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CVPR
2009
IEEE
17 years 1 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
ICCV
2005
IEEE
16 years 8 months ago
Recovering Human Body Configurations Using Pairwise Constraints between Parts
The goal of this work is to recover human body configurations from static images. Without assuming a priori knowledge of scale, pose or appearance, this problem is extremely chall...
Xiaofeng Ren, Alexander C. Berg, Jitendra Malik
ICPR
2010
IEEE
15 years 8 months ago
Recognizing Human Actions Using Key Poses
In this paper, we explore the idea of using only pose, without utilizing any temporal information, for human action recognition. In contrast to the other studies using complex acti...
Sermetcan Baysal, Mehmet Can Kurt, Pinar Duygulu
HCI
2009
15 years 4 months ago
Did I Get It Right: Head Gestures Analysis for Human-Machine Interactions
This paper presents a system for another input modality in a multimodal human-machine interaction scenario. In addition to other common input modalities, e.g. speech, we extract he...
Jürgen Gast, Alexander Bannat, Tobias Rehrl, ...
MVA
2007
106views Computer Vision» more  MVA 2007»
15 years 6 months ago
Feature Extraction from Biological Motion of Human Gait Patterns for Emotion Discrimination
We study a method of a feature extraction to discriminate emotions of human from a sensing data of human gait patterns as ”Biological motion data”. We assume that the high–d...
Hidenori Maruta, Masahiro Ishii