Target Tracking in the Presence of Intermittent Measurements by a Sparsely Distributed Network of Stationary Cameras.
Christian G. HarrisZachary I. BellEmily A. DoucetteJ. Willard CurtisWarren E. DixonPublished in: ACC (2020)
Keyphrases
- distributed network
- target tracking
- sensor placement
- stationary camera
- kalman filter
- data fusion
- mean shift
- multi sensor
- video camera
- moving objects
- data association
- video streams
- particle filter
- moving target
- ant colony optimization algorithm
- object tracking
- sparse representation
- machine learning
- real time
- image sequences
- image segmentation
- image processing