公开(公告)号：US20180293753A1

公开(公告)日：2018-10-11

申请号：US15480204

申请日：2017-04-05

Applicant: INTEL CORPORATION

Inventor： Srenivas Varadarajan ,  Omesh Tickoo ,  Parual Datta

IPC: G06T7/73

CPC classification number: G06T7/73 ,  G06K9/00369 ,  G06K9/00778 ,  G06K9/6223 ,  G06K9/6224 ,  G06T2207/20084 ,  G06T2207/30196 ,  G06T2207/30242

Abstract: An example apparatus for estimating poses includes a person estimator to estimate a number of people based on a significant head count of received refined part detections. The apparatus includes a detection clusterer to cluster the refined part detections based on the estimated number of people to generate clustered part detections. The apparatus includes a candidate selector to select candidate person clusters for each clustered part detection based on proximity to the clustered part detection. The apparatus includes a sequential assigner to calculate a cluster affinity score for each combination of candidate person cluster and clustered part detection, and greedily sequentially assign each clustered part detection to a candidate person cluster based on the cluster affinity score to generate person clusters. The apparatus includes a pose generator to generate a pose for each person cluster.

公开(公告)号：US20180174586A1

公开(公告)日：2018-06-21

申请号：US15387508

申请日：2016-12-21

Applicant: Intel Corporation

Inventor： Julio C. Zamora Esquivel ,  Hector A. Cordourier Maruri ,  Paulo Lopez Meyer ,  Alejandro Ibarra Von Borstel ,  Willem M. Beltman ,  Jose R. Camacho Perez ,  Omesh Tickoo

IPC: G10L15/25 ,  G10L15/16 ,  G06K9/00

CPC classification number: G10L15/25 ,  G06K9/00248 ,  G06K9/00281 ,  G06K9/00335 ,  G06K9/627 ,  G10L15/16 ,  G10L2015/088

Abstract: An example apparatus for detecting speech includes an image receiver to receive depth information corresponding to a face. The apparatus also includes a landmark detector to detect the face comprising lips and track a plurality of descriptor points comprising lip descriptor points located around the lips. The apparatus further includes a descriptor computer to calculate a plurality of descriptor features based on the tracked descriptor points. The apparatus includes a pattern generator to generate a visual pattern of the descriptor features over time. The apparatus also further includes a speech recognition engine to detect speech based on the generated visual pattern.

公开(公告)号：US12210941B2

公开(公告)日：2025-01-28

申请号：US17129981

申请日：2020-12-22

Applicant: Intel Corporation

Inventor： Rajesh Poornachandran ,  Vinayak Honkote ,  Rita H. Wouhaybi ,  Omesh Tickoo

IPC: G05B13/02 ,  G06N20/00

Abstract: A controller for an automated machine may include including: one or more processors configured to: determine that a group affiliation of the automated machine switched from a first group of automated machines to a second group of automated machines, the first group of automated machines being assigned to one or more first tasks, the second group of automated machines being assigned to one or more second tasks; generate a message for one or more network devices of the second group of automated machines in accordance with a communication protocol, the message including information about a task performing model of the automated machine, the task performing model being based on a result of performing at least one task of the one or more first tasks by the automated machine.

公开(公告)号：US12209882B2

公开(公告)日：2025-01-28

申请号：US17126072

申请日：2020-12-18

Applicant: Intel Corporation

Inventor： Omesh Tickoo ,  Rajesh Poornachandran ,  David Israel González Aguirre ,  John Charles Weast

IPC: G01C21/00 ,  G05D1/00

Abstract: Various aspects are related to a map representation system including one or more processors configured to: obtain operation task data, the operation task data indicating one or more operation tasks associated with an operation of one or more autonomous agents within a corresponding operating space; and obtain operation task specific map data as a function of the operation task data, the operation task specific map data representing the operating space corresponding to the one or more operation tasks.

公开(公告)号：US12174606B2

公开(公告)日：2024-12-24

申请号：US17130025

申请日：2020-12-22

Applicant: Intel Corporation

Inventor： Rajesh Poornachandran ,  Omesh Tickoo ,  Vinayak Honkote ,  John Charles Weast ,  Rita H. Wouhaybi ,  Stanley Mo

IPC: G05B19/042 ,  B25J19/00 ,  G05B13/02

Abstract: According to various aspects, a controller for an automated machine may include: one or more processors configured to: obtain a message from a further automated machine in accordance with a communication protocol, the message including a first result of a first sensing process that the further automated machine performs; and determine an assessment of the automated machine based on the first result and based on a second result of a second sensing process that the automated machine performs.

公开(公告)号：US20240412366A1

公开(公告)日：2024-12-12

申请号：US18812700

申请日：2024-08-22

Applicant: Intel Corporation

Inventor： Jiaxiang Jiang ,  Athmanarayanan Lakshmi Narayanan ,  Nilesh Ahuja ,  Ibrahima Jacques Ndiour ,  Ergin Utku Genc ,  Mahesh Subedar ,  Omesh Tickoo

IPC: G06T7/00

Abstract: Systems, apparatus, articles of manufacture, and methods to detect anomalies in three-dimensional (3D) images are disclosed. Example apparatus disclosed herein generate a first two-dimensional (2D) anomaly map corresponding to a first 2D image slice of a 3D image, the first 2D image slice corresponding to a first axis of the 3D image. Disclosed example apparatus also generate a second 2D anomaly map corresponding to a second 2D image slice of the 3D image, the second 2D image slice corresponding to a second axis of the 3D image. Disclosed example apparatus further generate a 3D anomaly volume based on the first 2D anomaly map and the second 2D anomaly detection, the 3D anomaly volume corresponding to the 3D image.

公开(公告)号：US20240338563A1

公开(公告)日：2024-10-10

申请号：US18744278

申请日：2024-06-14

Applicant: Intel Corporation

Inventor： Amanda Sofie Rios ,  Nilesh Ahuja ,  Ibrahima Jacques Ndiour ,  Ergin Utku Genc ,  Omesh Tickoo

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: An example apparatus includes interface circuitry, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to extract neural network model features from deployment data, identify out-of-distribution data based on the neural network model features, identify samples with the out-of-distribution data to generate one or more scores associated with post-deployment data drift, and classify post-deployment data based on the one or more scores.

公开(公告)号：US20230237144A1

公开(公告)日：2023-07-27

申请号：US18157154

申请日：2023-01-20

Applicant: Intel Corporation

Inventor： Yen-Kuang Chen ,  Shao-Wen Yang ,  Ibrahima J. Ndiour ,  Yiting Liao ,  Vallabhajosyula S. Somayazulu ,  Omesh Tickoo ,  Srenivas Varadarajan

IPC: G06F21/44 ,  H04L9/06 ,  G06F21/64 ,  G06F21/53 ,  G06N5/022 ,  G06F21/45 ,  H04L9/32 ,  H04W4/70 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/62 ,  G06F9/50 ,  G06N3/04 ,  G06N3/063 ,  G06V10/44 ,  G06V20/00 ,  G06V40/20 ,  G06V40/16 ,  G06F9/48 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/262 ,  G06K15/02 ,  G06F18/24 ,  G06F18/21 ,  G06F18/22 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2413 ,  G06N3/045 ,  G06V30/19 ,  G06V10/82 ,  G06V10/94 ,  G06V10/75 ,  G06V10/20 ,  G06V10/40 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70

CPC classification number: G06F21/44 ,  H04L9/0643 ,  G06F21/64 ,  G06F21/53 ,  G06N5/022 ,  G06F21/45 ,  H04L9/3239 ,  H04W4/70 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/6254 ,  G06F9/5044 ,  G06F9/5072 ,  G06N3/04 ,  G06N3/063 ,  G06V10/454 ,  G06V20/00 ,  G06V40/20 ,  G06V40/161 ,  G06F9/4881 ,  G06F9/5066 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/274 ,  G06K15/1886 ,  G06F18/24 ,  G06F18/21 ,  G06F18/22 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2163 ,  G06F18/24143 ,  G06N3/045 ,  G06V30/19173 ,  G06V10/82 ,  G06V10/95 ,  G06V10/75 ,  G06V10/20 ,  G06V10/40 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70 ,  H04W12/02

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.

公开(公告)号：US20230185895A1

公开(公告)日：2023-06-15

申请号：US18060207

申请日：2022-11-30

Applicant: Intel Corporation

Inventor： Yen-Kuang Chen ,  Shao-Wen Yang ,  Ibrahima J. Ndiour ,  Yiting Liao ,  Vallabhajosyula S. Somayazulu ,  Omesh Tickoo ,  Srenivas Varadarajan

IPC: G06F21/44 ,  H04L9/06 ,  G06F21/64 ,  G06F21/53 ,  G06N5/022 ,  G06F21/45 ,  H04L9/32 ,  H04W4/70 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/62 ,  G06F9/50 ,  G06N3/04 ,  G06N3/063 ,  G06V10/44 ,  G06V20/00 ,  G06V40/20 ,  G06V40/16 ,  G06F9/48 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/262 ,  G06K15/02 ,  G06F18/24 ,  G06F18/21 ,  G06F18/22 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2413 ,  G06N3/045 ,  G06V30/19 ,  G06V10/82 ,  G06V10/94 ,  G06V10/75 ,  G06V10/20 ,  G06V10/40 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70

CPC classification number: G06F21/44 ,  G06F9/4881 ,  G06F9/5044 ,  G06F9/5066 ,  G06F9/5072 ,  G06F16/54 ,  G06F16/535 ,  G06F16/538 ,  G06F16/951 ,  G06F18/21 ,  G06F18/22 ,  G06F18/24 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2163 ,  G06F18/24143 ,  G06F21/45 ,  G06F21/53 ,  G06F21/64 ,  G06F21/6254 ,  G06K15/1886 ,  G06N3/04 ,  G06N3/08 ,  G06N3/045 ,  G06N3/063 ,  G06N5/022 ,  G06T7/11 ,  G06T7/70 ,  G06V10/20 ,  G06V10/40 ,  G06V10/75 ,  G06V10/82 ,  G06V10/95 ,  G06V10/96 ,  G06V10/454 ,  G06V20/00 ,  G06V30/274 ,  G06V30/19173 ,  G06V40/20 ,  G06V40/161 ,  H04L9/0643 ,  H04L9/3239 ,  H04L67/12 ,  H04L67/51 ,  H04N19/46 ,  H04N19/80 ,  H04W4/70 ,  H04W12/02

Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.

公开(公告)号：US11430136B2

公开(公告)日：2022-08-30

申请号：US16721504

申请日：2019-12-19

Applicant: Intel Corporation

Inventor： Srenivas Varadarajan ,  Girish Srinivasa Murthy ,  Anand Bodas ,  Omesh Tickoo ,  Vallabhajosyula Somayazulu

IPC: G06T7/215 ,  G06K9/62 ,  G06V20/40

Abstract: Methods, apparatus, systems and articles of manufacture to improve efficiency of object tracking in video frames are disclosed. An example apparatus includes a clusterer to cluster a map of a video frame into blobs; a comparator to determine an intersection over union value between the blobs and bounding boxes in a second video frame; and an interface to initiate object detection by a neural network on the first video frame when the intersection over union does not satisfy a threshold.