IEEE Trans Image Process - Automatic dynamic texture segmentation using local descriptors and optical flow.

Tópicos

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Resumo

A dynamic texture (DT) is an extension of the texture to the temporal domain. How to segment a DT is a challenging problem. In this paper, we address the problem of segmenting a DT into disjoint regions. A DT might be different from its spatial mode (i.e., appearance) and/or temporal mode (i.e., motion field). To this end, we develop a framework based on the appearance and motion modes. For the appearance mode, we use a new local spatial texture descriptor to describe the spatial mode of the DT; for the motion mode, we use the optical flow and the local temporal texture descriptor to represent the temporal variations of the DT. In addition, for the optical flow, we use the histogram of oriented optical flow (HOOF) to organize them. To compute the distance between two HOOFs, we develop a simple effective and efficient distance measure based on Weber's law. Furthermore, we also address the problem of threshold selection by proposing a method for determining thresholds for the segmentation method by an offline supervised statistical learning. The experimental results show that our method provides very good segmentation results compared to the state-of-the-art methods in segmenting regions that differ in their dynamics.

Resumo Limpo

dynam textur dt extens textur tempor domain segment dt challeng problem paper address problem segment dt disjoint region dt might differ spatial mode ie appear andor tempor mode ie motion field end develop framework base appear motion mode appear mode use new local spatial textur descriptor describ spatial mode dt motion mode use optic flow local tempor textur descriptor repres tempor variat dt addit optic flow use histogram orient optic flow hoof organ comput distanc two hoof develop simpl effect effici distanc measur base weber law furthermor also address problem threshold select propos method determin threshold segment method offlin supervis statist learn experiment result show method provid good segment result compar stateoftheart method segment region differ dynam

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