Titlebook: Computer Vision -- ECCV 2012. Workshops and Demonstrations; Florence, Italy, Oct Andrea Fusiello,Vittorio Murino,Rita Cucchiara Conference

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書目名稱Computer Vision -- ECCV 2012. Workshops and Demonstrations被引頻次




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Rosemary Stewart,Jean-Louis Barsouxformation provided by stereo cameras. Yet, extracting useful information at speeds higher than 100?Hz is a non-trivial task. We propose a method to estimate the ground-obstacles boundary (and its distance), without computing a depth map. By properly parametrizing the search space in the image plane

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Rosemary Stewart,Jean-Louis Barsouxtask where annotators are asked to describe differences between pairs of images. This captures the intuition that for a lexicon to be useful, it should achieve twin goals of discrimination and communication. Next, we show that such comparative text collected for many pairs of images can be analyzed

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Lagoons of the Smallest Russian Sea,or to produce compact signature of images. However, when high classification performance is expected, state-of-the-art results are typically obtained by combining Fisher Vectors (FV) and Spatial Pyramid Matching (SPM), leading to image signatures with dimensionality up to 262,144?[1]. This is a hind

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Genetic Selection and Biotechnology,to capture prior information. With the proposed method we mitigate the effective Markovian Behavior of the ESN. We are able to keep a set of hypotheses about the entire history of behaviors and to evaluate them online based on new observations. The performance is evaluated under two complex visual b

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New Webs and New Constituencies,ly. The system presented in this article addresses the fall detection problem through visual cues. The proposed methodology utilize a fast, real-time background subtraction algorithm based on motion information in the scene and capable to operate properly in dynamically changing visual conditions, i

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