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» Learning and Recognizing Human Dynamics in Video Sequences
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TSMC
2008
162views more  TSMC 2008»
15 years 1 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
16 years 3 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
16 years 2 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 8 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
16 years 3 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...