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CVPR
2009
IEEE
16 years 7 months ago
Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline...
Abhinav Gupta (University of Maryland), Praveen Sr...
ISVC
2007
Springer
15 years 6 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
CVPR
2008
IEEE
15 years 6 months ago
Pose primitive based human action recognition in videos or still images
This paper presents a method for recognizing human actions based on pose primitives. In learning mode, the parameters representing poses and activities are estimated from videos. ...
Christian Thurau, Václav Hlavác
IROS
2006
IEEE
152views Robotics» more  IROS 2006»
15 years 5 months ago
Integrating Active Mobile Robot Object Recognition and SLAM in Natural Environments
Abstract— Linking semantic and spatial information has become an important research area in robotics since, for robots interacting with humans and performing tasks in natural env...
Staffan Ekvall, Patric Jensfelt, Danica Kragic
BMCBI
2011
14 years 3 months ago
RegNetB: Predicting Relevant Regulator-Gene Relationships in Localized Prostate Tumor Samples
Background: A central question in cancer biology is what changes cause a healthy cell to form a tumor. Gene expression data could provide insight into this question, but it is dif...
Angel Alvarez, Peter J. Woolf