A temporal ontology guided clustering methodology with a case study on detection and tracking of artificial intelligence topics.
Sahand VahidniaAlireza AbbasiHussein A. AbbassPublished in: Expert Syst. Appl. (2024)
Keyphrases
- artificial intelligence
- k means
- temporal consistency
- clustering algorithm
- knowledge representation
- detecting and tracking multiple
- human detection
- multi target tracking
- object detection
- methodological framework
- anomaly detection
- topic detection
- face detection and tracking
- joint detection
- detection method
- visual tracking
- clustering method
- temporal information
- ontology engineering
- domain ontology
- crowded scenes
- semantic web
- particle filter
- false detections
- case study
- detection rate
- temporal constraints
- spatio temporal
- real time
- kalman filter
- intelligent systems
- temporal trends
- computer science
- expert systems
- spatial and temporal
- conceptual model
- motion model
- temporal segmentation
- temporal reasoning
- temporal data
- knowledge base
- tracking scheme
- appearance model
- data association
- moving target
- key concepts
- partial occlusion
- document clustering
- object tracking
- mean shift
- face detection
- detection algorithm
- domain specific
- natural language processing
- data points
- information retrieval