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 21–30 of 101 papers

TitleStatusHype
An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian ModelsCode0
A Robust Road Vanishing Point Detection Adapted to the Real-World Driving ScenesCode0
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical FlowCode0
Multi-Class Model Fitting by Energy Minimization and Mode-SeekingCode0
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare—0
Automatic detection of moving objects in video surveillance—0
Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques—0
An exploration of the performances achievable by combining unsupervised background subtraction algorithms—0
Can Transfer Entropy Infer Information Flow in Neuronal Circuits for Cognitive Processing?—0
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving—0
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Benchmark Results

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