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 41–50 of 101 papers

TitleStatusHype
Evolution leads to a diversity of motion-detection neuronal circuits—0
Event-based Moving Object Detection and Tracking—0
A Robust Background Initialization Algorithm with Superpixel Motion Detection—0
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT—0
Application Of ADNN For Background Subtraction In Smart Surveillance System—0
“Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels—0
Geometric Change Detection in Digital Twins using 3D Machine Learning—0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds—0
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture—0
Analysis of the Operation of Industrial Trucks based on Position Data—0
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Benchmark Results

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