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公开(公告)号:US20190298188A1
公开(公告)日:2019-10-03
申请号:US16010289
申请日:2018-06-15
Applicant: Samsung Electronics Co., Ltd.
Inventor: Alexandra Dana , Jungmok Bae , Matthew Wiggins
Abstract: A method for estimating blood pressure using a blood flow occlusion system applied to an artery includes receiving from a first sensor a sensed signal; processing at a processor the sensed signal to detect beats in a pulsatile signal; determining validity of the detected beats; storing the detected beats and data associated with the detected beats in the sensed signal as the pressure applied to the artery by the blood flow occlusion system deflates towards a level below a nominal level; determining baseline beat characteristics; evaluating the stored beats and associated data to detect change in beat characteristics as compared to the baseline beat characteristics; selecting a beat before the detected change in the beat characteristic as the last beat indicating the onset of the diastolic blood pressure for the artery; determining a value of the applied pressure at the last beat as the diastolic blood pressure for the artery.
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公开(公告)号:US20240303838A1
公开(公告)日:2024-09-12
申请号:US18180643
申请日:2023-03-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Alexandra Dana , Amit Shomer , Nadav Carmel , Tomer Peleg , Assaf Tzabari
Abstract: The present disclosure provides architectures and techniques for absolute depth estimation from a single (e.g., monocular) image, using online depth scale transfer. For instance, estimation of up-to-scale depth maps from monocular images may be decoupled from estimation of the depth scale (e.g., such that additional online measurements, additional calibrations, etc. are not required). One or more aspects of the present disclosure include fine-tuning or training from scratch an absolute depth estimator using collected monocular images, as well as existing images and absolute depth measurements (e.g., from additional setups, such as LiDAR/stereo sensors). Collected monocular images may be used to create up-to-scale depth maps, and existing images and absolute depth measurements may be used to estimate the scale of a scene from the up-to-scale depth map. Scale transfer may thus be achieved between source images with known ground truth depth information and a new target domain of collected monocular images.
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公开(公告)号:US11461992B2
公开(公告)日:2022-10-04
申请号:US17095883
申请日:2020-11-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Ran Vitek , Alexandra Dana , Maor Shutman , Matan Shoef , Yotam Perlitz , Tomer Peleg , Netanel Stein , Roy Josef Jevnisek
Abstract: An object detection system may generate regions of interest (ROIs) from an input image that can be processed by a wide range of object detectors. According to the techniques described herein, an image is processed by a light-weight neural network (e.g., a heatmap network) that outputs object center and object scale heat-maps. The heatmaps are processed to define ROIs that are likely to include objects. Overlapping ROIs are then merged to reduce the aggregate size of the ROIs, and merged ROIs are downscaled to a reduced set of pre-defined resolutions. Fully-convolutional, high-accuracy object detectors may then operate on the downscaled ROIs to output accurate detections at a fraction of the computations by operating on a reduced image. For example, fully-convolutional, high-accuracy object detectors may operate on a subset of the entire image (e.g., cropped images based on ROIs) thus reducing computations otherwise performed over the entire image.
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公开(公告)号:US20240169567A1
公开(公告)日:2024-05-23
申请号:US18354039
申请日:2023-07-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Lior Talker , Alexandra Dana , Aviad Cohen , Erez Yosef , Michael Dinerstein , Amir Ben-Dror
CPC classification number: G06T7/50 , G06T7/13 , G06T2207/20084
Abstract: Systems and methods for depth estimation are provided. One aspect of the systems and methods includes obtaining an image. Another aspect of the systems and methods includes generating a depth map of the image using a monocular depth estimation (MDE) network, where the MDE network is trained using training data including edge data generated by a depth edge estimation (DEE) network.
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公开(公告)号:US20220147751A1
公开(公告)日:2022-05-12
申请号:US17095883
申请日:2020-11-12
Applicant: Samsung Electronics Co., LTD.
Inventor: Ran Vitek , Alexandra Dana , Maor Shutman , Matan Shoef , Yotam Perlitz , Tomer Peleg , Netanel Stein , Roy Josef Jevnisek
Abstract: An object detection system may generate regions of interest (ROIs) from an input image that can be processed by a wide range of object detectors. According to the techniques described herein, an image is processed by a light-weight neural network (e.g., a heatmap network) that outputs object center and object scale heat-maps. The heatmaps are processed to define ROIs that are likely to include objects. Overlapping ROIs are then merged to reduce the aggregate size of the ROIs, and merged ROIs are downscaled to a reduced set of pre-defined resolutions. Fully-convolutional, high-accuracy object detectors may then operate on the downscaled ROIs to output accurate detections at a fraction of the computations by operating on a reduced image. For example, fully-convolutional, high-accuracy object detectors may operate on a subset of the entire image (e.g., cropped images based on ROIs) thus reducing computations otherwise performed over the entire image.
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公开(公告)号:US20230368520A1
公开(公告)日:2023-11-16
申请号:US17663035
申请日:2022-05-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Ishay Goldin , Netanel Stein , Alexandra Dana , Alon Intrater , David Tsidkiahu , Nathan Levy , Omer Shabtai , Ran Vitek , Tal Heller , Yaron Ukrainitz , Yotam Platner , Zuf Pilosof
CPC classification number: G06V10/96 , G06T3/4046 , G06V20/49 , G06V10/82 , G06V20/41 , G06V20/70 , G06V10/774
Abstract: Techniques and apparatuses enabling high accuracy video object detection using reduced system resource requirements (e.g., reduced computational load, shallower neural network designs, etc.) are described. For example, a search domain of an object detection scheme (e.g., a target object class, a target object size, a target object rotation angle, etc.) may be separated into subdomains (e.g., such as subdomains of object classes, subdomains of object sizes, subdomains object rotation angles, etc.). Specialized, subdomain-level object detection/segmentation tasks may then be separated across sequential video frames. As such, different subdomain-level processing techniques (e.g., via specialized neural networks) may be implemented across different frames of a video sequence. Moreover, redundancy information of consecutive video frames may be leveraged, such that specialized object detection tasks combined with visual object tracking across consecutive frames may enable more efficient (e.g., more accurate, less computationally intensive, etc.) full domain object detection and object segmentation schemes.
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公开(公告)号:US11576583B2
公开(公告)日:2023-02-14
申请号:US16010289
申请日:2018-06-15
Applicant: Samsung Electronics Co., Ltd.
Inventor: Alexandra Dana , Jungmok Bae , Matthew Wiggins
IPC: A61B5/021 , A61B5/00 , A61B5/022 , A61B5/11 , A61B8/04 , A61B8/08 , A61B5/0225 , A61B8/02 , A61B5/024 , A61B5/0245
Abstract: A method for estimating blood pressure using a blood flow occlusion system applied to an artery includes receiving from a first sensor a sensed signal; processing at a processor the sensed signal to detect beats in a pulsatile signal; determining validity of the detected beats; storing the detected beats and data associated with the detected beats in the sensed signal as the pressure applied to the artery by the blood flow occlusion system deflates towards a level below a nominal level; determining baseline beat characteristics; evaluating the stored beats and associated data to detect change in beat characteristics as compared to the baseline beat characteristics; selecting a beat before the detected change in the beat characteristic as the last beat indicating the onset of the diastolic blood pressure for the artery; determining a value of the applied pressure at the last beat as the diastolic blood pressure for the artery.
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