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ICIP
2007
IEEE
15 years 2 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»
15 years 5 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
15 years 3 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»
14 years 10 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
15 years 5 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