Ground target tracking with RCS estimation utilizing probability hypothesis density filters.
Michael MertensMartin UlmkePublished in: FUSION (2013)
Keyphrases
- target tracking
- kalman filter
- data fusion
- cluttered environments
- infrared imagery
- mean shift
- multiple target tracking
- multi sensor
- data association
- particle filter
- video camera
- object tracking
- machine learning
- estimation algorithm
- moving target
- image representation
- higher order
- object detection
- multiresolution
- computer vision