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SIGMAP
2008
138views Business» more  SIGMAP 2008»
14 years 8 days ago
Capturing the Human Action Semantics using a Query-By-Example
Anna Montesanto, Paola Baldassarri, Aldo Franco Dr...
CVPR
2011
IEEE
13 years 7 months ago
Recognizing Human Actions by Attributes
In this paper we explore the idea of using high-level semantic concepts, also called attributes, to represent human actions from videos and argue that attributes enable the constr...
Jingen Liu
IJCV
2010
261views more  IJCV 2010»
13 years 9 months ago
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing meth...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
ICCV
2011
IEEE
12 years 11 months ago
Human Action Recognition by Learning Bases of Action Attributes and Parts
In this work, we propose to use attributes and parts for recognizing human actions in still images. We define action attributes as the verbs that describe the properties of human...
Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy La...
CVPR
2011
IEEE
13 years 7 months ago
Functional Categorization of Objects using Real-time Markerless Motion Capture
Unsupervised categorization of objects is a fundamental problem in computer vision. While appearance-based methods have become popular recently, other important cues like function...
Juergen Gall, Andrea Fossati, Luc VanGool