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Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks

Serhan Cosar
Serhan Cosar
Müjdat Çetin
Müjdat Çetin

Computer Vision and Image Understanding, Volume 139, Issue C, 2015, Pages 40-58.

Cited by: 2|Bibtex|Views13|DOI:https://doi.org/10.1016/j.cviu.2015.04.010
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Other Links: academic.microsoft.com|dblp.uni-trier.de|dl.acm.org|www.sciencedirect.com
Keywords:
Camera networksVisual sensor networksHuman trackingSparse representationDesigning overcomplete dictionaries

Abstract:

A decentralized approach for multi-view multi-person tracking in VSNs.Design overcomplete dictionaries matched to the structure of likelihoods functions.Obtain sparse representation of likelihoods to reduce communication in the network.Comparison on well-known L1-solvers to choose a fast and reliable method.Qualitatively and quantitativel...More

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