Sciweavers

MICCAI
2009
Springer
13 years 9 months ago
A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography
Real-time three-dimensional (RT3D) echocardiography is the newest generation of three-dimensional (3-D) echocardiography. Segmentation of RT3D echocardiographic images is essential...
Yun Zhu, Xenophon Papademetris, Albert J. Sinusas,...
ICANN
2009
Springer
13 years 9 months ago
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
Matthias Höffken, Daniel Oberhoff, Marina Kol...
ICRA
2002
IEEE
114views Robotics» more  ICRA 2002»
13 years 9 months ago
Learning Motion Patterns of Persons for Mobile Service Robots
We propose a method for learning models of people’s motion behaviors in an indoor environment. As people move through their environments, they do not move randomly. Instead, the...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
ROBOCUP
2004
Springer
138views Robotics» more  ROBOCUP 2004»
13 years 10 months ago
An Algorithm That Recognizes and Reproduces Distinct Types of Humanoid Motion Based on Periodically-Constrained Nonlinear PCA
Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
Rawichote Chalodhorn, Karl F. MacDorman, Minoru As...
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
13 years 10 months ago
Clustering Multidimensional Trajectories based on Shape and Velocity
Recently, the analysis of moving objects has become one of the most important technologies to be used in various applications such as GIS, navigation systems, and locationbased in...
Yutaka Yanagisawa, Tetsuji Satoh
ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
13 years 10 months ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
13 years 11 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ICRA
2009
IEEE
141views Robotics» more  ICRA 2009»
13 years 11 months ago
Detecting repeated motion patterns via Dynamic Programming using motion density
— In this paper, we propose a method that detects repeated motion patterns in a long motion sequence efficiently. Repeated motion patterns are the structured information that ca...
Koichi Ogawara, Yasufumi Tanabe, Ryo Kurazume, Tsu...
CVPR
2010
IEEE
14 years 16 days ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino
CVPR
2009
IEEE
14 years 2 months ago
Motion pattern interpretation and detection for tracking moving vehicles in airborne video
Detection and tracking of moving vehicles in airborne videos is a challenging problem. Many approaches have been proposed to improve motion segmentation on frameby-frame and pixel...
Gérard G. Medioni, Qian Yu