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 61–70 of 101 papers

TitleStatusHype
“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
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Benchmark Results

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