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Cluster-based distributed face tracking in camera networks.

Josiah Yoder1, Henry Medeiros, Johnny Park

  • 1School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. yoder2@purdue.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 29, 2010
PubMed
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This study introduces a distributed multicamera face tracking system that eliminates the need for a central server. The novel cluster-based approach offers scalable and robust real-time multi-face tracking in large camera networks.

Area of Science:

  • Computer Vision
  • Distributed Systems
  • Networked Systems

Background:

  • Existing multicamera face tracking systems often rely on centralized servers, limiting scalability and robustness.
  • Large-scale surveillance and interaction systems require efficient and decentralized tracking solutions.

Purpose of the Study:

  • To present a distributed multicamera face tracking system for large wired camera networks.
  • To enable in-network face tracking without a central coordinating server.
  • To enhance scalability and robustness in multicamera tracking systems.

Main Methods:

  • A novel camera clustering protocol is employed to dynamically form groups for in-network face tracking.
  • Cluster propagation mechanisms facilitate load balancing by transferring computational tasks as targets move.

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  • Dynamic election of cluster leaders ensures system resilience against failures.

    • Main Results:

    • Experimental results demonstrate accurate real-time tracking of multiple faces.
    • The distributed system's performance is comparable to centralized face tracking approaches.
    • The system exhibits significant advantages in scalability and robustness.

    Conclusions:

    • The proposed distributed multicamera face tracking system effectively addresses the limitations of centralized architectures.
    • The cluster-based approach provides a scalable, robust, and efficient solution for real-time multi-face tracking.
    • This system is well-suited for large-scale wired camera networks.