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Background noise reduction has been studied for many years. However, unwanted human speech noise suppression is not well discussed due to sparsity of the speech signal. Traditional blind source separation (BSS) methods such as independent component analysis (ICA) assume the prior knowledge of the number of sources and require that the number of sources must equal the number of sensors. Above limitations...
Multi-vehicle with mutual occlusion tracking is a great challenging task. In this paper, we present a novel scheme based on adaptive multi-strategy to cope with this problem. First, a rule that determines the relation and degree of occlusion among different vehicles is proposed. The rule will output three cases: the first is severely occluded vehicle, the second is partially occluded vehicle and the...
The described system uses natural language processing and data mining techniques to extract situation awareness information from Twitter messages generated during various disasters and crises.
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