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ICPR
2004
IEEE
14 years 8 months ago
A Strongly Coupled Architecture for Contextual Object and Scene Identification
The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...
James J. Clark, Tina Ehtiati
AVSS
2006
IEEE
13 years 11 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
TROB
2002
151views more  TROB 2002»
13 years 7 months ago
Cooperative probabilistic state estimation for vision-based autonomous mobile robots
Abstract--With the services that autonomous robots are to provide becoming more demanding, the states that the robots have to estimate become more complex. In this article, we deve...
Thorsten Schmitt, Robert Hanek, Michael Beetz, Seb...
JCP
2008
142views more  JCP 2008»
13 years 7 months ago
Design and Verification of Loosely Coupled Inter-Organizational Workflows with Multi-Level Security
Inter-Organizational Workflows (IOWF) become important as they provide solution for data sharing, heterogeneity in resources and work coordination at global level. However, a secur...
Boleslaw Mikolajczak, Nirmal Gami
IPSN
2007
Springer
14 years 1 months ago
Object tracking in the presence of occlusions via a camera network
This paper describes a sensor network approach to tracking a single object in the presence of static and moving occluders using a network of cameras. To conserve communication ban...
Ali Ozer Ercan, Abbas El Gamal, Leonidas J. Guibas