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BMVC
2010
13 years 8 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
BMVC
2010
13 years 8 months ago
Discriminative Topics Modelling for Action Feature Selection and Recognition
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xian...
TITS
2010
118views Education» more  TITS 2010»
13 years 4 months ago
Vision-Based Infotainment User Determination by Hand Recognition for Driver Assistance
We present a novel real-time computer-vision system that robustly discriminates which of the front-row seat occupants is accessing the infotainment controls. The knowledge of who i...
Shinko Y. Cheng, Mohan M. Trivedi
ICCV
2011
IEEE
12 years 10 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
HRI
2006
ACM
14 years 4 months ago
The effect of head-nod recognition in human-robot conversation
This paper reports on a study of human participants with a robot designed to participate in a collaborative conversation with a human. The purpose of the study was to investigate ...
Candace L. Sidner, Christopher Lee, Louis-Philippe...