Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks

@article{Yoon2017PixelLevelMF,
  title={Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks},
  author={Jae Shin Yoon and François Rameau and Jun-Sik Kim and Seokju Lee and Seunghak Shin and In-So Kweon},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={2186-2195}
}

• Jae Shin Yoon, François Rameau, +3 authors In-So Kweon
• Published 2017 in
  2017 IEEE International Conference on Computer…
• DOI:10.1109/ICCV.2017.238

We propose a novel video object segmentation algorithm based on pixel-level matching using Convolutional Neural Networks (CNN). Our network aims to distinguish the target area from the background on the basis of the pixel-level similarity between two object units. The proposed network represents a target object using features from different depth layers in order to take advantage of both the spatial details and the category-level semantic information. Furthermore, we propose a feature… CONTINUE READING

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