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Optics / Surveillance / Mixed reality / Tracking / Video tracking / Pedestrian detection / Image processing / Vision / Imaging / Computer vision


PKU-NEC @ TRECVid 2011 SED: Sequence-Based Event Detection in Surveillance Video* Xiaoyu Fang a, Hongming Zhang b, Chi Su a, Teng Xu a, Feng Wang b, Shaopeng Tang b, Ziwei Xia a, Peixi Peng a, Guoyi Liu b, Yaowei Wang a,
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Document Date: 2013-07-23 10:37:43

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File Size: 2,32 MB

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Company

NEC Laboratories / Neural Information Processing Systems / Cox / NEC Labs / Mei / This Year-GTB This Year-SVM / /

Country

China / /

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Event

Product Recall / Product Issues / /

Facility

Peking University / /

IndustryTerm

hypothesis tracking algorithm / large-scale video computing platform / Online Boosting algorithm / post-processing phrase / detection-by-tracking algorithm / /

Organization

Peking University / Chinese National Natural Science Foundation / Fok Ying Dong Education Foundation / National Engineering Laboratory for Video Technology / School of EE / Pattern Analysis and Machine Intelligence / /

Person

Luc Van Gool / Jerome H. Friedman / Loannis Tsochantaridis / Luo Yanlin / Guangyu Zhu / Qiang Zhu / Yingkun Xu / Chen Yeh / Huang Quan / Chi Su / Bastian Leibe / Ying Dong / Yasemin Altun / Thomas Hofmann / Esther Koller-Meier / Wei Zeng / Michael D. Breitenstein / Fabian Reichlin / Kwang-Ting Cheng / /

Position

Corresponding author / /

Product

This Year-SVM Camera5 Last Year-SVM Last Year-MPL This Year-GTB This Year-SVM / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Technology

Hypothesis Tracking Method MHT algorithm / An algorithm / hypothesis tracking algorithm / Instance Learning algorithm / Online Boosting algorithm / tracking algorithm / detection-by-tracking algorithm / /

SocialTag