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VSS is composed of three main computing threads
executed asynchronously, using CPU and/or GPU
capabilities and sharing data sequentially. Experi-
mental results with challenging scenarios reveal the
high effectiveness and scalability of the proposed
approach. Furthermore, we have presented an on-
line and unsupervised clustering approach (ODIVC),
which achieves state-of-the-art results in well-known
large-scale datasets, with a reduced computational
cost compared to the alternatives.
Future work will focus on extending our VSS to
distributed computing infrastructures, with heteroge-
neous hardware as nodes of the VSS, including GPU
computing servers that process and share data for
video-surveillance purposes.
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