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We address the problem of voice activity detection in difficult acoustic environments including high levels of noise and transients, which are common in real life scenarios. We consider a multimodal setting, in which the speech signal is captured by a microphone, and a video camera is pointed at the face of the desired speaker. Accordingly, speech detection translates to the question of how to properly...
In this paper we examine and improve a new approach for change detection (introduced in [1]) which is based on the appearance and disappearance of 3D line segments as seen in a new image. These 3D line segments are estimated from a set of learning images taken from arbitrary viewpoints and under arbitrary light conditions in an unsupervised manner. The main advantage of the proposed method lies in...
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