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 91–100 of 101 papers

TitleStatusHype
Multi-Scale Saliency Detection using Dictionary Learning—0
Automatic detection of moving objects in video surveillance—0
Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos—0
“Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels—0
Randomized Low-Rank Dynamic Mode Decomposition for Motion Detection—0
Tracking Motion and Proxemics using Thermal-sensor Array—0
On a spatial-temporal decomposition of the optical flow—0
Semantic Motion Segmentation Using Dense CRF Formulation—0
Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling—0
Multiple-object tracking in cluttered and crowded public spaces—0
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Benchmark Results

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