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Probabilistic Correspondence in Video Sequences for Efficient State Estimation and Autonomous Flight.
Tyler Ryan
H. Jin Kim
Published in:
IEEE Trans. Robotics (2016)
Keyphrases
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state estimation
video sequences
visual tracking
state space model
bayesian networks
video data
computer vision
particle filter
kalman filter
image sequences
computationally efficient
learning algorithm
camera motion
object tracking
probabilistic model
human motion
kalman filtering