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Event detection using "variable module graphs" for home care applications
Amit Sethi
, Mandar Rahurkar
, Thomas S. Huang
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peer-review
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Keyphrases
Event Detection
100%
Home Care
100%
Low-level Features
100%
Variable Module
100%
High-level Features
75%
Anomalous Behavior
50%
Trajectory Analysis
25%
Human Detection
25%
Feature Extraction
25%
Design Approach
25%
Blob
25%
Detection Analysis
25%
Machine Learning Techniques
25%
Image Processing Techniques
25%
Vision System
25%
Track-before-detect
25%
Vision Task
25%
Video Capture
25%
Track Analysis
25%
Human Involvement
25%
Capture Device
25%
Surveillance Video
25%
Recognition Analysis
25%
Human Tracking
25%
Irregular Behavior
25%
M-graph
25%
Complex Event Detection
25%
Surveillance Event Detection
25%
Low-level Feature Extraction
25%
High-level Feature Extraction
25%
Human Trajectory
25%
Developing Applications
25%
Signal/image Processing
25%
Sound Capture
25%
Computer Science
Event Detection
100%
Anomalous Behavior
66%
Feature Extraction
66%
Research Community
33%
Image Processing Technique
33%
Vision Systems
33%
Machine Learning Technique
33%
Human Involvement
33%
surveillance video
33%