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» Learning Switching Linear Models of Human Motion
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IROS
2006
IEEE
124views Robotics» more  IROS 2006»
14 years 1 months ago
Simulation of Acquisition of Locomotion of an Infant Robot
Abstract— The authors proposed a simulation method to clarify the developmental process of human locomotion using a model of infant robot. The infant robot has many degrees of fr...
Katsuyoshi Tsujita, Tatsuya Masuda
MM
2009
ACM
252views Multimedia» more  MM 2009»
14 years 2 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
PAMI
2008
183views more  PAMI 2008»
13 years 7 months ago
Shape-and-Behavior Encoded Tracking of Bee Dances
Behavior analysis of social insects has garnered impetus in recent years and has led to some advances in fields like control systems, flight navigation etc. Manual labeling of ins...
Ashok Veeraraghavan, Rama Chellappa, Mandyam Srini...
IJCV
2002
219views more  IJCV 2002»
13 years 7 months ago
View-Invariant Representation and Recognition of Actions
Analysis of human perception of motion shows that information for representing the motion is obtained from the dramatic changes in the speed and direction of the trajectory. In thi...
Cen Rao, Alper Yilmaz, Mubarak Shah
NN
1997
Springer
174views Neural Networks» more  NN 1997»
14 years 1 days ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani