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公开(公告)号：US20240420275A1
公开(公告)日：2024-12-19
申请号：US18816153
申请日：2024-08-27
Applicant: Texas Instruments Incorporated
Abstract: A computer vision system is provided that includes a camera capture component configured to capture an image from a camera, a memory, and an image compression decompression engine (ICDE) coupled to the memory and configured to receive each line of the image, and compress each line to generate a compressed bit stream. To compress a line, the ICDE is configured to divide the line into compression units, and compress each compression unit, wherein to compress a compression unit, the ICDE is configured to perform delta prediction on the compression unit to generate a delta predicted compression unit, compress the delta predicted compression unit using exponential Golomb coding to generate a compressed delta predicted compression unit, and add the compressed delta predicted compression unit to the compressed bit stream.
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公开(公告)号：US20200258188A1
公开(公告)日：2020-08-13
申请号：US16858596
申请日：2020-04-25
Applicant: Texas Instruments Incorporated
Abstract: A computer vision system is provided that includes a camera capture component configured to capture an image from a camera, a memory, and an image compression decompression engine (ICDE) coupled to the memory and configured to receive each line of the image, and compress each line to generate a compressed bit stream. To compress a line, the ICDE is configured to divide the line into compression units, and compress each compression unit, wherein to compress a compression unit, the ICDE is configured to perform delta prediction on the compression unit to generate a delta predicted compression unit, compress the delta predicted compression unit using exponential Golomb coding to generate a compressed delta predicted compression unit, and add the compressed delta predicted compression unit to the compressed bit stream.
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公开(公告)号：US20190244036A1
公开(公告)日：2019-08-08
申请号：US16268200
申请日：2019-02-05
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Hrushikesh Tukaram Garud , Manu Mathew , Soyeb Noormohammed Nagori
CPC classification number: G06K9/00791 , G06K9/00758 , G06K9/52 , G06T7/207 , G06T7/223 , G06T7/238 , G06T7/269 , G06T2207/10016 , G06T2207/20016 , G06T2207/20032 , H04N19/53
Abstract: An image processing system includes a processor and optical flow (OF) determination logic for quantifying relative motion of a feature present in a first frame of video and a second frame of video that provide at least one of temporally and spatially ordered images with respect to the two frames of video. The OF determination logic configures the processor to implement performing OF estimation between the first frame and second frame using a pyramidal block matching (PBM) method to generate an initial optical flow (OF) estimate at a base pyramid level having integer pixel resolution, and refining the initial OF estimate using at least one pass of a modified Lucas-Kanade (LK) method to provide a revised OF estimate having fractional pixel resolution.
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公开(公告)号：US10268901B2
公开(公告)日：2019-04-23
申请号：US15081118
申请日：2016-03-25
Applicant: Texas Instruments Incorporated
Inventor： Hrushikesh Tukaram Garud , Manu Mathew , Soyeb Noormohammed Nagori
Abstract: An image processing system includes a processor and optical flow (OF) determination logic for quantifying relative motion of a feature present in a first frame of video and a second frame of video that provide at least one of temporally and spatially ordered images with respect to the two frames of video. The OF determination logic configures the processor to implement performing OF estimation between the first frame and second frame using a pyramidal block matching (PBM) method to generate an initial optical flow (OF) estimate at a base pyramid level having integer pixel resolution, and refining the initial OF estimate using at least one pass of a modified Lucas-Kanade (LK) method to provide a revised OF estimate having fractional pixel resolution.
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公开(公告)号：US10055674B2
公开(公告)日：2018-08-21
申请号：US15073940
申请日：2016-03-18
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Hrushikesh Tukaram Garud , Soyeb Noormohammed Nagori
CPC classification number: G06K9/6282 , G06K9/00791 , G06T5/002 , G06T5/20 , G06T7/269 , G06T2207/10016 , G06T2207/20076 , G06T2207/30168
Abstract: A confidence map for optical flow gradients is constructed calculating a set of gradients for each pixel of an image, filtering said gradients and extracting confidence values from said gradients using a plurality of decision tree classifiers. A confidence map is then generated from said confidence values.
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Patent Agency Ranking
公开(公告)号：US20170206665A1
公开(公告)日：2017-07-20
申请号：US15169153
申请日：2016-05-31
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Hrushikesh Tukaram Garud , Soyeb Noormohammed Nagori
CPC classification number: G06T7/269 , G06K9/00791 , G06K9/4609 , G06K9/481 , G06K9/6282 , G06T5/002 , G06T7/2033 , G06T7/2066 , G06T7/215 , G06T7/246 , G06T2207/30252
Abstract: A confidence map for optical flow gradients is constructed calculating a set of census texture gradients for each pixel of an image, filtering said gradients and extracting confidence values from said gradients using a plurality of decision tree classifiers. A confidence map is then generated from said confidence values.
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公开(公告)号：US20240386602A1
公开(公告)日：2024-11-21
申请号：US18785164
申请日：2024-07-26
Applicant: Texas Instruments Incorporated
Inventor： Hrushikesh Tukaram Garud , Deepak Poddar , Soyeb Noormohammed Nagori
Abstract: Techniques for localizing a vehicle include obtaining an image from a camera, identifying a set of image feature points in the image, obtaining an approximate location of the vehicle, determining a set of sub-volumes (SVs) of a map to access based on the approximate location, obtaining map feature points and associated map feature descriptors associated with the set of SVs, determining a set of candidate matches between the set of image feature points and the obtained map feature points, determining a set of potential poses of the camera from candidate matches from the set of candidate matches and an associated reprojection error estimated for remaining points to select a first pose of the set of potential poses having a lowest associated reprojection error, determining the first pose is within a threshold value of an expected vehicle location, and outputting a vehicle location based on the first pose.
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公开(公告)号：US12080025B2
公开(公告)日：2024-09-03
申请号：US17887580
申请日：2022-08-15
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Hrushikesh Tukaram Garud , Deepak Poddar , Soyeb Noormohammed Nagori
CPC classification number: G06T7/73 , G01C21/30 , G06T7/75 , G06V10/993 , G06V20/56 , G06V20/647 , B60R2300/302 , G06T2207/30252
Abstract: Techniques for localizing a vehicle include obtaining an image from a camera, identifying a set of image feature points in the image, obtaining an approximate location of the vehicle, determining a set of sub-volumes (SVs) of a map to access based on the approximate location, obtaining map feature points and associated map feature descriptors associated with the set of SVs, determining a set of candidate matches between the set of image feature points and the obtained map feature points, determining a set of potential poses of the camera from candidate matches from the set of candidate matches and an associated reprojection error estimated for remaining points to select a first pose of the set of potential poses having a lowest associated reprojection error, determining the first pose is within a threshold value of an expected vehicle location, and outputting a vehicle location based on the first pose.
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公开(公告)号：US20230202524A1
公开(公告)日：2023-06-29
申请号：US18172495
申请日：2023-02-22
Applicant: Texas Instruments Incorporated
Inventor： Soyeb Noormohammed Nagori , Deepak Poddar , Hrushikesh Tukaram Garud
CPC classification number: B60W60/0015 , G05D1/0278 , G05D1/0246 , G05D1/0223 , G06V20/58 , G06F18/2163 , G06V10/764 , G06V10/82 , G05D2201/0213
Abstract: An example driver assistance system includes an object detection (OD) network, a semantic segmentation network, a processor, and a memory. In an example method, an image is received and stored in the memory. An object detection (OD) polygon is generated for each object detected in the image, and each OD polygon encompasses at least a portion of the corresponding object detected in the image. A region of interest (ROI) is associated with each OD polygon. Such method may further comprise generating a mask for each ROI, each mask configured as a bitmap approximating a size of the corresponding ROI; generating at least one boundary polygon for each mask based on the corresponding mask, each boundary polygon having multiple vertices and enclosing the corresponding mask; and reducing a number of vertices of the boundary polygons based on a comparison between points of the boundary polygons and respective points on the bitmaps.
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公开(公告)号：US11688078B2
公开(公告)日：2023-06-27
申请号：US17093681
申请日：2020-11-10
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Soyeb Noormohammed Nagori , Manu Mathew , Kumar Desappan , Pramod Kumar Swami
CPC classification number: G06T7/20 , G06T7/70 , G06T2207/10016
Abstract: A method for video object detection includes detecting an object in a first video frame, and selecting a first interest point and a second interest point of the object. The first interest point is in a first region of interest located at a first corner of a box surrounding the object. The second interest point is in a second region of interest located at a second corner of the box. The second corner is diagonally opposite the first corner. A first optical flow of the first interest point and a second optical flow of the second interest point are determined. A location of the object in a second video frame is estimated by determining, in the second video frame, a location of the first interest point based on the first optical flow and a location of the second interest point based on the second optical flow.
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