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公开(公告)号：US11354808B2
公开(公告)日：2022-06-07
申请号：US16140279
申请日：2018-09-24
Applicant: CANON KABUSHIKI KAISHA
Inventor： Qin Yang , Tsewei Chen
Abstract: An image processing apparatus including a unit configured to acquire a current image from an inputted video and a background model which comprises a background image and foreground/background classification information of visual elements; a unit configured to determine first similarity measures between visual elements in the current image and the visual elements in the background model; and a unit configured to classify the visual elements in the current image as the foreground or the background according to the current image, the background image in the background model and the first similarity measures. Wherein, the visual elements in the background model are the visual elements whose classification information is the background and which neighbour to corresponding portions of the visual elements in the current image. Accordingly, the accuracy of the foreground detection could be improved.
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公开(公告)号：US10445590B2
公开(公告)日：2019-10-15
申请号：US15597040
申请日：2017-05-16
Applicant: CANON KABUSHIKI KAISHA
Abstract: One of the aspects of the present invention discloses an image processing apparatus. The apparatus comprises: a unit configured to acquire a current image and a background image; a unit configured to detect a foreground object from the current image according to the background image; a unit configured to determine a first parameter according to luminance information of the foreground object in the current image and luminance information of portion corresponding to the foreground object in the background image, wherein the first parameter represents change degree of luminance direction of the portion corresponding to the foreground object from the background image to the foreground image; and a unit configured to identify whether the foreground object is a false foreground object or not according to the first parameter. According to the present invention, the accuracy of identifying the false foreground objects will be improved.
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公开(公告)号：US20190102887A1
公开(公告)日：2019-04-04
申请号：US16140279
申请日：2018-09-24
Applicant: CANON KABUSHIKI KAISHA
Inventor： Qin Yang , Tsewei Chen
Abstract: An image processing apparatus including a unit configured to acquire a current image from an inputted video and a background model which comprises a background image and foreground/background classification information of visual elements; a unit configured to determine first similarity measures between visual elements in the current image and the visual elements in the background model; and a unit configured to classify the visual elements in the current image as the foreground or the background according to the current image, the background image in the background model and the first similarity measures. Wherein, the visual elements in the background model are the visual elements whose classification information is the background and which neighbour to corresponding portions of the visual elements in the current image. Accordingly, the accuracy of the foreground detection could be improved.
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公开(公告)号：US20170337431A1
公开(公告)日：2017-11-23
申请号：US15597040
申请日：2017-05-16
Applicant: CANON KABUSHIKI KAISHA
CPC classification number: G06K9/00771 , G06K9/4642 , G06K9/4661 , G06K9/6212 , H04N7/18 , H04N7/181 , H04N7/183
Abstract: One of the aspects of the present invention discloses an image processing apparatus. The apparatus comprises: a unit configured to acquire a current image and a background image; a unit configured to detect a foreground object from the current image according to the background image; a unit configured to determine a first parameter according to luminance information of the foreground object in the current image and luminance information of portion corresponding to the foreground object in the background image, wherein the first parameter represents change degree of luminance direction of the portion corresponding to the foreground object from the background image to the foreground image; and a unit configured to identify whether the foreground object is a false foreground object or not according to the first parameter. According to the present invention, the accuracy of identifying the false foreground objects will be improved.
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