An Energy Efficient Prediction-Based Technique for Tracking Moving Objects in WSNs.
Samer SamarahMuhannad Al-HajriAzzedine BoukerchePublished in: ICC (2011)
Keyphrases
- wireless sensor networks
- moving objects
- energy efficient
- motion segmentation
- object tracking
- dense optical flow
- sensor networks
- mac protocol
- sensor nodes
- multiple moving objects
- video surveillance
- energy consumption
- moving platform
- particle filter
- moving target
- detecting and tracking multiple
- prediction accuracy
- energy efficiency
- spatio temporal
- resource constrained
- optical flow
- kalman filter
- image sequences
- moving object tracking
- tracking objects
- visual tracking
- feature tracking
- object motion
- data transmission
- base station
- ad hoc networks
- background subtraction
- motion model
- mean shift
- continuously moving
- video sequences
- motion detection
- node selection
- moving camera
- road network
- consecutive frames
- data collection
- data gathering
- video scene
- prediction error
- data aggregation
- multi hop
- foreground objects
- three dimensional
- energy saving
- background model
- dynamic background
- real time
- wireless communication
- power consumption
- appearance model
- detection algorithm
- maximum lifetime
- moving object extraction
- computer vision