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Assistive technology / Closed-circuit television / Crime prevention / Security engineering / Surveillance / Security / National security / Public safety


Online Detection of Unusual Events in Videos via Dynamic Sparse Coding Bin Zhao School of Computer Science Carnegie Mellon University Li Fei-Fei
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Document Date: 2013-09-22 18:20:32


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File Size: 2,80 MB

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Company

SIAM Journal / Youtube / Intel / /

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Facility

The subway / Subway Entrance In / Subway Surveillance Video The / /

IndustryTerm

online fashion / online re-constructibility / Online Update / natural solution / database indexing algorithm / optimization algorithm / sparse coding algorithms / online learning framework / online updating / proposed unusual event detection algorithm / online dictionary learning algorithm / Online dictionary learning / online algorithm / sparse coding algorithm / online dictionary / feature-sign search algorithm / learning algorithm / online updates / unusual event detection algorithm / /

Organization

National Science Foundation / Stanford University / Dynamic Sparse Coding Bin Zhao School / DBI0546594 / Career Award / ONR N000140910758 / DARPA NBCH1080007 and Alfred P. Sloan Foundation / Carnegie Mellon University / /

Person

Juan Carlos Niebles / P. DollĀ“ar / V / /

Position

janitor / /

ProgrammingLanguage

MATLAB / /

Technology

Adam / unusual event detection algorithm / online algorithm / sparse coding algorithms / alternating optimization algorithm / proposed algorithm / unsupervised algorithm / sliding windows / sparse coding algorithm / proposed unusual event detection algorithm / feature-sign search algorithm / online dictionary learning algorithm / database indexing algorithm / defined using sliding windows / /

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