Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:Research Article Continuous Learning of a Multilayered Network Topology in a Video Camera Network | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID 460689 19 pages doi 2009 460689 Research Article Continuous Learning of a Multilayered Network Topology in a Video Camera Network Xiaotao Zou Bir Bhanu and Amit Roy-Chowdhury Center for Research in Intelligent Systems University of California Riverside CA 92521 USA Correspondence should be addressed to Xiaotao Zou xzou@ Received 20 February 2009 Revised 18 June 2009 Accepted 23 September 2009 Recommended by Nikolaos V. Boulgouris A multilayered camera network architecture with nodes as entry exit points cameras and clusters of cameras at different layers is proposed. Unlike existing methods that used discrete events or appearance information to infer the network topology at a single level this paper integrates face recognition that provides robustness to appearance changes and better models the time-varying traffic patterns in the network. The statistical dependence between the nodes indicating the connectivity and traffic patterns of the camera network is represented by a weighted directed graph and transition times that may have multimodal distributions. The traffic patterns and the network topology may be changing in the dynamic environment. We propose a Monte Carlo ExpectationMaximization algorithm-based continuous learning mechanism to capture the latent dynamically changing characteristics of the network topology. In the experiments a nine-camera network with twenty-five nodes at the lowest level is analyzed both in simulation and in real-life experiments and compared with previous approaches. Copyright 2009 Xiaotao Zou et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Networks of video cameras are being envisioned for a variety of applications and many such .
