307 search results - page 22 / 62 » A Dynamic Bayesian Network Approach to Tracking Using Learne... |
ASUNAM
2010
IEEE
13 years 10 months ago
2010
IEEE
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
SMC
2007
IEEE
14 years 2 months ago
2007
IEEE
— The computational understanding of continuous human movement plays a significant role in diverse emergent applications in areas ranging from human computer interaction to phys...
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
A requirement common to most dynamic vision applications is the ability to track objects in a sequence of frames. This problem has been extensively studied in the past few years, ...
EXPERT
2010
13 years 6 months ago
2010
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...