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

Showing 110 of 101 papers

TitleStatusHype
Event-Based Motion MagnificationCode2
Optical Flow Based Motion Detection for Autonomous DrivingCode1
UAV Images Dataset for Moving Object Detection from Moving CamerasCode1
Multimodal and multiview distillation for real-time player detection on a football fieldCode1
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural NetworksCode1
Theoretical Bounds for Optimized Doppler-Based Motion Detection in UHF-RFID Readers0
Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning0
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
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Benchmark Results

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