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A method of motion estimation of segmental ventricular wall with tracking of ultrasonic echocardiogram [PDF]

open access: yesBMC Medical Imaging, 2023
Background Ultrasonic echocardiography is commonly used for monitoring myocardial dysfunction. However, it has limitations such as poor quality of echocardiography images and subjective judgment of doctors.
Shanna Liu   +10 more
doaj   +2 more sources

GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation [PDF]

open access: yesIEEE International Conference on Robotics and Automation, 2021
In this paper, we propose GOHOME, a method leveraging graph representations of the High Definition Map and sparse projections to generate a heatmap output representing the future position probability distribution for a given agent in a traffic scene ...
Thomas Gilles   +4 more
semanticscholar   +1 more source

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue [PDF]

open access: yesMedical Image Anal., 2021
Recently, self-supervised learning technology has been applied to calculate depth and ego-motion from monocular videos, achieving remarkable performance in autonomous driving scenarios.
Shuwei Shao   +6 more
semanticscholar   +1 more source

HOME: Heatmap Output for future Motion Estimation [PDF]

open access: yesInternational Conference on Intelligent Transportation Systems, 2021
In this paper, we propose HOME, a framework tackling the motion forecasting problem with an image output representing the probability distribution of the agent's future location.
Thomas Gilles   +4 more
semanticscholar   +1 more source

Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes [PDF]

open access: yesACM Transactions on Graphics, 2021
For the success of video deblurring, it is essential to utilize information from neighboring frames. Most state-of-the-art video deblurring methods adopt motion compensation between video frames to aggregate information from multiple frames that can help
Hyeongseok Son   +4 more
semanticscholar   +1 more source

Motion Estimation and Compensation in Automotive MIMO SAR [PDF]

open access: yesIEEE transactions on intelligent transportation systems (Print), 2022
With the advent of self-driving vehicles, autonomous driving systems will have to rely on a vast number of heterogeneous sensors to perform dynamic perception of the surrounding environment.
M. Manzoni   +10 more
semanticscholar   +1 more source

Automatic Joint Parameter Estimation from Magnetic Motion Capture Data [PDF]

open access: yesGraphics Interface, 2023
This paper describes a technique for using magnetic motion capture data to determine the joint parameters of an articulated hierarchy. This technique makes it possible to determine limb lengths, joint locations, and sensor placement for a human subject ...
J. F. O'Brien   +3 more
semanticscholar   +1 more source

Accuracy and Speed Improvement of Event Camera Motion Estimation Using a Bird’s-Eye View Transformation

open access: yesSensors, 2022
Event cameras are bio-inspired sensors that have a high dynamic range and temporal resolution. This property enables motion estimation from textures with repeating patterns, which is difficult to achieve with RGB cameras.
Takehiro Ozawa   +2 more
doaj   +1 more source

FAST MOTION ESTIMATION ALGORITHM FOR HEVC VIDEO CODEC [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2020
Subject of Research. The paper considers motion estimation as the most difficult and resource-consuming process in the high efficiency video coding standard. A fast algorithm is proposed that skips the fractional-pixel motion estimation. Method.
Doan Ban Tien, Andrey A. Tropchenko
doaj   +1 more source

HuMoR: 3D Human Motion Model for Robust Pose Estimation [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose and shape. Though substantial progress has been made in estimating 3D human motion and shape from dynamic observations, recovering plausible pose sequences in the presence
Davis Rempe   +5 more
semanticscholar   +1 more source

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