Object tracking by features and particles selection in multiple subspace.
Peng TianJianghua LvShilong MaJin ZhengPublished in: Int. J. Comput. Appl. Technol. (2017)
Keyphrases
- object tracking
- feature space
- multiple cues
- mean shift
- video sequences
- particle filter
- appearance model
- feature extraction
- image sequences
- visual tracking
- appearance modeling
- multiple object tracking
- video surveillance
- computer vision
- multi camera
- moving objects
- partial occlusion
- image features
- tracking accuracy
- particle filtering
- dynamic programming
- image classification
- multiple cameras
- kalman filter
- data association
- background clutter
- robust tracking
- feature vectors
- sparse representation
- visual object tracking