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

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Gentrification and Its Discontents 1,es are analyzed through a multi-class SVM. Testing has been carried out distinguishing between casual and intentional interactions, where intentional events are further subdivided into normal and abnormal behaviors. The algorithm is validated on benchmark datasets, as well as on a new dataset specifically designed for interactions analysis.
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Fast Stixel Computation for Fast Pedestrian Detectiontimate the ground-obstacles boundary (and its distance), without computing a depth map. By properly parametrizing the search space in the image plane we improve the algorithmic performance, and reach speeds of . on a desktop CPU. When connected with a state of the art GPU objects detector, we reach high quality detections at the record speed of ..
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Spatio-temporal Video Representation with Locality-Constrained Linear Codingordinate representation produced by max pooling. The extension is evaluated using human action classification tasks. Experiments with the KTH, Weizmann, UCF sports and Hollywood datasets indicate that the approach is able to produce results comparable to the state-of-the-art.
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Real Time Detection of Social Interactions in Surveillance Videoes are analyzed through a multi-class SVM. Testing has been carried out distinguishing between casual and intentional interactions, where intentional events are further subdivided into normal and abnormal behaviors. The algorithm is validated on benchmark datasets, as well as on a new dataset specifically designed for interactions analysis.
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Conference proceedings 2012 Computer Vision, ECCV 2012, held in Firenze, Italy, in October 2012.The total of 179 workshop papers and 23 demonstration papers was carefully reviewed and selected for inclusion in the proceedings. They where held at workshops with the following themes: non-rigid shape analysis and deformable imag
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Rosemary Stewart,Jean-Louis Barsouxsed in a first phase to conservatively construct a short-list of locations, for which the exact inner products are subsequently evaluated..We quantitatively evaluate our method and demonstrate that it allows for approximately a twofold speedup over both [2] and [4] with negligible loss in accuracy.
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