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 1–10 of 101 papers

TitleStatusHype
Theoretical Bounds for Optimized Doppler-Based Motion Detection in UHF-RFID Readers—0
Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning—0
InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systemsCode0
A Physics-Informed Deep Learning Model for MRI Brain Motion CorrectionCode0
STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny TargetsCode0
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary StudyCode0
Intelligent Video Recording Optimization using Activity Detection for Surveillance Systems—0
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance ImagingCode0
neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction—0
Anomaly Detection Utilizing a Riemann Metric for Robust Myoelectric Pattern Recognition—0
Show:102550
← PrevPage 1 of 11Next →

Benchmark Results

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