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 71–80 of 101 papers

TitleStatusHype
Model-free Tracking with Deep Appearance and Motion Features Integration—0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning—0
Deep Learning for Inertial Sensor Alignment—0
Multi-Beam Integrated Sensing and Communication: State-of-the-Art, Challenges and Opportunities—0
Multiple-object tracking in cluttered and crowded public spaces—0
Multi-Scale Saliency Detection using Dictionary Learning—0
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector—0
neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction—0
Non-Contact Breathing Rate Detection Using Optical Flow—0
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Benchmark Results

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