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Image processing / Functional analysis / Statistical classification / Support vector machine / Normal distribution / Segmentation / Kalman filter / Vector space / Distribution / Algebra / Mathematics / Statistics


An Online Discriminative Approach to Background Subtraction Li Cheng National ICT Australia Shaojun Wang, Dale Schuurmans
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Document Date: 2006-09-03 13:40:48


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File Size: 288,71 KB

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City

Cambridge / Wiley / /

Company

MIT Press / /

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Facility

Computing Science University of Alberta / /

IndustryTerm

real-time video analysis / Online Discriminative Approach / principled background subtraction algorithm / realtime processing / online risk minimization framework / inner product / iterative algorithm / online learning scenario / background subtraction algorithm / online learning / rest algorithms / real-time applications / ore mining site / on-line estimate / above background subtraction algorithms / proposed and existing background subtraction algorithms / on-line fashion / background subtraction algorithms / on-line discriminative learning technique / non-parametric algorithms / /

Organization

MIT / MF FD / Dale Schuurmans Department / University of Alberta / /

Person

ODA SODA KDE / Dale Schuurmans / /

Position

Non-parametric model for background subtraction / representative / /

ProgrammingLanguage

C / /

ProvinceOrState

New York / Massachusetts / /

Technology

KDE algorithm / proposed ILK/SILK algorithms / six background subtraction algorithms / background subtraction algorithm / principled background subtraction algorithm / MoG algorithm / SILK algorithm / rest algorithms / existing background subtraction algorithms / background subtraction algorithms / ILK algorithm / proposed algorithm / proposed and existing background subtraction algorithms / above background subtraction algorithms / FD algorithms / training algorithm / proposed algorithms / iterative algorithm / three non-parametric algorithms / five algorithms / MF algorithms / /

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