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» Gaussian Process Dynamical Models for Human Motion
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AVSS
2005
IEEE
15 years 5 months ago
Tracking motion objects in infrared videos
We propose motion detection and object tracking method that is particularly suitable for infrared videos. Detection of moving objects in infrared videos is based on changing textu...
Longin Jan Latecki, Roland Miezianko, Dragoljub Po...
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
15 years 6 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
ISRR
2005
Springer
178views Robotics» more  ISRR 2005»
15 years 5 months ago
Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
Aaron Plotnik, Stephen Rock
CVPR
2003
IEEE
16 years 1 months ago
A Road Sign Recognition System Based on Dynamic Visual Model
We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model, call dynamic visual model, consists of three majo...
C. Y. Fang, C. S. Fuh, S. W. Chen, P. S. Yen
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
15 years 6 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...