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 31–40 of 101 papers

TitleStatusHype
Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos—0
Deep Learning Approaches for Seizure Video Analysis: A Review—0
Anomaly Detection Utilizing a Riemann Metric for Robust Myoelectric Pattern Recognition—0
Computational models of object motion detectors accelerated using FPGA technology—0
A Novel Motion Detection Method Resistant to Severe Illumination Changes—0
A large-scale multimodal dataset of human speech recognition—0
A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds—0
A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments—0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds—0
A 60-GHz Radar Sensor for Micron-Scale Motion Detection—0
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Benchmark Results

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