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

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Showing 51–100 of 101 papers

TitleStatusHype
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
Randomized Low-Rank Dynamic Mode Decomposition for Motion Detection—0
Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video—0
RPCA-Based High Resolution Through-the-Wall Human Motion Detection and Classification—0
Inference of Upcoming Human Grasp Using EMG During Reach-to-Grasp Movement—0
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization—0
Semantic Motion Segmentation Using Dense CRF Formulation—0
SemEval-2013 Task 3: Spatial Role Labeling—0
Solution for Point Tracking Task of ICCV 1st Perception Test Challenge 2023—0
Spatio-Temporal Feedback Control of Small Target Motion Detection Visual System—0
TDE-3: An improved prior for optical flow computation in spiking neural networks—0
Theoretical Bounds for Optimized Doppler-Based Motion Detection in UHF-RFID Readers—0
Tracking Motion and Proxemics using Thermal-sensor Array—0
TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit—0
Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds—0
Which K-Space Sampling Schemes is good for Motion Artifact Detection in Magnetic Resonance Imaging?—0
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
WisenetMD: Motion Detection Using Dynamic Background Region Analysis—0
3D-FlowNet: Event-based optical flow estimation with 3D representation—0
3D Lip Event Detection via Interframe Motion Divergence at Multiple Temporal Resolutions—0
A 60-GHz Radar Sensor for Micron-Scale Motion Detection—0
Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling—0
Action and intention recognition of pedestrians in urban traffic—0
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving—0
A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds—0
A large-scale multimodal dataset of human speech recognition—0
Analysis of the Operation of Industrial Trucks based on Position Data—0
Attention and Prediction Guided Motion Detection for Low-Contrast Small Moving Targets—0
An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes—0
An exploration of the performances achievable by combining unsupervised background subtraction algorithms—0
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare—0
Anomaly Detection Utilizing a Riemann Metric for Robust Myoelectric Pattern Recognition—0
A Novel Motion Detection Method Resistant to Severe Illumination Changes—0
Any Motion Detector: Learning Class-agnostic Scene Dynamics from a Sequence of LiDAR Point Clouds—0
Application Of ADNN For Background Subtraction In Smart Surveillance System—0
A Robust Background Initialization Algorithm with Superpixel Motion Detection—0
A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds—0
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit—0
A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit—0
A Survey on Infrared Image and Video Sets—0
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Benchmark Results

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