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ECCV
2006
Springer
15 years 8 months ago
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
Fengjun Lv, Ramakant Nevatia
MM
2010
ACM
211views Multimedia» more  MM 2010»
15 years 6 months ago
Artistic paper-cut of human portraits
This paper presents a method to render artistic paper-cut of human portraits. Rendering paper-cut images from photographs can be considered as an inhomogeneous image binarization ...
Meng Meng, Mingtian Zhao, Song Chun Zhu
CAD
2007
Springer
15 years 6 months ago
Automatic body feature extraction from a marker-less scanned human body
In this paper, we propose a novel method of body feature extraction from a marker-less scanned body. The descriptions of human body features mostly defined in ASTM (1999) and ISO...
Iat-Fai Leong, Jing-Jing Fang, Ming-June Tsai
CVPR
2009
IEEE
1119views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Adaptive Contour Features in Oriented Granular Space for Human Detection and Segmentation
In this paper, a novel feature named Adaptive Contour Feature (ACF) is proposed for human detection and segmentation. This feature consists of a chain of a number of granules in...
Wei Gao (Tsinghua University), Haizhou Ai (Tsinghu...
ICPR
2006
IEEE
16 years 7 months ago
Tracking a Variable Number of Human Groups in Video Using Probability Hypothesis Density
We apply a multi-target recursive Bayes filter, the Probability Hypothesis Density (PHD) filter, to a visual tracking problem: tracking a variable number of human groups in video....
Ya-Dong Wang, Jian-Kang Wu, Ashraf A. Kassim, Weim...