Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system.
Plamen P. AngelovRamin RamezaniXiaowei ZhouPublished in: IJCNN (2008)
Keyphrases
- object tracking
- video streams
- novelty detection
- takagi sugeno
- video sequences
- video data
- anomaly detection
- fuzzy model
- image sequences
- particle filter
- mean shift
- fuzzy systems
- appearance model
- moving objects
- video surveillance
- neuro fuzzy
- computer vision
- video frames
- clustering algorithm
- fuzzy control
- k means
- controller design
- surveillance videos
- motion detection
- fuzzy clustering
- multi camera
- concept drift
- sparse representation
- data points
- fuzzy inference system
- fuzzy rules
- unsupervised learning
- fuzzy controller
- data mining