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» Recognising Action as Clouds of Space-Time Interest Points
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CVPR
2009
IEEE
13 years 9 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
ISVC
2009
Springer
12 years 8 months ago
Group Action Recognition Using Space-Time Interest Points
Group action recognition is a challenging task in computer vision due to the large complexity induced by multiple motion patterns. This paper aims at analyzing group actions in vid...
Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, Ha...
ICPR
2004
IEEE
13 years 3 months ago
Velocity Adaptation of Space-Time Interest Points
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may...
Ivan Laptev, Tony Lindeberg
CVPR
2010
IEEE
12 years 10 months ago
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
Adriana Kovashka, Kristen Grauman
MM
2009
ACM
252views Multimedia» more  MM 2009»
12 years 8 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
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