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- W2153644838 abstract "We present a probabilistic reliable-inference framework to address the issue of rapid-and-reliable detection of human actions. The approach determines the shortest video exposure needed for low-latency recognition by sequentially evaluating a series of posterior class ratios to find the earliest reliable decision point. Results are presented for a set of people walking, running, and standing at different styles and multiple viewpoints, and compared to an alternative ML approach." @default.
- W2153644838 created "2016-06-24" @default.
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- W2153644838 date "2005-04-01" @default.
- W2153644838 modified "2023-09-25" @default.
- W2153644838 title "Sequential Reliable-Inference for Rapid Detection of Human Actions" @default.
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- W2153644838 doi "https://doi.org/10.1109/cvpr.2004.435" @default.
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