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Robust Video Segment Proposals with Painless Occlusion Handling Zhengyang Wu(1) , Fuxin Li(1) , Rahul Sukthankar(2) , James M. RehgComputational Perception Lab - Georgia Tech. (2) Google Research [zwu66, fli, reh
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Document Date: 2015-05-25 21:19:15

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File Size: 2,44 MB

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Hough / /

Company

Intel / CNN / Google / /

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Event

Product Issues / Product Recall / /

Facility

We store / /

IndustryTerm

online addition updates / post-processing step / online tracker / object recognition systems / semantic segmentation systems / video search / Selective search / segmentation algorithm / post-processing / computing / occlusion handling algorithm / proposed proposed algorithm / state-of-art coarse-to-fine hierarchical video segmentation algorithms / subsequent algorithms / segmentation proposal algorithm / /

Organization

Computational Perception Lab / National Science Foundation / U.S. Securities and Exchange Commission / Pattern Analysis and Machine Intelligence / /

Person

M. Grundmann / V / Mj Vij / James M. Rehg / Rahul Sukthankar / /

Position

learned model for both normal tracks and occluded tracks / background layer model for object tracking through occlusion / probabilistic graphical model for video segmentation / appearance model for all targets / /

Product

object / /

ProvinceOrState

Georgia / /

Technology

segmentation proposal algorithm / occlusion handling algorithm / neural network / proposed algorithm / segmentation algorithm / one algorithm / 1 Algorithm / proposed proposed algorithm / streaming video / two state-of-art coarse-to-fine hierarchical video segmentation algorithms / RIGOR segmentation proposal algorithm / /

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