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公开(公告)号：US20210056710A1
公开(公告)日：2021-02-25
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
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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公开(公告)号：US20230137337A1
公开(公告)日：2023-05-04
申请号：US17851651
申请日：2022-06-28
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Debapriya MAJI , Soyeb NAGORI , Manu MATHEW , Deepak Kumar PODDAR
Abstract: A technique for key-point detection, including receiving, by a machine learning model, an input image, generating a set of image features for the input image, determining, by the machine learning model, based on the set of image features, a bounding box for an object detected in the input image, the bounding box described by bounding box information, identifying, by the machine learning model, based on the set of image features and a center point of the bounding box, a plurality of key-points associated with the object, filtering the plurality of key-points based on a confidence score associated with each key-point of the plurality of key-points, and outputting coordinates of the plurality of key-points, confidence scores associated with the plurality of key-points, and the bounding box information.
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公开(公告)号：US20220180642A1
公开(公告)日：2022-06-09
申请号：US17678411
申请日：2022-02-23
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Deepak PODDAR , Soyeb NAGORI , Manu MATHEW , Debapriya MAJI
Abstract: Techniques including receiving a distorted image from a camera disposed about a vehicle, detecting, in the distorted image, corner points associated with a target object, mapping the corner points to a distortion corrected domain based on one or more camera parameters, mapping the corner points and lines between the corner points back to a distorted domain based on the camera parameters, interpolating one or more intermediate points to generate lines between the corner points in the distortion corrected domain mapping the corner points and the lines between the corner points back to a distorted domain based on the camera parameters, and adjusting a direction of travel of the vehicle based on the located target object.
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公开(公告)号：US20190295262A1
公开(公告)日：2019-09-26
申请号：US16157861
申请日：2018-10-11
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Soyeb Noormohammed NAGORI , Manu MATHEW , Kumar DESAPPAN , Pramod Kumar SWAMI
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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