139
Abstract: A method for video compression through image processing and object detection, based on images or a digital video stream of images, to enhance and isolate frequency domain signals representing content to be identified, and decrease or ignore frequency domain noise with respect to the content. A digital image or sequence of digital images defined in a spatial domain are obtained. One or more pairs of sparse zones are selected, each pair generating a selected feature, each zone defined by two sequences of spatial data. The selected features are transformed into frequency domain data. The transfer function, shape and direction of the frequency domain data are varied for each zone, thus generating a normalized complex vector for each feature. The normalized complex vectors are then combined to define a model of the content to be identified.
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公开(公告)号：US10540537B2
公开(公告)日：2020-01-21
申请号：US15899301
申请日：2018-02-19
Applicant: COGISEN S.R.L.
Inventor： Christiaan Erik Rijnders
Abstract: A method for content detection based on images or a digital video stream of images, to enhance and isolate frequency domain signals representing content to be identified, and decrease or ignore frequency domain noise with respect to the content. A digital image or sequence of digital images defined in a spatial domain are obtained. One or more pairs of sparse zones are selected, each pair generating a feature, each zone defined by two sequences of spatial data. The selected features are transformed into frequency domain data. The transfer function, shape and direction of the frequency domain data are varied for each zone, thus generating a normalized complex vector for each feature. The normalized complex vectors are then combined to define a model of the content to be identified.
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