Motion Detection
19 papers with code • 1 benchmarks • 2 datasets
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
Benchmarks
These leaderboards are used to track progress in Motion Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
nuScenes
KITTI'15 MSplus
Latest papers with no code
Deep Learning for Inertial Sensor Alignment
Accurate alignment of a fixed mobile device equipped with inertial sensors inside a moving vehicle is important for navigation, activity recognition, and other applications.
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization
The energy consumption for position updates, with an accuracy of $40~cm$ (2D) in realistic non-line-of-sight conditions, is $10. 84~mJ$.
Spatio-Temporal Feedback Control of Small Target Motion Detection Visual System
The first subnetwork is designed to extract spatial and temporal motion patterns of cluttered backgrounds by neuronal ensemble coding.
IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning
Our solution achieved 1st place at the IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images Challenge.
Wireless LAN sensing with smart antennas
The paper targets the problem of human motion detection using Wireless Local Area Network devices (WiFi) equipped with pattern reconfigurable antennas.
Passive Motion Detection via mmWave Communication System
Relying on the passive sensing system, a dataset of received signals, where three types of hand gestures are sensed, is collected by using Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) paths as the reference channel respectively.
A Survey on Infrared Image and Video Sets
In this survey, we compile a list of publicly available infrared image and video sets for artificial intelligence and computer vision researchers.
An exploration of the performances achievable by combining unsupervised background subtraction algorithms
Background subtraction (BGS) is a common choice for performing motion detection in video.
Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering
SDR has been applied to various real-world datasets, such as human activity sensory data and astronomical datasets.
3D-FlowNet: Event-based optical flow estimation with 3D representation
Event-based cameras can overpass frame-based cameras limitations for important tasks such as high-speed motion detection during self-driving cars navigation in low illumination conditions.
