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» A Probabilistic Background Model for Tracking
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ICIP
2009
IEEE
15 years 11 months ago
Rapid And Robust Human Detection And Tracking Based On Omega-shape Features
This paper proposes a novel method for rapid and robust human detection and tracking based on the omega-shape features of people's head-shoulder parts. There are two modules ...
BMCBI
2010
88views more  BMCBI 2010»
14 years 10 months ago
Robust probabilistic superposition and comparison of protein structures
Background: Protein structure comparison is a central issue in structural bioinformatics. The standard dissimilarity measure for protein structures is the root mean square deviati...
Martin Mechelke, Michael Habeck
MVA
2008
140views Computer Vision» more  MVA 2008»
14 years 9 months ago
An occlusion metric for selecting robust camera configurations
Vision based tracking systems for surveillance and motion capture rely on a set of cameras to sense the environment. The exact placement or configuration of these cameras can have...
Xing Chen, James Davis
IROS
2009
IEEE
156views Robotics» more  IROS 2009»
15 years 4 months ago
Nonparametric belief propagation for distributed tracking of robot networks with noisy inter-distance measurements
— We consider the problem of tracking multiple moving robots using noisy sensing of inter-robot and interbeacon distances. Sensing is local: there are three fixed beacons at kno...
Jeremy Schiff, Erik B. Sudderth, Kenneth Y. Goldbe...
ICCV
2003
IEEE
15 years 11 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu