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نویسنده : Sangmin Oh; Anthony Hoogs; Amitha Perera; Naresh Cuntoor; Chia-Chih Chen; Jong Taek Lee; Saurajit Mukherjee; J. K. Aggarwal; Hyungtae Lee; Larry Davis; Eran Swears; Xioyang Wang; Qiang Ji; Kishore Reddy; Mubarak Shah; Carl Vondrick; Hamed Pirsiavash; Deva Ramanan; Jenny Yuen; Antonio Torralba; Bi Song; Anesco Fong; Amit Roy-Chowdhury; Mita Desai

سال: 2011

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Articulated Human Detection with Flexible Mixtures of Parts

Efficiently Scaling up Crowdsourced Video Annotation

SEMARTCam scheduler: semantics driven real-time data collection from indoor camera networks to maximize event detection

Globally-optimal greedy algorithms for tracking a variable number of objects

A large-scale benchmark dataset for event recognition in surveillance video

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Articulated Human Detection with Flexible Mixtures of Parts

Efficiently Scaling up Crowdsourced Video Annotation

SEMARTCam scheduler: semantics driven real-time data collection from indoor camera networks to maximize event detection

Globally-optimal greedy algorithms for tracking a variable number of objects

A large-scale benchmark dataset for event recognition in surveillance video