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Face recognition / Pedestrian detection / Optical flow / Support vector machine / Boosting methods for object categorization / Computer vision / Surveillance / Face detection


PKU@TRECVID2009: Single-Actor and Pair-Activity Event Detection in Surveillance Video Zhipeng Hu a, Guangnan Ye b, Guochen Jia a, Xibin Chen b, Qiong Hu c, Kaihua Jiang b, Yaowei Wang a, d, Lei Qing c, Yonghong Tian a, X
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Document Date: 2010-04-14 09:58:22

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File Size: 1,24 MB

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City

Beijing / Oliver / Nice / Rosario / Pattern Recognition / Nguyen / San Juan / /

Company

Toshiba / Mei / /

Country

Puerto Rico / France / United States / China / /

Event

Product Recall / Product Issues / /

Facility

Institute of Computing Technology / National Institute of Standards / Peking University / Beijing Institute of Technology / /

IndustryTerm

potential applications / Online Boosting method / online-boosting / post-processing procedure / Online Boosting / Background subtraction technology / background subtraction technologies / adaptive Online Boosting framework / post processing / post-processing / online-boosting method / /

Organization

Chinese Academy of Sciences / Key Lab of Intel / Beijing Institute of Technology / Beijing / Institute of Computing Technology / Department of Electronic Engineering / National Engineering Laboratory for Video Technology / Speech and Hearing Research Center / Peking University / Beijing / /

Person

Davis L. Non-parametric / Ryan Rifkin / Lei Qing / Helmut Grabner / Qiang Zhu / Chen Yeh / Zhu Guang-yu / Kwang-Ting Cheng / Wen Gao / /

Position

Single-Actor / model for background subtraction / forward / /

Product

Tracking / ratio / /

ProvinceOrState

New Mexico / New York / Northern Territory / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Journal of Machine Learning Research / /

Technology

Then EM algorithm / machine learning / Image Processing / Background subtraction technology / background subtraction technologies / /

URL

http /

SocialTag