Background Modeling for Video Sequences by Stacked Denoising Autoencoders.
Jorge García-GonzálezJuan Miguel Ortiz-de-Lazcano-LobatoRafael M. Luque-BaenaMiguel A. Molina-CabelloEzequiel López-RubioPublished in: CAEPIA (2018)
Keyphrases
- denoising
- background modeling
- video sequences
- object tracking
- moving objects
- foreground objects
- frame rate
- background model
- dynamic background
- background subtraction
- motion detection
- image processing
- natural images
- motion estimation
- image sequences
- object detection
- space time
- varying illumination
- video surveillance
- complex background
- multi camera
- moving camera
- visual tracking
- subspace learning
- video camera
- face tracking
- camera motion
- facial expressions
- dynamic scenes
- particle filter
- video data
- partial occlusion
- template matching
- pixel level
- pixel wise
- feature extraction
- surveillance system
- computer vision