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» Viewpoint-Invariant Learning and Detection of Human Heads
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FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
13 years 9 months ago
Viewpoint-Invariant Learning and Detection of Human Heads
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Markus Weber, Wolfgang Einhäuser, Max Welling...
ICPR
2008
IEEE
13 years 11 months ago
A bottom-up, view-point invariant human detector
We propose a bottom-up human detector that can deal with arbitrary poses and viewpoints. Heads, limbs and torsos are individually detected, and an efficient assembly strategy is u...
Nicolas Thome, Sebastien Ambellouis
BMVC
2010
13 years 2 months ago
High Five: Recognising human interactions in TV shows
In this paper we address the problem of recognising interactions between two people in realistic scenarios for video retrieval purposes. We develop a per-person descriptor that us...
Alonso Patron, Marcin Marszalek, Andrew Zisserman,...
ECCV
2006
Springer
14 years 6 months ago
Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
Nan Hu, Weimin Huang, Surendra Ranganath
CLEAR
2006
Springer
151views Biometrics» more  CLEAR 2006»
13 years 8 months ago
Head Pose Estimation on Low Resolution Images
This paper addresses the problem of estimating head pose over a wide range of angles from low-resolution images. Faces are detected using chrominance-based features. Grey-level nor...
Nicolas Gourier, Jérôme Maisonnasse, ...