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Accurate Realtime Motion Estimation Using Optical Flow on an Embedded System

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1 of the 27 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1016/j.micpro.2020.103084 (notice 2023-11-30).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-74936-3_16openalex-snapshot
Illumination-Robust Variational Optical Flow with Photometric Invariants
inferredcites →https://doi.org/10.1007/bf01420984openalex-snapshot
Performance of optical flow techniques
inferredcites →https://doi.org/10.1007/s11554-012-0259-4openalex-snapshot
Motion estimation using the fast and adaptive bidimensional empirical mode decomposition
inferredcites →https://doi.org/10.1007/s11760-013-0594-3openalex-snapshot
High accuracy optical flow estimation based on PDE decomposition
inferredcites →https://doi.org/10.1016/j.cageo.2019.03.007openalex-snapshot
TracTrac: A fast multi-object tracking algorithm for motion estimation
inferredcites →https://doi.org/10.1016/j.compag.2020.105910openalex-snapshot
Optical flow estimation combining with illumination adjustment and edge refinement in livestock UAV videos
inferredcites →https://doi.org/10.1016/j.flowmeasinst.2018.11.009openalex-snapshot
Optical flow for image-based river velocity estimation
inferredcites →https://doi.org/10.1016/j.ijleo.2019.164069openalex-snapshot
Non-local weighted regularization for optical flow estimation
inferredcites →https://doi.org/10.1016/j.ijleo.2020.164923openalex-snapshot
Global optical flow-based estimation of velocity for multicopters using monocular vision in GPS-denied environments
inferredcites →https://doi.org/10.1016/j.ins.2018.12.042openalex-snapshot
Object tracking under large motion: Combining coarse-to-fine search with superpixels
inferredcites →https://doi.org/10.1016/j.jneumeth.2019.108403openalex-snapshot
Virtual reality for animal navigation with camera-based optical flow tracking
inferredcites →https://doi.org/10.1016/j.jvcir.2018.06.006openalex-snapshot
An effective motion object detection method using optical flow estimation under a moving camera
inferredcites →https://doi.org/10.1016/j.micpro.2020.103084openalex-snapshot
RETRACTED: Adaptive motion estimation and sequential outline separation based moving object detection in video surveillance system
inferredcites →https://doi.org/10.1016/j.neucom.2016.06.025openalex-snapshot
Combination of spatio-temporal and transform domain for sparse occlusion estimation by optical flow
inferredcites →https://doi.org/10.1016/j.patcog.2020.107312openalex-snapshot
Learning motion representation for real-time spatio-temporal action localization
inferredcites →https://doi.org/10.1016/j.trc.2014.06.010openalex-snapshot
Real-time estimation of turning movement counts at signalized intersections using signal phase information
inferredcites →https://doi.org/10.1109/aiccsa.2017.93openalex-snapshot
Detecting Video Saliency via Local Motion Estimation
inferredcites →https://doi.org/10.1109/apcase.2015.38openalex-snapshot
Optical Flow as a Tool for Cardiac Motion Estimation
inferredcites →https://doi.org/10.1109/cadiag.2017.8075658openalex-snapshot
Parallel implementation of Sobel filter using CUDA
inferredcites →https://doi.org/10.1109/cvpr.2010.5539939openalex-snapshot
Secrets of optical flow estimation and their principles
inferredcites →https://doi.org/10.1109/icra.2019.8793825openalex-snapshot
Improved Optical Flow for Gesture-based Human-robot Interaction
inferredcites →https://doi.org/10.3390/electronics10030222openalex-snapshot
Ego-Motion Estimation Using Recurrent Convolutional Neural Networks through Optical Flow Learning
inferredcites →https://doi.org/10.3390/electronics10060717openalex-snapshot
Stereo Matching with Spatiotemporal Disparity Refinement Using Simple Linear Iterative Clustering Segmentation
inferredcites →https://doi.org/10.3390/electronics10060746openalex-snapshot
Object Detection Using Improved Bi-Directional Feature Pyramid Network
inferredcites →https://doi.org/10.3390/electronics9101702openalex-snapshot
Salient Object Detection Combining a Self-Attention Module and a Feature Pyramid Network
inferredcites →https://doi.org/10.3390/electronics9111871openalex-snapshot
Tracking and Localization based on Multi-angle Vision for Underwater Target
inferredcites →https://doi.org/10.4018/ijaci.2018010104openalex-snapshot
Novel Technique for 3D Face Recognition Using Anthropometric Methodology

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-94141-3_21openalex-snapshot
Architecture of an Intelligent Network Pyrometer for Building Information-Measuring and Mechatronic Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-20325-0_15openalex-snapshot
Collector Module of Mechatronic Microclimate Control System
inferred← citeshttps://doi.org/10.1007/s11760-025-04055-1openalex-snapshot
TraSFlow: learning traditional optical flow proposal and segmentation for optical flow estimation improvement
inferred← citeshttps://doi.org/10.1007/s40998-024-00722-0openalex-snapshot
Robotic Visual-Based Navigation Structures Using Lucas-Kanade and Horn-Schunck Algorithms of Optical Flow
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e14404openalex-snapshot
Past and current components-based detailing of particle image velocimetry: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.surfin.2026.109052openalex-snapshot
Miniaturized microneedle-based multimodal sensor with visual tactile fusion
inferred← citeshttps://doi.org/10.1038/s41598-023-31866-4openalex-snapshot
Automation of flow analysis in scleral vessels based on descriptive-associative algorithms
inferred← citeshttps://doi.org/10.1109/access.2025.3566313openalex-snapshot
Fully Automated Bladder Volume Measurement System Using a T-Shaped Ultrasound Probe and Free-Hand Motion-Based 3D Reconstruction
inferred← citeshttps://doi.org/10.1109/elmar55880.2022.9899807openalex-snapshot
Real-time density maps generation of moving objects using embedded systems
inferred← citeshttps://doi.org/10.1109/enc68268.2025.11311932openalex-snapshot
Optical Flow-Based Visual Estimation of Translational Displacement Using a Raspberry Pi® Embedded Computer
inferred← citeshttps://doi.org/10.1109/ic2em59347.2023.10419847openalex-snapshot
Mobile Robot Visual Navigation Systems using Optical Flow
inferred← citeshttps://doi.org/10.1109/icrtcst61793.2024.10578461openalex-snapshot
A Brief Survey on Video Stabilization Approaches
inferred← citeshttps://doi.org/10.1109/irac67707.2025.11381116openalex-snapshot
Robust AprilTag Recognition, Tracking and Angle Estimation for Complex Illumination Scenarios
inferred← citeshttps://doi.org/10.1109/iscv54655.2022.9806070openalex-snapshot
Comparative Study of latest CNN based Optical Flow Estimation
inferred← citeshttps://doi.org/10.1109/tr.2023.3324539openalex-snapshot
A Real-Time Adaptive Fault Diagnosis Scheme for Dynamic Systems With Performance Degradation
inferred← citeshttps://doi.org/10.17816/byusu20210325-32openalex-snapshot
Network mechatronic positioning system of plasma spraying unit
inferred← citeshttps://doi.org/10.3390/engproc2026134081openalex-snapshot
Maze Navigating Robot Using Lucas–Kanade Optical Flow with Coarse-to-Fine Method
inferred← citeshttps://doi.org/10.3390/healthcare13131577openalex-snapshot
Evaluating Non-Invasive Computer Vision-Based Quantification of Neonatal Movement as a Marker of Development in Preterm Infants: A Pilot Study
inferred← citeshttps://doi.org/10.3390/math12040555openalex-snapshot
Multicriteria Assessment Method for Network Structure Congestion Based on Traffic Data Using Advanced Computer Vision
inferred← citeshttps://doi.org/10.36306/konjes.1541472openalex-snapshot
OPTICAL FLOW-BASED LIDAR ODOMETRY
inferred← citeshttps://doi.org/10.3788/aos221693openalex-snapshot
基于SPAD阵列探测的空中运动目标识别方法
inferred← citeshttps://doi.org/10.56294/dm2024.364openalex-snapshot
Drones in Action: A Comprehensive Analysis of Drone-Based Monitoring Technologies
inferred← citeshttps://doi.org/10.70769/3030-3214.srt.3.4.2025.15openalex-snapshot
МЕТОДЫ ВЫЧИСЛЕНИЯ СКОРОСТИ ПУЗЫРЬКОВ В ПОВЕРХНОСТНОМ ПЕННЫМ СЛОЕ ФЛОТАЦИОННОЙ МАШИНЫ
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