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» Learning realistic human actions from movies
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ICCV
2011
IEEE
12 years 7 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...
ICCV
2011
IEEE
12 years 7 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
PRESENCE
2006
104views more  PRESENCE 2006»
13 years 7 months ago
Physically Realistic Virtual Surgery Using the Point-Associated Finite Field (PAFF) Approach
The generation of multimodal virtual environments for surgical training is complicated by the necessity to develop heterogeneous simulation scenarios such as surgical incision, ca...
Suvranu De, Yi-Je Lim, Manivannan Muniyandi, Manda...
CVPR
2010
IEEE
14 years 1 months ago
Recognizing Human Actions from Still Images with Latent Poses
We consider the problem of recognizing human actions from still images. We propose a novel approach that treats the pose of the person in the image as latent variables that will h...
Weilong Yang, Yang Wang, Greg Mori
TCSV
2008
175views more  TCSV 2008»
13 years 7 months ago
Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
Wanqing Li, Zhengyou Zhang, Zicheng Liu