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» Learning and Recognizing Human Dynamics in Video Sequences
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TSMC
2008
162views more  TSMC 2008»
14 years 9 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
ICPR
2008
IEEE
15 years 10 months ago
3D Shape Context and Distance Transform for action recognition
We propose the use of 3D (2D+time) Shape Context to recognize the spatial and temporal details inherent in human actions. We represent an action in a video sequence by a 3D point ...
Franziska Meier, Irfan A. Essa, Matthias Grundmann
CHI
2002
ACM
15 years 10 months ago
LAFCam: Leveraging affective feedback camcorder
If a video camera recognizes and records affective data from the camera operator, this data can help determine which sequences will be interesting to the camera operator at a late...
Andrea Lockerd, Florian Mueller
CVPR
2006
IEEE
15 years 3 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
ECCV
1996
Springer
15 years 11 months ago
Learning Dynamics of Complex Motions from Image Sequences
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...
David Reynard, Andrew Wildenberg, Andrew Blake, Jo...