Papers Motion Detection
“Motion Detection” 태그가 달린 논문 108편 · 필터 해제
Physically Real-time Infrared Attack against Optical Flow Estimation Networks
With the promising performance of deep neural networks on image-based tasks, different real-world applications such as autonomous driving and motion detection have become increasingly mature and relevant to human lives. …
Optical Flow EstimationAutonomous DrivingMotion DetectionAn Event-Driven Framework for Fly-Inspired Visual Motion Detection
Fast and reliable motion detection is essential for machine vision and autonomous systems operating in dynamic environments. This work integrates emerging event-based sensing with biologically structured neural computati…
Motion DetectionEmpirical Evaluation of Multi-Modal Touch Detection in Over-the-Shoulder Video Surveillance
Video Intelligence Surveillance (VIDINT) on over-the-shoulder footage is a proposed vector for monitoring human-computer interaction patterns without direct screen recording access. In this paper, we evaluate a Behaviora…
Motion DetectionAppearance-Invariant Detection of Suggestive Motion via Laban Movement Descriptors
Content moderation in online multiplayer 3D virtual environments is increasingly automated, yet detection has focused on images, video, and audio, leaving suggestive motion a blind spot. We present a motion-only classifi…
Motion DetectionMulti-material Direct Ink Writing and Embroidery for Stretchable Wearable Sensors
The development of wearable sensing systems for sports performance tracking, rehabilitation, and injury prevention has driven growing demand for smart garments that combine comfort, durability, and accurate motion detect…
Motion DetectionApplication and Evaluation of the Common Circles Method
We investigate the application of the common circle method for estimating sample motion in optical diffraction tomography (ODT) of sub-millimeter sized biological tissue. When samples are confined via contact-free acoust…
Motion DetectionIndian Sign Language Detection for Real-Time Translation using Machine Learning
Gestural language is used by deaf & mute communities to communicate through hand gestures & body movements that rely on visual-spatial patterns known as sign languages. Sign languages, which rely on visual-spatial patter…
Motion DetectionTheoretical Bounds for Optimized Doppler-Based Motion Detection in UHF-RFID Readers
Radio Frequency Identification (RFID) is a widely used technology for identifying and locating objects equipped with low-cost RFID transponders (tags). UHF (Ultra High Frequency) RFID operates in frequency bands around 9…
Motion DetectionTAGMotion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning
Purpose: T2* quantification from gradient echo magnetic resonance imaging is particularly affected by subject motion due to the high sensitivity to magnetic field inhomogeneities, which are influenced by motion and might…
Line DetectionMotion DetectionInTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systems
With the rapid expansion of the Internet of Things (IoT), sensors, smartphones, and wearables have become integral to daily life, powering smart applications in home automation, healthcare, and intelligent transportation…
Cloud ComputingEdge-computingMotion DetectionA Physics-Informed Deep Learning Model for MRI Brain Motion Correction
Background: MRI is crucial for brain imaging but is highly susceptible to motion artifacts due to long acquisition times. This study introduces PI-MoCoNet, a physics-informed motion correction network that integrates spa…
DiagnosticMotion Detectionparameter estimationSSIMSTMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny Targets
Recognizing motions of tiny targets - only few dozen pixels - in cluttered backgrounds remains a fundamental challenge when standard feature-based or deep learning methods fail under scarce visual cues. We propose STMDNe…
CPUMotion DetectionDo Current Video LLMs Have Strong OCR Abilities? A Preliminary Study
With the rise of multimodal large language models, accurately extracting and understanding textual information from video content, referred to as video based optical character recognition (Video OCR), has become a crucia…
Motion DetectionOptical Character RecognitionOptical Character Recognition (OCR)Temporal LocalizationIntelligent Video Recording Optimization using Activity Detection for Surveillance Systems
Surveillance systems often struggle with managing vast amounts of footage, much of which is irrelevant, leading to inefficient storage and challenges in event retrieval. This paper addresses these issues by proposing an …
Action DetectionActivity DetectionHuman DetectionMotion Detection+2Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging
In Magnetic Resonance Imaging (MRI), high temporal-resolved motion can be useful for image acquisition and reconstruction, MR-guided radiotherapy, dynamic contrast-enhancement, flow and perfusion imaging, and functional …
Motion DetectionMotion EstimationneuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction
Autonomous mobile robots can rely on several human motion detection and prediction systems for safe and efficient navigation in human environments, but the underline model architectures can have different impacts on the …
Human motion predictionMotion Detectionmotion predictionPredictionAnomaly Detection Utilizing a Riemann Metric for Robust Myoelectric Pattern Recognition
Traditional myoelectric pattern recognition (MPR) systems excel within controlled laboratory environments but they are interfered when confronted with anomaly or novel motions not encountered during the training phase. U…
Anomaly DetectionMotion DetectionMulti-Beam Integrated Sensing and Communication: State-of-the-Art, Challenges and Opportunities
Integrated sensing and communication (ISAC) has been envisioned as a critical enabling technology for the next-generation wireless communication, which can realize location/motion detection of surroundings with communica…
Integrated sensing and communicationISACMotion DetectionReal-Time Motion Detection Using Dynamic Mode Decomposition
Dynamic Mode Decomposition (DMD) is a numerical method that seeks to fit timeseries data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according …
Motion DetectionTSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit
Detecting small moving objects in complex backgrounds from an overhead perspective is a highly challenging task for machine vision systems. As an inspiration from nature, the avian visual system is capable of processing …
Motion Detection