Document Type
Article
Language
eng
Format of Original
13 p.
Publication Date
10-2010
Publisher
Institute of Electrical and Electronics Engineers
Source Publication
IEEE Transactions on Image Processing
Source ISSN
1057-7149
Original Item ID
doi: 10.1109/TIP.2010.2049179
Abstract
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.
Recommended Citation
Yoder, Josiah; Medeiros, Henry; Park, Johnny; and Kak, Avinash, "Cluster-Based Distributed Face Tracking in Camera Networks" (2010). Electrical and Computer Engineering Faculty Research and Publications. 66.
https://epublications.marquette.edu/electric_fac/66
Comments
Accepted version. Reprinted, with permission, from IEEE Transactions on Image Processing, Vol. 19, No. 10 (October 2010): 2551-2563. DOI. © 2010 Institute of Electrical and Electronics Engineers (IEEE).
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Henry Medeiros was affiliated with Purdue University at the time of publication.