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» Context-Aided Human Recognition - Clustering
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CVPR
2004
IEEE
14 years 9 months ago
Recovering Human Body Configurations: Combining Segmentation and Recognition
The goal of this work is to take an image such as the one in Figure 1(a), detect a human figure, and localize his joints and limbs (b) along with their associated pixel masks (c)....
Greg Mori, Xiaofeng Ren, Alexei A. Efros, Jitendra...
ICPR
2008
IEEE
14 years 2 months ago
Full body tracking-based human action recognition
In this paper, we present a novel method for human action recognition with the combined global movement feature and local configuration feature. The human action is represented as...
Junxia Gu, Xiaoqing Ding, Shengjin Wang, Youshou W...
FGR
2006
IEEE
163views Biometrics» more  FGR 2006»
14 years 1 months ago
Human Action Recognition Using Multi-View Image Sequences Features
Recognizing human action from image sequences is an active area of research in computer vision. In this paper, we present a novel method for human action recognition from image se...
Mohiuddin Ahmad, Seong-Whan Lee
ICMCS
2009
IEEE
168views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Human activity recognition based on the blob features
In this paper, we present a novel approach for human activities recognition in the video. We analyze human activities in the sequential frames because human activities can be cons...
Jie Yang, Jian Cheng, Hanqing Lu
CVPR
2009
IEEE
1962views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions
System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, ...
Rizwan Chaudhry, Avinash Ravichandran, Gregory D. ...