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 81–90 of 101 papers

TitleStatusHype
Evolution leads to a diversity of motion-detection neuronal circuits—0
Learning-Based Quality Control for Cardiac MR Images—0
Event-based Moving Object Detection and Tracking—0
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep LearningCode0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
Independent Motion Detection with Event-driven Cameras—0
Multi-Class Model Fitting by Energy Minimization and Mode-SeekingCode0
Change Detection under Global Viewpoint Uncertainty—0
An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian ModelsCode0
A Novel Motion Detection Method Resistant to Severe Illumination Changes—0
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Benchmark Results

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