Moving Object Detection in Video Using Saliency Map and Subspace Learning.
Yanwei PangLi YeXuelong LiJing PanPublished in: CoRR (2015)
Keyphrases
- subspace learning
- moving object detection
- saliency map
- background modeling
- video frames
- video surveillance
- visual attention
- moving camera
- dimensionality reduction
- video sequences
- manifold learning
- natural images
- video data
- data representation
- human visual system
- principal component analysis
- input image
- background subtraction
- face recognition
- moving objects
- sparse coding
- foreground objects
- visual features
- learning algorithm
- key frames
- video content
- low dimensional
- object segmentation
- sparse representation
- semi supervised
- camera motion
- low level features
- object tracking
- image quality
- computer vision
- event detection
- surveillance system
- high dimensional data
- denoising
- object detection
- image processing
- low level
- multimedia