Multiple-hypothesis chance-constrained target tracking under identity uncertainty.
Yoonseon OhSonghwai OhPublished in: ICRA (2016)
Keyphrases
- target tracking
- chance constrained
- multiple hypothesis
- particle filter
- robust optimization
- chance constraints
- stochastic programming
- kalman filter
- object tracking
- mean shift
- visual tracking
- mathematical programming
- data association
- chance constrained programming
- data fusion
- state space
- computationally tractable
- multistage
- decision theory
- video camera
- multi sensor
- motion model
- moving target
- semidefinite programming
- machine learning
- knapsack problem
- reverse logistics
- search algorithm
- image segmentation
- computer vision