Panoramic background modeling for PTZ cameras with competitive learning neural networks.
Karl Thurnhofer-HemsiEzequiel López-RubioEnrique DomínguezRafael Marcos Luque BaenaMiguel A. Molina-CabelloPublished in: IJCNN (2017)
Keyphrases
- competitive learning
- background modeling
- neural network
- surveillance system
- motion detection
- background subtraction
- object tracking
- video surveillance
- multi camera
- moving objects
- complex background
- object detection
- background model
- field of view
- image sequences
- pattern recognition
- unsupervised learning
- static camera
- frame rate
- vision system
- foreground objects
- d scene
- particle filter
- high resolution
- object recognition
- image processing
- computer vision