Document Detail


Cluster-based distributed face tracking in camera networks.
MedLine Citation:
PMID:  20423804     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this paper, we present a distributed multicamera face tracking system suitable for large wired camera networks. Unlike previous multicamera face tracking systems, our system does not require a central server to coordinate the entire tracking effort. Instead, an efficient camera clustering protocol is used to dynamically form groups of cameras for in-network tracking of individual faces. The clustering protocol includes cluster propagation mechanisms that allow the computational load of face tracking to be transferred to different cameras as the target objects move. Furthermore, the dynamic election of cluster leaders provides robustness against system failures. Our experimental results show that our cluster-based distributed face tracker is capable of accurately tracking multiple faces in real-time. The overall performance of the distributed system is comparable to that of a centralized face tracker, while presenting the advantages of scalability and robustness.
Authors:
Josiah Yoder; Henry Medeiros; Johnny Park; Avinash C Kak
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-04-26
Journal Detail:
Title:  IEEE transactions on image processing : a publication of the IEEE Signal Processing Society     Volume:  19     ISSN:  1941-0042     ISO Abbreviation:  IEEE Trans Image Process     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-09-20     Completed Date:  2011-01-10     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9886191     Medline TA:  IEEE Trans Image Process     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2551-63     Citation Subset:  IM    
Affiliation:
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. yoder2@purdue.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Biometric Identification / methods*
Cluster Analysis
Computer Communication Networks
Head Movements / physiology*
Humans
Nonverbal Communication / physiology*
Pattern Recognition, Automated / methods*
Photography / instrumentation*,  methods*
Population Surveillance / methods
Posture / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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