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Titlebook: Computer Vision - ACCV 2014 Workshops; Singapore, Singapore C.V. Jawahar,Shiguang Shan Conference proceedings 2015 Springer International P

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Hannah Curran-Troop,Rosalind Gill,Jo Littlerdistance between two gait spaces is the same as distance between two points on a Grassmann manifold. Person identification is, therefore, carried out on-the-fly based on the uniqueness of gait, using Grassmann discriminant analysis.
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The Cultural Politics of Femvertisingssified by trained boosted decision trees and labeled with semantic classes e.g. tree, pedestrian, car, etc. The proposed method is evaluated both quantitatively and qualitatively on a challenging fixed-position . (TLS) Velodyne data set and two . (MLS), Paris-rue-Madam and NAVTEQ True databases. Ro
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https://doi.org/10.1057/978-1-137-47755-2tep of the DBSR can be changed to simpler consistency check method. In this way the DBSR computational complexity is reduced by 26 % with 0.2 % dBR average bitrate reduction for coded views and 0.1 % average bitrate increase for synthesized views. We show that proposed scheme outperforms the anchor
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Enhancing Person Re-identification by Integrating Gait Biometricy the fused feature. Finally, our method is tested on CASIA gait dataset. Experiments show that gait biometric is an effective feature integrated with appearance features to enhance person re-identification.
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