资源分类
》 资源 》论文》A Video Representation Using Temporal Superpixels

A Video Representation Using Temporal Superpixels

2019-12-10 | |  98 |   103 |   0

Abstract

We develop a generative probabilistic model for temporally consistent superpixels in video sequences. In contrast to supervoxel methods, object parts in different frames are tracked by the same temporal superpixel. We explicitly model flflow between frames with a bilateral Gaussian process and use this information to propagate superpixels in an online fashion. We consider four novel metrics to quantify performance of a temporal superpixel representation and demonstrate superior performance when compared to supervoxel methods.

上一篇：Visual Place Recognition with Repetitive Structures

下一篇：Dense Variational Reconstruction of Non-Rigid Surfaces from Monocular Video?

用户评价
全部评价

热门资源

  • Deep Cross-media ...

    Cross-media retrieval is a research hotspot in ...

  • Regularizing RNNs...

    Recently, caption generation with an encoder-de...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Visual Reinforcem...

    For an autonomous agent to fulfill a wide range...

  • Joint Pose and Ex...

    Facial expression recognition (FER) is a challe...