PAMI
2006
14 years 20 hour ago
2006
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...
EC
2008
14 years 5 days ago
2008
In this paper we address the problem of human body pose estimation from still images. A multi-view set of images of a person sitting at a table is acquired and the pose estimated....
BMCBI
2010
14 years 6 days ago
2010
Background: Molecular studies of microbial diversity have provided many insights into the bacterial communities inhabiting the human body and the environment. A common first step ...
MVA
1990
14 years 1 months ago
1990
In this paper attempts have been focused o n using window-tracking technlque to analyse human body movement.According to the behavlor of human vision systen,an Idea of rough and p...
BMVC
1998
14 years 1 months ago
1998
This paper presents a model based approach to human body tracking in which the 2D silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated within ...
ICVGIP
2004
14 years 1 months ago
2004
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the ...
ICVGIP
2004
14 years 1 months ago
2004
We present a method to determine the 3D spatial locations of joints of a human body from a monocular video sequence of a Bharatanatyam dance. The proposed method uses domain speci...
BIOCOMP
2006
14 years 1 months ago
2006
act Nowadays people are strongly dependent on cars for doing their tasks, but they usually are not aware of hazards which are awaiting them. For instance, since people travel with ...
BILDMED
2007
14 years 1 months ago
2007
Abstract. In this paper we propose a structured approach for the simulation of the human body which is comprehensive and extendable. Our architecture resembles the human organism a...
AMDO
2008
Springer
14 years 2 months ago
2008
Springer
This paper presents a framework for view-invariant action recognition in image sequences. Feature-based human detection becomes extremely challenging when the agent is being observ...