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ICCV
2005
IEEE
14 years 2 months ago
Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras
Most work in action recognition deals with sequences acquired by stationary cameras with fixed viewpoints. Due to the camera motion, the trajectories of the body parts contain no...
Alper Yilmaz, Mubarak Shah
CVPR
2008
IEEE
14 years 10 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
EMMCVPR
2007
Springer
14 years 2 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
CVPR
2011
IEEE
13 years 5 months ago
Learning Hierarchical Poselets for Human Parsing
We consider the problem of human parsing with partbased models. Most previous work in part-based models only considers rigid parts (e.g. torso, head, half limbs) guided by human a...
Yang Wang, Duan Tran, Zicheng Liao
CVPR
2000
IEEE
14 years 10 months ago
Scene Constraints-Aided Tracking of Human Body
This paper describes a new method for tracking of a human body in 3D motion by using constraints imposed on the body from the scene. An image-based approach for tracking exclusive...
Masanobu Yamamoto, Katsutoshi Yagishita