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公开(公告)号：US11410265B2
公开(公告)日：2022-08-09
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：US09811917B2
公开(公告)日：2017-11-07
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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13.发明申请公开(公告)号：US20240394543A1
公开(公告)日：2024-11-28
申请号：US18795565
申请日：2024-08-06
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Kumar Desappan , Soyeb Noormohammed Nagori , Debapriya Maji , Pramod Kumar Swami
Abstract: In an example, a method includes executing, using one or more processors, a power-of-2 parametric activation (PACT2) function to quantize a set of data. The executing of the PACT2 function includes determining a distribution for the set of data; discarding a portion of the data corresponding to a tail of the distribution to form a remaining set of data; estimating a maximum value of the remaining set of data; determining a new maximum value of the remaining set of data using a moving average and at least one historical value of at least one prior remaining set of data; determining a clipping value by expanding the new maximum value to a nearest power of two value; and quantizing the set of data using the clipping value to form a quantized set of data.
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公开(公告)号：US12100063B2
公开(公告)日：2024-09-24
申请号：US17879251
申请日：2022-08-02
Applicant: Texas Instruments Incorporated
CPC classification number: G06T1/20 , G06T1/60 , G06T9/00 , H04N19/91 , G06T2200/28
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：US11891091B2
公开(公告)日：2024-02-06
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 , G05D1/0223 , G05D1/0246 , G05D1/0278 , G06F18/2163 , G06V10/764 , G06V10/82 , G06V20/58 , 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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Patent Agency Ranking
公开(公告)号：US11615262B2
公开(公告)日：2023-03-28
申请号：US16836077
申请日：2020-03-31
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Soyeb Noormohammed Nagori , Shyam Jagannathan
IPC: G06K9/62
Abstract: Disclosed examples include image processing methods and systems to process image data, including computing a plurality of scaled images according to input image data for a current image frame, computing feature vectors for locations of the individual scaled images, classifying the feature vectors to determine sets of detection windows, and grouping detection windows to identify objects in the current frame, where the grouping includes determining first clusters of the detection windows using non-maxima suppression grouping processing, determining positions and scores of second clusters using mean shift clustering according to the first clusters, and determining final clusters representing identified objects in the current image frame using non-maxima suppression grouping of the second clusters. Disclosed examples also include methods and systems to track identified objects from one frame to another using feature vectors and overlap of identified objects between frames to minimize computation intensive operations involving feature vectors.
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公开(公告)号：US11341750B2
公开(公告)日：2022-05-24
申请号：US16268200
申请日：2019-02-05
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：US20200250485A1
公开(公告)日：2020-08-06
申请号：US16784009
申请日：2020-02-06
Applicant: Texas Instruments Incorporated
Inventor： Soyeb Noormohammed Nagori , Deepak Poddar , Hrushikesh Tukaram Garud
Abstract: In described examples, an apparatus includes an object detection (OD) network that is configured to generate OD polygons in response to a received at least one camera image and a semantic segmentation (SS) network that is configured to generate SS data in response to the received at least one camera image. A processor is configured to generate an updated occupancy grid in response to the OD polygons and the SS data. A vehicle is optionally configured to respond to a driving action generated in response to the updated occupancy grid.
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公开(公告)号：US20200226415A1
公开(公告)日：2020-07-16
申请号：US16836077
申请日：2020-03-31
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Soyeb Noormohammed Nagori , Shyam Jagannathan
IPC: G06K9/62
Abstract: Disclosed examples include image processing methods and systems to process image data, including computing a plurality of scaled images according to input image data for a current image frame, computing feature vectors for locations of the individual scaled images, classifying the feature vectors to determine sets of detection windows, and grouping detection windows to identify objects in the current frame, where the grouping includes determining first clusters of the detection windows using non-maxima suppression grouping processing, determining positions and scores of second clusters using mean shift clustering according to the first clusters, and determining final clusters representing identified objects in the current image frame using non-maxima suppression grouping of the second clusters. Disclosed examples also include methods and systems to track identified objects from one frame to another using feature vectors and overlap of identified objects between frames to minimize computation intensive operations involving feature vectors.
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公开(公告)号：US20190073740A1
公开(公告)日：2019-03-07
申请号：US15695266
申请日：2017-09-05
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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