Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset.
Yunyi ZhaoYunjia XiaRui LoureiroHubin ZhaoUwe DolinskyShufan YangPublished in: IWOCL (2023)
Keyphrases
- machine learning
- image sequences
- false positives
- space time
- motion model
- optical flow
- detection algorithm
- false alarms
- motion parameters
- detection method
- motion estimation
- edge detection
- learning algorithm
- motion detection
- decision trees
- detection rate
- event detection
- machine learning methods
- camera motion
- intensity variations
- edge information
- support vector machine
- machine learning algorithms
- knowledge acquisition
- natural language processing
- object detection
- active learning
- moving objects
- information extraction
- data mining
- automatic detection
- anomaly detection
- model selection
- synthetic datasets