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 125 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
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary StudyCode0
Intelligent Video Recording Optimization using Activity Detection for Surveillance Systems0
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 Prediction0
Anomaly Detection Utilizing a Riemann Metric for Robust Myoelectric Pattern Recognition0
Multi-Beam Integrated Sensing and Communication: State-of-the-Art, Challenges and Opportunities0
Real-Time Motion Detection Using Dynamic Mode DecompositionCode0
TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit0
Solution for Point Tracking Task of ICCV 1st Perception Test Challenge 20230
TDE-3: An improved prior for optical flow computation in spiking neural networks0
Deep Learning Approaches for Seizure Video Analysis: A Review0
Non-Contact Breathing Rate Detection Using Optical Flow0
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical FlowCode0
EGVD: Event-Guided Video DerainingCode0
Computational models of object motion detectors accelerated using FPGA technology0
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Benchmark Results

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