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公开(公告)号:US10268919B1
公开(公告)日:2019-04-23
申请号:US14860579
申请日:2015-09-21
Applicant: Brain Corporation
Inventor: Filip Piekniewski , Micah Richert
Abstract: Methods and apparatus for tracking and discerning objects using their saliency. In one embodiment of the present disclosure, the tracking of objects is based on a combination of object saliency and additional sources of signal about object identity. Under certain simplifying assumptions, the present disclosure allows for robust tracking of simple objects with limited processing resources. In one or more variants, efficient implementation of the methods described allow sensors (e.g., cameras) to be used on board a robot (or autonomous vehicle) on a mobile determining platform, such as to capture images to determine the presence and/or identity of salient objects. Such determination of salient objects allow for e.g., adjustments to vehicle or other moving object trajectory.
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公开(公告)号:US20190043208A1
公开(公告)日:2019-02-07
申请号:US16042901
申请日:2018-07-23
Applicant: Brain Corporation
Inventor: Filip Piekniewski , Micah Richert , Dimitry Fisher
IPC: G06T7/292
Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.
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公开(公告)号:US20180278820A1
公开(公告)日:2018-09-27
申请号:US15845891
申请日:2017-12-18
Applicant: Brain Corporation
Inventor: Filip Piekniewski , Vadim Polonichko , Eugene Izhikevich
IPC: H04N5/225 , B60W30/09 , H01L31/0216 , G06K9/52 , G06K9/46 , G06K9/00 , G02B27/00 , G02B13/00 , G02B7/38 , G02B5/20 , G01C3/08 , B60W30/16 , B60W30/14
CPC classification number: H04N5/2258 , B60W30/09 , B60W30/14 , B60W30/16 , G01C3/08 , G02B5/204 , G02B7/38 , G02B13/0015 , G02B27/0075 , G06K9/00624 , G06K9/00664 , G06K9/00791 , G06K9/00825 , G06K9/4614 , G06K9/522 , H01L31/02162 , H04N5/2253 , H05K999/99
Abstract: An optical object detection apparatus and associated methods. The apparatus may comprise a lens (e.g., fixed-focal length wide aperture lens) and an image sensor. The fixed focal length of the lens may correspond to a depth of field area in front of the lens. When an object enters the depth of field area (e.g., sue to a relative motion between the object and the lens) the object representation on the image sensor plane may be in-focus. Objects outside the depth of field area may be out of focus. In-focus representations of objects may be characterized by a greater contrast parameter compared to out of focus representations. One or more images provided by the detection apparatus may be analyzed in order to determine useful information (e.g., an image contrast parameter) of a given image. Based on the image contrast meeting one or more criteria, a detection indication may be produced.
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公开(公告)号:US10055850B2
公开(公告)日:2018-08-21
申请号:US14637138
申请日:2015-03-03
Applicant: Brain Corporation
Inventor: Filip Piekniewski , Micah Richert , Dimitry Fisher
CPC classification number: G06K9/4671 , B25J9/1664 , B25J9/1697 , G01B11/14 , G06K9/00624 , G06K9/00664 , G06K9/3241 , G06K9/4623 , G06K9/4642 , G06K9/4652 , G06K9/48 , G06T3/00 , G06T7/20 , G06T7/246 , G06T7/285 , G06T7/292 , G06T7/90 , G06T2200/04 , G06T2207/10024 , G06T2207/20164 , G06T2207/30241 , G06T2215/16 , H04N9/7973 , Y10S901/09 , Y10S901/47
Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.
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公开(公告)号:US09987752B2
公开(公告)日:2018-06-05
申请号:US15179851
申请日:2016-06-10
Applicant: BRAIN CORPORATION
Inventor: Dimitry Fisher , Cody Griffin , Micah Richert , Filip Piekniewski , Eugene Izhikevich , Jayram Moorkanikara Nageswaran , John Black
CPC classification number: B25J9/1697 , G06K9/00671 , G06K9/4652 , G06K9/4661 , G06T7/11 , G06T2207/10024 , G06T2207/10048 , H04N5/33
Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.
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公开(公告)号:US20180018775A1
公开(公告)日:2018-01-18
申请号:US15627096
申请日:2017-06-19
Applicant: Brain Corporation
Inventor: Filip Piekniewski , Micah Richert , Dimitry Fisher , Patryk Laurent , Csaba Petre
CPC classification number: G06T7/20 , G06F12/08 , G06F2212/1016 , G06F2212/401 , G06T1/60 , G06T7/0002 , G06T9/002 , G06T9/004 , G06T2207/20084
Abstract: Systems and methods for predictive/reconstructive visual object tracking are disclosed. The visual object tracking has advanced abilities to track objects in scenes, which can have a variety of applications as discussed in this disclosure. In some exemplary implementations, a visual system can comprise a plurality of associative memory units, wherein each associative memory unit has a plurality of layers. The associative memory units can be communicatively coupled to each other in a hierarchical structure, wherein data in associative memory units in higher levels of the hierarchical structure are more abstract than lower associative memory units. The associative memory units can communicate to one another supplying contextual data.
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公开(公告)号:US09870617B2
公开(公告)日:2018-01-16
申请号:US14637191
申请日:2015-03-03
Applicant: Brain Corporation
Inventor: Filip Piekniewski , Micah Richert , Dimitry Fisher
IPC: G06K9/00 , G06T7/00 , H04N9/797 , G06K9/32 , G06K9/46 , G06T7/20 , G06K9/48 , G06T7/246 , G06T7/90
CPC classification number: G06T7/292 , G06K9/3241 , G06K9/4623 , G06K9/4642 , G06K9/4652 , G06K9/4671 , G06K9/48 , G06T7/20 , G06T7/246 , G06T7/90 , G06T2207/10024 , G06T2207/20164 , G06T2207/30241 , G06T2215/16 , H04N9/7973
Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.
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公开(公告)号:US09848112B2
公开(公告)日:2017-12-19
申请号:US14321736
申请日:2014-07-01
Applicant: Brain Corporation
Inventor: Filip Piekniewski , Vadim Polonichko , Eugene Izhikevich
IPC: H04N5/225 , G01C3/08 , G02B7/38 , B60W30/09 , B60W30/14 , G06K9/00 , G02B5/20 , G02B13/00 , B60W30/16 , G06K9/46 , G06K9/52 , G02B27/00
CPC classification number: H04N5/2258 , B60W30/09 , B60W30/14 , B60W30/16 , G01C3/08 , G02B5/204 , G02B7/38 , G02B13/0015 , G02B27/0075 , G06K9/00624 , G06K9/00664 , G06K9/00791 , G06K9/00825 , G06K9/4614 , G06K9/522 , H04N5/2253
Abstract: An optical object detection apparatus and associated methods. The apparatus may comprise a lens (e.g., fixed-focal length wide aperture lens) and an image sensor. The fixed focal length of the lens may correspond to a depth of field area in front of the lens. When an object enters the depth of field area (e.g., due to a relative motion between the object and the lens) the object representation on the image sensor plane may be in-focus. Objects outside the depth of field area may be out of focus. In-focus representations of objects may be characterized by a greater contrast parameter compared to out of focus representations. One or more images provided by the detection apparatus may be analyzed in order to determine useful information (e.g., an image contrast parameter) of a given image. Based on the image contrast meeting one or more criteria, a detection indication may be produced.
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公开(公告)号:US20170355081A1
公开(公告)日:2017-12-14
申请号:US15179851
申请日:2016-06-10
Applicant: BRAIN CORPORATION
Inventor: Dimitry Fisher , Cody Griffin , Micah Richert , Filip Piekniewski , Eugene lzhikevich , Jayram Moorkanikara Nageswaran , John Black
CPC classification number: B25J9/1697 , G06K9/00671 , G06K9/4652 , G06K9/4661 , G06T7/11 , G06T2207/10024 , G06T2207/10048 , H04N5/33
Abstract: Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.
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公开(公告)号:US20160004923A1
公开(公告)日:2016-01-07
申请号:US14321736
申请日:2014-07-01
Applicant: Brain Corporation
Inventor: Filip Piekniewski , Vadim Polonichko , Eugene Izhikevich
CPC classification number: H04N5/2258 , B60W30/09 , B60W30/14 , B60W30/16 , G01C3/08 , G02B5/204 , G02B7/38 , G02B13/0015 , G02B27/0075 , G06K9/00624 , G06K9/00664 , G06K9/00791 , G06K9/00825 , G06K9/4614 , G06K9/522 , H04N5/2253
Abstract: An optical object detection apparatus and associated methods. The apparatus may comprise a lens (e.g., fixed-focal length wide aperture lens) and an image sensor. The fixed focal length of the lens may correspond to a depth of field area in front of the lens. When an object enters the depth of field area (e.g., sue to a relative motion between the object and the lens) the object representation on the image sensor plane may be in-focus. Objects outside the depth of field area may be out of focus. In-focus representations of objects may be characterized by a greater contrast parameter compared to out of focus representations. One or more images provided by the detection apparatus may be analyzed in order to determine useful information (e.g., an image contrast parameter) of a given image. Based on the image contrast meeting one or more criteria, a detection indication may be produced.
Abstract translation: 一种光学物体检测装置及相关方法。 该装置可以包括透镜(例如,固定焦距宽孔径透镜)和图像传感器。 透镜的固定焦距可以对应于透镜前方的景深区域。 当物体进入景深区域(例如,起诉到物体和透镜之间的相对运动)时,图像传感器平面上的对象表示可能是对焦的。 景深外的物体可能会失焦。 与焦点外表示相比,物体的对焦表示可以表现为较大的对比度参数。 可以分析由检测装置提供的一个或多个图像,以便确定给定图像的有用信息(例如,图像对比度参数)。 基于符合一个或多个标准的图像对比,可以产生检测指示。
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