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- W61142209 abstract "In this paper we propose an efficient & intuitive algorithm for the design of feature vector quantization using space-time interest point in video surveillance. The performance of activity recognition is generally depend upon the quantity of significant features but with proper feature quantization one can delivered the same performance with less number of features. The basic characteristics of algorithm are discussed and demonstrated by experiment. It is scalable in nature and work efficiently under varying conditions. In an experiment section, we show that our novel feature quantization approach takes less number of features in compared to standard quantization, while delivering the same performance." @default.
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- W61142209 date "2012-01-01" @default.
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- W61142209 title "Representing Feature Quantization Approach Using Spatial-Temporal Relation for Action Recognition" @default.
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- W61142209 doi "https://doi.org/10.1007/978-3-642-27387-2_13" @default.
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