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Saturation degree estimation is a vital problem of signal timing optimization. However, classic loop-detector-based algorithms are not capable to capture the severity of oversaturation, since detectors are located in front of stop lines, and also cannot distinguish the saturated degree in different lane groups if detectors are located at an upstream position. In this paper, we present a new method...
This paper presents a hierarchical approach to address the problem of 3D human body pose estimation from a single images. In order to deal with multimodality, we learn piecewise mappings from observations to human poses. We first construct a tree on the pose manifold by applying affinity propagation clustering at the different levels of the hierarchy. Support vector machines classifiers are then trained...
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