Using incremental subspace and contour template for object tracking.
Jihao YinChongyang FuJiankun HuPublished in: J. Netw. Comput. Appl. (2012)
Keyphrases
- multiscale
- object tracking
- mean shift
- image segmentation
- particle filter
- image sequences
- video sequences
- template matching
- video surveillance
- kalman filter
- low dimensional
- active contours
- appearance model
- particle filtering
- moving objects
- video surveillance systems
- computer vision
- multiple object tracking
- high dimensional
- feature space
- appearance modeling
- multiple cameras
- partial occlusion
- high dimensional data
- feature extraction
- linear subspace
- visual tracking
- matching algorithm
- sparse representation
- subspace learning
- dimensionality reduction
- object tracking algorithm
- object location
- visual object tracking
- robust object tracking
- machine learning
- feature selection
- object appearance
- robust tracking
- multi camera
- pattern recognition