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ICIP
2006
IEEE
16 years 2 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
117
Voted
IJCV
2008
188views more  IJCV 2008»
15 years 25 days ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
97
Voted
ICRA
2010
IEEE
127views Robotics» more  ICRA 2010»
14 years 11 months ago
Consistent mapping of multistory buildings by introducing global constraints to graph-based SLAM
— In the past, there has been a tremendous advance in the area of simultaneous localization and mapping (SLAM). However, there are relatively few approaches for incorporating pri...
Michael Karg, Kai M. Wurm, Cyrill Stachniss, Klaus...
TMC
2012
13 years 3 months ago
A Statistical Mechanics-Based Framework to Analyze Ad Hoc Networks with Random Access
—Characterizing the performance of ad hoc networks is one of the most intricate open challenges; conventional ideas based on information-theoretic techniques and inequalities hav...
Sunil Srinivasa, Martin Haenggi
ATC
2008
Springer
15 years 2 months ago
An Operating System Architecture for Organic Computing in Embedded Real-Time Systems
To overcome the rising complexity of computing systems, the paradigms of Autonomic Computing and Organic Computing have been introduced. By using an observer/controller architectur...
Florian Kluge, Jörg Mische, Sascha Uhrig, The...