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 51–60 of 101 papers

TitleStatusHype
Inference of Upcoming Human Grasp Using EMG During Reach-to-Grasp Movement—0
UAV Images Dataset for Moving Object Detection from Moving CamerasCode1
A Robust Road Vanishing Point Detection Adapted to the Real-World Driving ScenesCode0
Which K-Space Sampling Schemes is good for Motion Artifact Detection in Magnetic Resonance Imaging?—0
Geometric Change Detection in Digital Twins using 3D Machine Learning—0
A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit—0
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT—0
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare—0
Anomalous Motion Detection on Highway Using Deep LearningCode0
Development of a skateboarding trick classifier using accelerometry and machine learningCode0
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Benchmark Results

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