SOTAVerified

Motion Detection

Motion Detection is a process to detect the presence of any moving entity in an area of interest. Motion Detection is of great importance due to its application in various areas such as surveillance and security, smart homes, and health monitoring.

Source: Different Approaches for Human Activity Recognition– A Survey

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 101 papers

TitleStatusHype
WiFi Motion Detection: A Study into Efficacy and Classification—0
WiP Abstract : Robust Out-of-distribution Motion Detection and Localization in Autonomous CPS—0
Wireless LAN sensing with smart antennas—0
2D-Motion Detection using SNNs with Graphene-Insulator-Graphene Memristive Synapses—0
A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments—0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds—0
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT—0
Event-based Moving Object Detection and Tracking—0
Evolution leads to a diversity of motion-detection neuronal circuits—0
Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study—0
“Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels—0
Geometric Change Detection in Digital Twins using 3D Machine Learning—0
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture—0
Human Motion Detection Based on Dual-Graph and Weighted Nuclear Norm Regularizations—0
Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering—0
IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning—0
Independent Motion Detection with Event-driven Cameras—0
Intelligent Video Recording Optimization using Activity Detection for Surveillance Systems—0
Learning-Based Quality Control for Cardiac MR Images—0
Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones—0
Model-free Tracking with Deep Appearance and Motion Features Integration—0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning—0
Deep Learning for Inertial Sensor Alignment—0
Multi-Beam Integrated Sensing and Communication: State-of-the-Art, Challenges and Opportunities—0
Multiple-object tracking in cluttered and crowded public spaces—0
Multi-Scale Saliency Detection using Dictionary Learning—0
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector—0
neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction—0
Non-Contact Breathing Rate Detection Using Optical Flow—0
On a spatial-temporal decomposition of the optical flow—0
Passive Motion Detection via mmWave Communication System—0
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical FlowCode0
Development of a skateboarding trick classifier using accelerometry and machine learningCode0
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary StudyCode0
InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systemsCode0
STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny TargetsCode0
EGVD: Event-Guided Video DerainingCode0
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep LearningCode0
Comparative study of motion detection methods for video surveillance systemsCode0
Learning heterogeneous delays in a layer of spiking neurons for fast motion detectionCode0
Real-Time Motion Detection Using Dynamic Mode DecompositionCode0
Unsupervised Online Video Object Segmentation with Motion Property UnderstandingCode0
An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian ModelsCode0
Motion Detection using CSI from Raspberry Pi 4Code0
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance ImagingCode0
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape CollectionsCode0
A Physics-Informed Deep Learning Model for MRI Brain Motion CorrectionCode0
Anomalous Motion Detection on Highway Using Deep LearningCode0
Multi-Class Model Fitting by Energy Minimization and Mode-SeekingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FastFlowNet (Kitti)F1 (%)92.9—Unverified
2Raft (Kitti)F1 (%)89.5—Unverified