A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS.
Renas ErcanYunjia XiaYunyi ZhaoRui C. V. LoureiroShufan YangHubin ZhaoPublished in: ISCAS (2024)
Keyphrases
- real time
- machine learning
- detecting moving objects
- shot change detection
- human motion
- machine learning algorithms
- detection method
- motion model
- motion analysis
- motion detection
- motion estimation
- real time tracking
- image sequences
- face detection and tracking
- surveillance videos
- detection of moving objects
- data mining
- detection algorithm
- camera motion
- object detection
- moving target
- false alarms
- control system
- high speed
- optical flow
- automatic detection
- event detection
- moving objects
- motion recognition
- control signals
- vehicle detection
- feature selection
- space time
- learning algorithm
- motion patterns
- background subtraction
- machine learning methods
- traffic signs
- humanoid robot
- natural language processing
- motion field
- anomaly detection
- spatial and temporal