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Computer vision / Machine learning / Statistical inference / Expectation–maximization algorithm / Missing data / Edge detection / Optical flow / Conditional random field / Object recognition / Statistics / Artificial intelligence / Estimation theory


Surveillance Event Detection Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangliang Cao, Vuong Le, Shen-Fu Tsai, Kai-Hsiang Lin, Zhen Li, Jianchao Yang, Thomas S. Huang Department of Electrical and Computer Engineering Un
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Document Date: 2009-05-18 11:26:55

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City

The Rule / Washington / DC / Santa Barbara / Nice / New York / Cupertino / /

Company

Neural Information Processing Systems / NEC / Illinois Urbana Coordinated Sciences Laboratory / Liangliang / Yihong Gong NEC Laboratories America Inc. / /

Country

France / /

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Facility

Computer Engineering University of Illinois Urbana Coordinated Sciences Laboratory / Beckman Institute / /

IndustryTerm

post-processing stage / event search / vision technologies / machine learning algorithms / surveillance systems / background subtraction algorithm / brute force search / space-time model enabling efficient search / brute force search method / gradient ascent algorithm / imaging / /

OperatingSystem

L3 / /

Organization

University of Illinois / Beckman Institute for Advanced Sciences / US Federal Reserve / Thomas S. Huang Department of Electrical / Pattern Analysis and Machine Intelligence / /

Person

Thomas S. Huang / Dennis J. Lin / Kai Yu / Kai-Hsiang Lin / Ming Yang / Vuong Le / /

Position

Candidate Region / Cao / /

Product

Lukas-Kanade / /

ProgrammingLanguage

DC / /

ProvinceOrState

New York / California / /

Technology

background subtraction algorithm / video-based surveillance systems / Neural Network / vision technologies / incorbine three machine learning algorithms / Expectation Maximization algorithm / gesture recognition / flash / pdf / gradient ascent algorithm / /

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