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ECCV
2000
Springer
14 years 10 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
IJCV
2008
192views more  IJCV 2008»
13 years 8 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
UCS
2007
Springer
14 years 2 months ago
Discriminative Temporal Smoothing for Activity Recognition from Wearable Sensors
Abstract. This paper describes daily life activity recognition using wearable acceleration sensors attached to four different parts of the human body. The experimental data set con...
Jaakko Suutala, Susanna Pirttikangas, Juha Rö...
CIVR
2003
Springer
166views Image Analysis» more  CIVR 2003»
14 years 2 months ago
Evaluation of Expression Recognition Techniques
The most expressive way humans display emotions is through facial expressions. In this work we report on several advances we have made in building a system for classification of f...
Ira Cohen, Nicu Sebe, Yafei Sun, Michael S. Lew, T...
WACV
2005
IEEE
14 years 2 months ago
Combining View-Based and Model-Based Tracking of Articulated Human Movements
Many existing systems for human body tracking are based on dynamic model-based tracking that is driven by local image features. Alternatively, within a view-based approach, tracki...
Cristóbal Curio, Martin A. Giese