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公开(公告)号：US09659220B2
公开(公告)日：2017-05-23
申请号：US14626182
申请日：2015-03-16
Applicant: CANON KABUSHIKI KAISHA
Inventor： Xuyu Zhao , Long Jiang , Yong Jiang
CPC classification number: G06K9/00771 , G06K9/38
Abstract: The present invention relates to the method for updating scene model and video surveillance. A method is provided for updating a scene model in a video which is composed of a plurality of visual elements, comprising: a classifying step for classifying the visual elements in a scene into stationary visual elements and moving visual elements according to their appearance change rates; a border determining step for determining borders from the scene according to a spatial distribution information of the stationary visual elements and the moving visual elements; and an updating step for updating the scene model according to the determined borders in said scene.
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公开(公告)号：US10916016B2
公开(公告)日：2021-02-09
申请号：US16140303
申请日：2018-09-24
Applicant: CANON KABUSHIKI KAISHA
Inventor： Xuyu Zhao , Tsewei Chen
Abstract: Acquiring a current image from an inputted video and a background model which comprises a background image and foreground/background classification information of visual elements; classifying the visual elements in the current image as foreground or background; determining similarity measures between the current image and groups in the background model, wherein visual elements in the current image are the visual elements in the current image which are classified as the foreground, wherein visual elements in the groups in the background model are the visual elements whose classification information is the foreground, and wherein the visual elements in the groups in the background model are the visual elements which neighbour to corresponding portions of the visual elements in the groups in the current image; and identifying whether the visual elements in the current image which are classified as the foreground are falsely classified or not according to the determined similarity measures.
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公开(公告)号：US20190294884A1
公开(公告)日：2019-09-26
申请号：US16353947
申请日：2019-03-14
Applicant: CANON KABUSHIKI KAISHA
Abstract: An image processing apparatus for acquiring a current video frame and a scene model based on an input video; determining, based on visual elements in the current video frame, visual element models in the scene model to be visual element models necessary to be corrected and visual element models unnecessary to be corrected; and correcting the visual element models necessary to be corrected based on reference visual element models, wherein the reference visual element models are visual element models in the scene model that are determined to be the visual element models unnecessary to be corrected based on each of the current video frame and its previous video frames, similarities among the appearance features of the reference visual element models and the visual element models necessary to be corrected in the previous video frames satisfy a predetermined condition.
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公开(公告)号：US20190102888A1
公开(公告)日：2019-04-04
申请号：US16140303
申请日：2018-09-24
Applicant: CANON KABUSHIKI KAISHA
Inventor： Xuyu Zhao , Tsewei Chen
Abstract: Acquiring a current image from an inputted video and a background model which comprises a background image and foreground/background classification information of visual elements; classifying the visual elements in the current image as foreground or background; determining similarity measures between the current image and groups in the background model, wherein visual elements in the current image are the visual elements in the current image which are classified as the foreground, wherein visual elements in the groups in the background model are the visual elements whose classification information is the foreground, and wherein the visual elements in the groups in the background model are the visual elements which neighbour to corresponding portions of the visual elements in the groups in the current image; and identifying whether the visual elements in the current image which are classified as the foreground are falsely classified or not according to the determined similarity measures.
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公开(公告)号：US20190294887A1
公开(公告)日：2019-09-26
申请号：US16355585
申请日：2019-03-15
Applicant: CANON KABUSHIKI KAISHA
Inventor： Xuyu Zhao
Abstract: The present invention discloses an image processing apparatus and method and storage medium storing instructions. The image processing apparatus comprises a unit for acquiring a current video frame and a scene model based on an input video, a unit for updating visual element models in said scene model, which match with the visual elements in said current video frame, based on the visual elements in said current video frame, and a unit for updating visual element models in said scene model, which do not match with the visual elements in said current video frame, based on the visual elements in said current video frame and in the previous video frames thereof. According to the present disclosure, the whole scene model can vary immediately following the variation in the environment illumination.
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Patent Agency Ranking
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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公开(公告)号：US20150363649A1
公开(公告)日：2015-12-17
申请号：US14626182
申请日：2015-03-16
Applicant: CANON KABUSHIKI KAISHA
Inventor： Xuyu Zhao , Long Jiang , Yong Jiang
CPC classification number: G06K9/00771 , G06K9/38
Abstract: The present invention relates to the method for updating scene model and video surveillance. A method is provided for updating a scene model in a video which is composed of a plurality of visual elements, comprising: a classifying step for classifying the visual elements in a scene into stationary visual elements and moving visual elements according to their appearance change rates; a border determining step for determining borders from the scene according to a spatial distribution information of the stationary visual elements and the moving visual elements; and an updating step for updating the scene model according to the determined borders in said scene.
Abstract translation: 本发明涉及用于更新场景模型和视频监控的方法。 提供了一种用于更新由多个视觉元素组成的视频中的场景模型的方法，包括：分类步骤，用于根据场景变化率将场景中的视觉元素分类为静态视觉元素和移动视觉元素; 边界确定步骤，用于根据静止视觉元素和移动视觉元素的空间分布信息确定来自场景的边界; 以及更新步骤，用于根据所述场景中确定的边界来更新场景模型。
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公开(公告)号：US10929686B2
公开(公告)日：2021-02-23
申请号：US16355585
申请日：2019-03-15
Applicant: CANON KABUSHIKI KAISHA
Inventor： Xuyu Zhao
Abstract: The present invention discloses an image processing apparatus and method and storage medium storing instructions. The image processing apparatus comprises a unit for acquiring a current video frame and a scene model based on an input video, a unit for updating visual element models in said scene model, which match with the visual elements in said current video frame, based on the visual elements in said current video frame, and a unit for updating visual element models in said scene model, which do not match with the visual elements in said current video frame, based on the visual elements in said current video frame and in the previous video frames thereof. According to the present disclosure, the whole scene model can vary immediately following the variation in the environment illumination.
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公开(公告)号：US10909379B2
公开(公告)日：2021-02-02
申请号：US16353947
申请日：2019-03-14
Applicant: CANON KABUSHIKI KAISHA
Abstract: An image processing apparatus for acquiring a current video frame and a scene model based on an input video; determining, based on visual elements in the current video frame, visual element models in the scene model to be visual element models necessary to be corrected and visual element models unnecessary to be corrected; and correcting the visual element models necessary to be corrected based on reference visual element models, wherein the reference visual element models are visual element models in the scene model that are determined to be the visual element models unnecessary to be corrected based on each of the current video frame and its previous video frames, similarities among the appearance features of the reference visual element models and the visual element models necessary to be corrected in the previous video frames satisfy a predetermined condition.
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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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