Improving object visual tracking performance by scene occluder estimation for video surveillance.
Lu WangLisheng XuLiling HaoQingxu DengMax Q.-H. MengPublished in: ICIA (2016)
Keyphrases
- video surveillance
- visual tracking
- object tracking
- moving objects
- video sequences
- object appearance
- scene understanding
- appearance model
- tracking objects
- image sequences
- particle filter
- partial occlusion
- particle filtering
- motion detection
- foreground objects
- multiple cameras
- mean shift
- background subtraction
- kalman filter
- dynamic scenes
- visual surveillance
- appearance variations
- multiple objects
- data association
- multi target tracking
- computer vision
- multi camera
- camera motion
- three dimensional
- optical flow
- d scene
- ground plane
- background modeling
- background model
- single image
- machine learning
- object classes
- illumination conditions
- human motion
- state space
- sparse representation