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» Tracking Periodic Motion using Bayesian Estimation
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ICRA
2010
IEEE
193views Robotics» more  ICRA 2010»
13 years 9 months ago
Model-based motion tracking system using distributed network cameras
— For a coexisting and collaborative society that incorporates humans and robots, the detection, tracking, and recognition of human motion are indispensable techniques for a robo...
Yumi Iwashita, Ryo Kurazume, Takamitsu Mori, Masak...
ICIP
2000
IEEE
15 years 14 days ago
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
Stephanus Suryadarma Tandjung, Teddy Surya Gunawan...
ICPR
2002
IEEE
14 years 3 months ago
3D Tracking of Human Locomotion: A Tracking as Recognition Approach
Estimating mode (walking/running/standing) and phases of human locomotion is important for video understanding. We present a new ”tracking as recognition” approach. A hierarch...
Tao Zhao, Ramakant Nevatia
ICIP
2007
IEEE
14 years 5 months ago
Outer-Layer Based Tracking using Entropy as a Similarity Measure
Tracking can be achieved using region active contours based on homogeneity models (intensity, motion...). However the model complexity necessary to achieve a given accuracy might ...
Vincent Garcia, Sylvain Boltz, Eric Debreuve, Mich...
FGR
2006
IEEE
148views Biometrics» more  FGR 2006»
14 years 5 months ago
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...
Chan-Su Lee, Ahmed M. Elgammal