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ICIP
2007
IEEE
13 years 11 months ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen
ICMCS
2006
IEEE
99views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Online Training-Oriented Video Shooting Navigation System Based on Real-Time Camerawork Evaluation
In this paper, we propose an online training-oriented video shooting navigation system focused on camerawork based on video grammar by real-time camerawork evaluation to train use...
Masahito Kumano, Kuniaki Uehara, Yasuo Ariki
DAGM
1997
Springer
13 years 11 months ago
A Feature Map Approach to Real-Time 3-D Object Pose Estimation from Single 2-D Perspective Views
A novel approach to the computation of an approximate estimate of spatial object pose from camera images is proposed. The method is based on a neural network that generates pose hy...
S. Winkler, Patrick Wunsch, Gerd Hirzinger
APIN
2002
90views more  APIN 2002»
13 years 7 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
ICCV
2007
IEEE
14 years 1 months ago
Real Time Body Pose Tracking in an Immersive Training Environment
Abstract. We describe a visual communication application for a dark, theaterlike interactive virtual simulation training environment. Our system visually estimates and tracks the b...
Chi-Wei Chu, Ramakant Nevatia