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» People Recognition and Pose Estimation in Image Sequences
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CVPR
2007
IEEE
15 years 11 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
ICVGIP
2004
14 years 11 months ago
Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition
This paper presents an approach for a multi-cue, viewbased recognition of gestures. We describe an exemplarbased technique that combines two different forms of exemplars - shape e...
Vinay D. Shet, V. Shiv Naga Prasad, Ahmed M. Elgam...
ROMAN
2007
IEEE
181views Robotics» more  ROMAN 2007»
15 years 4 months ago
Efficient Articulated Model Fitting on a Single Image or a Sequence
Abstract—Models that can efficiently, compactly, and semantically represent potential users are important tools for human-robot interaction applications. We model a person as a p...
Matheen Siddiqui, Gérard G. Medioni
ICCV
2005
IEEE
15 years 11 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
CVPR
2006
IEEE
15 years 11 months ago
Tracking of the Articulated Upper Body on Multi-View Stereo Image Sequences
We propose a novel method for tracking an articulated model in a 3D-point cloud. The tracking problem is formulated as the registration of two point sets, one of them parameterise...
Julius Ziegler, Kai Nickel, Rainer Stiefelhagen