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- W2070313847 abstract "Intelligent video surveillance is a challenging issue due to complicated scenes. Based on empirical and experimental explorations, we propose a multi-person tracking-by-detection framework to achieve pedestrian counting at run time. This framework is integrated with a stream based cloud computing paradigm to improve tracking performance. We evaluated our approach which shows improved time performance compared with those classical approaches." @default.
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- W2070313847 date "2014-10-01" @default.
- W2070313847 modified "2023-10-16" @default.
- W2070313847 title "Online Multiperson Tracking and Counting with Cloud Computing" @default.
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- W2070313847 doi "https://doi.org/10.1109/iiki.2014.22" @default.
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