A generic particle filtering approach for multiple polyhedral object tracking in a distributed active sensor network.
Benoît FortinRégis LherbierJean-Charles NoyerPublished in: ACSSC (2014)
Keyphrases
- object tracking
- particle filtering
- sensor networks
- particle filter
- communication cost
- mobile sensor networks
- camera network
- visual tracking
- robust object tracking
- appearance model
- mean shift
- multiple targets
- kalman filter
- multi camera
- multiple cameras
- image sequences
- wireless sensor networks
- bayesian filtering
- video sequences
- heterogeneous sensor networks
- sensor data
- video surveillance
- sensor nodes
- multiple object tracking
- mobile sensor
- moving objects
- data association
- camera views
- computer vision
- target tracking
- robust tracking
- data streams
- human motion
- multiple objects
- partial occlusion
- dynamic programming
- image processing
- learning algorithm
- optical flow
- motion estimation
- three dimensional
- sparse representation
- data sets