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
Anomalous Motion Detection on Highway Using Deep LearningCode0
Development of a skateboarding trick classifier using accelerometry and machine learningCode0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds—0
Any Motion Detector: Learning Class-agnostic Scene Dynamics from a Sequence of LiDAR Point Clouds—0
RPCA-Based High Resolution Through-the-Wall Human Motion Detection and Classification—0
A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments—0
Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques—0
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit—0
WiFi Motion Detection: A Study into Efficacy and Classification—0
A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds—0
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Benchmark Results

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