Camera Selection in Far-Field Video Surveillance Networks

Kaimin CHEN  Wei LI  Zhaohuan ZHAN  Binbin LIANG  Songchen HAN  

IEICE TRANSACTIONS on Communications   Vol.E102-B   No.3   pp.528-536
Publication Date: 2019/03/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2018EBP3079
Type of Manuscript: PAPER
Category: Network
camera selection,  far-field surveillance,  activity feature,  target correspondence,  

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Since camera networks for surveillance are becoming extremely dense, finding the most informative and desirable views from different cameras are of increasing importance. In this paper, we propose a camera selection method to achieve the goal of providing the clearest visibility possible and selecting the cameras which exactly capture targets for the far-field surveillance. We design a benefit function that takes into account image visibility and the degree of target matching between different cameras. Here, visibility is defined using the entropy of intensity histogram distribution, and the target correspondence is based on activity features rather than photometric features. The proposed solution is tested in both artificial and real environments. A performance evaluation shows that our target correspondence method well suits far-field surveillance, and our proposed selection method is more effective at identifying the cameras that exactly capture the surveillance target than existing methods.